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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

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

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

Tcl/Tk: A Developer's Guide, Fourth Edition is an essential resource for computer professionals, from systems administrators to programmers. It covers new Tcl features, expanded Tcl-OO coverage, web technology using Rivet and SQLite, and AI integration with AWS. The book also delves into Tcl's standard tools, multi-faceted nature, and extensibility, making it ideal for developing GUIs, client/server middleware, and web applications. Readers will quickly learn to code in Tcl and extend its capabilities with the inclusion of numerous code examples and case studies. The updated edition includes over 150 pages on the latest Tcl extensions, proven techniques, and tools for effective programming. Extensive code snippets and online tutorials enhance understanding, while case studies provide practical insights. The book also discusses Tcl's role as the hidden "secret sauce" in commercial applications, highlighting its graphics and control infrastructure. With a vibrant user community and evolving API, Tcl/Tk remains a powerful and versatile programming platform for both beginners and experienced programmers.

A Developer's Guide

Tcl/Tk

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

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

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>

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

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

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

Your Python code may run correctly, but what if you need it to run faster? This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory behind design choices, this expanded edition of High Performance Python helps experienced Python programmers gain a deeper understanding of Python's implementation. How do you take advantage of multicore architectures or compilation? Or build a system that scales up beyond RAM limits or with a GPU? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for GenAI data extraction, productionized machine learning, and more. <ul> <li>Get a better grasp of NumPy, Cython, and profilers</li> <li>Learn how Python abstracts the underlying computer architecture</li> <li>Use profiling to find bottlenecks in CPU time and memory usage</li> <li>Write efficient programs by choosing appropriate data structures</li> <li>Speed up matrix and vector computations</li> <li>Process DataFrames quickly with Pandas, Dask, and Polars</li> <li>Speed up your neural networks and GPU computations</li> <li>Use tools to compile Python down to machine code</li> <li>Manage multiple I/O and computational operations concurrently</li> <li>Convert multiprocessing code to run on local or remote clusters</li> </ul>

Practical Performant Programming for Humans

High Performance Python

In a world flooded with digital information, the ability to automatically extract meaningful and actionable insights from global news feeds is a critical skill. Extracting Actionable Information from RSS Feeds Using Python and AI offers a hands-on guide for leveraging Python and OpenAI to transform raw RSS content—both in English and non-English languages—into structured, insightful data.

This book walks readers through building intelligent pipelines that go beyond simple feed parsing. Using advanced natural language processing and AI techniques, readers will learn how to extract vital elements from each news article, including:

Author identification

Detailed, AI-generated summaries

Assessment of global, political, and social relevance

Detection of potential threats or risks

Named entity recognition (people, places, organizations)




Whether you're building real-time threat intelligence systems, media monitoring dashboards, or conducting geopolitical analysis, this book equips you with the tools and source code to accelerate your development. Each chapter includes fully functional Python scripts that can be immediately applied or extended to meet specific needs.

Designed for developers, analysts, and technologists, this practical and forward-looking book bridges the gap between unstructured content and actionable intelligence—at the speed of the global news cycle.

What You’ll Learn:

Understand how to collect and process RSS feed data from both English and non-English sources using Python.

Apply OpenAI-powered natural language processing to extract key elements such as author, summary, relevance, and threat indicators from news articles.

Perform named entity recognition (NER) to identify and extract people, places, and organizations mentioned in each article.

Evaluate the geopolitical, social, and political relevance of news stories using AI-driven content analysis techniques.

Utilize and customize the provided Python source code to build or enhance real-time content extraction and analysis tools.




Who This Book Is for:

Primary Target Readers include:

Data Analysts and Intelligence Professionals: Professionals in government, cybersecurity, media monitoring, or corporate intelligence who need to extract and act on relevant news information in real time.

Python Developers and AI Enthusiasts: Intermediate to advanced Python programmers looking to integrate AI for real-world content analysis, especially those interested in OpenAI and natural language processing.

Journalists and Media Researchers: Those seeking to automate content curation, perform author attribution, or assess bias and relevance across diverse news sources globally.

Academics and Students in Data Science, AI, or Digital Humanities: Educators and learners looking for applied projects in NLP, multilingual processing, and AI-driven analysis.

Tech-Savvy Policy Makers and Think Tank Researchers: Readers who monitor emerging global narratives and want automated tools to help assess political, social, and security implications.

