Illustrated Guide to Python 3

Illustrated Guide to Python 3
  • eBook:
    Illustrated Guide to Python 3: A Complete Walkthrough of Beginning Python with Unique Illustrations Showing how Python Really Works. Now covers Python 3.6
  • Author:
    Matt Harrison
  • Edition:
  • Categories:
  • Data:
    November 1, 2017
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    257 pages
  • Format:

Book Description
Introducing Your Guide to Learning Python

Illustrated Guide to Learning Python is designed to bring developers and others who are anxious to learn Python up to speed quickly. Not only does it teach the basics of syntax, but it condenses years of experience. You will learn warts, gotchas, best practices and hints that have been gleaned through the years in days. You will hit the ground running and running in the right way.

Learn Python Quickly

Python is an incredible language. It is powerful and applicable in many areas. It is used for automation of simple or complex tasks, numerical processing, web development, interactive games and more. Whether you are a programmer coming to Python from another language, managing Python programmers or wanting to learn to program, it makes sense to cut to the chase and learn Python the right way. You could scour blogs, websites and much longer tomes if you have time. Treading on Python lets you learn the hints and tips to be Pythonic quickly.

Packed with Useful Hints and Tips

You'll learn the best practices without wasting time searching or trying to force Python to be like other languages. I've collected all the gems I've gleaned over years of writing and teaching Python for you.

A No Nonsense Guide to Mastering Basic Python
Python is a programming language that lets you work more quickly and integrate your systems more effectively. You can learn to use Python and see almost immediate gains in productivity and lower maintenance costs.

What you will learn:
  • Distilled best practices and tips
  • How interpreted languages work
  • Using basic types such as Strings, Integers, and Floats
  • Best practices for using the interpreter during development
  • The difference between mutable and immutable data
  • Sets, Lists, and Dictionaries, and when to use each
  • Gathering keyboard input
  • How to define a class
  • Looping constructs
  • Handling Exceptions in code
  • Slicing sequences
  • Creating modular code
  • Using libraries
  • Laying out code
  • Community prescribed conventions


1. Why Python?
2. Which Version of Python?
3. The Interpreter
4. Running Programs
5. Writing and Reading Data
6. Variables
7. More about Objects
8. Numbers
9. Strings
10. dir, help, and pdb
11. Strings and Methods
12. Comments, Booleans, and None
13. Conditionals and Whitespace
14. Containers: Lists, Tuples, and Sets
15. Iteration
16. Dictionaries
17. Functions
18. Indexing and Slicing
19. File Input and Output
20. Unicode
21. Classes
22. Subclassing a Class
23. Exceptions
24. Importing Libraries
25. Libraries: Packages and Modules
26. A Complete Example
27. Onto Bigger and Better

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