Python One-Liners

Christian Mayer

ISBN 10: 1718500505 / ISBN 13: 9781718500501

Published by No Starch Press,US, 2020

About this Item

Python One-Liners will show readers how to perform useful tasks with one line of Python code. Following a brief Python refresher, the book covers essential advanced topics like slicing, regular expressions, list comprehension, broadcasting, lambda functions, algorithms, logistic regression and more. Each chapter introduces a problem to solve, walks the reader through the skills necessary to solve the problem, then provides a concise one-liner Python solution with a detailed explanation.

Seller Inventory # CIN1718500505G

Bibliographic Details

• Title: Python One-Liners
• Publisher: No Starch Press,US
• Publication Date: 2020
• Language: English
• ISBN 10: 1718500505
• ISBN 13: 9781718500501
• Binding: Paperback
• Condition: Good

About this title

Synopsis

Python programmers will improve their computer science skills with these useful one-liners.

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.

About the Author

Christian Mayer has a PhD in computer science and is the founder of the popular Python site Finxter (https://blog.finxter.com). Mayer is also the author of the Coffee Break Python series.