This comprehensive guide is a result of years of research conducted by biologists and IT experts, including Stefano who was involved in the development of the graduate class Introduction to Scientific Computing for Biologists at the University of Chicago. Our aim is to provide biologists with a toolbox of essential computing skills required to analyze biological data and conduct research. The guide covers various programming languages, statistical analysis, data visualization, and modeling techniques, along with useful tips and tricks. Whether you're a beginner or an advanced user, this guide will help you take your research to the next level.