Coffee Break Python – Mastery Workout: 99 Tricky Python Puzzles to Push You to Programming Mastery
- Length: 197 pages
- Edition: 1
- Language: English
- Publisher: Independently published
- Publication Date: 2020-05-24
- ISBN-10: B0892DP5WY
- ISBN-13: 9798648401426
- Sales Rank: #980738 (See Top 100 Books)
Are you a master Python coder? Prove it!
Coffee Break Python – Mastery Workout helps you boost your Python skills and reach mastery level. The approach is simple: you solve 99 really hard Python puzzles that get harder as you progress with the book.
A clear path to Python mastery!
How do grandmasters of chess become that way? They study thousands of chess positions. They look at a chess position, commit to a solution, and compare it against the “gold standard” — the best move in a given position.This book is the chess grandmaster way of learning Python. It offers you 99 challenging, exclusive, and brand-new Python puzzles. Every puzzle points to gaps in your knowledge, challenges you to guess a solution, and then explains the result.
An easy, fun, and extremely effective way of not only learning but mastering Python — day after day — in your COFFEE BREAK PYTHON!
Burn 99 new Python patterns into your brain and rewire your synapses.
Here’s what research says about puzzle-based learning:
“Students who were quizzed after studying a short text could recall significantly more information than students who were asked to reread it”
— Karpicke, 2007, Elsevier Journal of Memory and Language
Practice testing is scientifically proven to generate up to 44% better learning retention and efficiency.
Simply put: quizzes and puzzles work! More than 100,000 Finxters and thousands of “Coffee Break Python” book customers have successfully improved their skills with code puzzles.
Learning does not happen in a linear and orderly manner. It’s a probabilistic, chaotic, and iterative process of creating knowledge gaps in your brain — and filling them with just the right information you need.
That’s the premise of the “Coffee Break Python” textbook series.
Here’s how you will change by reading this book:
- Improve your level of deep Python code understanding.
- Surprise your peers with your newly acquired code speed reading skills.
- Enjoy the small daily doses of intellectual challenges (“Sudoku for coders”).
- Improve your brain’s working memory by hammering down the most important concepts.
- Learn all the advanced Python syntax elements.
- Discover your own skill level by tracking your puzzle-solving performance.
- Compare your skill level against other coders: are you a grandmaster of code?
- Enjoy the fun of rushing through very (very) hard Python puzzles.
- Get the best of all Finxter Python cheat sheets to revive 80% of the Python features in 20% of the time.
- Rock your upcoming code interviews and get your dream job!
And take one step forward mastering the most popular programming language ON THE PLANET!
Table of Contents Introduction Why Code Puzzles? Elo How to Use This Book Test & Train Elo 1300-1400 Basic For Loop Variable Scope III Elo 1400-1500 Boolean Conversion Tuple Constructor Popping List Elements Elo 1500-1600 Extending Lists list.extend() vs. list.append() List Objects Python Basic Set Operations Length Arithmetik Print Arguments Dictionary Keys Elo 1600-1700 String Find Slicing List Arithmetic I List Arithmetic II Variable Scope II String Find Zip Heterogeneous Lists Elo 1700-1800 Boolean Integer Relationship Slice Assignment Basics List Multiplication Integers in Memory Slice Assignment Maximum With Key Maximum With Key Variable Scoping Lists Dictionary Comprehension Minimum with Key Slice Assignment Keyword Arguments Assignment Confusion Slice Assignment Unpacking Strings Elo 1800-1900 While ... Else Loop Enumerating Dictionaries Negative Slice Indices Iterable Unpacking Default Arguments in Constructor List Arithmetic III Default Function Arguments Class Variables and Inheritance Integer and String Conversions Finding Substrings Integer and Float Conversions List Operations Variable Scope I Arbitrary Arguments Dictionary Unpacking and Assignment List Object Recursion Ternary Operator Memory Allocation Scope of Instance Attributes Elo 1900-2000 Dictionary Conditional Insert Dictionary Initialization List Comprehension Arithmetic Overriding Understanding Iterables I Overriding 2.0 List Arithmetic (Multiplication) Unpacking for Pros Customizing the Minimum Default Arguments Unpacking Reloaded Class Variables Reloaded Swapping Values in Instance Methods Slicing Confusion Short Circuiting Dictionary Comprehension Dictionary Pop Class Variable vs Instance Attributes Dictionary Unpacking Instance and Attribute Parallel Assignment Understanding Iterables II Advanced Mapping Tuple Concatenation Class vs Instance Variables Default Object Arguments Default Function Arguments and Scoping Elo 2000-2100 String Representation List Operations Slicing Tuples Zip Zip Iteration Being Precise Set Default Dicts Sequence Comparison Definition of Instance Variables Name Resolution in Classes Elo 2100-2200 Overriding 3.0 Short Circuiting Boolean Operator Precedence Elo 2200-2300 Operator Precedence Custom Sum Global and Local Variable Scopes Elo 2300-* Mutability of Objects The Complement Operator Final Remarks Where to Go From Here? Python Cheat Sheets Keywords Basic Data Types Complex Data Types Classes Functions and Tricks
Donate to keep this site alive
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.
