![]() ![]() Testing - learn how automated testing can make your code more reliable, how to catch bugs before they impact your work, and how to edit code with confidence.Organising and sharing code - learn how Python's module and packaging system works, how to effectively reuse code across multiple projects, and how to share your programs with colleagues and the wider world.Environments for development - learn how you can take advantage of different tools for actually writing code, including those designed specifically for scientific work.How can I speed up the process of writing my code?.How do I share this program with my colleagues?.How can I be sure that my results are correct?.Written by a biologist, it focusses on solving the problems that students and researchers encounter every day: This book introduces the novice biologist programmer to tools and techniques that make developing Python code easier and faster and will help you to write more reliable, performant programs. One of the great strengths of Python is the ecosystem of tools and libraries that have grown up around it. Python is rapidly becoming the standard language for many talks in scientific research, and is particularly popular in biology and bioinformatics.
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