Oreilly – Python How-To: 63 techniques to improve your Python code, Video Edition 2023-6

Apr 18, 2025 - 19:56

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Python How-To: 63 techniques to improve your Python code, Video Edition. This course provides a practical collection of basic Python techniques that answer common questions programmers ask. This video course includes over 60 practical techniques, such as working with strings, managing dictionaries, processing JSON data, creating optimized properties, and modifying variables in different namespaces. The content is designed for developers in various fields such as data science, web development, or scripting, and helps improve programming skills at all levels. Author Yong Kui makes it easy to use Python tools and libraries with clear explanations and practical examples. Each technique starts with a question, then provides a basic solution, advanced modifications, and practical exercises. This book is suitable for both general study and specific problem solving, and is easy to understand with clear illustrations and cross-references.

What you will learn:

Methods for joining and separating strings
Accessing dictionary keys, values, and items
Setting and using return values in function calls
Processing JSON data
Creating lazy attributes to improve performance
Changing variables in different namespaces
Finding items in a sequence
Working with substrings and custom classes
Best practices for writing great Python code

Who is this course suitable for?

Beginner to intermediate Python programmers.

Course details

Publisher: Oreilly
Instructor: Yong Cui
Training level: Beginner to advanced
Training duration: 14 hours and 31 minutes

Course topics

Chapter 1. Developing a pragmatic learning strategy
Chapter 1. What Python can do well or as well as other languages
Chapter 1. What Python can’t do or can’t do well
Chapter 1. What you’ll learn in this book
Chapter 1. Summary
Part 1. Using built-in data models
Chapter 2. Processing and formatting strings
Chapter 2. How do I convert strings to retrieve the represented data?
Chapter 2. How do I join and split strings?
Chapter 2. What are the essentials of regular expressions?
Chapter 2. How do I use regular expressions to process texts?
Chapter 2. Summary
Chapter 3. Using built-in data containers
Chapter 3. How do I sort lists of complicated data using custom functions?
Chapter 3. How do I build a lightweight data model using named tuples?
Chapter 3. How do I access dictionary keys, values, and items?
Chapter 3. When do I use dictionaries and sets instead of lists and tuples?
Chapter 3. How do I use set operations to check the relationships between lists?
Chapter 3. Summary
Chapter 4. Dealing with sequence data
Chapter 4. How do I use positive and negative indexing to retrieve items?
Chapter 4. How do I find items in a sequence?
Chapter 4. How do I unpack a sequence? Beyond tuple unpacking
Chapter 4. When should I consider data models other than lists and tuples?
Chapter 4. Summary
Chapter 5. Iterables and iterations
Chapter 5. What are list, dictionary, and set understandings?
Chapter 5. How do I improve for-loop iterations with built-in functions?
Chapter 5. Using optional statements within for and while loops
Chapter 5. Summary
Part 2. Defining functions
Chapter 6. Defining user-friendly functions
Chapter 6. How do I set and use the return value in function calls?
Chapter 6. How do I use type hints to write understandable functions?
Chapter 6. How do I increase function flexibility with args and kwargs?
Chapter 6. How do I write proper docstrings for a function?
Chapter 6. Summary
Chapter 7. Using functions beyond the basics
Chapter 7. What are the implications of functions as objects
Chapter 7. How do I check functions’ performance with decorators?
Chapter 7. How can I use generator functions as a memory-efficient data provider?
Chapter 7. How do I create partial functions to make routine function calls easier?
Chapter 7. Summary
Part 3. Defining classes
Chapter 8. Defining user-friendly classes
Chapter 8. When do I define instance, static, and class methods?
Chapter 8. How do I apply finer access control to a class?
Chapter 8. How do I customize string representation for a class?
Chapter 8. Why and how do I create a superclass and subclasses?
Chapter 8. Summary
Chapter 9. Using classes beyond the basics
Chapter 9. How do I use data classes to eliminate boilerplate code?
Chapter 9. How do I prepare and process JSON data?
Chapter 9. How do I create lazy attributes to improve performance?
Chapter 9. How do I define classes to have distinct concerns?
Chapter 9. Summary
Part 4. Manipulating objects and files
Chapter 10. Fundamentals of objects
Chapter 10. What’s the lifecycle of instance objects?
Chapter 10. How do I copy an object?
Chapter 10. How do I access and change a variable in a different scope?
Chapter 10. What’s callability, and what does it imply?
Chapter 10. Summary
Chapter 11. Dealing with files
Chapter 11. How do I deal with tabulated data files?
Chapter 11. How do I preserve data as files using pickling?
Chapter 11. How do I manage files on my computer?
Chapter 11. How do I retrieve file metadata?
Chapter 11. Summary
Part 5. Safeguarding the codebase
Chapter 12. Logging and exception handling
Chapter 12. How do I save log records properly?
Chapter 12. How do I handle exceptions?
Chapter 12. How do I use else and finally clauses in exception handling?
Chapter 12. How do I raise informative exceptions with custom exception classes?
Chapter 12. Summary
Chapter 13. Debugging and testing
Chapter 13. How do I debug my program interactively?
Chapter 13. How do I test my functions automatically?
Chapter 13. How do I test a class automatically?
Chapter 13. Summary
Part 6. Building a web app
Chapter 14. Completing a real project
Chapter 14. How do I build the data models for my project?
Chapter 14. How do I use SQLite as my application’s database?
Chapter 14. How do I build a web app as the frontend?
Chapter 14. Summary