Multidimensional Analysis WNE University of Warsaw
Multidimensional Analysis in Python and pySTATA.
The fundamentals of statistics followed by supervised and unsupervised methods.
The main focus is to learn how to build a reproducible and high quality scientific reasearch from scratch.
Please check out lectures slides.
Jupyter Notebooks for each lecture.
$ git clone https://github.com/Polkas/multidim
$ # (optional) open multidim directory in VScode
$ # (optional) open (zsh or bash) terminal in VScodeoptional part start - virtual env
$ cd multidim
$ python -m venv .venv
$ # activate is only a one click in VScode
$ # on Mac/Linux
$ source .venv/bin/activate
$ # Windows
$ # useful for Windows https://docs.python.org/3/library/venv.html
$ # PowerShell command POSSIBLY needed -
$ # Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
$ .venv\Scripts\activateoptional part end - virtual env
$ pip install -r requirements.txt
$ pip install ".[all]"
$ # now open any notebook from src/multidim/notebooks in VScode
$ # or use
$ jupyter notebook
$ # when ready to end Ctrl-C
$ deactivateor simply open the github codespaces and go to src/multidim/notebooks
When you want to contribute, then fork https://github.com/Polkas/multidim
$ git clone https://github.com/YOURUSER/multidim
...Please, git pull regulary and pip install ".[all]" might be needed too.
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
multidim was created by Maciej Nasinski and Pawel Strawinski. It is licensed under the terms of the Apache 2.0 license.