Distribution (Packaging)
Dr. Yves J. Hilpisch | The Python Quants GmbH
Certificate Programs, November 2021
(short link to this Git repository: http://bit.ly/ts_pack)
You find the slides under:
https://certificate.tpq.io/tools_skills_dist.pdf
This is the rather simplistic packaging example from the Tools & Skills class of The Python Quants.
Using a Docker container should simplify working with the tools presented in this part of the class. You should clone the Git repository via
git clone --depth=1 https://github.com/yhilpisch/packaging
Then navigate to the folder of the Git repository (packaging) and run:
docker run -ti -h tools -p 9999:9999 -v $(pwd):/root/git ubuntu:latest /bin/bash
In the Docker container, to install the tools required execute:
cd /root/git
bash install.sh
The package contains a total of three simple Python files, two of which are in sub-folders/sub-packages, with a single function each.
In addition to the package files, the Git repository contains also other files used for the training session.
On the shell, create an environment with conda:
conda create -n test-pylib python=3.9 ipython
conda activate test-pylib
Clone the Github repository to your local working folder:
git clone --depth=1 http://github.com/yhilpisch/packaging
Navigate to the repository folder and install the package:
cd packaging
python setup.py install
Alternatively, install the pylib package via
pip install git+https://github.com/yhilpisch/packaging.git
You can also install the pylib package via
pip install -i https://test.pypi.org/simple/ pylib
Start a Python interactive session session and e.g. execute:
>>> import pylib
>>> pylib.one(10)
10
>>> pylib.two(20)
40
>>> pylib.three(3)
9
The material is copyright (c) Dr. Yves J. Hilpisch | The Python Quants GmbH. MIT License.
