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Python Exercises, Practice, Solution

What is Python language?

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!

List of Python Exercises :

Python Challenges :

Python Mini Projects :

Python GUI tkinter

Python NumPy :

Python Pandas :

Python Exercises

Python BeautifulSoup :

Python Web Scraping :

Python Natural Language Toolkit :

Python Arrow Module :

Python GeoPy Package :

More...

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 :

Popularity of Programming Language
Worldwide, March 2020 compared to a year ago:

Rank Change Language Share Trend
1 Python 30.09 % +3.9 %
2 Java 18.84 % -1.7 %
3 Javascript 8.1 % -0.1 %
4 C# 7.27% -0.0 %
5 PHP 6.08 % -1.1 %
6 C/C++ 5.86 % -0.2 %
7 R 3.73 % -0.2 %
8 Objective-C 2.42% -0.5 %
9 Swift 2.28 % -0.1 %
10 Matlab 1.89% -0.1 %
11 TypeScript 1.81 % +0.2 %
12 up arrow Kotlin 1.64 % +0.5 %
13 VBA 1.29 % -0.1 %
14 up arrow Go 1.28 % +0.2 %
15 down arrow Ruby 1.26 % -0.2 %
16 Scala 0.97 % -0.2 %
17 down arrow Visual Basic 0.9 % -0.2 %
18 up arrow Rust 0.62 % +0.1 %
19 Abap 0.53 % -0.0 %
20 down arrow Perl 0.53 % -0.1 %
21 up arrow Dart 0.45 % +0.2 %
22 down arrow Groovy 0.39 % -0.1 %
23   Ada 0.34 % -0.0 %
24 down arrow Lua 0.31 % -0.1 %
25 Haskell 0.3 % +0.0 %
26 down arrow Cobol 0.3 % -0.0 %
27 up arrow Julia 0.27 % +0.0 %
28 down arrow Delphi 0.24 % -0.0 %

Source : http://pypl.github.io/PYPL.html

TIOBE Index for February 2020

Mar 2020 Mar 2019 Change Programming Language Ratings Change
1 1 Java 17.78% +2.90%
2 2 C 16.33% +3.03%
3 3 Python 10.11% +1.85%
4 4 C++ 6.79% -1.34%
5 6 up arrow C# 5.32% +2.05%
6 5 down arrow Visual Basic .NET 5.26% -1.17%
7 7 JavaScript 2.05% -0.38%
8 8 PHP 2.02% -0.40%
9 9 SQL 1.83% -0.09%
10 18 up arrow Go 1.28% +0.26%
11 14 up arrow R 1.26% -0.02%
12 12 Assembly language 1.25% -0.16%
13 17 up arrow Swift 1.24% +0.08%
14 15 up arrow Ruby 1.05% -0.15%
15 11 down arrow MATLAB 0.99% -0.48%
16 22 up arrow PL/SQL 0.98% +0.25%
17 13 down arrow Perl 0.91% -0.40%
18 20 up arrow Visual Basic 0.77% -0.19%
19 10 down arrow Objective-C 0.73% -0.95%
20 19 down arrow Delphi/Object Pascal 0.71% -0.30%

Source : https://www.tiobe.com/tiobe-index/

[ 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.]



Python: Tips of the Day

Returns a list of elements that exist in both lists, after applying the provided function to each list element of both.

Example:

def tips_intersection_by(a, b, fn):
  _b = set(map(fn, b))
  return [item for item in a if fn(item) in _b]

from math import floor
print(tips_intersection_by([2.1, 1.2], [2.3, 3.4],floor))

Output:

[2.1]