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By: Abhin K

How to Create a Python Package & Upload It to Pypip

Technical Odoo 17


Python's ecosystem is rich and vibrant, driven by the collective efforts of developers who share their code through packages. These packages encapsulate functionality, making it reusable across various projects, thereby saving time and effort. The Python Package Index (PyPI) serves as the central repository for these packages, allowing developers worldwide to discover, install, and utilize the wealth of resources available.

In this tutorial, we'll delve into the process of creating your own Python package and making it accessible to others on PyPI. By following these steps, you can contribute to the ever-expanding Python community and empower fellow developers with your innovations.

1. Setting Up Your Project:

First, let's create the structure for our Python package. Open a terminal and create a new directory for your project:

mkdir mypackage
cd mypackage

Inside your project directory, create the following structure:

    +-- mypackage/
    ¦   +-- __init__.py
    ¦   +-- module.py
    +-- README.md
    +-- LICENSE
    +-- setup.py

mypackage/: This is the root directory of your package.

mypackage/__init__.py: This file tells Python that `mypackage` is a package.

mypackage/module.py: This is where you'll put your Python code.

README.md: A markdown file describing your package.

LICENSE: The license for your package.

setup.py: The setup script for your package.

2. Writing Your Code:


Inside mypackage/module.py, write your Python code. For example:

def greet(name):
    return f"Hello, {name}!"

3. Creating the setup.py File:

Create setup.py with the following content:

from setuptools import setup, find_packages
    author='Your Name',
    description='A simple Python package',
        'License :: OSI Approved :: MIT License',
        'Programming Language :: Python :: 3',
        'Operating System :: OS Independent',

The setup function from the setuptools package. setuptools is a library that facilitates packaging Python projects. The find_packages function is also imported from setuptools and is used to automatically discover all packages and modules in your project.

The setup function is called with various arguments, specifying metadata about your package:

name: The name of your package as it will be registered on PyPI. This should be unique.

version: The version number of your package.

packages: A list of all Python packages to include. find_packages() automatically finds all packages and modules in your project.

author: Your name or the name of the package's author.

author_email: Your email address.

description: A short description of your package.

long_description: A longer description of your package, typically loaded from a README.md file.

long_description_content_type: The content type of the long description, which is usually text/markdown for Markdown files.

url: The URL where users can find more information about your package, usually a link to the package's repository.

license: The license under which your package is distributed, for example, 'MIT', 'BSD', etc.

classifiers: Additional classifiers describing various attributes of your package, such as supported Python versions, operating systems, and license types.

By providing this metadata, users can easily understand what your package is about, how to use it, and under what conditions they can distribute or modify it. This information is crucial for users to discover, evaluate, and utilize your package effectively.

4. Adding Documentation:

Write your package documentation in `README.md.`

5. Uploading to PyPI:

Before uploading to PyPI, make sure you have an account on https://pypi.org/. Then, install twine:

pip install twine

Next, build your package:

python setup.py sdist bdist_wheel

This will create distribution files in the dist/ directory.

Finally, upload your package to PyPI using twine:

twine upload dist/*

Congratulations! You've created and uploaded your Python package to PyPI. Now others can install it using `pip install mypackage`. Sharing your code with the community helps to foster collaboration and innovation in the Python ecosystem.

Example Usage:

Once you've uploaded your package to PyPI, you can easily install it into your Python virtual environment (venv) using pip. Here's how you can do it:

pip install mypackage

Replace mypackage with the name of your package. This command will download and install your package along with its dependencies into your current Python environment or virtual environment.

from mypackage.module import greet

This will output: >>> Hello, World!


Once installed, users can easily import and utilize your package's modules and functions within their own codebase. Whether it's a utility for data manipulation, a framework for web development, or a tool for machine learning, your package has the potential to streamline workflows and empower developers to create robust and efficient solutions.

By contributing to the open-source ecosystem, you're not only sharing your expertise and code with others but also inviting collaboration and feedback from a diverse community of developers. Through this collaborative effort, the Python ecosystem continues to evolve and thrive, driving innovation and pushing the boundaries of what's possible in software development.

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