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Simpson A: Python Automation For Dummies

Python Automation For Dummies

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 Cropping images 127 Customizing the image processor 128 Converting Image File Types 129 Converting files with Python 131 Personalizing the conversion script 132 Extracting Frames from Video Files 133 Importing modules for video extraction 135 Looping through a video 136 Tweaking the video conversion script 138 Chapter 7: Automating Mouse and Keyboard 139 Granting Permissions on a Mac 140 Moving the Mouse, Clicking, Dragging, and Scrolling 141 Understanding screen coordinates 141 Controlling the mouse speed 141 Stopping a wild mouse 142 Finding the screen locations of things 142 Using mouse control with a specific app 144 Trying out mouse control 144 Typing Text with Python 146 Controlling the typing speed 147 Typing long passages of text 147 Pressing special keys 148 Pressing hotkeys 148 Detecting the operating system 149 Detecting Keystrokes 150 Creating Your Own Keyboard Shortcuts 151 Automating Screenshots 155 Taking screenshots with Python 157 Personalizing the auto screenshot script 158 Chapter 8: Automating the Office 159 Automating Microsoft Word 159 Naming your Word document 162 Defining your Word content 163 Automating Microsoft Excel 164 Specifying your workbook 167 Defining content for your workbook 167 Creating and Opening PDFs 168 Defining content for your PDF 172 Identifying your PDF 172 Watermarking PDFs 173 Creating your watermark image 176 Adapting the script to your needs 177 Part 3: Automating the Internet 179 Chapter 9: Interacting with APIs 181 Obtaining API Keys 181 Safely Storing API Keys 182 Creating a .gitignore file 184 Using an API key in your script 185 Handling JSON Data 185 Parsing and serializing JSON data 187 Reading and writing JSON files 188 Understanding REST APIs 190 Making API requests 191 Parsing API responses 193 Reviewing a Complete REST API Script 194 Chapter 10: Automating the Web 197 Automating Web Browsers 197 Loading drivers for your browser 198 Finding text boxes to fill 200 Automating Filling Forms Online 201 Finding a control 203 Submitting a form with Enter 204 Filling Multiple Text Boxes 204 Clicking a form's Submit button 207 Adapting the script to your needs 207 Filling Text Boxes from a File 208 Chapter 11: Scraping Web Pages 213 Picking the Right Tools for Web Scraping 213 Scraping Links from a Web Page 214 Sending a browser header 215 Parsing a web page 216 Extracting Data from a Web Page 217 Finding elements to scrape 218 Scraping data from the page 221 Automating Data Extraction 222 Determining whether a business is open 225 Scraping stock market data 227 Chapter 12: Automating Email and Text Messages 229 Sending Bulk Email Automatically 229 Collecting account information 230 Creating a .env file 230 Creating your email-sending script 231 Sending HTML mail 234 Putting email recipient addresses in a file 235 Automatically Sending Text Messages 236 Storing SMS account information 237 Defining your recipient list and message 239 Storing recipient numbers 239 Chapter 13: Automating Social Media 243 Acquiring API Keys and Modules 243 Automating Posting 244 Setting up your project 245 Making the script your own 249 Creating Content for Your Posts 249 Tracking Performance Metrics 251 Getting Instagram API access 251 Setting up your script 251 Defining your metrics and timeframe 254 Analyzing Trends 255 Viewing the trends 257 Setting your own keywords and timeframe 257 Part 4: Automating More Advanced Stuff 259 Chapter 14: Scheduling Tasks. 261 Using the Schedule Module 261 Understanding how the schedule module works 263 Scheduling tasks for intervals 264 Using the APScheduler Module 265 Using APScheduler with intervals 267 Using APScheduler with dates and times 268 Automating Python Scripts 271 Running scripts as subprocesses 271 Running scripts as imports 274 Chapter 15: Integrating with Artificial Intelligence 277 Accessing Free AI through an API 277 Warming Up to a Local Chatbot 282 Installing and running Ollama 283 Downloading AI models with Ollama 283 Building a simple local chatbot 284 Creating a Conversational Chatbot 287 Developing an AI Image Generator 290 Showing the generated image onscreen 295 Hitting up Hugging Face 301 Part 5: the Part of Tens 309 Chapter 16: Top Ten Zen of Python Guidelines 311 Beautiful Is Better than Ugly 311 Explicit Is Better than Implicit 314 Using type hints 315 Using comments 316 Handling errors 316 Simple Is Better than Complex 317 Complex Is Better than Complicated 320 Flat Is Better than Nested 321 Flattening nested conditionals 321 Using list comprehension 322 Sparse Is Better than Dense 324 Readability Counts 325 Special Cases Aren't Special Enough to Break the Rule 326 Practicality Beats Purity 328 Errors Should Never Pass Silently 329 Chapter 17: Top Ten Python Error Messages 331 Command Not Found 331 No Module Named 333 SyntaxError 334 NameError 335 TypeError 336 IndexError 337 KeyError 339 AttributeError 340 ModuleNotFoundError 342 FileNotFoundError 343 IndentationError 345 Index 347

