Python One-Liners 2020 - KING OF EXCEL

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Thursday, September 17, 2020

Python One-Liners 2020

Python One-Liners 2020
Christian Mayer
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.
Categories:
Computers\\Programming
Year:
2020
Publisher:
No Starch Press
Language:
english
Pages:
256
ISBN 10:
1718500505
ISBN 13:
9781718500501
File:
PDF, 3.36 MB
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