Recent innovations in Artificial intelligence have catapulted Python’s popularity. People marvel at what AI can do, and the productivity benefits machine learning is bringing to the tech world.
Python programming powers a majority of global industries, including data science, web development, finance, and security, to name a few. It's gradually becoming a sought-after tech skill.
There are many resources available online to learn Python programming. But not all are practical. These GitHub repositories all feature practical tutorials to boost your skills.
1. Python Project-Based Learning
This repository lists programming tutorials for various languages, including Python. It has contributions from over 100 experienced software developers. As a learner, you will practice with tutorials and learn how to build applications from scratch.
The tutorials include various projects that allow a learner to practice Python-based skills. These include machine learning, web scraping and building bots, and web applications. You get to work on real-world projects and gain in-demand skills.
The tutorials use a combination of programming languages to create the projects. You, therefore, get to work with other languages and technologies alongside Python. So while learning Python, you get acquainted with other languages and communities.
2. All Algorithms/Python
This repository is the go-to place for Python Algorithms. It contains a number of algorithms implemented in Python. There are essential algorithms that every programmer should know.
The repo is an open-source community of programmers building new projects. They help each other with ideas and problem-solving. Their main goal is to work together to document and model helpful algorithms using code.
When you join the community, you practice and contribute to existing projects. They have social media accounts where developers communicate, debug and discuss projects.
The community keeps you updated with the latest Python programming news and guidelines. They also have repositories and communities of other modern programming languages.
3. Asabeneh/30 Days of Python
A seasoned Python programmer named Asabeneh Yetayeh created this repository. It's one of the many repositories he created for modern programming languages.
30 days of Python programming is a challenge for beginners to learn Python in 30 days. It's a step-by-step guide that includes everyday challenges. As a learner, you have notes and exercises to test your learning at the end of each lesson. The exercises have categories 1-3 to test your understanding of the day's concepts.
To earn a certificate, you must actively engage in the 30DaysOfPython challenge. There is a telegram group for anyone interested in the 30-day sprint. When you complete the challenge, you will earn a certificate. You also have the choice to learn the course at your own pace and take longer than the 30 days challenge.
As a learner, you can raise issues and contribute to the repo. The course has a star rating of 18000-star rating of GitHub, so it would be worthwhile to check it out.
4. 100-Days-Of-ML-Code
This is a practical machine learning course by Siraj Vajal. It's a 100-day challenge for machine learning enthusiasts. Siraj segments the course into notes and daily activities. This schedule exposes you to machine-learning concepts gradually.
You start with introductory guides such as installing necessary Python tools and software. As a beginner, there are some useful Python tools you will require to make your learning easier. . Later you advance to more complex concepts like decision trees and logistic regression. The guide provides the needed datasets and code you can use during practice.
5. Playground and Cheatsheet for Learning Python
This is a Python playground created by Oleksii Trekhleb and other contributors. It provides an interactive interface for you to change and add code to see how it works.
Practice python programming using the following steps:
- Pick a topic you would like to learn or recap.
- Read the instructions linked on the docstrings in the scripts.
- Examine examples of code and assertions to see the expected output.
- Change assertions, add and run the code to practice.
- Run tests to see if it works correctly.
You can check your code against the provided Python code style guides. This helps to learn Python syntax and expressions through practice. It also improves the quality of your code. You can use the repo as a cheat sheet to recap statements and Python constructions.
6. Practical Python Programming
This course by David Beazily covers the foundational aspects of Python programming. It emphasizes script writing, data manipulation, and organization of programs. The course is not for absolute beginners in programming. It targets developers with experience in other programming languages other than Python.
This course is part of David's instructor-led courses. He uses the same course in Python for corporate training and professional development. As a learner, you will be learning and practicing on real-world projects.
The course helps you understand and work better with complex Python programs. You learn to write quality and modify or read code from other developers. It includes 25-35 hours of intense work, including hands-on coding exercises. But you also have the option to learn at your own pace.
7. Python Programming Exercises
Jeffery Hu created this repository for Python challenges. The repo includes 100+ Python exercises for users to test their programming skills. The exercises include exciting projects like creating games, translation programs, and manipulating features.
You have access to notes that explain requirements and expectations. You also have ready code to copy-paste on your IDE to see how it works. Alternatively, you can also practice on the online IDE that runs on the browser. Jeffrey set up the IDE for beginners struggling to set up a local environment. It helps them to learn as they practice.
Why Learn Python?
There's a myth that Python is a beginner-friendly language. While that is debatable, its productivity isn't. Python is versatile, making it useful in creating real-life solutions. You can use it in simple projects and complex projects like AI development.
Python improves with each release. The latest version, Python 3.11, has many improvements. There are new library modules and improved interpreters, among other enhancements. These improvements make writing code, debugging, and setting up projects easier.
Python is one of the best programming languages to learn in the 21st century. Use the above-named repositories to practice as you learn Python programming.