Python 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 learnhow to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert. Th...

Full description

Bibliographic Details
Main Author: Mayer, Christian
Format: eBook
Language:English
Published: No Starch Press 2020
Edition:1st edition
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
LEADER 02473nmm a2200241 u 4500
001 EB001941878
003 EBX01000000000000001104780
005 00000000000000.0
007 cr|||||||||||||||||||||
008 210123 ||| eng
020 |a 9781718500501 
100 1 |a Mayer, Christian 
245 0 0 |a Python One-Liners  |h [electronic resource]  |c Mayer, Christian 
250 |a 1st edition 
260 |b No Starch Press  |c 2020 
300 |a 216 pages 
041 0 7 |a eng  |2 ISO 639-2 
989 |b OREILLY  |a O'Reilly 
500 |a Mode of access: World Wide Web 
500 |a Made available through: Safari, an O’Reilly Media Company 
856 4 0 |u https://learning.oreilly.com/library/view/-/9781098122676/?ar  |x Verlag  |3 Volltext 
082 0 |a 000 
520 |a 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 learnhow 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