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Python One-liners by Christian Mayer: New

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eBay item number:284283682826
Last updated on Aug 16, 2025 22:20:54 SGTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Python One-liners
Publication Date
2020-06-02
ISBN
9781718500501

About this product

Product Identifiers

Publisher
No Starch Press, Incorporated
ISBN-10
1718500505
ISBN-13
9781718500501
eBay Product ID (ePID)
11038506110

Product Key Features

Number of Pages
216 Pages
Publication Name
Python One-Liners : Write Concise, Eloquent Python like a Professional
Language
English
Subject
Programming Languages / General, Programming / Open Source, General, Programming Languages / Python
Publication Year
2020
Type
Textbook
Author
Christian Mayer
Subject Area
Mathematics, Computers
Format
Trade Paperback

Dimensions

Item Height
0.5 in
Item Weight
15.6 Oz
Item Length
9.2 in
Item Width
7 in

Additional Product Features

Intended Audience
Trade
LCCN
2020-001449
Dewey Edition
23
Reviews
"A great resource for programmers who want to learn Python or get better with their Python skills." --JustJon
Illustrated
Yes
Dewey Decimal
005.133
Table Of Content
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
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., 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.
LC Classification Number
QA76.73.P98M39 2020

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