In a world flooded with digital information, the ability to automatically extract meaningful and actionable insights from global news feeds is a critical skill. Extracting Actionable Information from RSS Feeds Using Python and AI offers a hands-on guide for leveraging Python and OpenAI to transform raw RSS content—both in English and non-English languages—into structured, insightful data.This book walks readers through building intelligent pipelines that go beyond simple feed parsing. Using advanced natural language processing and AI techniques, readers will learn how to extract vital elements from each news article, including:<ul><li>Author identification</li><li>Detailed, AI-generated summaries</li><li>Assessment of global, political, and social relevance</li><li>Detection of potential threats or risks</li><li>Named entity recognition (people, places, organizations)</li></ul>Whether you're building real-time threat intelligence systems, media monitoring dashboards, or conducting geopolitical analysis, this book equips you with the tools and source code to accelerate your development. Each chapter includes fully functional Python scripts that can be immediately applied or extended to meet specific needs.Designed for developers, analysts, and technologists, this practical and forward-looking book bridges the gap between unstructured content and actionable intelligence—at the speed of the global news cycle.What You’ll Learn:<ul><li>Understand how to collect and process RSS feed data from both English and non-English sources using Python.</li><li>Apply OpenAI-powered natural language processing to extract key elements such as author, summary, relevance, and threat indicators from news articles.</li><li>Perform named entity recognition (NER) to identify and extract people, places, and organizations mentioned in each article.</li><li>Evaluate the geopolitical, social, and political relevance of news stories using AI-driven content analysis techniques.</li><li>Utilize and customize the provided Python source code to build or enhance real-time content extraction and analysis tools.</li></ul>Who This Book Is for:Primary Target Readers include:<ul><li>Data Analysts and Intelligence Professionals: Professionals in government, cybersecurity, media monitoring, or corporate intelligence who need to extract and act on relevant news information in real time.</li><li>Python Developers and AI Enthusiasts: Intermediate to advanced Python programmers looking to integrate AI for real-world content analysis, especially those interested in OpenAI and natural language processing.</li><li>Journalists and Media Researchers: Those seeking to automate content curation, perform author attribution, or assess bias and relevance across diverse news sources globally.</li><li>Academics and Students in Data Science, AI, or Digital Humanities: Educators and learners looking for applied projects in NLP, multilingual processing, and AI-driven analysis.</li><li>Tech-Savvy Policy Makers and Think Tank Researchers: Readers who monitor emerging global narratives and want automated tools to help assess political, social, and security implications.</li></ul>

From Global Headlines to Actionable Intelligence

Extracting Intelligence from RSS News Feeds Using Python and AI

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place. With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. Drawing on the Hugging Face ecosystem, with a focus on clear explanations and real-world examples, the book takes you through cutting-edge tools like Scikit-Learn and PyTorch--from basic regression techniques to advanced neural networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to build intelligent systems. <ul> <li>Understand ML basics, including concepts like overfitting and hyperparameter tuning</li> <li>Complete an end-to-end ML project using scikit-Learn, covering everything from data exploration to model evaluation</li> <li>Learn techniques for unsupervised learning, such as clustering and anomaly detection</li> <li>Build advanced architectures like transformers and diffusion models with PyTorch</li> <li>Harness the power of pretrained models--including LLMs--and learn to fine-tune them</li> <li>Train autonomous agents using reinforcement learning</li></ul>

Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and PyTorch

You've seen what Python can do. Now go deeper. This workbook transforms Al Sweigart’s best-selling guide from a reading experience into a coding experience. Following Automate the Boring Stuff with Python chapter by chapter, this workbook will help you turn concepts into muscle memory through carefully designed exercises, projects, and real Python scripts. Every concept from Automate is reinforced through carefully sequenced questions, exercises, and projects that help you think like a programmer and prove to yourself that you really get it. At the end of each chapter, you’ll tackle miniprojects that bring everything together. Whether you’re renaming files, scraping websites, converting text to speech, modifying spreadsheets, or sending emails, you’ll build scripts that do real work. Fun projects like image generators and word games are in the mix too, not just boring stuff. Every question and project come with a solution at the back of the book, so you’re never stuck. Inside, you’ll find: <ul><li> Fill-in-the-blank and short-answer questions that reinforce key concepts</li><li>Targeted exercises to build fluency with variables, loops, functions, regular expressions, and more</li><li>Real Python scripts to run, tweak, and debug</li><li>Projects that automate common tasks like organizing files, backing up data, and scheduling programs</li><li>Full working code for every project so you can check your work and learn by example</li></ul> With over 500,000 copies sold worldwide, Automate the Boring Stuff with Python has become the go-to guide for learning Python. This workbook gives you the structure, feedback, and smart reinforcement to go from reading code to writing it with confidence.

You've seen what Python can do. Now go deeper. This workbook transforms Al Sweigart’s best-selling guide from a reading experience into a coding experience. Following Automate the Boring Stuff with Python chapter by chapter, this workbook will help you turn concepts into muscle memory through carefully designed exercises, projects, and real Python scripts. Every concept from Automate is reinforced through carefully sequenced questions, exercises, and projects that help you think like a programmer and prove to yourself that you really get it. At the end of each chapter, you’ll tackle miniprojects that bring everything together. Whether you’re renaming files, scraping websites, converting text to speech, modifying spreadsheets, or sending emails, you’ll build scripts that do real work. Fun projects like image generators and word games are in the mix too, not just boring stuff. Every question and project come with a solution at the back of the book, so you’re never stuck. Inside, you’ll find: <ul><li> Fill-in-the-blank and short-answer questions that reinforce key concepts</li><li>Targeted exercises to build fluency with variables, loops, functions, regular expressions, and more</li><li>Real Python scripts to run, tweak, and debug</li><li>Projects that automate common tasks like organizing files, backing up data, and scheduling programs</li><li>Full working code for every project so you can check your work and learn by example</li></ul> With over 500,000 copies sold worldwide, Automate the Boring Stuff with Python has become the go-to guide for learning Python. This workbook gives you the structure, feedback, and smart reinforcement to go from reading code to writing it with confidence.

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Automate the Boring Stuff with Python Workbook

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