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| 文件名: Clinton W. Brownley-Foundations for Analytics with Python-O’Reilly Media (2016).pdf | |
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Table of Contents Preface vii CHAPTER 1: 11 Why Read This Book? Why Learn These Skills? 11 Who Is This Book For? 12 Why Windows 13 Why Python 14 Base Python and Pandas 15 Anaconda Python 16 To install Anaconda Python (Windows or Mac) 17 Text Editors 18 Download Book Materials 19 Base Python and Pandas 19 Overview of Chapters 20 CHAPTER 2: Python Basics 25 Running Python in the Shell 25 How To Create a Python Script 25 How to Run a Python Script 27 A few more hints for interacting with the command line 29 Up Arrow for Previous Command 29 Ctrl+c to Stop a Script 29 Read and Search for Solutions to Error Messages 29 iiiAdd More Code to first_script.py 30 Python’s Basic Building Blocks 32 Numbers 32 Integers 32 Floating-point numbers 33 Strings 34 Split 36 Join 37 Strip 38 Replace 39 Lower, Upper, Capitalize 39 Regular Expressions and Pattern Matching 40 Dates 44 Lists 47 Create a list 47 Index values 48 List slices 49 Copy a list 49 IN and NOT IN 50 Append, Remove, Pop 50 Reverse 51 Sorting 52 Tuples 54 Create a tuple 54 >Unpack tuples 54 Convert tuple to list, list to tuple 55 Dictionaries 55 Create a dictionary 56 Keys 56 Copy 57 IN, NOT IN, and GET 57 Sort 59 Control Flow 60 If-Else 60 Table of Contents ivIf-Elif-Else 61 For Loops 61 Compact For Loops: List, Set, and Dictionary Comprehensions 63 While Loops 64 Functions 65 Exceptions 66 Try-Except 66 Try-Except-Else-Finally 67 Reading a Text File 67 Create a text file 68 Script and Input File in Same Location 70 Modern File Reading Syntax 70 Reading Multiple Text Files with Glob 71 Create another text file 72 Writing to a Text File 74 Writing to a Comma Separated Values “CSV” File 76 Print Statements 77 Chapter Exercises: 78 |
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