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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

This book takes a hands-on, simplified approach to building scalable robotic systems using Terraform for infrastructure and Python for logic. This book eliminates unnecessary complexity, offering practical techniques such as storing binary data in Amazon S3 to trigger AI-based workflows-allowing you to move swiftly from prototype to production.


 


In this book, you'll learn how to set up a ROS2-based camera with servo motors, process images using AI models hosted on AWS, and trigger automated actions with Lambda functions and DynamoDB. Each chapter walks you through real-world implementations, providing Terraform code for deploying serverless components. You'll discover how to manage data streams, run AI-powered object detection, and send movement commands to ROS2 devices-all while maintaining a fully integrated cloud-robotics workflow. Rather than isolating cloud and robotics concepts, this book presents a practical, end-to-end approach with code snippets and best practices for seamless deployment.


By the end of this book, you'll have a repeatable framework for using AWS services and AI agents to control and manage ROS2 devices-without the need for complex IoT setups. Whether you're a robotics enthusiast or a cloud developer, you'll gain the confidence to build scalable, cost-effective, real-time robotics applications that respond to real-world events effortlessly.


 


What you will learn:


 How to set up a simplified serverless pipeline using AWS, Terraform, and Python 

 Explore integrating ROS2 devices with AI agents for real-time event handling 

 How to deploy AI-driven object detection and servo control logic 

 How to manage data flows efficiently with minimal overhead 





Who this book is for:


DevOps engineers, robotics enthusiasts, and AI/ML practitioners . Developers looking to integrate ROS2 devices with cloud services. Software architects seeking practical serverless solutions

This book takes a hands-on, simplified approach to building scalable robotic systems using Terraform for infrastructure and Python for logic. This book eliminates unnecessary complexity, offering practical techniques such as storing binary data in Amazon S3 to trigger AI-based workflows—allowing you to move swiftly from prototype to production.&nbsp;In this book, you’ll learn how to set up a ROS2-based camera with servo motors, process images using AI models hosted on AWS, and trigger automated actions with Lambda functions and DynamoDB. Each chapter walks you through real-world implementations, providing Terraform code for deploying serverless components. You'll discover how to manage data streams, run AI-powered object detection, and send movement commands to ROS2 devices—all while maintaining a fully integrated cloud-robotics workflow. Rather than isolating cloud and robotics concepts, this book presents a practical, end-to-end approach with code snippets and best practices for seamless deployment.By the end of this book, you’ll have a repeatable framework for using AWS services and AI agents to control and manage ROS2 devices—without the need for complex IoT setups. Whether you’re a robotics enthusiast or a cloud developer, you’ll gain the confidence to build scalable, cost-effective, real-time robotics applications that respond to real-world events effortlessly.&nbsp;What you will learn:<ul><li>How to set up a simplified serverless pipeline using AWS, Terraform, and Python &nbsp;</li><li>Explore integrating ROS2 devices with AI agents for real-time event handling &nbsp;</li><li>How to deploy AI-driven object detection and servo control logic &nbsp;</li><li>How to manage data flows efficiently with minimal overhead &nbsp;</li></ul>Who this book is for:DevOps engineers, robotics enthusiasts, and AI/ML practitioners . &nbsp;Developers looking to integrate ROS2 devices with cloud services. Software architects seeking practical serverless solutions &nbsp;&nbsp;

Designing Drone Detection and Defense Systems Under Fire

Building Serverless Robotics with AWS, AI, and ROS 2

Put agile techniques into practice to boost your efficiency and effectiveness Agile Project Management For Dummies introduces you to the planning and execution approaches that can help you complete projects more quickly, with higher quality and using fewer resources. For companies in any industry-not just software development-agile project management reduces waste and increases transparency, while addressing customers' ever-changing requirements. This book lays out the principles and practices of agile techniques in jargon-free language that anyone can understand. You'll learn all the important terms, tools, and concepts, so you can infuse agility into your projects right away. Create a product roadmap and prepare for product launches with ease, thanks to this Dummies guide. <ul> <li>Discover why agile techniques are so popular with many of the world's most successful businesses</li> <li>Use agile principles to manage the scope, time, cost, team dynamics, quality, and risk of any project</li> <li>Learn how Inclusion makes organizations more agile, and create an agile-friendly culture of flexibility and productivity within your team and organization</li> <li>Explore how the agile world is changing with new developments like artificial intelligence</li> </ul> Agile Project Management For Dummies is great for project and product managers, as well as anyone in any industry who wants get up to speed on how to be more agile.

Agile Project Management For Dummies

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.

