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1: Character Input Solutions
2: Odd Or Even Solutions
3: List Less Than Ten Solutions
4: Divisors Solutions
5: List Overlap Solutions
6: String Lists Solutions
7: List Comprehensions Solutions
8: Rock Paper Scissors Solutions
9: Guessing Game One Solutions
10: List Overlap Comprehensions Solutions
11: Check Primality Functions Solutions
12: List Ends Solutions
13: Fibonacci Solutions
14: List Remove Duplicates Solutions
15: Reverse Word Order Solutions
16: Password Generator Solutions
17: Decode A Web Page Solutions
18: Cows And Bulls Solutions
19: Decode A Web Page Two Solutions
20: Element Search Solutions
21: Write To A File Solutions
22: Read From File Solutions
23: File Overlap Solutions
24: Draw A Game Board Solutions
25: Guessing Game Two Solutions
26: Check Tic Tac Toe Solutions
27: Tic Tac Toe Draw Solutions
28: Max Of Three Solutions
29: Tic Tac Toe Game Solutions
30: Pick Word Solutions
31: Guess Letters Solutions
32: Hangman Solutions
33: Birthday Dictionaries Solutions
34: Birthday Json Solutions
35: Birthday Months Solutions
36: Birthday Plots Solutions
37: Functions Refactor Solution
38: f Strings Solution
39: Character Input Datetime Solution
40: Error Checking Solution

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10 Python Practice Exercises for Beginners with Solutions

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A great way to improve quickly at programming with Python is to practice with a wide range of exercises and programming challenges. In this article, we give you 10 Python practice exercises to boost your skills.

Practice exercises are a great way to learn Python. Well-designed exercises expose you to new concepts, such as writing different types of loops, working with different data structures like lists, arrays, and tuples, and reading in different file types. Good exercises should be at a level that is approachable for beginners but also hard enough to challenge you, pushing your knowledge and skills to the next level.

If you’re new to Python and looking for a structured way to improve your programming, consider taking the Python Basics Practice course. It includes 17 interactive exercises designed to improve all aspects of your programming and get you into good programming habits early. Read about the course in the March 2023 episode of our series Python Course of the Month .

Take the course Python Practice: Word Games , and you gain experience working with string functions and text files through its 27 interactive exercises. Its release announcement gives you more information and a feel for how it works.

Each course has enough material to keep you busy for about 10 hours. To give you a little taste of what these courses teach you, we have selected 10 Python practice exercises straight from these courses. We’ll give you the exercises and solutions with detailed explanations about how they work.

To get the most out of this article, have a go at solving the problems before reading the solutions. Some of these practice exercises have a few possible solutions, so also try to come up with an alternative solution after you’ve gone through each exercise.

Let’s get started!

Exercise 1: User Input and Conditional Statements

Write a program that asks the user for a number then prints the following sentence that number of times: ‘I am back to check on my skills!’ If the number is greater than 10, print this sentence instead: ‘Python conditions and loops are a piece of cake.’ Assume you can only pass positive integers.

Here, we start by using the built-in function input() , which accepts user input from the keyboard. The first argument is the prompt displayed on the screen; the input is converted into an integer with int() and saved as the variable number. If the variable number is greater than 10, the first message is printed once on the screen. If not, the second message is printed in a loop number times.

Exercise 2: Lowercase and Uppercase Characters

Below is a string, text . It contains a long string of characters. Your task is to iterate over the characters of the string, count uppercase letters and lowercase letters, and print the result:

We start this one by initializing the two counters for uppercase and lowercase characters. Then, we loop through every letter in text and check if it is lowercase. If so, we increment the lowercase counter by one. If not, we check if it is uppercase and if so, we increment the uppercase counter by one. Finally, we print the results in the required format.

Exercise 3: Building Triangles

Create a function named is_triangle_possible() that accepts three positive numbers. It should return True if it is possible to create a triangle from line segments of given lengths and False otherwise. With 3 numbers, it is sometimes, but not always, possible to create a triangle: You cannot create a triangle from a = 13, b = 2, and c = 3, but you can from a = 13, b = 9, and c = 10.

The key to solving this problem is to determine when three lines make a triangle regardless of the type of triangle. It may be helpful to start drawing triangles before you start coding anything.

Notice that the sum of any two sides must be larger than the third side to form a triangle. That means we need a + b > c, c + b > a, and a + c > b. All three conditions must be met to form a triangle; hence we need the and condition in the solution. Once you have this insight, the solution is easy!

Exercise 4: Call a Function From Another Function

Create two functions: print_five_times() and speak() . The function print_five_times() should accept one parameter (called sentence) and print it five times. The function speak(sentence, repeat) should have two parameters: sentence (a string of letters), and repeat (a Boolean with a default value set to False ). If the repeat parameter is set to False , the function should just print a sentence once. If the repeat parameter is set to True, the function should call the print_five_times() function.

This is a good example of calling a function in another function. It is something you’ll do often in your programming career. It is also a nice demonstration of how to use a Boolean flag to control the flow of your program.

If the repeat parameter is True, the print_five_times() function is called, which prints the sentence parameter 5 times in a loop. Otherwise, the sentence parameter is just printed once. Note that in Python, writing if repeat is equivalent to if repeat == True .

Exercise 5: Looping and Conditional Statements

Write a function called find_greater_than() that takes two parameters: a list of numbers and an integer threshold. The function should create a new list containing all numbers in the input list greater than the given threshold. The order of numbers in the result list should be the same as in the input list. For example:

Here, we start by defining an empty list to store our results. Then, we loop through all elements in the input list and test if the element is greater than the threshold. If so, we append the element to the new list.

Notice that we do not explicitly need an else and pass to do nothing when integer is not greater than threshold . You may include this if you like.

Exercise 6: Nested Loops and Conditional Statements

Write a function called find_censored_words() that accepts a list of strings and a list of special characters as its arguments, and prints all censored words from it one by one in separate lines. A word is considered censored if it has at least one character from the special_chars list. Use the word_list variable to test your function. We've prepared the two lists for you:

This is another nice example of looping through a list and testing a condition. We start by looping through every word in word_list . Then, we loop through every character in the current word and check if the current character is in the special_chars list.

This time, however, we have a break statement. This exits the inner loop as soon as we detect one special character since it does not matter if we have one or several special characters in the word.

Exercise 7: Lists and Tuples

Create a function find_short_long_word(words_list) . The function should return a tuple of the shortest word in the list and the longest word in the list (in that order). If there are multiple words that qualify as the shortest word, return the first shortest word in the list. And if there are multiple words that qualify as the longest word, return the last longest word in the list. For example, for the following list:

the function should return

Assume the input list is non-empty.

The key to this problem is to start with a “guess” for the shortest and longest words. We do this by creating variables shortest_word and longest_word and setting both to be the first word in the input list.

We loop through the words in the input list and check if the current word is shorter than our initial “guess.” If so, we update the shortest_word variable. If not, we check to see if it is longer than or equal to our initial “guess” for the longest word, and if so, we update the longest_word variable. Having the >= condition ensures the longest word is the last longest word. Finally, we return the shortest and longest words in a tuple.

Exercise 8: Dictionaries

As you see, we've prepared the test_results variable for you. Your task is to iterate over the values of the dictionary and print all names of people who received less than 45 points.

Here, we have an example of how to iterate through a dictionary. Dictionaries are useful data structures that allow you to create a key (the names of the students) and attach a value to it (their test results). Dictionaries have the dictionary.items() method, which returns an object with each key:value pair in a tuple.

The solution shows how to loop through this object and assign a key and a value to two variables. Then, we test whether the value variable is greater than 45. If so, we print the key variable.

Exercise 9: More Dictionaries

Write a function called consonant_vowels_count(frequencies_dictionary, vowels) that takes a dictionary and a list of vowels as arguments. The keys of the dictionary are letters and the values are their frequencies. The function should print the total number of consonants and the total number of vowels in the following format:

For example, for input:

the output should be:

Working with dictionaries is an important skill. So, here’s another exercise that requires you to iterate through dictionary items.

We start by defining a list of vowels. Next, we need to define two counters, one for vowels and one for consonants, both set to zero. Then, we iterate through the input dictionary items and test whether the key is in the vowels list. If so, we increase the vowels counter by one, if not, we increase the consonants counter by one. Finally, we print out the results in the required format.

Exercise 10: String Encryption

Implement the Caesar cipher . This is a simple encryption technique that substitutes every letter in a word with another letter from some fixed number of positions down the alphabet.

For example, consider the string 'word' . If we shift every letter down one position in the alphabet, we have 'xpse' . Shifting by 2 positions gives the string 'yqtf' . Start by defining a string with every letter in the alphabet:

Name your function cipher(word, shift) , which accepts a string to encrypt, and an integer number of positions in the alphabet by which to shift every letter.

This exercise is taken from the Word Games course. We have our string containing all lowercase letters, from which we create a shifted alphabet using a clever little string-slicing technique. Next, we create an empty string to store our encrypted word. Then, we loop through every letter in the word and find its index, or position, in the alphabet. Using this index, we get the corresponding shifted letter from the shifted alphabet string. This letter is added to the end of the new_word string.

