Python One-Liners

Python One-Liners

Write Concise, Eloquent Python Like a Professional
by Christian Mayer
April 2020 , 216 pages
ISBN-13: 
9781718500501

Look Inside!

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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.

Author Bio 

Christian Mayer has a PhD in computer science and is the founder of the popular Python site Finxter. Mayer is also the author of the Coffee Break Python series.

Table of contents 

Introduction

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

View the detailed Table of Contents
View the Index

Updates 

Please visit the book's companion site for updates and errata.