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

Dance with the Dragon “A must-read for any reverse engineer.” ­—Max “Libra” Kersten Developed through more than a decade of research within the NSA, Ghidra was created to address some of the most challenging reverse engineering problems faced by the US government. With its open source release, this formerly restricted tool suite is now freely available to cybersecurity practitioners, researchers, and students worldwide. The Ghidra Book provides a clear, practical guide to understanding and using this powerful platform. In addition to introducing core reverse engineering techniques for software and malware analysis, the book explains Ghidra’s key components, features, and support for extensibility and collaborative analysis. Beginning with the fundamentals and progressing to more advanced workflows, you’ll learn how to use Ghidra effectively and adapt it to new challenges. You’ll learn how to: <ul><li>Navigate and interpret a disassembly</li><li>Use Ghidra’s built-in decompiler to expedite analysis</li><li>Analyze unfamiliar and obfuscated binaries</li><li>Extend Ghidra to recognize new data types</li><li>Build custom analyzers, loaders, and processor support modules</li><li>Script Ghidra tasks to automate analysis tasks</li><li>Set up a collaborative reverse engineering environment</li></ul> This fully revised second edition reflects the modern Ghidra platform as it is used in practice, with updated tooling, improved workflows, and hands-on real-world examples. Designed for beginners and experienced users alike, The Ghidra Book prepares you to tackle real reverse engineering problems with confidence. New to this edition: <ul><li>Behavioral analysis with BSim</li><li>Full Python 3 support via PyGhidra</li><li>Enhanced debugging and graphing tools</li><li>Modern container-based deployment</li></ul>

Dance with the Dragon “A must-read for any reverse engineer.” ­—Max “Libra” Kersten Developed through more than a decade of research within the NSA, Ghidra was created to address some of the most challenging reverse engineering problems faced by the US government. With its open source release, this formerly restricted tool suite is now freely available to cybersecurity practitioners, researchers, and students worldwide. The Ghidra Book provides a clear, practical guide to understanding and using this powerful platform. In addition to introducing core reverse engineering techniques for software and malware analysis, the book explains Ghidra’s key components, features, and support for extensibility and collaborative analysis. Beginning with the fundamentals and progressing to more advanced workflows, you’ll learn how to use Ghidra effectively and adapt it to new challenges. You’ll learn how to: <ul><li>Navigate and interpret a disassembly</li><li>Use Ghidra’s built-in decompiler to expedite analysis</li><li>Analyze unfamiliar and obfuscated binaries</li><li>Extend Ghidra to recognize new data types</li><li>Build custom analyzers, loaders, and processor support modules</li><li>Script Ghidra tasks to automate analysis tasks</li><li>Set up a collaborative reverse engineering environment</li></ul> This fully revised second edition reflects the modern Ghidra platform as it is used in practice, with updated tooling, improved workflows, and hands-on real-world examples. Designed for beginners and experienced users alike, The Ghidra Book prepares you to tackle real reverse engineering problems with confidence. New to this edition: <ul><li>Behavioral analysis with BSim</li><li>Full Python 3 support via PyGhidra</li><li>Enhanced debugging and graphing tools</li><li>Modern container-based deployment</li></ul>

The Definitive Guide

The Ghidra Book, 2nd Edition

As AI continues to speed up software delivery, the need for comprehensive quality assurance has never been greater. This new edition of Full Stack Testing is your essential guide to high-quality software testing across every layer of modern web and mobile applications. Industry expert Gayathri Mohan explores 10 different testing skills across functional and nonfunctional testing and automation, including a focus on adopting AI-driven tools and workflows. This updated edition covers mobile, web, data, security, performance, accessibility, and other testing types and presents concrete strategies, tool selection criteria, and automation techniques proven to scale. Packed with actionable insights and exercises on over 40 testing tools, it prepares readers to build high-quality software immediately in fast-paced, high-stakes environments. <ul> <li>Implement effective testing strategies and test automation across web, mobile, and backend systems</li> <li>Address essential nonfunctional requirements testing such as performance, security, and accessibility, among many others</li> <li>Incorporate AI testing tools for both functional and nonfunctional testing and automation</li> <li>Integrate testing in CI/CD workflows for faster, safer releases</li> <li>Expand your career potential by building a well-rounded testing skill set</li> </ul>

A Practical Guide for Delivering High Quality Software in the Age of AI

Full Stack Testing

Java Generics and Collections has been the go-to guide to generics for more than a decade. This second edition covers Java 21, providing a clear guide to generics from their most common uses to the strangest corner cases, giving you everything you need to know to use and write generic APIs effectively. It covers the collections library thoroughly, so you'll always know how and when to use each collection for any given task. And it explains stream processing, so you'll know which model to use and how they interoperate to get the best out of the platform library. This indispensable guide covers: <ul> <li>Fundamentals of generics: type parameters and generic methods </li><li>Subtyping and wildcards </li><li>Generics and reflection </li><li>Design patterns for generics </li><li>Sets, queues, lists, maps, and their implementations </li><li>Concurrent programming and thread safety with collections </li><li>Performance of different collection implementations </li><li>Best practices for using and extending the Java collections framework </li><li>Design philosophy and comparison with other collections libraries </li></ul>

