Python 3 in Anger
Python 3 in Anger
A well-grounded Python 3.7+ tutorial
About the Book
I suggest this book for everyone who wants to learn Python 3.
My intention is to make this book a useful support for university course students to understand concepts from the classes like CSCI-A 201 or CS 160. I help this understanding with examples from simple to complex.
Until it is finished, you can buy the book for a discounted price. The final book will be around $25.
This book will contain the following topics:
- Differences between Python 2.7 and 3.x
- Python implementations and Installation (Python interpreter, modules with pip)
- Variables and basic types (numbers, strings)
- Basic operators
- Basic string operators
- String formatting
- Date and time
- List comprehension
- Conditions (boolean operators, is, in, not)
- Multiple function arguments
- Partial functions
- Classes and objects
- Code introspection
- Modules and packages
- File I/O
- Exception handling
- Database access
- XML processing
- Website scraping
- Sending mails
Table of Contents
- Why not Python 2?
- Why should I care?
- What does “in Anger” mean?
- What will I do exactly?
- Length of the book
- Book structure
- Other publishers
- Example code
1. Introduction to Python
- 1.1 Differences between Python versions 2 and 3
- 1.2 Installing and running Python 3.5
- 1.3 Some Python easter eggs
2. Basic syntax and operators
- 2.2 Basic syntax
- 2.3 Basic operators
- 2.4 Script files
- 2.5 Using other modules
- 2.1 The
3. Variables and basic types
- 3.1 Variables
- 3.2 Basic types
- 3.3 Datatype conversions
4. First exercise: Hello World!
- 4.1 Spam in the interpreter
- 4.2 Spam as a script
5. Numbers and strings
- 5.1 Numbers in anger
- 5.2 Strings in anger
6. Exercise: Strings in anger
- 6.1 Using variables and string formatting
- 6.2 Mad libs
- 6.3 Calculating the area of a rectangular shape
- 6.4 Flop-Flip
- 6.5 String analyzer
7. Date and time
- 7.1 Ticks
- 7.2 Time tuples
- 7.3 Datetime
- 7.4 Calendars
8. Collections (lists, tuples, sets, dictionaries)
- 8.1 Lists
- 8.2 Tuples
- 8.3 Sets
- 8.4 Dictionaries
9. Exercise: Some collections in Anger
- 9.1 Magic 8 ball
- 9.2 Choose a winner
10. Decision making with conditionals
- 10.1 About conditionals
10.2 The life is not just
- 10.3 Ternary operator in Python
- 10.4 Best practices with conditionals
- 10.5 Applying the learned methods
- 11.1 Modifying the control flow in the loop’s body
- 11.4 Improving the “FizzBuzz” game
12. Exercise: Writing real scripts
- 12.1 Number comparison
- 12.2 Rock-Paper-Scissors
- 12.3 Rock-Paper-Scissors-Lizard-Spock
- 12.4 Guess the number
- 13.1 Defining a function
- 13.2 Calling functions
- 13.3 Return values
- 13.4 Optional parameters
- 13.5 Keyword arguments
- 13.6 Docstrings
- 13.7 Function overloading
14. Exercise: Functions for good
- 14.1 Triangle sides
- 14.2 Palindrome words, phrases and sentences
- 14.3 Number-size
- 14.4 Guess the number – The return
- 14.5 Time difference
15. Some words about variable scopes
- 15.1 Global scope
- 15.2 Local scope
- 15.3 Changing a global variable
16. Object-Oriented Programming (OOP)
- 16.1 General object-orientation
- 16.2 When to use OO?
17. Python and OOP
- 17.2 Attribute visibility
- 17.3 Class variables / attributes, functions
- 17.4 Other default functions of classes
17.5 Defining a class with
- 17.6 Changing the base classes for a class
- 17.7 An example
18. Packaging functionality into modules and packages
- 18.1 What are modules?
- 18.2 Static imports
- 18.3 Installing libraries (modules and packages)
- 18.4 Creating a simple module
- 18.5 Using our module
- 18.7 What are packages?
- 18.8 Creating our own package
- 18.9 Using our package
- 18.10 Creating packages for everyone
- 1. Introduction to Python
19. Generators, list- and dictionary-comprehension
- 19.1 Generators
- 19.2 Comprehensions
20. Variable number of function arguments
- 20.1 Simple variable number of arguments
- 20.2 Variable key-value-pair arguments
- 20.3 Mixing these types of variable number of arguments
- 20.4 Conclusion
21. Partial and nested functions, closures
- 21.1 Closures
- 21.2 What makes closures special?
- 21.3 How to create a closure?
- 21.4 What are closures good for?
- 21.5 Late binding of closures
- 21.6 Partial function application a.k.a. Currying
- 21.7 Nested functions
- 21.8 Conclusion
22. Exception handling in Python
- 22.1 What are exceptions?
- 22.2 Catching an exception
- 22.4 Raising an exception
22.5 An example:
- 22.6 Conclusion
23. File I/O
- 23.1 File objects
- 23.2 Reading files
- 23.3 Writing to files
- 23.4 Example: adding a leaderboard to the ‘Guess the Number’ game
- 23.5 Homework
23.6 Opening files
- 23.7 Conclusion
- 24. Website scraping
25. Testing Python code
- 25.1 Why writing tests?
- 25.2 Behold the pyramid!
- 25.3 Module tests
- 25.5 Unit tests
- 25.6 Mocking and stubbing
- 25.7 Other libraries
- 25.8 Conclusion
Interesting Python libraries
- 19. Generators, list- and dictionary-comprehension
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