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Python One-Liners
Write Concise, Eloquent Python Like a Professional
Por
CHRISTIAN MAYER
Sinopsis
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. Youll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert.
The books 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. Youll learn about advanced Python features such as list comprehension, slicing, lambda functions, regular expressions, map and reduce functions, and slice assignments. Youll 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, youll know how to write Python at its most refined, and create concise, beautiful pieces of "Python art" in merely a single line.
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. Youll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert.
The books 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. Youll learn about advanced Python features such as list comprehension, slicing, lambda functions, regular expressions, map and reduce functions, and slice assignments. Youll 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, youll know how to write Python at its most refined, and create concise, beautiful pieces of "Python art" in merely a single line.
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Ficha Técnica
Editorial: No Starch Press
ISBN: 9781718500518
Idioma: Inglés
Fecha de lanzamiento: 12/05/2020
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