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Learning Python

You're reading from   Learning Python Learn to code like a professional with Python - an open source, versatile, and powerful programming language

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551712
Length 442 pages
Edition 1st Edition
Languages
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Author (1):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction and First Steps – Take a Deep Breath FREE CHAPTER 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. Advanced Concepts – OOP, Decorators, and Iterators 7. Testing, Profiling, and Dealing with Exceptions 8. The Edges – GUIs and Scripts 9. Data Science 10. Web Development Done Right 11. Debugging and Troubleshooting 12. Summing Up – A Complete Example Index

Troubleshooting guidelines

In this short section, I'll like to give you a few tips that come from my troubleshooting experience.

Using console editors

First, get comfortable using vim or nano as an editor, and learn the basics of the console. When things break bad you don't have the luxury of your editor with all the bells and whistles there. You have to connect to a box and work from there. So it's a very good idea to be comfortable browsing your production environment with console commands, and be able to edit files using console-based editors such as vi, vim, or nano. Don't let your usual development environment spoil you, because you'll have to pay a price if you do.

Where to inspect

My second suggestion is on where to place your debugging breakpoints. It doesn't matter if you are using print, a custom function, or ipdb, you still have to choose where to place the calls that provide you with the information, right?

Well, some places are better than others, and...

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