Books

Stop the endless loop of document reviews and start getting clear approvals. This professional guide provides a simple, battle-tested framework for project managers who want to cut through the noise and get to a firm decision, every time.

LM Studio is a great tool for running LLM models locally on your own computer. Tech overviews and Python examples. Deep dive into using Model Context Protocol (MCP)

The Working Notes complement Applied Data Science for Credit Risk and Probability of Default Rating Modeling with R, offering practice-oriented insights. Based on the author’s GitHub repository, they address real-world challenges and are regularly updated to reflect ongoing developments.

When your database outgrows simple optimizations, it's time to think bigger. Lift the Elephant goes beyond query tuning to reveal actionable strategies for scaling PostgreSQL, from partitioning to high-availability architectures. Built on lessons from scaling Hubstaff, this is your playbook for navigating the challenges of database growth.

The easiest (and shortest) entry point to Event Storming and Domain-Driven Design you will find for free. I designed this book to be as close to a workshop experience as possible, and I did my best to make it so. Instead of focusing solely on abstract concepts, you will follow a real-world case study throughout the chapters.

Unlock your coding potential with brain-based learning strategies! Discover how to:Optimize your study sessions for maximum retentionCreate a personalized learning plan that works for youOvercome 'tutorial hell' and imposter syndromeBuild sustainable habits for continuous improvementLeverage the power of reflection and peer learningTransform your approach to coding education and accelerate your path to becoming a skilled programmer. Are you ready to rewire your brain for coding success?

Looking for ways to kick off your DevOps career? Let's go on a journey together to AWS cloud, Linux, containers, Kubernetes, IaC, and CI/CD pipelines.

Mastering Excel Essentials in 60 minutes

Compilation of best practices for evaluating weak spots in your product and company and fostering a robust security culture within your organization.

Data Mesh is a sociotechnical approach that enables development teams to autonomously carry out data analysis. In this primer, we explain Data Mesh from the engineering perspective.

Crack the really hard topics in Python once for all. And, yes, this book starts each chapter from scratch.

Working with Go effectively, requires proficiency and understanding beyond learning the simple syntax. It can take developers months or even years to acquire this experience, especially those coming from OOP. This book sets out to short-circuit that process and get you there faster! Includes Generics.

Biological Data Science with R covers data manipulation with dplyr, visualization with ggplot2, essential statistics, survival analysis, RNA-seq analysis, phylogenetic trees, predictive modeling and infectious disease forecasting, text mining and natural language processing, and more.

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.

Cheat sheets can be a really helpful resource when you're learning a new language. They remind you of the syntax and concepts you've just learned, so you can focus on writing your own code instead of rereading sections of a book or rewatching parts of a video.