Distribution (Packaging)

Dr. Yves J. Hilpisch | The Python Quants GmbH

Certificate Programs, November 2021

(short link to this Git repository: https://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 https://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.