Whether they're building a startup or scaling an established org, engineering leaders know the real job is keeping chaos under control. In a world of shifting priorities, scarce resources, and rapid change, leadership means embracing the unknown, managing moving targets, and creating clarity where there's none. Sometimes, you're building the plane as you're flying it--writing the roadmap as you go, designing processes in real time. Engineering Leadership: The Hard Parts cuts through the noise, offering a guide for tackling these gritty, real-world challenges. Current and future leaders, this is your toolkit. It's packed with principles, techniques, and mental models for thriving in uncertainty. <ul><li>Navigate the full scope: Step into engineering leadership's complex, multifaceted role</li> <li>Build high-impact teams: Master advanced techniques to grow and lead your technical talent</li> <li>Align and execute: Connect strategy to business outcomes, scale effectively, and balance innovation with precision</li> <li>Lead with resilience: Adapt quickly and drive continuous improvement</li> <li>Accelerate your career: Develop your leadership edge and unlock new growth</li> </ul> Stay ahead. Lead with purpose.

Navigating Chaos to Build Teams That Deliver

Engineering Leadership: The Hard Parts

You know how to code, but you're ready to level up. You've heard about the power and performance of C++, a language vital to fields like AI, game development, and high-performance computing. But where do you even start? Existing resources are outdated or overly academic, or they assume a deep understanding of C. You need a guide that respects your existing skills and gets you coding fast with modern C++. This book cuts through the noise, focusing on the essential elements of C++ with hands-on projects that quickly build your skills and confidence. Author and C++ expert Frances Buontempo gets you up to speed quickly with the latest features and best practices of the language, preparing you for more advanced exploration. <ul> <li>Write clean and efficient C++ code </li><li>Understand core concepts and syntax </li><li>Apply various programming approaches, from OOP to functional styles </li><li>Read and understand complex C++ definitions and resources
</li></ul>

The Easy Way to Start Learning Modern C++

Introducing C++

A no-nonsense guide to all the essentials you’ll need to become a TypeScript wizard and build a TypeScript application from scratch. “An invaluable resource to countless developers.” —Ryan Cavanaugh, Development Lead Microsoft TypeScript Team TypeScript makes JavaScript safer and your editor smarter. Matt Pocock’s Total TypeScript courses have trained thousands of developers by putting the editor first: You learn types by watching what TypeScript tells you, not by memorizing rules. This book brings that method to print. You’ll start by setting up a proper TypeScript environment, then immediately begin writing and annotating code. Each chapter builds on the last—primitive types to unions, objects to classes, basic generics to type transformations—with exercises woven throughout as checkpoints, not afterthoughts. Later chapters tackle what takes longer to learn: deriving types from other types, writing type predicates and assertion functions, configuring the compiler for real projects, and building type architectures that don’t collapse under their own weight. You’ll learn to: <ul><li>Read TypeScript’s error messages and use your editor as a teaching tool</li><li>Write precise types for objects, functions, and classes</li><li>Use unions, narrowing, and generics to make types flexible without losing safety</li><li>Derive and transform types so you don’t repeat yourself</li><li>Configure tsconfig.json for React, Node, or library development</li></ul> This is a workshop in print. The one Matt Pocock has been refining for years.

