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This repository contains a collection of Python exercises that I have accumulated over the months of studying this leanguage. These exercises cover various topics in the Python programming language and range in difficulty from beginner to intermediate level.
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ReadMe.md
This repository contains houndreds of exercises from all the notes that I acumulated over the first months of studying vanilla python.
Each cell contains some data and exercise with expected result far on the right.
Those exercises worked on Python version 3.9
Each exercises can be done diffrently.\
I have much more of these in NotConvertedExercises folder, but convering it to nice jupyter notebook style was time consuming so i stopped.
About
This repository contains a collection of Python exercises that I have accumulated over the months of studying this leanguage. These exercises cover various topics in the Python programming language and range in difficulty from beginner to intermediate level.
Python Exercises, Practice, Solution
Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java.
Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library
The best way we learn anything is by practice and exercise questions. We have started this section for those (beginner to intermediate) who are familiar with Python.
Hope, these exercises help you to improve your Python coding skills. Currently, following sections are available, we are working hard to add more exercises . Happy Coding!
You may read our Python tutorial before solving the following exercises.
List of Python Exercises :
- Python Basic (Part -I) [ 150 Exercises with Solution ]
- Python Basic (Part -II) [ 150 Exercises with Solution ]
- Python Programming Puzzles [ 100 Exercises with Solution ]
- Python Unit test [ 10 Exercises with Solution ]
- Python Exception Handling [ 10 exercises with solution ]
- Python Object-Oriented Programming [ 11 Exercises with Solution ]
- Python built-in Modules [ 31 Exercises with Solution ]
- Python Data Types — String [ 113 Exercises with Solution ]
- Python JSON [ 9 Exercises with Solution ]
- Python Data Types — List [ 281 Exercises with Solution ]
- Python Data Types — List Advanced [ 15 Exercises with Solution ]
- Python Data Types — Dictionary [ 80 Exercises with Solution ]
- Python Data Types — Tuple [ 33 Exercises with Solution ]
- Python Data Types — Sets [ 30 Exercises with Solution ]
- Python Decorator [ 12 Exercises with Solution ]
- Python Data Types — Collections [ 36 Exercises with Solution ]
- Python Generators Yield [ 17 exercises with solution ]
- Python heap queue algorithm [ 29 exercises with solution ]
- Python Array [ 24 Exercises with Solution ]
- Python Enum [ 5 Exercises with Solution ]
- Python Bisect [ 9 Exercises with Solution ]
- Python Conditional statements and loops [ 44 Exercises with Solution]
- Python functions [ 21 Exercises with Solution ]
- Python Multi-threading and Concurrency [ 7 exercises with solution ]
- Python Lambda [ 52 Exercises with Solution ]
- Python Map [ 17 Exercises with Solution ]
- Python Operating System Services [ 18 Exercises with Solution ]
- Python Date Time [ 63 Exercises with Solution ]
- Python Class [ 28 Exercises with Solution ]
- Search and Sorting [ 39 Exercises with Solution ]
- Linked List [ 14 Exercises with Solution ]
- Binary Search Tree [ 6 Exercises with Solution ]
- Recursion [ 11 Exercises with Solution ]
- Python Math [ 94 Exercises with Solution ]
- Python File Input Output [ 21 Exercises with Solution ]
- Python Regular Expression [ 58 Exercises with Solution ]
- Python SQLite Database [ 13 Exercises with Solution ]
- Python CSV File Reading and Writing [ 11 exercises with solution ]
- Python Itertools [ 44 exercises with solution ]
- Python Requests [ 9 exercises with solution ]
- Python — PPrint [ 6 Exercises with Solution ]
- Python — Cyber Security [ 10 Exercises with Solution ]
- More to Come !
