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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

An innovative, learn-by-doing textbook that teaches how to design for the web while engaging a critical lens on the technoculture that sustains it. Critical web design, like critical design, employs a social usefulness to challenge the ways technology enters our lives. It reclaims the mechanisms, tools, and practices used to produce coercive and commercial interfaces, harnessing the power of design and networked information to question preconceptions about the medium itself. This engaging, practical textbook explores how to design for the web while maintaining a critical understanding of the technoculture that sustains it. Motivated by new media art practices and speculative design, xtine burrough and Owen Mundy teach readers to conceptualize, design, and program responsive websites as both an applied and creative practice, making professional front end development tools accessible to all. <ul><li>Learn-by-doing approach builds technical skills in interface design, usability/accessibility, and coding in HTML/CSS and Javascript</li><li>Historical, political, and philosophical context relates the “why” argument for learning to code</li><li>Case studies and interviews with artists and designers bring ideas to life</li><li>Supplemental resources include code, exercises, and demonstrations</li></ul>

Critical Web Design

Python for Accounting and Finance: A Mind-Mapping Approach is an innovative textbook written for accounting and finance students and professionals with no prior coding experience. It introduces Python programming through a mind-mapping approach that presents complex concepts in a clear and structured way to support understanding and retention.The book is organised into four parts: Python Basics, Data Analysis and Visualisation, Automation, and Machine Learning. It places programming within practical accounting and finance contexts so that learners can see the direct application of coding in their field. The textbook uses mind maps as a core instructional method. These visual diagrams show programming concepts and their connections, helping learners to understand, organise and recall information, particularly those who learn through visual representation.Enhanced with Google Colab notebooks, this book creates a highly supportive learning experience, equipping students of accounting and finance with essential programming skills for their speciality.

A Mind-Mapping Approach

Python for Accounting and Finance

Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams still struggle to avoid these issues--especially when their data is sourced from upstream workflows outside of their control. The solution: data contracts. Data contracts enable high-quality, well-governed data assets by documenting expectations of the data, establishing ownership of data assets, and then automatically enforcing these constraints within the CI/CD workflow. This practical book introduces data contract architecture with a clear definition of data contracts, explains why the data industry needs them, and shares real-world use cases of data contracts in production. In addition, you'll learn how to implement components of the data contract architecture and understand how they're used in the data lifecycle. Finally, you'll build a case for implementing data contracts in your organization. Authors Chad Sanderson, Mark Freeman, and B.E. Schmidt will help you: <ul><li>Explore real-world applications of data contracts within the industry</li> <li>Understand how to apply each component of this architecture, such as CI/CD, monitoring, version control data, and more</li> <li>Learn how to implement data contracts using open source tools</li> <li>Examine ways to resolve data quality issues using data contract architecture</li> <li>Measure the impact of implementing a data contract in your organization</li> <li>Develop a strategy to determine how data contracts will be used in your organization</li></ul>

Developing Production Grade Pipelines at Scale

Data Contracts

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++

Leveraging AI for Enhanced Financial Planning and Analysis

Smart Finance

How the original ELIZA chatbot transformed ideas about AI and society’s response to them. As we reach the 60th anniversary of ELIZA’s public debut, Inventing ELIZA offers the first comprehensive critical analysis of Joseph Weizenbaum’s groundbreaking chatbot system through the lens of critical code studies. Drawing on extensive archival research at MIT, Stanford, and UCLA, this book presents the rediscovered original source code of ELIZA alongside previously unseen scripts that had been missing for decades, revealing a far more sophisticated system than previously documented. Sarah Ciston, David Berry, Anthony Hay, Mark Marino, Peter Millican, Arthur Schwarz, Jeff Shrager, and Peggy Weil trace ELIZA’s development (1965–1968), revealing that Weizenbaum created a chatbot within a conversational programming environment with previously unknown innovations well ahead of its time. Through close reading of both code and paratexts, the book reconstructs ELIZA’s conceptual evolution and situates it within the historical context of early AI development. The book’s website, https://findingeliza.org, includes a faithful recreation of the first chatbot and news about continued research.