Total Typescript

To build the future, we need new ways of supporting software teams. This book will give you a secret weapon: the psychology that creates resilience for developers, sustainable practices for software teams, and innovation for organizations. You'll learn from rigorous empirical evidence gathered from top engineering organizations and thousands of developers around the world, revealing powerful principles software teams can use to guard against failure and drive cultures of collaboration and problem-solving.Making incredible software doesn't have to be a death march-this book presents a humane alternative for software teams looking to use the transformative power of behavioral science to understand what drives technology businesses forward. The Psychology of Software Teams provides a model for developers and leaders who want to bring the human back to tech and take a science-based approach to unlocking the "black box" of software engineering.This book is for the developers and builders of the future. Bringing science and heart together, The Psychology of Software Teams will teach you how to untangle your thinking from pervasive myths about software work and harness the superpowers of psychology to create more joyful, innovative, and thriving environments for software.

The Psychology of Software Teams

Sybex Study Guide

The fastest, most effective way to prepare for the GitHub Copilot certification exam and hone your skills with the popular AI-powered programming tool In the GitHub Copilot Certification Study Guide, tech entrepreneur and Pluralsight trainer, Tom Taulli, delivers a concise and accurate walkthrough of the AI-powered programming tool. Perfect for everyone preparing to take the new GitHub Copilot Certification exam, as well as programmers who regularly use the tool in their day-to-day work, this Study Guide helps you optimize your software development workflows, understand the structure of the test, and learn the material covered by it. This book explains every topic covered by the GitHub Copilot Certification exam, including: <ul> <li>Responsible AI</li> <li>GitHub Copilot plans and features</li> <li>The inner workings of GitHub Copilot and how it handles data</li> <li>Prompt crafting and prompt engineering</li> <li>Developer use cases</li> <li>Testing workflows with GitHub Copilot</li> <li>Privacy fundamentals and context exclusions</li> </ul> From step-by-step tutorials of the GitHub Copilot installation process to proven exam-taking techniques from the experts at Sybex, the GitHub Copilot Certification Guide explores everything you need to understand to succeed on the test and improve your on-the-job coding performance. It offers: <ul> <li>Job-ready strategies and techniques for avoiding common generative AI-enhanced programming pitfalls and making use of its many benefits</li> <li>Up-to-date descriptions of the most useful features and functions of GitHub Copilot, including Copilot Edits</li> <li>Complimentary access to a practice Assessment Test, a Practice Exam, 100 digital flashcards, and a glossary of key terms on the Sybex online learning environment</li> </ul> Generative AI tools, like GitHub Copilot, have transformed the software engineering and programming landscapes. If you're preparing for the certification exam, or you wish to expand your AI coding skillset, grab a copy of the GitHub Copilot Certification Study Guide today.

Github Copilot Certification Study Guide

Tech Today

Explore the modern Java development landscape with this expert guide In Real-World Java: Navigating the Java Ecosystem, a pair of seasoned Java developers delivers a concise handbook for mastering the essential tools and frameworks prevalent in today's commercial Java enterprises. Dive into a comprehensive exploration of Spring, logging, IDEs, build tools, testing tools, and other key concepts in the Java ecosystem. With just the right blend of explanation and practical examples, this book equips you with the expertise needed to thrive in enterprise Java development. <ul> <li>Familiarize yourself with technologies like Spring, Open Telemetry, Git, and Project Lombok</li> <li>Access tested and downloadable code examples to reinforce your learning journey</li> <li>Discover how to tune your software's performance and automate your CI/CD builds</li> </ul> Whether you're looking to enhance your proficiency or broaden your horizons in Java development, Real-World Java is your go-to companion. Perfect for developers already somewhat familiar with the language, this book offers insights and strategies to navigate the complexities of contemporary Java software development.

Helping You Navigate the Java Ecosystem

Real-World Java

Learning AutoML is your practical guide to applying automated machine learning in real-world environments. Whether you're a data scientist, ML engineer, or AI researcher, this book helps you move beyond experimentation to build and deploy high-performing models with less manual tuning and more automation. Using AutoGluon as a primary toolkit, you'll learn how to build, evaluate, and deploy AutoML models that reduce complexity and accelerate innovation. Author Kerem Tomak shares insights on how to integrate models into end-to-end deployment workflows using popular tools like Kubeflow, MLflow, and Airflow, while exploring cross-platform approaches with Vertex AI, SageMaker Autopilot, Azure AutoML, Auto-sklearn, and H2O.ai. Real-world case studies highlight applications across finance, healthcare, and retail, while chapters on ethics, governance, and agentic AI help future-proof your knowledge. <ul> <li>Build AutoML pipelines for tabular, text, image, and time series data</li> <li>Deploy models with fast, scalable workflows using MLOps best practices</li> <li>Compare and navigate today's leading AutoML platforms</li> <li>Interpret model results and make informed decisions with explainability tools</li> <li>Explore how AutoML leads into next-gen agentic AI systems</li> </ul>

