Module 1: Learning Python

• Chapter 0: About
  • Thanks to
  • SEAN's Paradise
• chapter 1: Introduction
  • 1.1 A proper introduction
    • 1.1.1 Linux
  • 1.2 Enter the Python
  • 1.3 About Python
  • 1.4 What are the drawbacks?
  • 1.5 Who is using Python today?
  • 1.6 Setting up the environment
  • 1.7 Installing Python
  • 1.8 How you can run a Python program
  • 1.9 How is Python code organized
  • 1.10 Python's execution model
  • 1.11 Guidelines on how to write good code
  • 1.12 The Python culture
  • 1.13 A note on the IDEs
  • 1.14 Summary
• chapter 2: Built-in Data Types
  • 2.1 Everything is an object
    • 2.1.1 Linux
  • 2.2 Mutable or immutable? That is the question
  • 2.3 Numbers
  • 2.4 Immutable sequences
  • 2.5 Mutable sequences
  • 2.6 Set types
  • 2.7 Mapping types – dictionaries
  • 2.8 The collections module
  • 2.9 Final considerations
  • 2.10 Summary
• chapter 3: Iterating and Making Decisions
  • 3.1 Conditional programming
    • 3.1.1 Linux
  • 3.2 Looping
  • 3.3 Putting this all together
  • 3.4 A quick peek at the itertools module
  • 3.5 Summary
• chapter 4: Functions, the Building Blocks of Code
  • 4.1 Why use functions?
  • 4.2 Scopes and name resolution
  • 4.3 Input parameters
  • 4.4 Return values
  • 4.5 A few useful tips
  • 4.6 Recursive functions
  • 4.7 Anonymous functions
  • 4.8 Function attributes
  • 4.9 Built-in functions
  • 4.10 One final example
  • 4.11 Documenting your code
  • 4.12 Importing objects
  • 4.13 Ralative import
  • 4.14 Summary
• chapter 5: Saving Time and Memory
  • 5.1 map, zip, and filter
    • Map
    • zip
    • filter
  • 5.2 Comprehensions
    • Nested Comprehensions
    • Filtering a comprehension
  • 5.3 Generators
  • 5.4 Some performance considerations
  • 5.5 Don't overdo comprehensions and generators
  • 5.6 Name localization
  • 5.7 Generation behavior in built-ins
  • 5.8 One last example
  • 5.9 Summary
• chapter 6: Advanced Concepts
  • 6.1 Decorators
    • 6.1.1 Linux
  • 6.2 Object-oriented programming
  • 6.3 Writing a custom iterator
  • 6.4 Summary
• chapter 7: Testing, Profiling, and Dealing with Exceptions
  • 7.1 Testing your application
    • 7.1.1 Linux
  • 7.2 Test-driven development
  • 7.3 Exceptions
  • 7.4 Profiling Python
  • 7.4 Summary
• chapter 8: The Edges – GUIs and Scripts
  • 8.1 First approach
    • 8.1.1 Linux
  • 8.2 Second approach
  • 8.3 Where do we go from here?
  • 8.4 Summary
• chapter 9: Data Science
  • 9.1 IPython and Jupyter notebook
    • 9.1.1 Linux
  • 9.2 Dealing with data
  • 9.3 Where do we go from here?
  • 9.4 Summary
• chapter 10: Web Development Done Right
  • 10.1 What is the Web?
    • 10.1.1 Linux
  • 10.2 How does the Web work?
  • 10.3 The Django web framework
  • 10.4 A regex website
  • 10.5 The future of web development
  • 10.6 Summary
• chapter 11: Debugging and Troubleshooting
  • 11.1 Debugging techniques
    • 11.1.1 Linux
  • 11.2 Troubleshooting guidelines
  • 11.3 Summary
• chapter 12: Summing Up – A Complete Example
  • 12.1 The challenge
    • 12.1.1 Linux
  • 12.2 Our implementation
  • 12.3 Implementing the Django interface
  • 12.4 Implementing the Falcon API
  • 12.5 Where do you go from here?
  • 12.6 Summary
  • 12.7 A word of farewell