Frameworks installation #1
Description
Any issues concerning installation can be posted here.
In this course, we'll use the following technology stack for numerical computation
- Git (version control)
- Docker (containers) only if you decide to work with it.
- Python + virtualenv / Anaconda
- jupyter (colab ?) notebooks
- numpy + scipy (matrices)
- scikit-learn (ml algorithms + pipelines)
- matplotlib (plotting)
- pandas (low scale data processing)
- probably? tensorflow and/or pytorch. (symbolic computation engine)
A simple roadmap to installing them can be found here -
- GIT
- Docker, Docker tutorial
- Python, Python tutorial + virtualenv, Anaconda, Anaconda tutorial, virtualenv tutorial
- numpy, scipy, scikit-learn, matplotlib, pandas are already included in anaconda distribution, you can install them separately with pip (see python + virtualenv tutorials)
- tensorflow, pytorch
The frameworks can be easily installed on Mac OS and Linux. Windows installation is, a bit tougher, so if you don't feel like it, try using docker (e.g. kitematic gui or console on windows).
If you run into any trouble, feel free to post here, even if it's like "i don't know what the hell all these letters mean!!!".