Pro Python Best Practices

1. Front Matter

   Pages i-xxvii

   PDF

2. Introduction

   • Kristian Rother

   Pages 1-10

3. Debugging

   1. Front Matter

      Pages 11-11

      PDF

   2. Exceptions in Python

      • Kristian Rother

      Pages 13-25

   3. Semantic Errors in Python

      • Kristian Rother

      Pages 27-41

   4. Debugging with the Scientific Method

      • Kristian Rother

      Pages 43-54

   5. Debugging with print Statements

      • Kristian Rother

      Pages 55-66

   6. Debugging with Introspection Functions

      • Kristian Rother

      Pages 67-84

   7. Using an Interactive Debugger

      • Kristian Rother

      Pages 85-100

4. Automated Testing

   1. Front Matter

      Pages 101-101

      PDF

   2. Writing Automated Tests

      • Kristian Rother

      Pages 103-116

   3. Organizing Test Data

      • Kristian Rother

      Pages 117-128

   4. Writing a Test Suite

      • Kristian Rother

      Pages 129-144

   5. Testing Best Practices

      • Kristian Rother

      Pages 145-158

5. Maintenance

   1. Front Matter

      Pages 159-159

      PDF

   2. Version Control

      • Kristian Rother

      Pages 161-179

   3. Setting Up a Python Project

      • Kristian Rother

      Pages 181-194

   4. Cleaning Up Code

      • Kristian Rother

      Pages 195-212

   5. Decomposing Programming Tasks

      • Kristian Rother

      Pages 213-229

   6. Static Typing in Python

      • Kristian Rother

      Pages 231-244

Learn software engineering and coding best practices to write Python code right and error free. In this book you’ll see how to properly debug, organize, test, and maintain your code, all of which leads to better, more efficient coding.

Software engineering is difficult. Programs of any substantial length are inherently prone to errors of all kinds. The development cycle is full of traps unknown to the apprentice developer. Yet, in Python textbooks little attention is paid to this aspect of getting your code to run. At most, there is a chapter on debugging or unit testing in your average basic Python book. However, the proportion of time spent on getting your code to run is much higher in the real world. Pro Python Best Practices aims to solve this problem.

What You'll Learn

• Learn common debugging techniques that help you find and eliminate errors
  
• Gain techniques to detect bugs more easily
  

Who This Book Is For



Experienced Python coders from web development, big data, and more.

• Python
• debugging
• testing
• tdd
• unit
• code
• best practices
• software
• programming
• development
• web
• big data
• code organization
• version control

“As your Python programs grow, so do your problems: debugging gets harder; the need for well-written tests becomes more urgent; and maintenance issues intrude; bringing the need for a better approach to version control, code organisation, and documentation. Pro Python Best Practices is a neat exploration of all of these topics, which starts by making the case for best practices. … Essential material.” (The MagPi, Issue 59, July, 2017)

• Berlin, Germany

  Kristian Rother

Kristian Rother is a freelance Python developer and trainer with over 30 years of experience.

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