Python Books

If one is reading this, they are likely interested in solving science and engineering problems. They are also likely taking a course that requires them to learn MATLAB. They might ask themselves why they should learn to code, reasoning that if they had wanted to major in computers, they would have. The most obvious reason is that there are almost n

The MongoDB Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow.

Add the power of HDR photography, Full HD video, and AI image recognition to your Raspberry Pi projects with Camera Modules. Give intelligence and depth to your creations, making your projects smarter and more responsive. Plus, the new Al Kit supercharges your Raspberry Pi Camera Module with image recognition, enabling it to act and react to the wo

This book is about dynamic programming and its applications in economics, finance, and adjacent fields. It brings together recent innovations in the theory of dynamic programming and provides applications and code that can help readers approach the research frontier. The book is aimed at graduate students and researchers, although most chapters are

The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental technique

Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third edition - updated for Cassandra 4.0 - provides the technical details and practical examples you

Stephen Davies notes that if this marks the reader's first exposure to data science, they occupy an enviable position, with all the "cool stuff" still ahead of them. He expresses a sense of jealousy but also excitement to explore the field again with the reader. The text states that this field has changed the world on an incredibly short time scale

This book, The Crystal Ball Instruction Manual: Volume Two, Foundations for Data Science, continues the series. The author, Stephen Davies, explains that the first volume was titled "Introduction to Data Science" because it provided an initial, broad tour of the field. He notes that the reader's continued interest indicates a readiness to explore t

The AI Toolkit for IBM Z and LinuxONE is a comprehensive suite of tools designed to streamline the development and deployment of AI models on IBM's enterprise-grade platforms. This toolkit empowers developers and data scientists to leverage the power of IBM Z and LinuxONE systems for AI workloads, offering a seamless integration with popular AI fra