20+ Sources to Polish Your Expertise in Python
Yevheniia Prysiazhna, Lead Communications Specialist at EPAM, shares several learning resources that help you sharpen and polish your Python skills.
About the basic concepts of the language and best practices of writing code you can read in the article Starting your coding journey with Python: a helpful guide for beginners.
Books
With a book, you can learn at your own pace. You can revisit chapters, review examples, and take your time to understand complex topics. Books cover a wide range of topics, from the basics of the language to more advanced concepts.
Here are the newest and top-rated books for learning Python:
Novelties
- Fast Python, by Tiago Antao (released June 2023)
- Causal Inference in Python, by Matheus Facure (released July 2023)
- Head First Python, 3rd Edition, by Paul Barry (released August 2023)
Early release
- Developing Apps with GPT-4 and ChatGPT, by Olivier Caelen & Marie-Alice Blete (expected release date September 2023)
- Building Recommendation Systems in Python and JAX, by Bryan Bischof & Hector Yee (expected release date December 2023)
- Hypermodern Python Tooling, by Claudio Jolowicz (expected release date April 2024)
The highest rating
- Python Crash Course, 2nd Edition, by Eric Matthes (released May 2019)
- Automate the Boring Stuff with Python, 2nd Edition, by Al Sweigart (released November 2019)
- Python Crash Course, 3rd Edition, by Eric Matthes (released January 2023)
- Python for Data Analysis, 3rd Edition, by Wes McKinney (released August 2022)
- Introducing Python, 2nd Edition, by Bill Lubanovic (released November 2019)
- Python Testing with pytest, by Brian Okken (released February 2022)
LinkedIn Learning courses
LinkedIn Learning courses can be another great way to learn Python. They are organized into structured learning paths, ensuring a gradual and logical progression in your learning journey. The instructors are industry experts and experienced professionals who help to enhance your understanding and skill development.
Here are several courses intended for different skill levels:
Level: Beginner
Level: Intermediate
- Python Data Analysis
- Python for Data Science Essential Training Part 1/Part 2
- Hands-On Introduction: Python
Level: Advanced
Live events
- Python Data Structures and Comprehensions — September 26, 2023 (level: Beginner)
- Python Full Throttle with Paul Deitel — October 3, 2023 (level: Beginner to Intermediate)
- Introduction to Python Programming — October 5, 2023 (level: Beginner)
- Object-Oriented Programming in Python — October 10, 2023 (level: Intermediate)
- Programming with Python: Beyond the Basics — October 12, 2023 (level: Intermediate)
- Hands-On Python Programming with HTTPX — October 12, 2023 (level: Beginner to Intermediate)
Remember that consistent practice and application of what you learn are essential for skill improvement. Books and courses provide the foundation, but hands-on coding and working on projects are equally important to truly sharpen your Python skills.