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I'll Show You How To Level Up Your Python Code, And Finally Go Beyond The Basics.
Get Powerful Python Today And Discover How I Use The First Principles Of Python To Write Code At The Top 1% FAANG Level.
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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"I just wanted to let you know what an excellent book this is. I keep going back to your book to learn Python."
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."
- Fahad Qazi, London, UK
"Instant productivity gains. These are the best 200 pages you will find on Python if you're an experienced programmer looking to make a leap in your Python skills. The entire book takes only a few days to read, and it's very enjoyable. I'm already seeing the rewards in my code as I have shifted from writing simple scripts with 1-2 normal functions to writing a unit-tested class which creates its own decorated functions at runtime (data-driven), overloads operators, and properly handles and throws exceptions. Nowhere else have I found so many of Python's unique features explained so clearly and succinctly as I have in Powerful Python."
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"This book is a must have and must read for every Python developer."
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"A lot of advanced and useful Python features condensed in a single book."
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"Thanks. Keep up the good work. Your chapter on decorators is the best I have seen on that topic."
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"It's direct. Goes right for a couple of subjects that have real-world relevance."
- Chuck Staples, Maine, 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, USA
"Only a couple chapters in so far but already loving the book. Generators are a game changer."
- Ben Randerson, Aberdeen, UK
"I'm finding your book very insightful and useful... I have greatly benefitted from your rich examples and your extremely clear explanations. Yours is one of the few books I keep on my desk."
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"Thank you for your book. It is packed with great information, and even better that information is presented in an easy to understand manner... Five stars."
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- Bryant Biggs
"This is among the best books available for taking your Python skills to the next level. I have read many books on Python programming in a quest to find intermediate level instruction. 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. The author clearly has a mastery of the topic and has an ability to convey it in and understandable way."
- Darrell Fee, USA
"Just what I needed. I think it was pretty excellent. Very much applicable to where I'm at with Python today and taking my coding to the next level... I think you have definitely given me some broad ideas on being able to scale, and some things that I should strive for in my code."
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"This book taught me a great deal and was enjoyable to read. The complex patterns are explained well with enough detail to understand but not too much to confuse the reader. After having the book for one day I recommended it to my team and will make it required reading for our interns and junior devs."
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"Amazing work! I wish all technical books could be this good."
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"Truly next-level Python. Concise to the point and practical. Will take your Python to the next level."
- Amado, USA
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"Five Stars. I've studied this deeply, this author has been a big contributor to my lifetime development in software engineering."
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"Looking to go beyond the basics, to broaden and deepen your Python skills? This is the book for you. Highly recommended!"
- Michael Herman, USA
"There are very few books that can bridge the gap between basics and advanced level and this is one of them."
- Rodrigo Albuquerque, UK
"This is really good for intermediate Python programmers, who have mastered the basics and are looking for new ideas on various new modules and features out in Python. Also the author explains few gotchas and secrets from the woods to make you a sound Python pro."
- Andrew, UK
"Excellent book. I found the explanation of some complex topics very easy to understand. An example of this are the chapters on decorators and testing. I would recommend this book to anybody who already knows Python and wants to take it to the next level... The author shares a lot of best practices used in the real world which I’ve noticed that a lot of books leave out."
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"Great book, Python finally explained in an advanced and in-depth way..."
- Alex, Italy
"This is really good book."
-Â Marcin Adamowicz, UK
"Powerful Python is already helping me get huge optimization gains."
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"Warmly recommended to all Pythonists."
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