How To Package Python Code

It is a package management system used to install and manage software packageslibraries written in Python. Then one may ask that where are all these packageslibraries stored? It is obvious that there must be a large quoton-line repositoryquot which stores all this code. And the answer to this question is Python Package Index PyPI. PyPI is the

Python Packaging flow. From source code to python package to public package index to pip install. Packaging in this context means 2 things Building a package distributing the package.

Python is a versatile and widely used programming language, and packaging plays a crucial role in organizing, distributing, and managing Python projects. Whether you are creating a small utility script or a large-scale application, understanding how to package your Python code correctly can simplify development, deployment, and sharing. This blog will delve into the fundamental concepts of

Making your code installable is the first step towards creating a publishable Python package. Once your code is installable, it is a Python package and can be added to any Python environment on your computer and imported in the same way that you might import a package such as Pandas or GeoPandas. If your code is on GitHub or GitLab you can also

These package management tools, operating locally, connect to a source i.e. Python Package Index - PyPI and perform a desired action If you would like to share your code on the Python Packaging Index, you can do so by initiating the quotregisterquot procedure as per the following

Learn how to package your Python code to share it with other developers or end-users. Explore different methods, tools and alternatives for distributing your code on various platforms and formats.

Learn how to create, build, and upload a simple Python project to PyPI using Hatchling or other build backends. Follow the tutorial steps to add files, configure metadata, and test your package.

src A directory containing the actual Python source code. Using src prevents common import issues. mypackage This is your actual Python package directory. The name you import e.g., import mypackage. __init__.py Makes Python treat the mypackage directory as a package. Can be empty or used to define package-level items.

Learn how to create trouble-free packages for community use with pip or easy_install. Follow the steps to specify dependencies, metadata, tests, scripts, and non-code files for your package.

For example, if you import a package like the built-in JSON library, it will load the JSON module's code and analyze any imports found in there. This process repeats until it has all the required files to include.