Books

If you like Microsoft's Reactive Extensions (Rx) but need more control, this book can teach you how to build all types of dataflow systems using the TPL Dataflow Library that go way beyond the abilities of Rx.

This may be the one tiny book that changes your experience vim from one of "memorizing random key sequences" to "composing vim commands."This is an intentionally small micro-book, not a comprehensive guide to all the features of this amazingly powerful editor. The tutorial can elevate your practice and enable deeper learning and better retention of vim commands. Go from "conversant" to "capable" more rapidly than you expected!

This book gives a brief, but rigorous, treatment of statistical inference intended for practicing Data Scientists.

Scoring Sound covers the basic approaches to sound synthesis, algorithmic composition and instrument design in SuperCollider. This tutorial has been used in workshops around the world for over a decade, and was included in the MIT Press SuperCollider Book.

This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science. Printed copies are available through Lulu.

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.

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).

So you want to learn git? Work through this practical book of explanations and real-world exercises to level up your git skills one at a time.

Data is changing nearly everything about our world, but many people don't know where to start. This book is designed for “non-technical” people (especially students) who want a hands-on introduction to data using free or open tools.

This textbook provides an in-depth analysis on personal finance that is both practical and straightforward in its approach. It has been written in such a way that the readers can gain knowledge without getting overwhelmed by the technical terms. Suitable for both beginners and advanced learners.

The book provides a modern look at introductory Biostatistical concepts and the associated computational tools using the latest developments in computation and visualization in the R language environment. The book includes practical data analysis based on datasets that can be downloaded here: https://github.com/muschellij2/biostatmethods.

The book provides a modern look at introductory Biostatistical concepts and the associated computational tools using the latest developments in computation and visualization in the R language environment. The book includes practical data analysis based on datasets that can be downloaded here: https://github.com/muschellij2/biostatmethods.

Take your first step into the world of computer programming. This book assumes that you don't know anything about writing code, and teaches you the fundamental concepts that programmers use every day. You will need some basic computer skills – like downloading, opening, and saving files – but everything else will be explained here, step by step, starting from the very beginning.

Unlock the secrets to skyrocketing website traffic, mastering SEO, and dominating Google’s first page with practical strategies, expert insights, and long-term growth techniques.