useful_links.md

This is a set of useful links

Professional

• Individual Development Plan: https://myidp.sciencecareers.org/

Programing

Git

• Interactive introduction to GIT: https://www.codecademy.com/learn/learn-git
• Gits manual: http://gitref.org/index.html

Python

• Introductory course focusing on data scinece: https://www.datacamp.com/courses/intro-to-python-for-data-science
• Interactive introduction to python: http://learnpython.org/
• Introductory book on python 3: http://www.diveintopython3.net/
• Introduction to the scientific computing libraries: http://www.scipy-lectures.org/
• Code style guide: https://www.python.org/dev/peps/pep-0008/
• Google’s Python Style guide: https://google.github.io/styleguide/pyguide.html

Useful Python Packages

• Tabular data API: http://pandas.pydata.org/
• Core graphing library: https://matplotlib.org/
• Matrix: http://www.numpy.org/
• Scientific computing (i.e., linear algebra): https://www.scipy.org/scipylib/index.html
• Machine learning: http://scikit-learn.org/stable/

R

• Data Visualization with R: http://blog.revolutionanalytics.com/2017/09/data-visualization-for-social-science.html

Vim

• http://derekwyatt.org/vim/tutorials/novice/
• http://derekwyatt.org/vim/tutorials/intermediate/
• http://derekwyatt.org/vim/tutorials/advanced/
• https://github.com/jfear/dotneovim
• https://stackoverflow.blog/2017/05/23/stack-overflow-helping-one-million-developers-exit-vim/
• http://www.openvim.com

UNIX

• http://www.datacarpentry.org/shell-genomics/lessons/
• https://github.com/stephenturner/oneliners

Blogs

Python

• http://tomaugspurger.github.io/
• https://chrisalbon.com/

Random Stuff

• http://www.bioinformaticszen.com/