This is just one approach to solving this problem, and it only works for lowercase words. Try inputting a word with an uppercase letter; you’ll get a ValueError . When you take the Word Games course, you slowly work up to a better solution step-by-step. This better solution takes advantage of two built-in functions chr() and ord() to make it simpler and more robust. The course contains three similar games, with each game comprising several practice exercises to build up your knowledge.

Do You Want More Python Practice Exercises?

We have given you a taste of the Python practice exercises available in two of our courses, Python Basics Practice and Python Practice: Word Games . These courses are designed to develop skills important to a successful Python programmer, and the exercises above were taken directly from the courses. Sign up for our platform (it’s free!) to find more exercises like these.

We’ve discussed Different Ways to Practice Python in the past, and doing interactive exercises is just one way. Our other tips include reading books, watching videos, and taking on projects. For tips on good books for Python, check out “ The 5 Best Python Books for Beginners .” It’s important to get the basics down first and make sure your practice exercises are fun, as we discuss in “ What’s the Best Way to Practice Python? ” If you keep up with your practice exercises, you’ll become a Python master in no time!

Python Projects

Practice Python
AI With Python
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Python Automation
Python Web Dev
DSA with Python
Python OOPs
Dictionaries

Python Exercise with Practice Questions and Solutions

Python List Exercise
Python String Exercise
Python Tuple Exercise
Python Dictionary Exercise
Python Set Exercise

Python Matrix Exercises

Python program to a Sort Matrix by index-value equality count
Python Program to Reverse Every Kth row in a Matrix
Python Program to Convert String Matrix Representation to Matrix
Python - Count the frequency of matrix row length
Python - Convert Integer Matrix to String Matrix
Python Program to Convert Tuple Matrix to Tuple List
Python - Group Elements in Matrix
Python - Assigning Subsequent Rows to Matrix first row elements
Adding and Subtracting Matrices in Python
Python - Convert Matrix to dictionary
Python - Convert Matrix to Custom Tuple Matrix
Python - Matrix Row subset
Python - Group similar elements into Matrix
Python - Row-wise element Addition in Tuple Matrix
Create an n x n square matrix, where all the sub-matrix have the sum of opposite corner elements as even

Python Functions Exercises

Python splitfields() Method
How to get list of parameters name from a function in Python?
How to Print Multiple Arguments in Python?
Python program to find the power of a number using recursion
Sorting objects of user defined class in Python
Assign Function to a Variable in Python
Returning a function from a function - Python
What are the allowed characters in Python function names?
Defining a Python function at runtime
Explicitly define datatype in a Python function
Functions that accept variable length key value pair as arguments
How to find the number of arguments in a Python function?
How to check if a Python variable exists?
Python - Get Function Signature
Python program to convert any base to decimal by using int() method

Python Lambda Exercises

Python - Lambda Function to Check if value is in a List
Difference between Normal def defined function and Lambda
Python: Iterating With Python Lambda
How to use if, else & elif in Python Lambda Functions
Python - Lambda function to find the smaller value between two elements
Lambda with if but without else in Python
Python Lambda with underscore as an argument
Difference between List comprehension and Lambda in Python
Nested Lambda Function in Python
Python lambda
Python | Sorting string using order defined by another string
Python | Find fibonacci series upto n using lambda
Overuse of lambda expressions in Python
Python program to count Even and Odd numbers in a List
Intersection of two arrays in Python ( Lambda expression and filter function )

Python Pattern printing Exercises

Simple Diamond Pattern in Python
Python - Print Heart Pattern
Python program to display half diamond pattern of numbers with star border
Python program to print Pascal's Triangle
Python program to print the Inverted heart pattern
Python Program to print hollow half diamond hash pattern
Program to Print K using Alphabets
Program to print half Diamond star pattern
Program to print window pattern
Python Program to print a number diamond of any given size N in Rangoli Style
Python program to right rotate n-numbers by 1
Python Program to print digit pattern
Print with your own font using Python !!
Python | Print an Inverted Star Pattern
Program to print the diamond shape

Python DateTime Exercises

Python - Iterating through a range of dates
How to add time onto a DateTime object in Python
How to add timestamp to excel file in Python
Convert string to datetime in Python with timezone
Isoformat to datetime - Python
Python datetime to integer timestamp
How to convert a Python datetime.datetime to excel serial date number
How to create filename containing date or time in Python
Convert "unknown format" strings to datetime objects in Python
Extract time from datetime in Python
Convert Python datetime to epoch
Python program to convert unix timestamp string to readable date
Python - Group dates in K ranges
Python - Divide date range to N equal duration
Python - Last business day of every month in year

Python OOPS Exercises

Get index in the list of objects by attribute in Python
Python program to build flashcard using class in Python
How to count number of instances of a class in Python?
Shuffle a deck of card with OOPS in Python
What is a clean and Pythonic way to have multiple constructors in Python?
How to Change a Dictionary Into a Class?
How to create an empty class in Python?
Student management system in Python
How to create a list of object in Python class

Python Regex Exercises

Validate an IP address using Python without using RegEx
Python program to find the type of IP Address using Regex
Converting a 10 digit phone number to US format using Regex in Python
Python program to find Indices of Overlapping Substrings
Python program to extract Strings between HTML Tags
Python - Check if String Contain Only Defined Characters using Regex
How to extract date from Excel file using Pandas?
Python program to find files having a particular extension using RegEx
How to check if a string starts with a substring using regex in Python?
How to Remove repetitive characters from words of the given Pandas DataFrame using Regex?
Extract punctuation from the specified column of Dataframe using Regex
Extract IP address from file using Python
Python program to Count Uppercase, Lowercase, special character and numeric values using Regex
Categorize Password as Strong or Weak using Regex in Python
Python - Substituting patterns in text using regex

Python LinkedList Exercises

Python program to Search an Element in a Circular Linked List
Implementation of XOR Linked List in Python
Pretty print Linked List in Python
Python Library for Linked List
Python | Stack using Doubly Linked List
Python | Queue using Doubly Linked List
Program to reverse a linked list using Stack
Python program to find middle of a linked list using one traversal
Python Program to Reverse a linked list

Python Searching Exercises

Binary Search (bisect) in Python
Python Program for Linear Search
Python Program for Anagram Substring Search (Or Search for all permutations)
Python Program for Binary Search (Recursive and Iterative)
Python Program for Rabin-Karp Algorithm for Pattern Searching
Python Program for KMP Algorithm for Pattern Searching

Python Sorting Exercises

Python Code for time Complexity plot of Heap Sort
Python Program for Stooge Sort
Python Program for Recursive Insertion Sort
Python Program for Cycle Sort
Bisect Algorithm Functions in Python
Python Program for BogoSort or Permutation Sort
Python Program for Odd-Even Sort / Brick Sort
Python Program for Gnome Sort
Python Program for Cocktail Sort
Python Program for Bitonic Sort
Python Program for Pigeonhole Sort
Python Program for Comb Sort
Python Program for Iterative Merge Sort
Python Program for Binary Insertion Sort
Python Program for ShellSort

Python DSA Exercises

Saving a Networkx graph in GEXF format and visualize using Gephi
Dumping queue into list or array in Python
Python program to reverse a stack
Python - Stack and StackSwitcher in GTK+ 3
Multithreaded Priority Queue in Python
Python Program to Reverse the Content of a File using Stack
Priority Queue using Queue and Heapdict module in Python
Box Blur Algorithm - With Python implementation
Python program to reverse the content of a file and store it in another file
Check whether the given string is Palindrome using Stack
Take input from user and store in .txt file in Python
Change case of all characters in a .txt file using Python
Finding Duplicate Files with Python

Python File Handling Exercises

Python Program to Count Words in Text File
Python Program to Delete Specific Line from File
Python Program to Replace Specific Line in File
Python Program to Print Lines Containing Given String in File
Python - Loop through files of certain extensions
Compare two Files line by line in Python
How to keep old content when Writing to Files in Python?
How to get size of folder using Python?
How to read multiple text files from folder in Python?
Read a CSV into list of lists in Python
Python - Write dictionary of list to CSV
Convert nested JSON to CSV in Python
How to add timestamp to CSV file in Python

Python CSV Exercises

How to create multiple CSV files from existing CSV file using Pandas ?
How to read all CSV files in a folder in Pandas?
How to Sort CSV by multiple columns in Python ?
Working with large CSV files in Python
How to convert CSV File to PDF File using Python?
Visualize data from CSV file in Python
Python - Read CSV Columns Into List
Sorting a CSV object by dates in Python
Python program to extract a single value from JSON response
Convert class object to JSON in Python
Convert multiple JSON files to CSV Python
Convert JSON data Into a Custom Python Object
Convert CSV to JSON using Python

Python JSON Exercises

Flattening JSON objects in Python
Saving Text, JSON, and CSV to a File in Python
Convert Text file to JSON in Python
Convert JSON to CSV in Python
Convert JSON to dictionary in Python
Python Program to Get the File Name From the File Path
How to get file creation and modification date or time in Python?
Menu driven Python program to execute Linux commands
Menu Driven Python program for opening the required software Application
Open computer drives like C, D or E using Python

Python OS Module Exercises

Rename a folder of images using Tkinter
Kill a Process by name using Python
Finding the largest file in a directory using Python
Python - Get list of running processes
Python - Get file id of windows file
Python - Get number of characters, words, spaces and lines in a file
Change current working directory with Python
How to move Files and Directories in Python
How to get a new API response in a Tkinter textbox?
Build GUI Application for Guess Indian State using Tkinter Python
How to stop copy, paste, and backspace in text widget in tkinter?
How to temporarily remove a Tkinter widget without using just .place?
How to open a website in a Tkinter window?

