Data Science

Experience the speed of modern geopolitics. This overview details the NFSI’s 15-minute recalibration cycle and the global data infrastructure powering the NationFiles framework. Check the live data on https://nationfiles.com

The official technical audit for the NFSI. Access the complete formulas, weight matrices, and validation logic behind the NationFiles Stability Index to ensure total transparency. Check the live data on https://nationfiles.com

Discover the logical heart of the NFSI. This paper explains the 3-stage pipeline used to transform heterogeneous OSINT signals into a traceable and auditable geopolitical stability index. Check the live data on https://nationfiles.com

A deep dive into the NationFiles Stability Index (NFSI). Discover how 115+ real-time indicators and the Naciro Intelligence Engine redefine geopolitical risk analysis through transparent, rule-based 15-minute recalibration. Check the live data on https://nationfiles.com

This book is specially written for ML engineers who know what a groupby is but want to know why it's slow and how to fix it; data scientists who understand sentiment analysis but want to see how it connects cleanly to a Pandas pipeline; and data engineers who ship Pandas code to production and need to know which patterns will break on Pandas 3.0 and which are safe.

Most analytics books teach tools first and thinking later. Data Analytics Foundations reverses that order — building the judgment, technical skills, and communication discipline required to transform raw data into trusted decisions. From spreadsheets and SQL to data quality, visualization, and analytical reasoning, this book equips readers with a complete foundation for professional analytical practice.

Most data modelling books teach you the craft. This one teaches you the reality. Seven chapters of honest, practical guidance from real project experience — covering conceptual modelling, governance, enterprise challenges, and the human side of data work that nobody else writes about.

In a world of infinite AI-generated text, fluency is no longer a credential—trust is. Learn how to engineer "signal" into your technical writing and build an authoritative presence that algorithms can't replicate. This is the definitive practitioner’s guide for publishing in the AI era.

You are not bad at data. Your work has outgrown the shape of Excel. This book helps finance, HR, operations, reporting, and business analysis professionals replace manual spreadsheet survival with calmer, reusable workflows in R.

Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.

A hands-on guide to building, scheduling, and deploying data pipelines with Apache Airflow 2.x from scratch to AWS MWAA production deployment.

If machines are ever going to think, they have to do more than process data — they have to understand it.Integrating Data Fusion and Cognitive Architectures: Volume I – Foundations and Mechanisms is the blueprint for that transformation. It bridges two worlds that have lived apart for decades: the hard mathematics of sensor fusion and the structured reasoning of cognitive science. The result? A unified system that can perceive, reason, and adapt — not someday, but now.

Introducing Data Analytics and Data Processing Essentials: Unlocking Visualization, SQL, and AI Techniques for Modern Data Science—your comprehensive guide to navigating the fast-paced world of data analytics. Whether you're just starting or looking to elevate your skills, this book provides the essential knowledge and practical tools you need to thrive in today’s data-driven industries.

Master the art of AI interaction with 22 proven prompting techniques, real code examples, and production-tested strategies. From the creator of GitHub's most-starred prompt engineering repository (7,100+ stars).