Python 3 in Anger
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Last updated on 2018-12-08
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
- Tuples
- Lists
- Dictionaries
- Sets
- Generators
- List comprehension
- Conditions (boolean operators, is, in, not)
- Loops
- Functions
- Multiple function arguments
- Partial functions
- Decorators
- Classes and objects
- Code introspection
- Modules and packages
- File I/O
- Exception handling
- Database access
- Networking
- Parallelism
- XML processing
- Website scraping
- Sending mails
About the Author
Table of Contents
-
-
Preface
- Why not Python 2?
- Why should I care?
- What does “in Anger” mean?
- What will I do exactly?
- Prerequisites
- Length of the book
- Book structure
- LeanPub
- Other publishers
- Example code
-
Preface
-
Beginning Python
-
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
-
2.1 The
printfunction - 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
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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
TrueorFalse - 10.3 Ternary operator in Python
- 10.4 Best practices with conditionals
- 10.5 Applying the learned methods
-
11. Loops
- 11.1 Modifying the control flow in the loop’s body
-
11.2
forloops -
11.3
whileloops - 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. Functions
- 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
-
17.1
self - 17.2 Attribute visibility
- 17.3 Class variables / attributes, functions
- 17.4 Other default functions of classes
-
17.5 Defining a class with
type - 17.6 Changing the base classes for a class
- 17.7 An example
-
17.1
-
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
-
18.6 the
dir()function - 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
-
Advanced 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
-
22.3
try-except-finally - 22.4 Raising an exception
-
22.5 An example:
KeyboardInterrupt - 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
with… - 23.7 Conclusion
- 24. Website scraping
-
25. Testing Python code
- 25.1 Why writing tests?
- 25.2 Behold the pyramid!
- 25.3 Module tests
-
25.4
doctest - 25.5 Unit tests
- 25.6 Mocking and stubbing
- 25.7 Other libraries
- 25.8 Conclusion
-
Interesting Python libraries
- mypy
- nose
- http.server
- matplotlib
- Requests
- PeeWee
- PyGame
- prettytable
- progressbar
- uuid
-
19. Generators, list- and dictionary-comprehension
- Notes
Causes Supported
Open Sourcing Mental Illness, Ltd
Changing how we talk about mental health in the tech community.
https://osmihelp.orgChanging how we talk about mental health in the tech community.
Open Sourcing Mental Illness is a non-profit, 501c3 corporation dedicated to raising awareness, educating, and providing resources to support mental wellness in the tech and open source communities.
OSMI began in 2013 as a speaking campaign by Ed Finkler. Ed started speaking at tech conferences about his personal experiences as a web developer and open source advocate with a mental health disorder. The response was overwhelming, and Ed has continued to speak, gather data, and organize efforts to change experiences of those with mental health disorders in the tech workplace. This includes speaking at conferences and companies, conducting research, and creating documentation to assist companies in making supportive environments for those impacted by mental health disorders. He is assisted in these efforts by selfless volunteers who bring their time and expertise to bear on this important issue.
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