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About DataField.Dev

DataField.Dev is a free, open-access textbook library. We publish comprehensive textbooks covering artificial intelligence, sports analytics, prediction markets, COBOL programming, and more. Every textbook is available online at no cost with no sign-up required.

72
Textbooks
21215
Pages
2733
Chapters
Free
Always

Our Mission

We believe high-quality educational content should be freely accessible to everyone. Our textbooks are written to be thorough, practical, and modern, with real code examples, data sets, and exercises. Whether you're a student, self-learner, or professional, our goal is to give you the same depth you'd find in a paid textbook at zero cost.

Our Library

Advanced COBOL 305 sections Advanced Data Science 299 sections AI Ethics 303 sections AI Literacy 173 sections AI & ML for Business 304 sections AI Engineering 306 sections Algorithmic Addiction 303 sections American Government 306 sections Applied Psychology 302 sections Assembly Language 306 sections Blockchain & Crypto 306 sections Calculus 307 sections Automotive Sales 304 sections College Football Analytics 212 sections Creator Economy 318 sections Pattern Recognition 322 sections Cybersecurity 307 sections Digital Forensics 301 sections Data & Society 307 sections Data Viz with Python 268 sections Discrete Mathematics 306 sections Ethical Hacking 318 sections Fandom 331 sections Forensic Science 308 sections Grant Writing 266 sections History of Appalachia 324 sections How Humans Get Stuck 291 sections Handling Confrontation 305 sections How to Learn Anything 298 sections How Your House Works 305 sections IBM DB2 282 sections Insurance Underwriting 307 sections Intermediate COBOL 339 sections Intermediate Data Science 278 sections Intro CS Python 216 sections Intro to Data Science 273 sections Introductory Economics 314 sections Introductory Statistics 226 sections Learning COBOL 322 sections Prediction Markets 315 sections Linear Algebra 307 sections Metacognition 222 sections Media Literacy 313 sections Music Production 312 sections NFL Analytics 182 sections Nuclear Physics 270 sections Organic Chemistry 309 sections Pascal Programming 304 sections Photography 308 sections Physics of Music 315 sections Political Analytics 323 sections Popular Psychology 305 sections Practical Philosophy 288 sections Basketball Analytics 213 sections Soccer Analytics 230 sections Propaganda 304 sections Python for Business 298 sections Quantum Mechanics 304 sections RegTech 306 sections The Science of Cooking 302 sections Science of Seduction 320 sections Sports Betting 322 sections Database Fundamentals 302 sections Technical Writing 309 sections Architecture of Surveillance 304 sections Science of Luck 307 sections Eastern Cultures 302 sections Western Culture 304 sections Vibe Coding 315 sections Video Game Design 309 sections Why They Watch 307 sections Working with AI 316 sections

How the Site Works

All textbooks are authored in Markdown and compiled into a static HTML website. The site uses no frameworks, no databases, and no server-side rendering. Pages are fast, lightweight, and work well on any device. We use a custom Python build system that generates optimized HTML with full SEO, structured data, and accessibility features.

Advertising

DataField.Dev is supported by advertising through Google AdSense. Ads help us cover hosting costs and continue producing free content. We use a cookie consent system so you can choose whether to allow advertising cookies. You can read our full Privacy Policy for details.

Open Access

All content on DataField.Dev is provided as an open educational resource. You are welcome to read, share, and link to any page. We ask that you credit DataField.Dev when referencing our content.

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