Python Tkinter Exercises

Create Address Book in Python - Using Tkinter
Changing the colour of Tkinter Menu Bar
How to check which Button was clicked in Tkinter ?
How to add a border color to a button in Tkinter?
How to Change Tkinter LableFrame Border Color?
Looping through buttons in Tkinter
Visualizing Quick Sort using Tkinter in Python
How to Add padding to a tkinter widget only on one side ?
Python NumPy - Practice Exercises, Questions, and Solutions
Pandas Exercises and Programs
How to get the Daily News using Python
How to Build Web scraping bot in Python
Scrape LinkedIn Using Selenium And Beautiful Soup in Python
Scraping Reddit with Python and BeautifulSoup
Scraping Indeed Job Data Using Python

Python Web Scraping Exercises

How to Scrape all PDF files in a Website?
How to Scrape Multiple Pages of a Website Using Python?
Quote Guessing Game using Web Scraping in Python
How to extract youtube data in Python?
How to Download All Images from a Web Page in Python?
Test the given page is found or not on the server Using Python
How to Extract Wikipedia Data in Python?
How to extract paragraph from a website and save it as a text file?
Automate Youtube with Python
Controlling the Web Browser with Python
How to Build a Simple Auto-Login Bot with Python
Download Google Image Using Python and Selenium
How To Automate Google Chrome Using Foxtrot and Python

Python Selenium Exercises

How to scroll down followers popup in Instagram ?
How to switch to new window in Selenium for Python?
Python Selenium - Find element by text
How to scrape multiple pages using Selenium in Python?
Python Selenium - Find Button by text
Web Scraping Tables with Selenium and Python
Selenium - Search for text on page
Python Projects - Beginner to Advanced

Python Exercise: Practice makes you perfect in everything. This proverb always proves itself correct. Just like this, if you are a Python learner, then regular practice of Python exercises makes you more confident and sharpens your skills. So, to test your skills, go through these Python exercises with solutions.

Python is a widely used general-purpose high-level language that can be used for many purposes like creating GUI, web Scraping, web development, etc. You might have seen various Python tutorials that explain the concepts in detail but that might not be enough to get hold of this language. The best way to learn is by practising it more and more.

The best thing about this Python practice exercise is that it helps you learn Python using sets of detailed programming questions from basic to advanced. It covers questions on core Python concepts as well as applications of Python in various domains. So if you are at any stage like beginner, intermediate or advanced this Python practice set will help you to boost your programming skills in Python.

List of Python Programming Exercises

In the below section, we have gathered chapter-wise Python exercises with solutions. So, scroll down to the relevant topics and try to solve the Python program practice set.

Python List Exercises

Python program to interchange first and last elements in a list
Python program to swap two elements in a list
Python | Ways to find length of list
Maximum of two numbers in Python
Minimum of two numbers in Python

>> More Programs on List

Python String Exercises

Python program to check whether the string is Symmetrical or Palindrome
Reverse words in a given String in Python
Ways to remove i’th character from string in Python
Find length of a string in python (4 ways)
Python program to print even length words in a string

>> More Programs on String

Python Tuple Exercises

Python program to Find the size of a Tuple
Python – Maximum and Minimum K elements in Tuple
Python – Sum of tuple elements
Python – Row-wise element Addition in Tuple Matrix
Create a list of tuples from given list having number and its cube in each tuple

>> More Programs on Tuple

Python Dictionary Exercises

Python | Sort Python Dictionaries by Key or Value
Handling missing keys in Python dictionaries
Python dictionary with keys having multiple inputs
Python program to find the sum of all items in a dictionary
Python program to find the size of a Dictionary

>> More Programs on Dictionary

Python Set Exercises

Find the size of a Set in Python
Iterate over a set in Python
Python – Maximum and Minimum in a Set
Python – Remove items from Set
Python – Check if two lists have atleast one element common

>> More Programs on Sets

Python – Assigning Subsequent Rows to Matrix first row elements
Python – Group similar elements into Matrix

>> More Programs on Matrices

>> More Programs on Functions

Python | Find the Number Occurring Odd Number of Times using Lambda expression and reduce function

>> More Programs on Lambda

Programs for printing pyramid patterns in Python

>> More Programs on Python Pattern Printing

Python program to get Current Time
Get Yesterday’s date using Python
Python program to print current year, month and day
Python – Convert day number to date in particular year
Get Current Time in different Timezone using Python

>> More Programs on DateTime

>> More Programs on Python OOPS

Python – Check if String Contain Only Defined Characters using Regex

>> More Programs on Python Regex

>> More Programs on Linked Lists

>> More Programs on Python Searching

Python Program for Bubble Sort
Python Program for QuickSort
Python Program for Insertion Sort
Python Program for Selection Sort
Python Program for Heap Sort

>> More Programs on Python Sorting

Program to Calculate the Edge Cover of a Graph
Python Program for N Queen Problem

>> More Programs on Python DSA

Read content from one file and write it into another file
Write a dictionary to a file in Python
How to check file size in Python?
Find the most repeated word in a text file
How to read specific lines from a File in Python?

>> More Programs on Python File Handling

Update column value of CSV in Python
How to add a header to a CSV file in Python?
Get column names from CSV using Python
Writing data from a Python List to CSV row-wise

>> More Programs on Python CSV

>> More Programs on Python JSON

Python Script to change name of a file to its timestamp

>> More Programs on OS Module

Python | Create a GUI Marksheet using Tkinter
Python | ToDo GUI Application using Tkinter
Python | GUI Calendar using Tkinter
File Explorer in Python using Tkinter
Visiting Card Scanner GUI Application using Python

>> More Programs on Python Tkinter

NumPy Exercises

How to create an empty and a full NumPy array?
Create a Numpy array filled with all zeros
Create a Numpy array filled with all ones
Replace NumPy array elements that doesn’t satisfy the given condition
Get the maximum value from given matrix

>> More Programs on NumPy

Pandas Exercises

Make a Pandas DataFrame with two-dimensional list | Python
How to iterate over rows in Pandas Dataframe
Create a pandas column using for loop
Create a Pandas Series from array
Pandas | Basic of Time Series Manipulation

>> More Programs on Python Pandas

>> More Programs on Web Scraping

Download File in Selenium Using Python
Bulk Posting on Facebook Pages using Selenium
Google Maps Selenium automation using Python
Count total number of Links In Webpage Using Selenium In Python
Extract Data From JustDial using Selenium

>> More Programs on Python Selenium

Number guessing game in Python
2048 Game in Python
Get Live Weather Desktop Notifications Using Python
8-bit game using pygame
Tic Tac Toe GUI In Python using PyGame

>> More Projects in Python

In closing, we just want to say that the practice or solving Python problems always helps to clear your core concepts and programming logic. Hence, we have designed this Python exercises after deep research so that one can easily enhance their skills and logic abilities.

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Beginner Python Exercises

Here are some enjoyable Python Exercises for you to solve! We strive to offer a huge selection of Python Exercises so you can internalize the Python Concepts through these exercises.

Among these Python Exercises you can find the most basic Python Concepts about Python Syntax and built-in functions and methods .

Holy Python is reader-supported. When you buy through links on our site, we may earn an affiliate commission.

Choose the topics you'd like to practice from our extensive exercise list.

Python Beginner Exercises consist of some 125+ exercises that can be solved by beginner coders and newcomers to the Python world.

Majority of these exercises are online and interactive which offers an easier and convenient entry point for beginners.

First batch of the exercises starts with print function as a warm up but quickly, it becomes all about data.

You can start exercising with making variable assignments and move on with the most fundamental data types in Python:

Exercise 1: print() function | (3) : Get your feet wet and have some fun with the universal first step of programming.

Exercise 2: Variables | (2) : Practice assigning data to variables with these Python exercises.

Exercise 3: Data Types | (4) : Integer (int), string (str) and float are the most basic and fundamental building blocks of data in Python.

Exercise 4: Type Conversion | (8) : Practice converting between basic data types of Python when applicable.

Exercise 5: Data Structures | (6) : Next stop is exercises of most commonly used Python Data Structures. Namely;

Dictionaries and
Strings are placed under the microscope.

Exercise 6: Lists | (14) : It’s hard to overdo Python list exercises. They are fun and very fundamental so we prepared lots of them. You will also have the opportunity to practice various Python list methods.

Exercise 7: Tuples | (8) : Python Tuples Exercises with basic applications as well as common tuples methods

Exercise 8: Dictionaries | (11) : Practice with Python Dictionaries and some common dictionary methods.

Exercise 9: Strings | (14) : Basic string operations as well as many string methods can be practiced through 10+ Python String Exercises we have prepared for you.

Next batch consist of some builtin Python functions and Python methods. The difference between function and method in Python is that functions are more like standalone blocks of codes that take arguments while methods apply directly on a class of objects.

That’s why we can talk about list methods, string methods, dictionary methods in Python but functions can be used alone as long as appropriate arguments are passed in them.

