Python Automation for Dummies - Alan Simpson

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Biographie:

Introduction 1

About This Book 1

Foolish Assumptions 2

Icons Used in This Book 2

Beyond the Book 2

Where to Go from Here 3

Part 1: Getting Started with Python Automation 5

Chapter 1: Automating with Python 7

Choosing a Programming Language 8

Understanding Python Syntax 10

Getting Python 11

Identifying the hardware requirements 11

Installing Python 12

Chapter 2: Choosing a Code Editor 15

Installing VS Code 16

Installing Python Extensions 18

Creating a Folder for a New Project 19

Opening a project's folder in VS Code 20

Selecting your Python version 21

Opening the Terminal in VS Code 22

Checking your Python version 23

Using Virtual Environments 24

Creating a virtual environment 25

Activating a virtual environment 26

Installing Modules 28

Writing and Running Python Scripts 30

Writing a Python script 30

Running a Python script 32

Chapter 3: Python Basics for Automation 35

Understanding Python Comments 35

Mastering Variables and Data Types 36

Working with numbers 37

Working with text (strings) 38

Deciding true or false with Booleans 39

Using lists 39

Making immutable lists with tuples 40

Defining key-value pairs in dictionaries 40

Leaving things hanging with None 41

Formatting Output 42

Dealing with Dates and Times 45

Manipulating Data with Operators 47

Using arithmetic and string operators 47

Using assignment operators 48

Recognizing other operators 49

Getting Loopy with Loops 51

Looping with for 51

Looping for a while 52

Bailing out of loops 53

Making Decisions 55

Deciding with if else 55

Compacting decisions with a ternary operator 56

Deciding with match 57

Defining Python Functions 58

Defining default values for parameters 60

Using type hints in Python functions 60

Creating Classes and Objects 61

Handling Exceptions 63

Part 2: Automating Common Computer Tasks 67

Chapter 4: Automating Files and Folders 69

Demystifying the Buzzwords 70

Drives, directories, folders, and files 71

Absolute versus relative paths 72

Backslashes in Windows paths 73

Playing It Safe 74

Navigating Folders and Files 74

Organizing Files by Type 81

Using mkdir for subfolders 86

Moving files with shutil 86

Making the script your own 87

Renaming Files in Bulk 87

Renaming files with Python 90

Using the bulk renaming script 91

Chapter 5: Automating File Management 93

Deleting Old and Temporary Files 93

Identifying old files 96

Matching the file pattern 96

Sending files to the trash 97

Using the deletion script safely 97

Backing Up Files 98

Creating folders from Python 101

Copying files with Python 101

Personalizing the backup script 102

Finding and Removing Duplicate Files 103

Calculating a file hash 106

Finding duplicate files 107

Deleting duplicate files 108

Tweaking the find duplicates script 108

Compressing Files 109

Compressing files with Python 112

Setting your compression parameters 113

Decompressing Files 114

Unzipping files with Python 116

Using the decompression script 117

Chapter 6: Automating Image and Video Files 119

Resizing, Rotating, Flipping, and Cropping Images 120

Resizing images 125

Rotating images 126

Flipping images 126<...

Sommaire:

Streamline Your Workflow and Boost Productivity with Python Automation

In today's workplaces, there's a high demand for know-how on the Python programming language, especially for writing time-saving scripts that can simplify routine work tasks. Python Automation For Dummies delivers, with simple explanations of how you can use Python to automatically wrangle data files, manage media files, create shortcuts, find and organize web data, and even analyze social media for trends. With this easy-to-follow Dummies guide, you can upskill, expand your productivity, and speed up the process of generating data-driven insights. You'll even learn to enhance your Python automations with AI, for workflows that are faster and smarter.

• Review the basics of Python coding and follow steps for automating all sorts of tasks
• Manage large file sets, organize and analyze data, and speed up research processes
• Automate scheduling and other time-consuming tasks--and optimize work with AI
• Free up time and resources by automating routine work, so you can foucs on more important issues

This is a great Dummies resource for Python developers interested in applying the popular coding language to make workflows more efficient....