Books

This book teaches you to use R to effectively visualize and explore complex datasets. Exploratory data analysis is a key part of the data science process because it allows you to sharpen your question and refine your modeling strategies. This book is based on the industry-leading Johns Hopkins Data Science Specialization.

Quantitative finance in Python: a hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples.

This booklet is a concise, practical and visual guide to the software practice of Domain-Driven Design.

A practical book aimed for those familiar with functional programming in Scala who are yet not confident about architecting an application from scratch. Together, we will develop a purely functional application using the best libraries in the Cats ecosystem, while learning about design patterns and best practices.

Discover how Java developers can contribute to a sustainable future. Written by Java Champions and community experts, this collaborative guide explores practical approaches to sustainable software engineering, from resource-efficient design to mindful architecture, empowering you to reduce your environmental impact while building better systems.

Learning a language is easy. However, learning to write a language and writing a language in an optimized way are two different things.

As you apply these incremental refactorings in order, each one building on the last, you will steadily transform your legacy PHP application from a spaghetti mess to an organized, modern, testable application, free of globals and mixed concerns.

You have been using AI as a faster keyboard.The engineers who will define the next decade are using it as a cognitive workforce they direct, constrain, and govern. The gap between those two practices is not a matter of better prompts. It is a matter of an entirely different mental model.This book is that mental model. Built from first principles. Illustrated through 28 chapters of real architectural decisions, real failures, and real production systems.From execution to orchestration. The complete practitioner guide.

In this book you will learn the following: Build Console appsCreate Web APIsTest your codeCreate and publish reusable packages that others can consumeOrganize your files in a projectWork with files and directoriesParse text with the string library and regular expressions.

A Practical Guide to Testing in DevOps offers direction and advice to anyone involved in testing in a DevOps environment. You can read the reviews or check out the Reader Testimonials below.

This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization. Printed versions are available through Lulu (see link below).

Quer aprender Ruby de uma maneira bem direto ao ponto? Esse é o livro que você estava procurando. 

The best compliment a reader can pay your code is not "this is impressive" — it is "this was exactly what I expected." Beautiful but Boring teaches the discipline of writing Python that earns that compliment: precise naming contracts, type annotations that say what a function actually requires, and a framework for maintaining those standards consistently across a codebase, a team, and a career.

Technology doesn't fail companies. Relationships do. Connection is the answer. Twelve Practices, Thirty Six experts. Must Haves for AI success. Backed by evidence not opinion. Results in multiples, not by margins.

A practical, real-world guide to gathering software requirements with clarity, confidence, and precision. Learn proven techniques to eliminate ambiguity, reduce rework, and communicate effectively with clients and teams. Upgrade your skills now and stand out at work before poor requirements keep holding you back.