Exercise 10: len() function | (5) : Python’s len function tells the length of an object. It’s definitely a must know and very useful in endless scenarios. Whether it’s manipulating strings or counting elements in a list, len function is constantly used in computer programming.

Exercise 11: .sort() method | (7) : Practice sort method in Beginner Python Exercises and later on you’ll have the opportunity practice sorted function in Intermediate Python Exercises.

Exercise 12: .pop() method | (3) : A list method pop can be applied to Python list objects. It’s pretty straightforward but actually easy to confuse. These exercises will help you understand pop method better.

Exercise 13: input() function | (6) : Input function is a fun and useful Python function that can be used to acquire input values from the user.

Exercise 14: range() function | (5) : You might want to take a real close look at range function because it can be very useful in numerous scenarios.

These range exercises offer an opportunity to get a good practice and become proficient with the usage of Python’s range function.

Exercise 15: Error Handling | (7) : Error Handling is a must know coding skill and Python has some very explanatory Error Codes that will make a coder’s life easier if he/she knows them!

Exercise 16: Defining Functions | (9) : Practicing user defined Python functions will take your programming skills to the next step. Writing functions are super useful and fun. It makes code reusable too.

Exercise 17: Python Slicing Notation | (8) : Python’s slicing notations are very interesting but can be confusing for beginner coders. These exercises will help you master them.

Exercise 18: Python Operators | (6) : Operators are another fundamental concept. We have prepared multiple exercises so they can be confident in using Python Operators.

If you struggle with any of the exercises, you can always refer to the Beginner Python Lessons .

If you’d like to challenge yourself with the next level of Python exercises check out the Intermediate Python Exercises we have prepared for you.

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Python Lessons

Beginner lessons.

Simple builtin Python functions and fundamental concepts.

Intermediate Lessons

More builtin Python functions and slightly heavier fundamental coding concepts.

Advanced Lessons

Python concepts that let you apply coding in the real world generally implementing multiple methods.

Python Exercises

Beginner exercises.

Basic Python exercises that are simple and straightforward.

Intermediate Exercises

Slightly more complex Python exercises and more Python functions to practice.

Advanced Exercises

Project-like Python exercises to connect the dots and prepare for real world tasks.

Thank you for checking out our Python programming content. All of the Python lessons and exercises we provide are free of charge. Also, majority of the Python exercises have an online and interactive interface which can be helpful in the early stages of learning computer programming.

However, we do recommend you to have a local Python setup on your computer as soon as possible. Anaconda is a free distribution and it comes as a complete package with lots of libraries and useful software (such as Spyder IDE and Jupyter Notebook) You can check out this: simple Anaconda installation tutorial .

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Welcome to the LearnPython.org interactive Python tutorial.

Whether you are an experienced programmer or not, this website is intended for everyone who wishes to learn the Python programming language.

You are welcome to join our group on Facebook for questions, discussions and updates.

After you complete the tutorials, you can get certified at LearnX and add your certification to your LinkedIn profile.

Just click on the chapter you wish to begin from, and follow the instructions. Good luck!

Learn the Basics

Hello, World!
Variables and Types
Basic Operators
String Formatting
Basic String Operations
Classes and Objects
Dictionaries
Modules and Packages

Data Science Tutorials

Numpy Arrays
Pandas Basics

Advanced Tutorials

List Comprehensions
Lambda functions
Multiple Function Arguments
Regular Expressions
Exception Handling
Serialization
Partial functions
Code Introspection
Map, Filter, Reduce

Contributing Tutorials

Beginner's Guide to Python

Is python for you, best way to learn python, how to run python.

If you are simply looking to learn Python step-by-step, you can follow our free tutorials in the next section.

These tutorials will provide you with a solid foundation in Python and prepare you for your career goals.

How to Get Started With Python?

Your First Python Program

Python Comments

Python Variables, Constants and Literals

Python Type Conversion

Python Basic Input and Output

Python Operators

Python if...else Statement

Python for Loop

Python while Loop

Python break and continue

Python pass Statement

Python Numbers, Type Conversion and Mathematics

Python List

Python Tuple

Python Sets

Python Dictionary

Python Functions

Python Function Arguments

Python Variable Scope

Python Global Keyword

Python Recursion

Python Modules

Python Package

Python Main function

Python Directory and Files Management

Python CSV: Read and Write CSV files

Reading CSV files in Python

Writing CSV files in Python

Python Exceptions

Python Exception Handling

Python Custom Exceptions

Python Objects and Classes

Python Inheritance

Python Multiple Inheritance

Polymorphism in Python

Python Operator Overloading

List comprehension

Python Lambda/Anonymous Function

Python Iterators

Python Generators

Python Namespace and Scope

Python Closures

Python Decorators

Python @property decorator

Python RegEx

Python datetime

Python strftime()

Python strptime()

How to get current date and time in Python?

Python Get Current Time

Python timestamp to datetime and vice-versa

Python time Module

Python sleep()

Precedence and Associativity of Operators in Python

Python Keywords and Identifiers

Python Asserts

Python Json

Python *args and **kwargs

Whether Python is the right choice depends on what you want to accomplish and your career goals.

Python from Learning Perspective

If you are new to programming and prefer simplicity, Python is probably the right choice for you.

Let's see an example.

Here, both programs in C and Python perform the same task. However, the Python code is much easier to understand, even if you have never been a programmer before.

That being said, there are some advantages to learning languages like C as your first language. For example, C is much closer to the hardware and allows you to work with computer memory directly, thus providing you with a deeper understanding of how your code actually works.

On the other hand, Python's clear, English-like syntax allows you to concentrate on problem-solving and building logic without being concerned about unnecessary complexities.

So, it's up to you whether you want to quickly get started with programming or really take your time to understand the nitty-gritty parts of programming.

Python as a Career Choice

Python is a widely used programming language for creating real-world applications. It is extensively used in:

Data Science
Artificial Intelligence
Backend Development

Thus, learning Python offers significant advantages for your career opportunities.

However, there are certain fields where Python doesn't excel. For example, if you are interested in frontend development, game development, or mobile app development, then Python is not the best choice.

In these cases, alternatives such as JavaScript for frontend development, Kotlin, Swift, or Dart for mobile app development, and C++ for game development will be more suitable.

Therefore, your career choices can guide you in selecting which programming language to learn.

There is no right or wrong way to learn Python. It all depends on your learning style and pace.

In this section, we have included the best Python learning resources tailored to your learning preferences, be it text-based, video-based, or interactive courses.

Text-based Tutorial

Best: if you are committed to learning Python but do not want to spend on it

If you want to learn Python for free with a well-organized, step-by-step tutorial, you can use our free Python tutorials .

Our tutorials will guide you through Python one step at a time, using practical examples to strengthen your foundation.

Interactive Course

Best: if you want hands-on learning, get your progress tracked, and maintain a learning streak

Learning to code is tough. It requires dedication and consistency, and you need to write tons of code yourself.

While videos and tutorials provide you with a step-by-step guide, they lack hands-on experience and structure.

Recognizing all these challenges, Programiz offers a premium Learn Python Course that allows you to gain hands-on learning experience by solving challenges, building real-world projects, and tracking your progress.

Online Video

Best: if you are an audio-visual learner and learn by watching others code and following along

If you're more of a visual learner, we have created a comprehensive Python course for beginners that will guide you on your Python journey.

Additionally, there's a popular Python playlist by Corey Schafer available on YouTube to further guide you on your Python journey.

If you're looking for a structured university course at zero cost, visit Python Course - University of Helsinki.

Best: if you are a casual and hobby learner who wants to learn Python on the go.

While it's possible to learn Python from mobile apps, it's not the ideal way because writing code can be challenging. Additionally, it's difficult to build real-world projects with multiple files on mobile devices.

Nevertheless, you can use these apps to try things out.

Learn Python

Important: You cannot learn to code without developing the habit of writing code yourself. Therefore, whatever method you choose, always write code.

While writing code, you will encounter errors. Don't worry about them, try to understand them and find solutions. Remember, programming is all about solving problems, and errors are part of the process.

1. Run Python in your browser.

We have created an online editor to run Python directly in your browser. You don't have to go through a tedious installation process. It's completely free, and you can start coding directly.

2. Install Python on Your computer.

Once you start writing complex programs and creating projects, you should definitely install Python on your computer. This is especially necessary when you are working with projects that involve multiple files and folders.

To install Python on your device, you can use this guide.

Getting Started with Python

Learn how you can install and use Python on your own computer.

Say "Hello, World!" With Python Easy Max Score: 5 Success Rate: 96.25%

Python if-else easy python (basic) max score: 10 success rate: 89.71%, arithmetic operators easy python (basic) max score: 10 success rate: 97.42%, python: division easy python (basic) max score: 10 success rate: 98.68%, loops easy python (basic) max score: 10 success rate: 98.11%, write a function medium python (basic) max score: 10 success rate: 90.31%, print function easy python (basic) max score: 20 success rate: 97.27%, list comprehensions easy python (basic) max score: 10 success rate: 97.69%, find the runner-up score easy python (basic) max score: 10 success rate: 94.16%, nested lists easy python (basic) max score: 10 success rate: 91.67%, cookie support is required to access hackerrank.

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25 Python Projects for Beginners – Easy Ideas to Get Started Coding Python

The best way to learn a new programming language is to build projects with it.

