Resources to learn how to manage corpus with Python.
-
Download Miniconda, a small version of Anaconda with conda, Python, and some useful packages:
https://docs.conda.io/en/latest/miniconda.html -
Get a clone of this repository:
$ git clone https://github.com/Alex-bzh/compuling.git
$ cd compuling
- Run JupyterLab in its own environment:
$ conda env create -f environment.yml
$ conda activate compuling
$ jupyter-lab
- First, check that Python is installed:
$ which python
If not, donwload the latest version: https://www.python.org/downloads/
- Check the version of your Python distribution (at least 3.7):
$ python -V
If your version is older than 3.7, you may have a specific python3.7
binary:
$ which python3.7
If so, note the path and link it with the python
command:
$ ln -s PYTHON3.7_PATH python
- Be sure to have the latest version of
pip
, the Python package manager:
$ python -m pip install --user --upgrade pip
- As
venv
is already included in the Python standard library, you just need to install a new virtual environment:
$ python -m venv tal-ml
- Activate your environment:
$ source compuling/bin/activate
To leave you environment, just run the command deactivate
.
With pip
, install all the requested packages into your environment:
$ python -m pip install -r requirements.txt
Simply run JupyterLab with a clone of this repository:
$ git clone https://github.com/Alex-bzh/python-M1TAL.git
$ cd python-M1TAL
$ jupyter-lab