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Everything You'll Need to Complete the Stack
Achieve Python Programming Mastery with Hands-On Projects
You Will Learn:
- How to Use Python – Practical Examples, Code Snippets, Plus Follow Along to Code Your Own Game!
- Python Fundamentals – How to Use Python for Web Design and Interfacing with GitHub, SQL, and Other Applications
- Object-Oriented Programming Principles – Managing Data, Scripts, Logic, Inputs, Outputs, and More!
- Programming Essentials – Debugging, Producing Clean Code, Best Practices, Time-Savers, and Tips
- Python Next Steps –Testing, Optimization, Speed Improvements, Integrations with Other Applications, and More!
PART 1
Getting Started with Python
Master the fundamentals to effective Python programming
Chapters: 4
Pages: 66
PART 2
Functions and Classes
Utilize functions, classes, inheritance, dataclasses and more to optimize your code.
Chapters: 5
Pages: 76
PART 3
Python in Action
Learn how Python can process complex inputs, including math, and understand how to debug with Python.
Chapters: 3
Pages: 34
PART 4
Advanced Python
Other uses of Python, with sections on SQL, Git, Python optimization and beyond!
Chapters: 7
Pages: 80
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Sample SQL Database & Hands On Exercises
Put what you learn into practice right away with a sample database, free database browser, and helpful hands-on exercises. This is the best way to learn SQL!
Python GitHub Source Code
All the code used for the exercises throughout the books, located in one GitHub Repository that's easy-to-access and even easier to deploy
SQL Commands Cheat Sheet
Keep commands and queries close at hand. Refresh your memory, learn common queries and commands, and save time with his handy resource.
List of Built-In Exceptions
Running into errors with your ocde? Check out this list of built-in exceptions to quickly diagnose and troubleshoot any errors you might come across.
Regular Expressions Cheat Sheet
Regular expressions (regex) can be complicated. This quick-reference PDF includes common symbols and text combinations to get you acclimated.
Python References and Online Resources
Additional coding resources, tips and tricks straight from the author, examples of Python concepts in action, and more!
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