I have created a list of 25 beginner friendly project tutorials in Python.

My advice for tutorials would be to watch the video, build the project, break it apart and rebuild it your own way. Experiment with adding new features or using different methods.

That will test if you have really learned the concepts or not.

You can click on any of the projects listed below to jump to that section of the article.

If you are not familiar with the basics of Python, then I would suggest watching this beginner freeCodeCamp Python tutorial .

Python Projects You Can Build

Guess the Number Game (computer)
Guess the Number Game (user)
Rock, paper, scissors
Countdown Timer
Password Generator
QR code encoder / decoder
Tic-Tac-Toe
Tic-Tac-Toe AI
Binary Search
Minesweeper
Sudoku Solver
Photo manipulation in Python
Markov Chain Text Composer
Connect Four
Online Multiplayer Game
Web Scraping Program
Bulk file renamer
Weather Program

Code a Discord Bot with Python - Host for Free in the Cloud

Space invaders game

Mad libs Python Project

In this Kylie Ying tutorial, you will learn how to get input from the user, work with f-strings, and see your results printed to the console.

This is a great starter project to get comfortable doing string concatenation in Python.

Guess the Number Game Python Project (computer)

In this Kylie Ying tutorial, you will learn how to work with Python's random module , build functions, work with while loops and conditionals, and get user input.

Guess the Number Game Python Project (user)

In this Kylie Ying tutorial, you will build a guessing game where the computer has to guess the correct number. You will work with Python's random module , build functions, work with while loops and conditionals, and get user input.

Rock, paper, scissors Python Project

In this Kylie Ying tutorial , you will work with random.choice() , if statements, and getting user input. This is a great project to help you build on the fundamentals like conditionals and functions.

Hangman Python Project

In this Kylie Ying tutorial, you will learn how to work with dictionaries, lists, and nested if statements. You will also learn how to work with the string and random Python modules.

Countdown Timer Python Project

In this Code With Tomi tutorial , you will learn how to build a countdown timer using the time Python module. This is a great beginner project to get you used to working with while loops in Python.

Password Generator Python Project

In this Code With Tomi tutorial , you will learn how to build a random password generator. You will collect data from the user on the number of passwords and their lengths and output a collection of passwords with random characters.

This project will give you more practice working with for loops and the random Python module.

QR code encoder / decoder Python Project

In this Code With Tomi tutorial , you will learn how to create your own QR codes and encode/decode information from them. This project uses the qrcode library.

This is a great project for beginners to get comfortable working with and installing different Python modules.

Tic-Tac-Toe Python Project

In this Kylie Ying tutorial, you will learn how to build a tic-tac-toe game with various players in the command line. You will learn how to work with Python's time and math modules as well as get continual practice with nested if statements.

Tic-Tac-Toe AI Python Project

In this Kylie Ying tutorial, you will learn how to build a tic-tac-toe game where the computer never loses. This project utilizes the minimax algorithm which is a recursive algorithm used for decision making.

Binary Search Python Project

In this Kylie Ying tutorial, you will learn how to implement the divide and conquer algorithm called binary search. This is a common searching algorithm which comes up in job interviews, which is why it is important to know how to implement it in code.

Minesweeper Python Project

In this Kylie Ying tutorial, you will build the classic minesweeper game in the command line. This project focuses on recursion and classes.

Sudoku Solver Python Project

In this Kylie Ying tutorial, you will learn how to build a sudoku solver which utilizes the backtracking technique. Backtracking is a recursive technique that searches for every possible combination to help solve the problem.

Photo Manipulation in Python Project

In this Kylie Ying tutorial, you will learn how to create an image filter and change the contrast, brightness, and blur of images. Before starting the project, you will need to download the starter files .

Markov Chain Text Composer Python Project

In this Kylie Ying tutorial, you will learn about the Markov chain graph model and how it can be applied the relationship of song lyrics. This project is a great introduction into artificial intelligence in Python.

Pong Python Project

In this Christian Thompson tutorial , you will learn how to recreate the classic pong game in Python. You will be working with the os and turtle Python modules which are great for creating graphics for games.

Snake Python Project

In this Tech with Tim tutorial, you will learn how to recreate the classic snake game in Python. This project uses Object-oriented programming and Pygame which is a popular Python module for creating games.

Connect Four Python Project

In this Keith Galli tutorial, you will learn how to build the classic connect four game. This project utilizes the numpy , math , pygame and sys Python modules.

This project is great if you have already built some smaller beginner Python projects. But if you haven't built any Python projects, then I would highly suggest starting with one of the earlier projects on the list and working your way up to this one.

Tetris Python Project

In this Tech with Tim tutorial, you will learn how to recreate the classic Tetris game. This project utilizes Pygame and is great for beginner developers to take their skills to the next level.

Online Multiplayer Game Python Project

In this Tech with Tim tutorial, you will learn how to build an online multiplayer game where you can play with anyone around the world. This project is a great introduction to working with sockets, networking, and Pygame.

Web Scraping Program Python Project

In this Code With Tomi tutorial , you will learn how to ask for user input for a GitHub user link and output the profile image link through web scraping. Web scraping is a technique that collects data from a web page.

Bulk File Re-namer Python Project

In this Code With Tomi tutorial , you will learn how to build a program that can go into any folder on your computer and rename all of the files based on the conditions set in your Python code.

Weather Program Python Project

In this Code With Tomi tutorial , you will learn how to build a program that collects user data on a specific location and outputs the weather details of that provided location. This is a great project to start learning how to get data from API's.

In this Beau Carnes tutorial , you will learn how to build your own bot that works in Discord which is a platform where people can come together and chat online. This project will teach you how to work with the Discord API and Replit IDE.

After this video was released, Replit changed how you can store your environments variables in your program. Please read through this tutorial on how to properly store environment variables in Replit.

Space Invaders Game Python Project

In this buildwithpython tutorial , you will learn how to build a space invaders game using Pygame. You will learn a lot of basics in game development like game loops, collision detection, key press events, and more.

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Python Tutorial

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Python is a popular programming language.

Python can be used on a server to create web applications.

Learning by Examples

With our "Try it Yourself" editor, you can edit Python code and view the result.

Click on the "Try it Yourself" button to see how it works.

Python File Handling

In our File Handling section you will learn how to open, read, write, and delete files.

Python Database Handling

In our database section you will learn how to access and work with MySQL and MongoDB databases:

Python MySQL Tutorial

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Test yourself with exercises.

Insert the missing part of the code below to output "Hello World".

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Best Python Homework Help Websites (Reviewed by Experts)

Many teens are fond of technology in all its manifestation. As they grow up, their interest becomes rather professional, and many of them decide to become certified coders to create all those games, software, apps, websites, and so on. This is a very prospective area, which will always be in high demand. Yet, the path to the desired diploma is pretty complicated. Not all assignments can be handled properly. As a result, many learners look for professional help on the Internet.

Smart minds are aware of custom programming platforms that help with all kinds of programming languages. It’s hard to define which one is better than the others because all legal and highly reputed platforms offer pretty much the same guarantees and conveniences of high quality. This is when our comprehensive review will be helpful for students. We have checked the best Python homework help websites. We have opted for Python because of 2 reasons. Firstly, this is one of the most popular and widely used coding languages. You will surely have to master it. Secondly, only one language helps to narrow down your choice. So, read on to find out the possible options that really work.

6 Top Python Assignment Help Websites to Solve All Your Issues

It is good to have a rich choice of coding options. But, the abundance of choices can also be overwhelming. Here are some top recommendations to make the choice easier:

These are the top Python assignment help websites, according to the research of our quality control experts. Let’s look at each of them individually, focusing on a unique benefit offered by each site. This data may help you to define the type of aid you need – high quality, top speed, cheap prices, and so on.

Python Programming Homework Help – How to Choose the Right Site?

When it comes to choosing a custom coding site, you may be puzzled for a long time. There are many great options, and each seems to offer flawless Python programming assignment help. How to define the best platform in the niche? Well, the first step is to create a wish list. It should include the features you expect to get from a pro platform.

Secondly, use the comparison method. You need to shortlist all the options and check what exactly each of them offers. While one offers cheaper prices, another one is faster. So, the choice should be based on your priorities. We have already created a list of the most beneficial sites for you. The last task is to compare them after you read more detailed descriptions.

We’ve shortlisted the most beneficial sites for you. What you’ll be left with is to compare them and pick the one that suits your needs best.

1. CodingHomeworkHelp.org: A Top-Rated Solution for Python Homework

This is when our comprehensive review will be helpful for students. We have checked the best Python homework help websites. We have opted for Python because of 2 reasons.

Our first option is called CodingHomeworkHelp , and it has the highest average rating, according to our experts. They’ve given it 9.8 out of 10 possible, which is surely a great achievement. The combination of conditions and guarantees makes it nearly ideal for students needing Python homework help. Let’s take a look at its main features:

Outstanding quality. This custom coding agency is famous for the quality of its aid, which is always as high as the client desires. It employs only certified and skilled solvers who can meet the demands of the strictest educators and employers (if you already work).
Timely aid . This platform has delivered almost 97% of all its orders on time. This indicator proves that you may not worry about your time limits. Its specialists are fast enough to meet the shortest timeframes.
Unique projects . Its experts do all the orders from scratch. It means they never reuse even their own projects. They take into account the slightest details and make every project unique. Your code will surely differ from others, and it will be free of any signs of plagiarism. Don’t worry about this matter.
Quite cheap prices . You will be pleasantly impressed by the price policy offered by this coding agency. It is quite cheap and fair. Ordinary students will be able to afford its professional aid. Moreover, they can count on great discounts and promos to save up even more of their funds.
Effective customer support . This site offers a very welcoming and fast team of customer support, which consists of great consultants. They are always at work and provide clear answers to the questions related to the policies of this agency. The answers come in a couple of minutes or so.