Fundamentals and Recommended Practices

Java Generics and Collections

The software engineering landscape is constantly evolving, and the demands on engineers intensify with each technological and methodological shift. In such an environment, being a good coder isn't enough--true effectiveness goes beyond technical skills. This book is designed as a guide for individual contributors who want to level up to meet the challenges of a changing industry. Author Addy Osmani offers a trove of actionable insights, real-world examples, practical frameworks, and pragmatic advice drawn from years of experience (and plenty of mistakes) in the software industry. You'll learn the fundamental skills every effective engineer needs, as well as the strategic thinking and leadership that distinguishes senior and staff engineers. The Effective Software Engineer is a perennial resource for those who are committed to the ongoing process of learning, adapting, and striving to make a meaningful difference. <ul> <li>Connect your work to the overall goals of your team and organization</li> <li>Identify the most important tasks and avoid distractions</li> <li>Work effectively with your team, stakeholders, and users</li> <li>Navigate the evolving technology landscape, including AI tools, while focusing on uniquely human contributions</li> <li>Tackle complex challenges and make sound technical choices</li> <li>Stay relevant and adapt to change through continuous learning and growth</li> <li>Balance code quality with delivery speed while managing technical debt strategically</li> </ul>

How ICS at Every Level Can Leverage Ai, Prioritize High-Value Work, and Lead Beyond Their Role

The Effective Software Engineer

Build intelligent applications—no data science degree required. Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You’re in the right place. The Developer’s Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases. By the end of this book, you’ll know how to: <ul><li>Call LLM APIs and stream intelligent responses directly to your UI.</li><li>Engineer prompts that produce reliable, production-ready results.</li><li>Build RAG pipelines using vector databases to give AI access to your private data.</li><li>Fine-tune models with LoRA for specialized tasks like classification.</li><li>Deploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.</li></ul> LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software. Grab your code editor, bring your engineering instincts, and let’s build what’s next!

Build intelligent applications—no data science degree required. Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You’re in the right place. The Developer’s Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases. By the end of this book, you’ll know how to: <ul><li>Call LLM APIs and stream intelligent responses directly to your UI.</li><li>Engineer prompts that produce reliable, production-ready results.</li><li>Build RAG pipelines using vector databases to give AI access to your private data.</li><li>Fine-tune models with LoRA for specialized tasks like classification.</li><li>Deploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.</li></ul> LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software. Grab your code editor, bring your engineering instincts, and let’s build what’s next!

The Developer's Guide to AI

AI can write the code. You still need to know what it does. You’re already good at Excel. But you’re tired of the copy/paste, the helper columns, and the brittle formulas that break when someone adds a row. You want automation, and whether you write the code yourself or let AI generate it, you need to understand what’s actually running your business processes. Automate Excel with Python teaches you to build real workflows, step-by-step. You’ll read messy workbooks into pandas dataframes, filter and reshape data without helper columns, merge sources without silent VLOOKUP failures, and export polished results with formatting intact. A capstone chapter ties it together: import a multi-tab workbook, generate exception reports, and email the results—all from one script you run with a single click. You’ll learn how to: <ul><li>Read existing Excel files you already use into Python, even the messy ones</li><li>Replace daily copy/paste routines with reusable scripts</li><li>Merge and match data across sources with auditable results</li><li>Handle dates, times, and the edge cases that break formulas</li><li>Export from Python to Excel with column widths, number formats, and frozen panes intact</li><li>Build workflows that run daily without babysitting</li></ul> AI can write the code. This book makes sure you’re the one in control of it.

This practical guide will help spreadsheet pros save time and boost productivity using beginner Python tools – without having to become a programmer. Automate Excel with Python bridges the gap between Excel expertise and Python programming without forcing you to start from scratch. Unlike other programming guides, it’s specifically designed for Excel users who need more power and automation, not for professional programmers. This book focuses on enhancing your existing Excel skills rather than replacing them. You’ll learn how Python’s dataframes work like virtual spreadsheets, extending what you already know while automating repetitive tasks. You’ll be able to import and export data seamlessly between Excel and Python to integrate coding into your current workflow. Concise, practical examples throughout will get you up and running quickly. Each topic addresses real problems Excel users face, with solutions you can implement immediately. The structure is deliberately flexible. Chapters progress logically but stand independently, so you can jump to exactly what you need without reading everything that came before. This makes it perfect for solving urgent problems or learning at your own pace. You’ll apply the techniques you learn to automate reports, clean messy data, perform complex calculations, and handle large datasets that would overwhelm Excel alone—all while leveraging your existing spreadsheet knowledge.

A Practical Guide for Nonprogrammers

Automate Excel with Python

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

This book investigates how tools such as Cursor AI, GitHub Copilot, and Replit's Ghostwriter are dismantling traditional barriers to entry for learners-particularly those from non-STEM backgrounds-by enabling natural language code generation, intelligent debugging, and interactive, project-based learning.

Redefining Programming Education Beyond STEM

Beyond Code

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.

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

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