Book Image

Mastering Python 2E - Second Edition

By : Rick van Hattem
5 (1)
Book Image

Mastering Python 2E - Second Edition

5 (1)
By: Rick van Hattem

Overview of this book

Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community. If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges
Table of Contents (21 chapters)
19
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20
Index

Interactive debugging

Now that we have discussed basic debugging methods that will always work, we will look at interactive debugging for some more advanced debugging techniques. The previous debugging methods made variables and stacks visible through modifying the code and/or foresight. This time around, we will look at a slightly smarter method, which constitutes doing the same thing interactively, but once the need arises.

Console on demand

When testing some Python code, you may have used the interactive console a couple of times, since it’s a simple yet effective tool for testing your Python code. What you might not have known is that it is actually simple to start your own shell from within your code. So, whenever you want to drop into a regular shell from a specific point in your code, that’s easily possible:

import code

def start_console():
    some_variable = 123
    print(f'Launching console, some_variable: {some_variable}')
    code.interact...