2. DoMyAssignments.com: Affordable Python Assignment Assistance

The second site we’d like to recommend is DoMyAssignments , boasting a strong rating of 9.7 out of 10 stars. This impressive score reflects the site’s commitment to excellence, and you can be confident that it can satisfy all your coding needs to the fullest. With a team of real professionals, each selected through a special onboarding process that consists of several stages, only the most gifted specialists make the cut.

How can they assist with your Python assignment? They offer individualized solutions at the cheapest prices among our reviewed sites. You can even modify the order to fit your budget, considering factors like quality, type, size, and urgency.

Besides, the site ensures other vital benefits. Make allowances for them here below:

Quick assistance : The experts at DoMyAssignments are known for their speed and diligence. An impressive 96% of all their orders were delivered without delays, and 79% were completed long before the deadline . These achievements demonstrate their commitment to timely delivery, even for the most urgent tasks.
Full privacy : Security is a priority at DoMyAssignments. They ensure the confidentiality of your private data and never share it with third parties. With effective antivirus software and encrypted billing methods, you can trust that you’re 100% safe when using their platform.
24/7 support : Need help at any hour? DoMyAssignments runs 24/7, providing immediate access to competent technicians via live chat. Whether you have urgent questions about their policies or need clarification on specific details, you can expect fast and clear answers.
Individual approach : Personalized service is a standout feature of DoMyAssignments. You can contact your helper at predetermined hours to discuss your project’s progress. This direct communication allows for real-time updates and changes, offering a convenient way to ensure that your project aligns perfectly with your requirements.

You should also know that it practices an individual approach. You are welcome to contact your helper during the predetermined hours. Just discuss with him or her when both of you can be online and check the progress of your project. It’s a fast and convenient way to offer changes on demand and without delays.

3. AssignCode.com: Fast and Reliable Python Homework Help

If speed is your priority, AssignCode is an excellent choice. How fast can you do my Python homework? Well, a lot depends on the demands you have. Nonetheless, most projects are completed there in 4–5 hours only!

Thus, you can place an order even later at night to get it done early in the morning. Just be sure you set manageable conditions. If it’s so, your order will be accepted and completed according to your demands. It will be delivered on time. As for other vital guarantees, you may count on:

Great quality. This company has a professional staff, which consists of outstanding programmers. They all have confirmed their qualifications and were trained to match the top demands of every high school, college, or university. They can help even already working coders who face some issues at the moment.
Fair prices. You will surely like the prices set by this coding company. They are quite cheap, and ordinary students will not face problems with ordering professional help on this site. There is a possibility to quickly regulate the prices online. You only need to change the quality, type, volume, or deadline of your assignment. A refund guarantee is given as well.
All kinds of features . This platform is able to satisfy the slightest demands of the strictest customers. Everything will be done exactly as you want, and can contact your helper directly. He or she will offer all the necessary skills to complete your project perfectly. The platform’s specialists handle all assignment types. Python is only one of the possible areas of their competence.
A responsive customer support team. In case you don’t understand some policies or limits of this company, turn to its team of support. It consists of polite and knowledgeable operators. They work day and night to provide detailed responses in about 2 minutes or so.

Also read: The 10 Commandments of Coding: Study, Learn and Put into Practice

4. CWAssignments.com: Unique and Customized Python Assistance

Many students cannot create unique projects in coding, and that is why they may require the unique Python assignment help of CWAssignments . Its rating is 9.4 out of 10, which is a sign of a top-class coding site.

It does all the projects anew and never uses the projects of other coders. Its experts don’t reuse even their old assignments. The new conditions are taken into account and fulfilled uniquely. It also offers other vital benefits. These are as follows:

Reasonable pricing . You will not spend too much if you request assistance there. The site sets relatively cheap prices and offers full customization of the orders. This puts you in full charge of the total cost. Fill out the compulsory fields and change them to see how you can impact the cost to stop when it suits your budget.
Top quality. The agency hires only educated and talented coders. They surely understand how to handle any assignment in computer science, engineering, and math. They stick to the official requirements of all educational institutions and can satisfy even the most scrupulous educators. Thus, your chance to get an A+ grade sufficiently increases.
A personified approach. You may get in touch with your solver whenever his or her aid may be required. Just set a reasonable schedule when both of you can be online to discuss the peculiarities of your order. The specialists will provide updated reports to let you know where your project stands.
Total online confidentiality . This is a reliable and respectful coding platform that always protects the private data of its clients. It never shares any facts about them with anyone else. It utilizes effective software that protects its databases from all types of online dangers. Thanks to the billing methods offered by the site, you may not worry about your transactions within it. They are encrypted and hidden from other users.

5. HelpHomework.net: Personalized Approach to Python Coding

Many learners seek personalized attention for their coding projects. If you need a tailored approach to Python homework help, HelpHomework is the place to go. It offers flexible scheduling for real-time collaboration with your solver.

Simply coordinate a schedule to be online with your solver, using your preferred instant messenger for quick updates. Along with this personalized approach, the platform also provides other key guarantees, including:

Outstanding Quality: This platform hires only certified coders who pass a rigorous selection process. They’re trained to handle any assignments in computer science, engineering, and math, ensuring precise completion to boost your success.
Plagiarism-Free Projects: The platform ensures uniqueness in every project. Though coding may seem repetitive, the specialists craft each project from scratch, meeting educators’ expectations for originality.
24/7 Support and Supervision: Visit this site anytime, day or night. It operates around the clock, with kind operators ready to provide swift, detailed responses in live chat.
Reasonable Prices: Offering affordable rates to fit students’ budgets, the company allows you to customize your order’s price by adjusting the project’s quality, size, type, and deadline.

6. CodingAssignments.com: A Wide Range of Python Experts at Your Service

A rich choice of specialists is significant to all. If you want to be sure that you will always find the kind of help with Python assignments or other programming languages, you should opt for CodingAssignments .

This highly reputed coding company boasts over 700 specialists. Thus, you will never be deprived of some privileges. You will find perfect solvers for whatever coding project you must do. The company likewise provides the next benefits:

On-time deliveries. The experts of the company value the precious time of their customers. They polish all the necessary skills and master the most effective time management methods to meet really short deadlines. Just provide manageable terms. If the assignment is too large and urgent, place it as early as you can. The specialists will check the odds and will surely accept it if it can be completed within the stated period of time.
Fair pricing . You can count on relatively cheap prices when you deal with this programming site. Thus, common students will be able to afford its aid. Besides, you can count on pleasant promo codes and discounts to save up even more of your funds. Thanks to the refund guarantee, all your investments are secured.
Full online anonymity. Don’t worry about your online safety when you visit this site. It guards its databases and your private information with reliable antivirus software. The site never reveals any details about its customers to anybody else.
Hourly supervision . This coding platform operates 24 hours round the clock to let its customers place urgent orders even late at night. Find the chat window and specify the problem you’re facing. There are always operators at work. They provide detailed answers in a couple of minutes or faster.

Also check: Python Course for Beginners Online FREE

FAQs About The Best Python Homework Help Websites

Let’s answer some of the commonly asked questions around our topic of discussion today.

Can I pay someone to do my Python assignment?

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Python For Beginners

Welcome! Are you completely new to programming ? If not then we presume you will be looking for information about why and how to get started with Python. Fortunately an experienced programmer in any programming language (whatever it may be) can pick up Python very quickly. It's also easy for beginners to use and learn, so jump in !

Installing Python is generally easy, and nowadays many Linux and UNIX distributions include a recent Python. Even some Windows computers (notably those from HP) now come with Python already installed. If you do need to install Python and aren't confident about the task you can find a few notes on the BeginnersGuide/Download wiki page, but installation is unremarkable on most platforms.

Before getting started, you may want to find out which IDEs and text editors are tailored to make Python editing easy, browse the list of introductory books , or look at code samples that you might find helpful.

There is a list of tutorials suitable for experienced programmers on the BeginnersGuide/Tutorials page. There is also a list of resources in other languages which might be useful if English is not your first language.

The online documentation is your first port of call for definitive information. There is a fairly brief tutorial that gives you basic information about the language and gets you started. You can follow this by looking at the library reference for a full description of Python's many libraries and the language reference for a complete (though somewhat dry) explanation of Python's syntax. If you are looking for common Python recipes and patterns, you can browse the ActiveState Python Cookbook

Looking for Something Specific?

If you want to know whether a particular application, or a library with particular functionality, is available in Python there are a number of possible sources of information. The Python web site provides a Python Package Index (also known as the Cheese Shop , a reference to the Monty Python script of that name). There is also a search page for a number of sources of Python-related information. Failing that, just Google for a phrase including the word ''python'' and you may well get the result you need. If all else fails, ask on the python newsgroup and there's a good chance someone will put you on the right track.

