data-science-examples

this repository contains examples of ETL, ML pipeline, ML meta

Run this project repo

You shall able to run this project repo using visio studio code:

1. Please following the following instruction to create a python virtual env
2. Select the python venv as python interpreter in visio studio code

Python VENV

Create a VENV

python3 -m venv /path/to/new/virtual/environment

Create a VENV by python version on MacOSX

cd /usr/local/Cellar/python@3.8/3.8.13/bin
./python3.8 -m venv /path/to/new/virtual/environment

Activate a VENV in console

source </path/to/new/virtual/environment>/bin/activate

Deactivate a VENV in console

(/your/venv): deactivate

Export and Import Libs

export libs from virtual env

python3 -m pip install --upgrade pip
pip3 freeze > requirements.txt

import libs into the VENV

pip3 install -r requirements.txt

References

• find latest python package version on pypi.org: https://pypi.org/