Python How-To: 63 techniques to improve your Python code

Коротко и по делу о том, что важно знать про python.

Have you ever asked yourself, “How do I do that in Python?” If so, you’ll love this practical collection of the most important Python techniques.

Python How-To includes over 60 detailed answers to questions like:How do I join and split strings?

How do I access dictionary keys, values, and items?

How do I set and use the return value in function calls?

How do I process JSON data?

How do I create lazy attributes to improve performance?

How do I change variables in a different namespace?

…and much more

Whether you’re doing data science, building web applications, or writing admin scripts, you’ll find answers to your “how-to” questions in this book. Python How-To walks you through the most important coding techniques in Python. Inside you’ll find important insights into both Python basics and deep-dive topics to help you skill-up at any stage of your Python career. Perfect to be read both from cover to cover, and whenever you need help troubleshooting your code. Author Yong Cui’s clear and practical writing is instantly accessible and makes it easy to take advantage of Python’s versatile tools and libraries.

You’ll start with a question, like “How do I find items in a sequence?” Next, you’ll see an example showing the basic solution in crystal-clear code. About the TechnologyPython How-To uses a simple but powerful method to lock in 63 core Python skills. You’ll then explore interesting variations, such as finding substrings or identifying custom classes. Finally, you’ll practice with a challenge exercise before moving on to the next How-To.

As you go, you’ll explore best practices for writing great Python code. About the BookThis practical guide covers all the language features you’ll need to get up and running with Python. Practical suggestions and engaging graphics make each important technique come to life. Author Yong Cui’s careful cross-referencing reveals how you can reuse features and concepts in different contexts.

How to:Join and split strings

Access dictionary keys, values, and items

Set and use the return value in function calls

Process JSON data

Create lazy attributes to improve performance

Change variables in a different namespace

…and much more.

About the ReaderFor beginning to intermediate Python programmers.

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