Frequently Asked Questions

If you have a question, it's a good idea to try the FAQ , which answers the most commonly asked questions about Python.

Looking to Help?

If you want to help to develop Python, take a look at the developer area for further information. Please note that you don't have to be an expert programmer to help. The documentation is just as important as the compiler, and still needs plenty of work!

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101 NumPy Exercises for Data Analysis (Python)

February 26, 2018
Selva Prabhakaran

The goal of the numpy exercises is to serve as a reference as well as to get you to apply numpy beyond the basics. The questions are of 4 levels of difficulties with L1 being the easiest to L4 being the hardest.

If you want a quick refresher on numpy, the following tutorial is best: Numpy Tutorial Part 1: Introduction Numpy Tutorial Part 2: Advanced numpy tutorials .

Related Post: 101 Practice exercises with pandas .

1. Import numpy as np and see the version

Difficulty Level: L1

Q. Import numpy as np and print the version number.

You must import numpy as np for the rest of the codes in this exercise to work.

To install numpy its recommended to use the installation provided by anaconda.

2. How to create a 1D array?

Q. Create a 1D array of numbers from 0 to 9

Desired output:

3. How to create a boolean array?

Q. Create a 3×3 numpy array of all True’s

4. How to extract items that satisfy a given condition from 1D array?

Q. Extract all odd numbers from arr

5. How to replace items that satisfy a condition with another value in numpy array?

Q. Replace all odd numbers in arr with -1

Desired Output:

6. How to replace items that satisfy a condition without affecting the original array?

Difficulty Level: L2

Q. Replace all odd numbers in arr with -1 without changing arr

7. How to reshape an array?

Q. Convert a 1D array to a 2D array with 2 rows

8. How to stack two arrays vertically?

Q. Stack arrays a and b vertically

9. How to stack two arrays horizontally?

Q. Stack the arrays a and b horizontally.

10. How to generate custom sequences in numpy without hardcoding?

Q. Create the following pattern without hardcoding. Use only numpy functions and the below input array a .

11. How to get the common items between two python numpy arrays?

Q. Get the common items between a and b

12. How to remove from one array those items that exist in another?

Q. From array a remove all items present in array b

13. How to get the positions where elements of two arrays match?

Q. Get the positions where elements of a and b match

14. How to extract all numbers between a given range from a numpy array?

Q. Get all items between 5 and 10 from a .

15. How to make a python function that handles scalars to work on numpy arrays?

Q. Convert the function maxx that works on two scalars, to work on two arrays.

16. How to swap two columns in a 2d numpy array?

Q. Swap columns 1 and 2 in the array arr .

17. How to swap two rows in a 2d numpy array?

Q. Swap rows 1 and 2 in the array arr :

18. How to reverse the rows of a 2D array?

Q. Reverse the rows of a 2D array arr .

19. How to reverse the columns of a 2D array?

Q. Reverse the columns of a 2D array arr .

20. How to create a 2D array containing random floats between 5 and 10?

Q. Create a 2D array of shape 5x3 to contain random decimal numbers between 5 and 10.

21. How to print only 3 decimal places in python numpy array?

Q. Print or show only 3 decimal places of the numpy array rand_arr .

22. How to pretty print a numpy array by suppressing the scientific notation (like 1e10)?

Q. Pretty print rand_arr by suppressing the scientific notation (like 1e10)

23. How to limit the number of items printed in output of numpy array?

Q. Limit the number of items printed in python numpy array a to a maximum of 6 elements.

24. How to print the full numpy array without truncating

Q. Print the full numpy array a without truncating.

25. How to import a dataset with numbers and texts keeping the text intact in python numpy?

Q. Import the iris dataset keeping the text intact.

Since we want to retain the species, a text field, I have set the dtype to object . Had I set dtype=None , a 1d array of tuples would have been returned.

26. How to extract a particular column from 1D array of tuples?

Q. Extract the text column species from the 1D iris imported in previous question.

27. How to convert a 1d array of tuples to a 2d numpy array?

Q. Convert the 1D iris to 2D array iris_2d by omitting the species text field.

28. How to compute the mean, median, standard deviation of a numpy array?

Difficulty: L1

Q. Find the mean, median, standard deviation of iris's sepallength (1st column)

29. How to normalize an array so the values range exactly between 0 and 1?

Difficulty: L2

Q. Create a normalized form of iris 's sepallength whose values range exactly between 0 and 1 so that the minimum has value 0 and maximum has value 1.

30. How to compute the softmax score?

Difficulty Level: L3

Q. Compute the softmax score of sepallength .

31. How to find the percentile scores of a numpy array?

Q. Find the 5th and 95th percentile of iris's sepallength

32. How to insert values at random positions in an array?

Q. Insert np.nan values at 20 random positions in iris_2d dataset

33. How to find the position of missing values in numpy array?

Q. Find the number and position of missing values in iris_2d 's sepallength (1st column)

34. How to filter a numpy array based on two or more conditions?

Q. Filter the rows of iris_2d that has petallength (3rd column) > 1.5 and sepallength (1st column) < 5.0

35. How to drop rows that contain a missing value from a numpy array?

Difficulty Level: L3:

Q. Select the rows of iris_2d that does not have any nan value.

36. How to find the correlation between two columns of a numpy array?

Q. Find the correlation between SepalLength(1st column) and PetalLength(3rd column) in iris_2d

37. How to find if a given array has any null values?

Q. Find out if iris_2d has any missing values.

38. How to replace all missing values with 0 in a numpy array?

Q. Replace all ccurrences of nan with 0 in numpy array

39. How to find the count of unique values in a numpy array?

Q. Find the unique values and the count of unique values in iris's species

40. How to convert a numeric to a categorical (text) array?

Q. Bin the petal length (3rd) column of iris_2d to form a text array, such that if petal length is:

Less than 3 --> 'small'
3-5 --> 'medium'
'>=5 --> 'large'

41. How to create a new column from existing columns of a numpy array?

Q. Create a new column for volume in iris_2d, where volume is (pi x petallength x sepal_length^2)/3

42. How to do probabilistic sampling in numpy?

Q. Randomly sample iris 's species such that setose is twice the number of versicolor and virginica

Approach 2 is preferred because it creates an index variable that can be used to sample 2d tabular data.

43. How to get the second largest value of an array when grouped by another array?

Q. What is the value of second longest petallength of species setosa

44. How to sort a 2D array by a column

Q. Sort the iris dataset based on sepallength column.

45. How to find the most frequent value in a numpy array?

Q. Find the most frequent value of petal length (3rd column) in iris dataset.

46. How to find the position of the first occurrence of a value greater than a given value?

Q. Find the position of the first occurrence of a value greater than 1.0 in petalwidth 4th column of iris dataset.

47. How to replace all values greater than a given value to a given cutoff?

Q. From the array a , replace all values greater than 30 to 30 and less than 10 to 10.

48. How to get the positions of top n values from a numpy array?

Q. Get the positions of top 5 maximum values in a given array a .

49. How to compute the row wise counts of all possible values in an array?

Difficulty Level: L4

Q. Compute the counts of unique values row-wise.

Output contains 10 columns representing numbers from 1 to 10. The values are the counts of the numbers in the respective rows. For example, Cell(0,2) has the value 2, which means, the number 3 occurs exactly 2 times in the 1st row.

50. How to convert an array of arrays into a flat 1d array?

Difficulty Level: 2

Q. Convert array_of_arrays into a flat linear 1d array.

51. How to generate one-hot encodings for an array in numpy?

Difficulty Level L4

Q. Compute the one-hot encodings (dummy binary variables for each unique value in the array)

52. How to create row numbers grouped by a categorical variable?

Q. Create row numbers grouped by a categorical variable. Use the following sample from iris species as input.

53. How to create groud ids based on a given categorical variable?

Q. Create group ids based on a given categorical variable. Use the following sample from iris species as input.

54. How to rank items in an array using numpy?

Q. Create the ranks for the given numeric array a .

55. How to rank items in a multidimensional array using numpy?

Q. Create a rank array of the same shape as a given numeric array a .

56. How to find the maximum value in each row of a numpy array 2d?

DifficultyLevel: L2

Q. Compute the maximum for each row in the given array.

57. How to compute the min-by-max for each row for a numpy array 2d?

DifficultyLevel: L3

Q. Compute the min-by-max for each row for given 2d numpy array.

58. How to find the duplicate records in a numpy array?

Q. Find the duplicate entries (2nd occurrence onwards) in the given numpy array and mark them as True . First time occurrences should be False .

59. How to find the grouped mean in numpy?

Difficulty Level L3

Q. Find the mean of a numeric column grouped by a categorical column in a 2D numpy array

Desired Solution:

60. How to convert a PIL image to numpy array?

Q. Import the image from the following URL and convert it to a numpy array.

URL = 'https://upload.wikimedia.org/wikipedia/commons/8/8b/Denali_Mt_McKinley.jpg'

61. How to drop all missing values from a numpy array?

Q. Drop all nan values from a 1D numpy array

np.array([1,2,3,np.nan,5,6,7,np.nan])

62. How to compute the euclidean distance between two arrays?

Q. Compute the euclidean distance between two arrays a and b .

63. How to find all the local maxima (or peaks) in a 1d array?

Q. Find all the peaks in a 1D numpy array a . Peaks are points surrounded by smaller values on both sides.

a = np.array([1, 3, 7, 1, 2, 6, 0, 1])

where, 2 and 5 are the positions of peak values 7 and 6.

