ENGLISH

python One-liners

Book information

Publisher
No Starch Press
Year
2020
ISBN
1718500505, 9781718500501, 2020001449, 2020001450, 9781718500518
Language
english
Format
PDF
Filesize
6 MB (6671216 bytes)
Pages
278\278
Time added
2020-07-04 06:16:13

Description

Title Page Copyright Page Dedication About the Author About the Technical Reviewer Brief Contents Contents in Detail Acknowledgments Introduction Python One-Liner Example A Note on Readability Who Is This Book For? What Will You Learn? Online Resources 1 Python Refresher Basic Data Structures Container Data Structures Control Flow Functions Lambdas Summary 2 Python Tricks Using List Comprehension to Find Top Earners Using List Comprehension to Find Words with High Information Value Reading a File Using Lambda and Map Functions Using Slicing to Extract Matching Substring Environments Combining List Comprehension and Slicing Using Slice Assignment to Correct Corrupted Lists Analyzing Cardiac Health Data with List Concatenation Using Generator Expressions to Find Companies That Pay Below Minimum Wage Formatting Databases with the zip() Function Summary 3 Data Science Basic Two-Dimensional Array Arithmetic Working with NumPy Arrays: Slicing, Broadcasting, and Array Types Conditional Array Search, Filtering, and Broadcasting to Detect Outliers Boolean Indexing to Filter Two-Dimensional Arrays Broadcasting, Slice Assignment, and Reshaping to Clean Every i-th Array Element When to Use the sort() Function and When to Use the argsort() Function in NumPy How to Use Lambda Functions and Boolean Indexing to Filter Arrays How to Create Advanced Array Filters with Statistics, Math, and Logic Simple Association Analysis: People Who Bought X Also Bought Y Intermediate Association Analysis to Find Bestseller Bundles Summary 4 Machine Learning The Basics of Supervised Machine Learning Linear Regression Logistic Regression in One Line K-Means Clustering in One Line K-Nearest Neighbors in One Line Neural Network Analysis in One Line Decision-Tree Learning in One Line Get Row with Minimal Variance in One Line Basic Statistics in One Line Classification with Support-Vector Machines in One Line Classification with Random Forests in One Line Summary 5 Regular Expressions Finding Basic Textual Patterns in Strings Writing Your First Web Scraper with Regular Expressions Analyzing Hyperlinks of HTML Documents Extracting Dollars from a String Finding Nonsecure HTTP URLs Validating the Time Format of User Input, Part 1 Validating Time Format of User Input, Part 2 Duplicate Detection in Strings Detecting Word Repetitions Modifying Regex Patterns in a Multiline String Summary 6 Algorithms Finding Anagrams with Lambda Functions and Sorting Finding Palindromes with Lambda Functions and Negative Slicing Counting Permutations with Recursive Factorial Functions Finding the Levenshtein Distance Calculating the Powerset by Using Functional Programming Caesar’s Cipher Encryption Using Advanced Indexing and List Comprehension Finding Prime Numbers with the Sieve of Eratosthenes Calculating the Fibonacci Series with the reduce() Function A Recursive Binary Search Algorithm A Recursive Quicksort Algorithm Summary Afterword Index

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