Automating ML Pipelines with Autogluon, Leading Frameworks, and Real-World Integration

Learning Automl

Banish Your Mouse. The Linux Command Line isn’t just a reference manual. It’s a complete education on how Linux really works. From your first tentative keystrokes to writing powerful shell scripts, you’ll build the confidence and understanding to make your system work for you. Now in its third edition, this best-selling guide has been fully updated with modern examples, nearly 40 pages of new content, and downloadable scripts from LinuxCommand. Used in more than a thousand classrooms and libraries worldwide, it has helped over 150,000 readers gain fluency and confidence in Linux. Author and command line guru William Shotts delivers not just commands, but genuine insight, guided by his philosophy: Make everything as simple as possible, but no simpler. Through short, digestible chapters, you’ll learn to: <ul><li>Navigate the filesystem, manage files, and configure your environment</li><li>Chain commands, redirect input/output, and use regular expressions</li><li>Control processes, manage packages, and work with networking tools</li><li>Edit text with Vim</li><li>Write shell scripts to automate tasks and build custom tools</li><li>Use core utilities like grep, cut, sed, and tar to process data</li><li>Manage filesystems and compile programs from source</li></ul> Whether you’re managing servers, studying cybersecurity, or just curious about your computer, The Linux Command Line gives you the knowledge to command your system with confidence.

A Complete Introduction

The Linux Command Line, 3rd Edition

Learn Kotlin Through 37 Projects Kotlin isn’t just for building Android apps. As you’ll learn in Kotlin from Scratch, it’s also a general programming language for crafting both elegant and efficient code. With the aid of 37 hands-on projects, you’ll move quickly through the language basics while building your problem-solving skills, even tackling advanced concepts like fractals, dynamic systems, and nature-inspired algorithms. You’ll explore the way Kotlin handles variables, control structures, functions, classes, and data structures, and you’ll learn to create visualizations using Kotlin and the JavaFX graphics library. Then you’ll build increasingly sophisticated apps to practice what you’ve learned while tackling challenges from math and science to algorithms and optimization. As you progress through the book, you will: <ul><li>Simulate physical systems, like the intricate dance of binary stars</li><li>Implement the classic Hill cipher for encryption and decryption&nbsp;</li><li>Generate beautiful fractals with recursive algorithms&nbsp;</li><li>Program classic computer science algorithms for sorting and searching</li><li>Solve the infamous Berlin52 traveling salesman problem&nbsp;</li></ul> Expand your language repertoire and improve your computational thinking with Kotlin from Scratch.

A Project-Based Introduction for the Intrepid Programmer

Kotlin from Scratch

Good architecture is more than just good code--it's clear communication. The C4 Model: Visualizing Software Architecture is a practical guide to creating diagrams that help teams understand, build, and talk about software systems more effectively. Developed by Simon Brown and used by thousands of teams worldwide, the C4 model breaks architecture down into four simple levels (context, container, component, and code), making it easier to see the big picture and the details. Whether you're onboarding a new teammate, presenting to stakeholders, or just trying to make sense of a complex system, this book shows you how to create visuals that actually make an impact. With approachable guidance, real examples, and tips for tailoring diagrams to different audiences, it's a must-have for any developer or architect who wants to make their ideas easier to understand. <ul> <li>Learn how to apply the C4 model from high-level views to low-level details</li> <li>Create diagrams that support collaboration and clarity across teams</li> <li>Understand who each diagram is from and when to use it</li> <li>Go beyond C4 with other useful visual tools like dynamic views and deployment maps</li> <li>Build better conversations around how your software works and why</li> </ul>

Visualizing Software Architecture

The C4 Model

If you've been curious about artificial intelligence and machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you'll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models' performance. You'll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they're trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You'll conduct experiments along the way, building to a final case study that incorporates everything you've learned. This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects.

A Python-Based Introduction

Practical Deep Learning, 2nd Edition

This set of story-based learning projects links performances and tasks with computing codes to show how a machine translates our goals into its language

Learning through Metaphors

New Storytelling

Python Automation For Dummies

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