How the First Chatbot Shaped the Future of AI

Inventing ELIZA

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

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

An accessible walkthrough of one of the world's most popular programming languages: C++ C++ For Dummies is your from-scratch guide that explains the essentials of what you need to know to understand the language and build your very first program in C++. Bradley Jones, experienced programmer and coding educator, packs this edition with examples and clear demonstrations that explain the "why" and the "how" of programming in C++, as well as the programming concepts that will form the foundation of your code, including classes, loops, classes, objects, inheritance, and more. C++ For Dummies provides easy-to-understand tutorials for the use of C++26 and explains the modern approach to printing and displaying information with the std::print method. It also discusses: <ul> <li>Explanations of features that make C++26 better including modules, smart pointers, concepts, and ranges</li> <li>Walkthroughs of updated libraries for the filesystem, ranges, formatting, time, printing, and more</li> <li>Testing and debugging techniques</li> </ul> Great for programmers, developers, students, or anyone interested in learning to code in C++ who are looking for a straightforward, hands-on approach to the language, C++ For Dummies is an accessible introduction to C++26 that offers readers a reliable head-start to a fun and rewarding skillset.

C++ For Dummies

Independently published

Ship Real Software Without Writing a Single Line: The Non Coder's Playbook for Building Apps, Tools, and Products That Actually Work

Vibe Coding

On today's web, performance isn't just a nice-to-have--it's essential. A slow or unstable experience drives users away, while a fast, reliable one builds trust and keeps them engaged. Web Performance Engineering in the Age of AI is a comprehensive, hands-on guide for developers, technical leads, and performance engineers focused on delivering high-impact, user-first web experiences. Written by Addy Osmani, director at Google Cloud AI, this book combines deep technical insight with a strong emphasis on usability and real-world effectiveness. Through case studies, modern optimization techniques, and a user-centered approach, you'll learn how to identify bottlenecks, debug performance issues, and apply improvements that make a measurable difference. Grounded in current browser internals and performance metrics, this book prepares you to design and maintain faster, more resilient websites at scale. <ul> <li>Understand how users perceive speed--and why it matters</li> <li>Evaluate and improve performance using key metrics</li> <li>Optimize for stability, responsiveness, and load time</li> <li>Identify and address the most common performance bottlenecks</li> <li>Apply real-world strategies that lead to lasting results</li> </ul>

Mastering Speed and Quality for Ai-Generated Applications

Web Performance Engineering in the Age of AI

Aviation Human Factors: Theory, Research, and Applications for Advanced Aviation Systems is a postgraduate textbook designed to address the unprecedented challenges facing contemporary aviation that existing texts fail to cover adequately. The progressive integration of artificial intelligence into flight-critical systems, the emergence of advanced air mobility platforms without established regulatory frameworks, the shift toward single-pilot and reduced-crew operations, and the digital transformation of air traffic management all raise critical questions about human performance that demand rigorous, up-to-date educational resources.This textbook offers operationally grounded coverage of how operators interact with automated systems, maintain situational awareness, preserve manual skills that high automation erodes, and exercise authority over increasingly autonomous technologies. It is built on a fundamental insight that transformed the field: accidents are not primarily the result of individual failure, but of the way systems around individuals are designed, organized, and managed. This realization demanded intellectual courage from investigators and institutional honesty from regulators, particularly in an industry built on professional standards and certification. Over decades, the field has developed the tools and evidence to demonstrate that system design lies at the heart of safety performance rather than human inadequacy.The textbook gives readers the theoretical frameworks, empirical knowledge, and critical thinking skills needed to address the defining human factors questions of next-generation aviation practice, ultimately helping them to understand and improve the conditions under which people can perform safely, sustainably, and with professional dignity. It is for postgraduate students in aviation human factors, aviation safety, aerospace human systems, and related disciplines. It is equally relevant to aviation professionals seeking to deepen their understanding of contemporary human factors challenges.This book will feature instructor PowerPoint slides, chapter summary sheets, case study teaching notes and a research methods resource guide.

Theory, Research, and Applications for Advanced Aviation Systems

Aviation Human Factors

Python Automation For Dummies

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