Python GUI tkinter
Python NumPy :
- Python NumPy Home
- Python NumPy Basic [ 59 Exercises with Solution ]
- Python NumPy arrays [ 205 Exercises with Solution ]
- Python NumPy Linear Algebra [ 19 Exercises with Solution ]
- Python NumPy Random [ 17 Exercises with Solution ]
- Python NumPy Sorting and Searching [ 9 Exercises with Solution ]
- Python NumPy Mathematics [ 41 Exercises with Solution ]
- Python NumPy Statistics [ 14 Exercises with Solution ]
- Python NumPy DateTime [ 7 Exercises with Solution ]
- Python NumPy String [ 22 Exercises with Solution ]
- Advanced NumPy [ 10 exercises with solution ]
- More to come
Python Challenges :
Python Mini Projects :
Python Pandas :
- Python Pandas Home
- Pandas Data Series [ 40 exercises with solution ]
- Pandas DataFrame [ 81 exercises with solution ]
- Pandas Index [ 26 exercises with solution ]
- Pandas String and Regular Expression [ 41 exercises with solution ]
- Pandas Joining and merging DataFrame [ 15 exercises with solution ]
- Pandas Grouping and Aggregating [ 32 exercises with solution ]
- Pandas Time Series [ 32 exercises with solution ]
- Pandas Filter [ 27 exercises with solution ]
- Pandas GroupBy [ 32 exercises with solution ]
- Pandas Handling Missing Values [ 20 exercises with solution ]
- Pandas Style [ 15 exercises with solution ]
- Pandas Excel Data Analysis [ 25 exercises with solution ]
- Pandas Pivot Table [ 32 exercises with solution ]
- Pandas Datetime [ 25 exercises with solution ]
- Pandas Plotting [ 19 exercises with solution ]
- Pandas SQL database Queries [ 24 exercises with solution ]
- Pandas IMDb Movies Queries [ 17 exercises with solution ]
- Pandas Practice Set-1 [ 65 exercises with solution ]
- More to come
Python Machine Learning :
Learn Python packages using Exercises, Practice, Solution and explanation
Python GeoPy Package :
Python BeautifulSoup :
Python Arrow Module :
Python Web Scraping :
Python Natural Language Toolkit :
Note : Download Python from https://www.python.org/ftp/python/3.2/ and install in your system to execute the Python programs. You can read our Python Installation on Fedora Linux and Windows 7, if you are unfamiliar to Python installation.
You may accomplish the same task (solution of the exercises) in various ways, therefore the ways described here are not the only ways to do stuff. Rather, it would be great, if this helps you anyway to choose your own methods.
List of Exercises with Solutions :
- HTML CSS Exercises, Practice, Solution
- JavaScript Exercises, Practice, Solution
- jQuery Exercises, Practice, Solution
- jQuery-UI Exercises, Practice, Solution
- CoffeeScript Exercises, Practice, Solution
- Twitter Bootstrap Exercises, Practice, Solution
- C Programming Exercises, Practice, Solution
- C# Sharp Programming Exercises, Practice, Solution
- PHP Exercises, Practice, Solution
- Python Exercises, Practice, Solution
- R Programming Exercises, Practice, Solution
- Java Exercises, Practice, Solution
- SQL Exercises, Practice, Solution
- MySQL Exercises, Practice, Solution
- PostgreSQL Exercises, Practice, Solution
- SQLite Exercises, Practice, Solution
- MongoDB Exercises, Practice, Solution
