Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's…
An easy-to-follow, illustrated guide to learning the geometry nodes editor and various other facets of geometry nodes through simple exercises…
Transform your machine learning projects into successful deployments with this practical guide on how to build and scale solutions that…
Summary Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding…
This minibook is a comprehensive guide for Python developers who want to learn how to build applications with large language…
Use LLMs to build better business software applicationsAutonomously communicate with users and optimize business tasks with applications built to make…
Messy code is a nuisance. "Tidying" code, to make it more readable, requires breaking it up into manageable sections. In…