[2020 Launch]

Python One-Liners

​Accomplish ​more ​with ​less code!
  • ​Python Refresher
  • ​Python Tricks
  • ​Data Science
  • ​Machine Learning
  • ​Regular Expressions
  • ​Algorithms

What Our Readers Say

"I'm Enjoying How Short Lessons Stick With You"

"If You Have Any Doubts About Whether To Buy - Don't!"

Python One-Liners will teach you how to read and write “one-liners”: concise statements of useful functionality packed into a single line of code. You'll learn
how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert.

The book’s five chapters cover tips and tricks, regular expressions, machine learning, core data science topics, and useful algorithms. Detailed explanations of one-liners introduce key computer science concepts and boost your coding and analytical skills.

You'll learn about advanced Python features such as list comprehension, slicing, lambda functions, regular expressions, map and reduce functions, and slice assignments.

You’ll also learn how to:

  • ​Leverage data structures to solve real-world problems, like using Boolean indexing to find cities with above-average pollution
  • Use NumPy basics such as array, shape, axis, type, broadcasting, advanced indexing, slicing, sorting, searching, aggregating, and statistics
  • Calculate basic statistics of multidimensional data arrays and the K-Means algorithms for unsupervised learning
  • Create more advanced regular expressions using grouping and named groups, negative lookaheads, escaped characters, whitespaces, character sets (and negative characters sets), and greedy/nongreedy operators
  • Understand a wide range of computer science topics, including anagrams, palindromes, supersets, permutations, factorials, prime numbers, Fibonacci numbers, obfuscation, searching, and algorithmic sorting

By the end of the book, you’ll know how to write Python at its most refined, and create concise, beautiful pieces of "Python art" in merely a single line.

Table of contents

Chapter 1: Python Refresher
Chapter 2: Python Tricks
Chapter 3: Data Science
Chapter 4: Machine Learning
Chapter 5: Regular Expressions
Chapter 6: Algorithms

Download Python Cheat Sheets

Github Repository

​Play with the One-Liners &

Visit the Github Repository with All 60 One-Liners in the Book!

​Your Feedback

Do You Have Some One-Liner Ideas or Feedback? Let Me Know!

​I collect some testimonials of the one liner community. Send me your written testimonial or a video testimonial!

Video Tutorials

In the following, I present you my video tutorials---one for each one-liner in the book. Check them out if you didn't understand a one-liner in the book or you need some more clarifications!


​Python Tricks

​Data Science Basics