Popularity of Programming Language Worldwide, July 2023 compared to a year ago:
| Rank | Change | Language | Share | Trend |
|---|---|---|---|---|
| 1 | Python | 27.43 % | -0.2 % | |
| 2 | Java | 16.19 % | -1.0% | |
| 3 | Javascript | 9.4 % | -0.1% | |
| 4 | C# | 6.77 % | -0.3% | |
| 5 | C/C++ | 6.44 % | +0.2 % | |
| 6 | PHP | 5.03 % | -0.4 % | |
| 7 | R | 4.45% | +0.1% | |
| 8 | TypeScript | 3.02 % | +0.3% | |
| 9 |  | Swift | 2.42 % | +0.4% |
| 10 | | Rust | 2.15% | +0.6% |
| 11 |  | Objective-C | 2.13% | +0.0% |
| 12 | | Go | 2.01% | +0.0% |
| 13 | | Kotlin | 1.79 % | +0.0% |
| 14 | Matlab | 1.59 % | +0.0% | |
| 15 | Ruby | 1.1% | -0.0% | |
| 16 | | Ada | 1.06 % | +0.3 % |
| 17 | | Powershell | 1.06 % | +0.2 % |
| 18 | | VBA | 0.91 % | -0.1 % |
| 19 | | Dart | 0.86 % | -0.0 % |
| 20 | | Lua | 0.64 % | +0.0 % |
| 21 | Visual Basic | 0.58 % | -0.0 % | |
| 22 | | Abap | 0.57 % | +0.1 % |
| 23 | | Scala | 0.57 % | -0.2 % |
| 24 | | Julia | 0.42 % | -0.1 % |
| 25 | Groovy | 0.42 % | -0.0 % | |
| 26 | | Haskell | 0.3 % | +0.0 % |
| 27 | | Perl | 0.29 % | -0.0 % |
| 28 | Cobol | 0.24 % | -0.0 % | |
| 29 | Delphi/Pascal | 0.16 % | +0.2 % |
TIOBE Index for July 2023
| July 2023 | July 2022 | Change | Programming Language | Ratings | Change |
|---|---|---|---|---|---|
| 1 | 1 | Python | 13.42% | -0.01% | |
| 2 | 2 | C | 11.56% | -1.57% | |
| 3 | 4 | | C++ | 10.80% | +0.79% |
| 4 | 3 | | Java | 10.50% | -1.09% |
| 5 | 5 | C# | 6.87% | +1.21% | |
| 6 | 7 | JavaScript | 3.11% | +1.34% | |
| 7 | 6 | | Visual Basic | 2.90% | -2.07% |
| 8 | 9 | | SQL | 1.48% | -0.16% |
| 9 | 11 | | PHP | 1.41% | +0.21% |
| 10 | 20 | | MATLAB | 1.26% | +0.53% |
| 11 | 18 | | Fortran | 1.25% | +0.49% |
| 12 | 21 | | Scratch | 1.07% | +0.35% |
| 13 | 12 | | Go | 1.07% | -0.07% |
| 14 | 8 | | Assembly language | 1.01% | -0.64% |
| 15 | 14 | | Delphi/Object Pascal | 0.98% | -0.08% |
| 16 | 15 | | Ruby | 0.91% | -0.08% |
| 17 | 29 | | Rust | 0.89% | +0.47% |
| 18 | 10 | | Swift | 0.88% | -0.39% |
| 19 | 19 | R | 0.87% | +0.11% | |
| 20 | 26 | | COBOL | 0.86% | +0.33% |
More to Come !
Do not submit any solution of the above exercises at here, if you want to contribute go to the appropriate exercise page.
[ Want to contribute to Python exercises? Send your code (attached with a .zip file) to us at w3resource[at]yahoo[dot]com. Please avoid copyrighted materials.]Test your Python skills with w3resource’s quiz
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Python: Tips of the Day
How to access environment variable values?
Environment variables are accessed through os.environ
import os print(os.environ['HOME'])
Or you can see a list of all the environment variables using:
As sometimes you might need to see a complete list!
# using get will return 'None' if a key is not present rather than raise a 'KeyError' print(os.environ.get('KEY_THAT_MIGHT_EXIST')) # os.getenv is equivalent, and can also give a default value instead of `None` print(os.getenv('KEY_THAT_MIGHT_EXIST', default_value)) Python default installation on Windows is C:\Python. If you want to find out while running python you can do:
import sys print(sys.prefix)
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