Step-by-step instructions to getting started
- Download and install Anaconda
- Download and install git
- Download and install Spyder from the standalone
- Continue to setup your environment for analyzing IBL data
- Make sure to link Spyder to your
iblenv
conda env: Settings / Python Interpreter / User the following Python interpreter / anaconda3/envs/iblenvs/bin/python
Python and data analysis references
- Know your way around the command line
- Understand what a virtual environment is
- Understand Git and GitHub
- Learn the basics of Python
- Think about the structure of data
- Once your code runs, make it better!
Open data, open code, open science
- Might there be a dataset or a tool out there that does what you need? Check out this list of lists.
Computing resources
For most projects (especially those using behavioral data), your laptop will be more than sufficient to run Python
. If you need more heavy lifting, there are a few options:
- ALICE supercomputer @ Leiden Uni
- LISA / Cartesius clusters @ SurfSara
- Apply through NWO. Very well managed, but since Leiden doesn
’t have a contract with SurfSara you have to apply to extend your account every year.