An all-in-one toolkit package to easy my Python work in my PhD.
♻️ An all-in-one package for Python work in my PhD
This code is compatible with
If for some reason you have a need for it, create & activate a virtual enrivonment, then install with pip:
> pip install pyhdtoolkit
> git clone https://github.com/fsoubelet/PyhDToolkit.git > cd PyhDToolkit > poetry install
Standards, Testing, Tools and VCS
This repository follows the
make format and lint it (which will format first) with
Testing builds are ensured after each commit through Travis-CI.
You can run tests locally with the predefined
make tests, or through
poetry run pytest <options> for customized options.
Feel free to explore the
Makefile for sensible defaults commands.
You will get an idea of what functionality is available by running
This repository currently comes with an
environment.yml file to reproduce my work
You can install this environment and add it to your ipython kernel by running
You can directly pull a pre-built image - tag
latest is an automated build - from
> docker pull fsoubelet/simenv
You can then run the container to serve as a jupyter server, binding a local directory of notebooks to work on.
Assuming you pulled the provided image from Dockerhub, the command is then (remove the
--rm flag if you wish to preserve it after running):
> docker run --rm -p 8888:8888 -e JUPYTER_ENABLE_LAB=yes -v <host_dir_to_mount>:/home/jovyan/work fsoubelet/simenv
Copyright © 2019-2020 Felix Soubelet. MIT License
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