Skip to content

Latest commit

 

History

History
50 lines (36 loc) · 2.87 KB

README.md

File metadata and controls

50 lines (36 loc) · 2.87 KB
Raw

About

Repository to play with streamlit, loosely following the 30 days challenge at https://30days.streamlit.app/

Dependency management

In my previous projects (open and closed source ones), I've been playing with virtual environments using pip and some custom designed bash scripts to run pip install and also to freeze the dependencies (especially the indirect or transitive ones) in requirements.txt files with the following hierarchy:

  • requirements.in: manually edited, with the package that is required for some new functionality
  • requirements.txt: after compilation of requirements.in using the following command 
    pip-compile --generate-hashes --rebuild --no-strip-extras --emit-find-links ./../../requirements.in
    a requirements.txt is generated and then used afterwards to run all necessary pip install instances
  • requirementsALL.txt: installation of dependencies is done using 
    python -m pip install -r ./../../requirements.txt
    and after installation is complete, all dependencies (direct, indirect and tooling of Python) is frozen as a file in source control system using the following command: 
    python -m pip freeze --all > ./../../requirementsALL.txt

All these steps are performed after the virtual environment is created so that dependencies are properly installed in virtual environment rather than on global Python environment. The detailed configuration can be seen in my sample-python-repo (setup.sh)

While this process works well, I decided to understand the Poetry tool and the following resources were indeed useful:

So this repository represents my first experience with Poetry.

Installing Poetry

There are at least two ways to install Poetry: using pip to install in global Python environment or using PowerShell to install it (in Windows) using the following command:

(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | py -

For more details, see official documentation: Python-Poetry website

Initialization of project

To start using Poetry, it is enough to run (https://python-poetry.org/docs/basic-usage/#project-setup)

poetry new [name_of-the-project]

This command will prepare a folder structure for the project and also to create tests and also create a pyproject.toml file with project's metadata and its requirements.