This repository contains materials for the Python neuro-bootcamp, a one-week long class geared towards graduate students and postdoctoral fellows in the Neuroscience Graduate Program at Oregon Health & Science University (OHSU) who have little to no experience in programming. The bootcamp was offered in Winter 2018. It consists of a series of 5 Jupyter notebooks, which work through basic principles of data analysis in Python.
While the bootcamp is not run regularly, these materials provide useful preparation for NEUS 642: Python Programming in Experimental Neuroscience. We recommend that anyone taking NEUS 642 is comfortable working through these notebooks before taking the course.
The materials were originally hosted on a JupterHub server. You can find more information about how we set it up here. However, for independent work, we recommend simply installing Jupter notebook on your local computer via Anaconda.
The overall objectives of the course are:
- build a community of neuroscientists who are committed to help each other and learn together how to code;
- equip students and postdocs with basic knowledge of how to analyze data collected in neuroscience laboratories;
- enhance students' and postdocs' appreciation of how acquiring programming skills will help them in their careers within or outside of academia.
Even people that don’t need to know coding, will benefit from learning the basic skills to be able to communicate with other people in the lab who might code more.
We have a Code of Conduct that everyone who is participating in this course is invited to read carefully. Thank you!
This course was partially funded from a NLM T15 Training Grant supplement: T15-LM007088-23
If you have any questions regarding the structure of this class or comments on the materials, please don't hesitate to contact Daniela at [email protected].