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I'll Show You How To Level Up Your Python Code, And Finally Go Beyond The Basics.
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Dear Python coder,
My name is Aaron Maxwell and in my book, Powerful Python...
I'd like to show you how I built my Python career in Silicon Valley, and become O'Reilly Media's top Python instructor.
If you write Python code in your job right now...
Or if you have been learning Python, and want to go to the next level...
And especially if you are "sick and tired" of beginner courses which keep teaching you the same boring basics, over and over...
I can show you the powerful "first principles" of Python coding, which allow you to quickly write better code than you ever dreamed possible.
At only 180 pages, and with practical code examples on almost every page.
This is designed to be read and put into action FAST.
Powerful Python is for ambitious Pythonistas who want to level up NOW.
"Among the best books available for taking your Python skills to the next level... I feel there are very few books which offer the sort of insights needed to really improve skills. This is one of the few I can highly recommend for those who are struggling to achieve intermediate skill in Python."
Darrell Fee, USA
"What have I found good and valuable about the book so far? Everything honestly. The clear explanations, solid code examples have really helped me advance as a Python coder... Thank you! It has really helped me grasp some advanced concepts that I felt were beyond my abilities."
Nick S., Colorado
"Feels like Neo learning jujitsu in the Matrix."
John Beauford, Texas
Table Of Contents
180 Pages, 9 Chapters, Hundreds Of Code Examples
1 Doing More with Python
2 Scaling With Generators
2.1 Iteration in Python
2.2 Generator Functions
2.3 Generator Patterns and Scalable Composability
2.4 Python is Filled With Iterators
2.5 The Iterator Protocol
3 Creating Collections with Comprehensions
3.1 List Comprehensions
3.2 Formatting For Readability (And More)
3.3 Multiple Sources and Filters
3.4 Comprehensions and Generators
3.5 Dictionaries, Sets, and Tuples
3.6 Limits of Comprehensions
4 Advanced Functions
4.1 Accepting & Passing Variable Arguments
4.2 Functions As Objects
4.3 Key Functions in Python
5 Decorators
5.1 The Basic Decorator
5.2 Data In Decorators
5.3 Decorators That Take Arguments
5.4 Class-based Decorators
5.5 Decorators For Classes
5.6 Preserving the Wrapped Function
6 Exceptions and Errors
6.1 The Basic Idea
6.2 Exceptions Are Objects
6.3 Raising Exceptions
6.4 Catching And Re-raising
6.5 The Most Diabolical Python Anti-Pattern
7 Classes and Objects: Beyond The Basics
7.1 Properties
7.2 The Factory Patterns
7.3 The Observer Pattern
7.4 Magic Methods
7.5 Rebelliously Misusing Magic Methods
8 Automated Testing and TDD
8.1 What is Test-Driven Development?
8.2 Unit Tests And Simple Assertions
8.3 Fixtures And Common Test Setup
8.4 Asserting Exceptions
8.5 Using Subtests
8.6 Final thoughts
9 Logging in Python
9.1 The Basic Interface
9.2 Configuring The Basic Interface
9.3 Passing Arguments
9.4 Beyond Basic: Loggers
9.5 Log Destinations: Handlers and Streams
9.6 Logging to Multiple Destinations
9.7 Record Layout with Formatters
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Fahad Qazi, London
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What Pythonistas Say About Powerful Python
"I just wanted to let you know what an excellent book this is. I'm a self taught developer and after having done badly at some interviews I decided to buy your book. It covers so many of the interview questions I'd got wrong previously... I keep going back to your book to learn Python. I've actually recommended it as an interview guide to some of my friends."
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"What have I found good and valuable about the book so far? Everything honestly. The clear explanations, solid code examples have really helped me advance as a Python coder. Thank you! It has really helped me grasp some advanced concepts that I felt were beyond my abilities"
- Nick S., Colorado, USA
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