BOL

scikit-learn.org - Machine Learning in Python Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable - BSD license More...

liulab-dfci.github.io - This is the course material for STAT115/215 BIO/BST282 at Harvard University. Xiaole Shirley Liu (lead instructor)Joshua StarmerMartin HembergTing WangFeng Yue Ming TangYang LiuJack KangScarlett GeJiazhen RongPhillip NicolMaartin De Vries We...

Commission for Biotechnology & Genetic Engineering ­ Khartoum:...

https://code.golf/ - Code Golf is a game designed to let you show off your code-fu by solving problems in the least number of characters. Since this is your first time here, I suggest starting with something simple like Fizz Buzz.

www.nature.com - Because of the increasing size and inherent complexity of biological data, there has been an increase in the application of machine learning in biology to create useful and predictive models of the underlying biological processes. All machine...

Python projects

Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries. Professionally, Python is great for backend web development, data analysis, artificial...

http://sandbox.bio - Learn how to use bioinformatics tools right from your browser.Everything runs in a sandbox, so you can experiment all you want. More at sandbox.bio

carpentries-incubator.github.io - A lesson introducing the Snakemake workflow system for bioinformatics analysis. Prerequisites This is an intermediate lesson and assumes learners have already done some bioinformatics: Familiarity with the BASH command shell, including...

Perl's second wave of adoption came from the growth of the world wide web. Dynamic web pages—the precursor to modern web applications—were easy to create with Perl and CGI. Thanks to Perl's ubiquity as a language for system...