E: Scientific coding

	About	Questions	Video Intro	Reading	Aalto
E60 Modular code development	Break your large programs into small problems by separating aspects of desired functionality to different sub-modules.	>How to divide code into independent modules? >What are pure functions like?	>Python example of breaking code into small components	>Lesson on Modular code development by CodeRefinery
E61 Software testing	It is important to ensure that your program performs effectively and without failures. Adding tests for your software can save a lot of your time later.	>How to test code on different levels? >What kind of testing tools are there?	>Software testing fundamentals by Software Carpentry	>Lesson on testing by CodeRefinery
E62 Profiling	Code efficiency is critical especially in HPC. Learn to measure the performance of your programs.	>What is profiling used for?	>Profiling Python code with cProfile	>Profiling tools for Linux >Profiling for C and Python >An intro article on Ruby and Python’s profilers	Triton profiling guide
E63 Debugging	Detect, investigate and resolve bugs.	>How to debug different types of errors?	>Debugging strategies	>Debugging in a nutshell. >See Triton’s debugging guide >A hands-on tutorial on pdb debugger
E02 Software Licensing	Sharing your work can be very beneficial. Take a look at social coding and software licensing.	>What is free software? >Why should you share your code?	>Brief introduction to differences between open and closed source software	>Lesson on social coding by CodeRefinery >Brief guide to licensing
E04 Documentation	Document your project so other people can easily use the code and even contribute to it.	>What should be included in a documentation?	>Documentation with Sphinx	>Tools for documentation >CodeRefinery lesson on documentation
E03 Reproducible research	How different tools can improve reproducibility.	>Which tools can help with reproducibility?	>What is reproducible research	>Lesson by CodeRefinery