64. How to subtract a 1d array from a 2d array, where each item of 1d array subtracts from respective row?

Q. Subtract the 1d array b_1d from the 2d array a_2d , such that each item of b_1d subtracts from respective row of a_2d .

65. How to find the index of n'th repetition of an item in an array

Difficulty Level L2

Q. Find the index of 5th repetition of number 1 in x .

66. How to convert numpy's datetime64 object to datetime's datetime object?

Q. Convert numpy's datetime64 object to datetime's datetime object

67. How to compute the moving average of a numpy array?

Q. Compute the moving average of window size 3, for the given 1D array.

68. How to create a numpy array sequence given only the starting point, length and the step?

Q. Create a numpy array of length 10, starting from 5 and has a step of 3 between consecutive numbers

69. How to fill in missing dates in an irregular series of numpy dates?

Q. Given an array of a non-continuous sequence of dates. Make it a continuous sequence of dates, by filling in the missing dates.

70. How to create strides from a given 1D array?

Q. From the given 1d array arr , generate a 2d matrix using strides, with a window length of 4 and strides of 2, like [[0,1,2,3], [2,3,4,5], [4,5,6,7]..]

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Home » Python Basics

Python Basics

In this section, you’ll learn basic Python. If you’re completely new to Python programming, this Python basics section is perfect for you.

After completing the tutorials, you’ll be confident in Python programming and be able to create simple programs in Python.

Section 1. Fundamentals

Syntax – introduce you to the basic Python programming syntax.
Variables – explain to you what variables are and how to create concise and meaningful variables.
Strings – learn about string data and some basic string operations.
Numbers – introduce to you the commonly-used number types including integers and floating-point numbers.
Booleans – explain the Boolean data type, falsy and truthy values in Python.
Constants – show you how to define constants in Python.
Comments – learn how to make notes in your code.
Type conversion – learn how to convert a value of one type to another e.g., converting a string to a number.

Section 2. Operators

Comparison operators – introduce you to the comparison operators and how to use them to compare two values.
Logical operators – show you how to use logical operators to combine multiple conditions.

Section 3. Control flow

if…else statement – learn how to execute a code block based on a condition.
Ternary operator – introduce you to the Python ternary operator that makes your code more concise.
for loop with range() – show you how to execute a code block for a fixed number of times by using the for loop with range() function.
while – show you how to execute a code block as long as a condition is True.
break – learn how to exit a loop prematurely.
continue – show you how to skip the current loop iteration and start the next one.
pass – show you how to use the pass statement as a placeholder.

Section 4. Functions

Python functions – introduce you to functions in Python, and how to define functions, and reuse them in the program.
Default parameters – show you how to specify the default values for function parameters.
Keyword arguments – learn how to use the keyword arguments to make the function call more obvious.
Recursive functions – learn how to define recursive functions in Python.
Lambda Expressions – show you how to define anonymous functions in Python using lambda expressions.
Docstrings – show you how to use docstrings to document a function.

Section 5. Lists

List – introduce you to the list type and how to manipulate list elements effectively.
Tuple – introduce you to the tuple which is a list that doesn’t change throughout the program.
Sort a list in place – show you how to use the sort() method to sort a list in place.
Sort a List – learn how to use the sorted() function to return a new sorted list from the original list.
Slice a List – show you how to use the list slicing technique to manipulate lists effectively.
Unpack a list – show you how to assign list elements to multiple variables using list unpacking.
Iterate over a List – learn how to use a for loop to iterate over a list.
Find the index of an element – show you how to find the index of the first occurrence of an element in a list.
Iterables – explain to you iterables, and the difference between an iterable and an iterator.
Transform list elements with map() – show you how to use the map() function to transform list elements.
Filter list elements with filter() – use the filter() function to filter list elements.
Reduce list elements into a value with reduce() – use the reduce() function to reduce list elements into a single value.
List comprehensions – show you how to create a new list based on an existing list.

Section 6. Dictionaries

Dictionary – introduce you to the dictionary type.
Dictionary comprehension – show you how to use dictionary comprehension to create a new dictionary from an existing one.

Section 7. Sets

Set – explain to you the Set type and show you how to manipulate set elements effectively.
Set comprehension – explain to you the set comprehension so that you can create a new set based on an existing set with a more concise and elegant syntax.
Union of Sets – show you how to union two or more sets using the union() method or set union operator ( | ).
Intersection of Sets – show you how to intersect two or more sets using the intersection() method or set intersection operator ( & ).
Difference of sets – learn how to find the difference between sets using the set difference() method or set difference operator ( - )
Symmetric Difference of sets – guide you on how to find the symmetric difference of sets using the symmetric_difference() method or the symmetric difference operator ( ^ ).
Subset – check if a set is a subset of another set.
Superset – check if a set is a superset of another set.
Disjoint sets – check if two sets are disjoint.

Section 8. Exception handling

try…except – show you how to handle exceptions more gracefully using the try…except statement.
try…except…finally – learn how to execute a code block whether an exception occurs or not.
try…except…else – explain to you how to use the try…except…else statement to control the follow of the program in case of exceptions.

Section 9. More on Python Loops

for…else – explain to you the for else statement.
while…else – discuss the while else statement.
do…while loop emulation – show you how to emulate the do…while loop in Python by using the while loop statement.

Section 10. More on Python functions

Unpacking tuples – show you how to unpack a tuple that assigns individual elements of a tuple to multiple variables.
*args Parameters – learn how to pass a variable number of arguments to a function.
**kwargs Parameters – show you how to pass a variable number of keyword arguments to a function.
Partial functions – learn how to define partial functions.
Type hints – show you how to add type hints to the parameters of a function and how to use the static type checker (mypy) to check the type statically.

Section 11. Modules & Packages

Modules – introduce you to the Python modules and show you how to write your own modules.
Module search path – explain to you how the Python module search path works when you import a module.
__name__ variable – show you how to use the __name__ variable to control the execution of a Python file as a script or as a module.
Packages – learn how to use packages to organize modules in more structured ways.

Section 12. Working with files

Read from a text file – learn how to read from a text file.
Write to a text file – show you how to write to a text file.
Create a new text file – walk you through the steps of creating a new text file.
Check if a file exists – show you how to check if a file exists.
Read CSV files – show you how to read data from a CSV file using the csv module.
Write CSV files – learn how to write data to a CSV file using the csv module.
Rename a file – guide you on how to rename a file.
Delete a file – show you how to delete a file.

Section 13. Working Directories

Working with directories – show you commonly used functions to work with directories.
List files in a Directory – list files in a directory.

Section 14. Third-party Packages, PIP, and Virtual Environments

Python Package Index (PyPI) and pip – introduce you to the Python package index and how to install third-party packages using pip.
Virtual Environments – understand Python virtual environments and more importantly, why you need them.
Install pipenv on Windows – show you how to install the pipenv tool on Windows.

Section 15. Strings

F-strings – learn how to use the f-strings to format text strings in a clear syntax.
Raw strings – use raw strings to handle strings that contain the backslashes.
Backslash – explain how Python uses the backslashes ( \ ) in string literals.

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Learning. Before getting started, you may want to find out which IDEs and text editors are tailored to make Python editing easy, browse the list of introductory books, or look at code samples that you might find helpful.. There is a list of tutorials suitable for experienced programmers on the BeginnersGuide/Tutorials page. There is also a list of resources in other languages which might be ...
101 NumPy Exercises for Data Analysis (Python)
101 Practice exercises with pandas. 1. Import numpy as np and see the version. Difficulty Level: L1. Q. Import numpy as np and print the version number. 2. How to create a 1D array? Difficulty Level: L1. Q. Create a 1D array of numbers from 0 to 9.
7 Best Platforms to Practice Python
Python is a beginner-friendly programming language to learn. You can learn Python's syntax and other fundamentals in a few hours and start writing simple programs. But if you're preparing for interviews—for any role in software engineering or data science—and would like to use Python, you need to know way beyond the basics. ...
Python Basics
Section 3. Control flow. if…else statement - learn how to execute a code block based on a condition.; Ternary operator - introduce you to the Python ternary operator that makes your code more concise.; for loop with range() - show you how to execute a code block for a fixed number of times by using the for loop with range() function. while- show you how to execute a code block as ...
python
Hello everyone! I am new to python and am working on some homework and have a question about a problem I'm working: "Define a function consolidate_change that takes as arguments counts of different US coins (similar to the previous function) and prints out the simplest number of bills and coins needed to make that amount. ...

Practice Python

Beginner Python exercises

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10 Python Practice Exercises for Beginners with Solutions

Exercise 1: User Input and Conditional Statements

Exercise 2: Lowercase and Uppercase Characters

Exercise 3: Building Triangles

Exercise 4: Call a Function From Another Function

Exercise 5: Looping and Conditional Statements

Exercise 6: Nested Loops and Conditional Statements

Exercise 7: Lists and Tuples

Exercise 8: Dictionaries

Exercise 9: More Dictionaries

Exercise 10: String Encryption

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