Packaging Python projects for distribution
In the Python programming language, packaging a Python software project into a single file means that Python developers can group their Python program source code, dependencies, metadata, and other essential program files so that the existing Python source project can be easily installed, shared, published, or distributed to other software developer users and systems.
For example, instead of sending a Python developer user a folder containing multiple .py extension Python files and indicating how to manually customize or configure everything, Python users can design or develop a package that can then be easily installed with the following Python command statement.
pip install your-package
The Python packaging method is commonly used for both libraries and applications in the Python programming language.
Why package a project in Python?
Source code packaging has several great features or advantages in Python programming.
- It makes it easier to distribute or spread the source code software designed and developed by Python programs.
- It organizes the multiple program source code project files available in Python.
- It records or manages user-designed software project dependencies.
- It helps Python users install existing software using the pip command statement.
- It simplifies managing the latest Python project versions.
- It helps publish Python libraries to package repositories like PyPI.
- It makes it easier to reproduce and maintain Python-based design source code projects.
This is the basic project packaging concept in Python programming.
Basic Python Project
↓
Add package configuration to the Python project source code
↓
Create a distribution file of the Python project source code
↓
Distribute the final Python project source code file
↓
User install it with the Python pip command statement
Types of Projects in Python.
In Python programming, source code projects can be commonly packaged as follows.
Python Library Concept.
A collection of reusable or frequently used program source code in Python programming that other programmers can easily import.
Example of a Python Library.
from test software import plus
Python Based Application.
This is a complete source code program in Python that Python users run as needed.
Example of a Python Based Application.
- Desktop computer-based applications
- Command-line Python applications
- Web-based Python applications
The method of packaging these source files can vary depending on the purpose of the Python software project.
The structure of a typical project in Python source code.
A modern project in Python programming might look something like this:
testproject/
│
├── pyproject.toml
├── README.md
├── LICENSE
├── src/
│ └── testpackage/
│ ├── __init__.py
│ └── total.py
│
└── tests/
└── test_total.py
These are all included as essential files and directories in a Python project.
| File/Directory | What is use or main Purpose |
| pyproject.toml | This file contains project configuration and builds information of your python project |
| README.md | This file contains a detail python software package documentation with other detail |
| LICENSE | This file contains legal software license term and condition |
| src/ | This file contains actual real python source code logic and description |
| tests/ | This file contains automated tests python source code logic and instruction |
| __init__.py | This file contains indicate a traditional python package and can define package-level behavior |
pyproject.toml Concepts with Python.
In Python programming, the pyproject.toml file is an essential feature of modern Python program source code file packaging. Here’s what a Python pyproject.toml file can contain.
- The complete name of your Python project
- The version of the Python source code you’re developing
- Detailed information about the Python project you’re developing
- Detailed information about the design project author
- Essential dependencies of the current project file
- Requirements for the current Python version
- Hardware configuration of the current package build-system
A simple example in Python.
[build-system]
requires = [“setuptools>=61”]
build-backend = “setuptools.build_meta”
[project]
name = “total”
version = “5.0.0”
description = “this is a simple total value project, which plus two numbers”
requires-python = “>=3.14”
Your exact configuration here depends on the build backend and project requirements.
Creating a package in Python programming.
Let’s assume we have a total number value project in Python.
testproject/
└── src/
└── total/
├── __init__.py
└── total.py
total.py
def plus(p, q):
return p + q
def minus(p, q):
return p – q
A package can then be imported in Python programming like this:
from mytotal..total. import plus
print(plus(3, 4))
The output is:
7
Managing Required Dependencies in Python
Most projects in Python programming depend heavily on external libraries, like this:
For example.
import requests
import pandas
For proper functioning of a Python program, the user developer needs to install those packages.
A Python project’s dependencies can be indicated in pyproject.toml.
For example.
[project]
name = “testproject”
version = “5.0.0”
dependencies = [
“requests>=2.0”,
“pandas>=2.0”]
When a package is installed in Python, the Python packaging system can use this information to install the required dependencies.
Build a package in Python.
A basic tool for creating a Python package distribution in Python programming is build.
build.
Install it in Python like this.
python -m pip install build
From the root directory of an existing Python project, run this.
python -m build
This creates distribution files in Python, which are typically displayed in.
dist/
├── total-1.0.0.tar.gz
└── total-1.0.0-py3-none-any.whl
Python program source code distribution.
In Python programming, a program software source code distribution is typically displayed like this:
.tar.gz
This contains all compressed Python program source code files and detailed packaging information.
Example of a compressed file in Python.
total-1.0.0.tar.gz
In Python programming, a package installer can be used to create a project from this source distribution and install it live if needed.
Wheel Distribution Concept in Python.
In Python programming, Wheel is a built-in Python distribution file format.
It typically has an extension in Python package source code.
.whl
Example of Wheel Distribution.
total-1.0.0-py3-none-any.whl
Wheel packages in Python typically allow developer users to install them without requiring them to create a package file from source code.
Installing one of your packages locally in Python.
After creating a project in Python programming, Python users can install Wheel.
pip install dist/total-1.0.0-py3-none-any.whl
The Python user can then import it into Python like this:
from mytotal.total import plus
print(plus(4, 8))
The output is.
12
An editable installation in Python.
During Python project source code development, an editable program source installation is very useful.
From the Python project directory.
pip install -e .
This concept allows Python users to modify source code without having to rebuild and reinstall the source code package after any small modification.
This is a special use case during an active source code development process in Python.
Versioning concept in Python packages.
Every new Python program source code package or distributable package must have its own version information.
For example.
1.0.0
1.2.0
1.3.0
2.0.0
2.3.0
3.1.0
This is a basic method in Python, used in the semantic versioning concept.
MAJOR.MINOR.PATCH.
For example.
3.1.0
│ │ │
│ │ └── Patch
│ └──── Minor
└───── Major
Versioning concept generally.
- MAJOR – Major updates contain incompatible or major modifications.
- MINOR – Minor updates contain new backward-compatible features.
- PATCH – New patches containing backward-compatible bug fixes.
Python project source code README file.
A good Python source code project must have a README.md file.
In general, a README.md file in Python should contain the following information.
- What your Python program source code project does
- Source code software file installation instructions
- Basic software usage
- Some basic examples
- Project software source code requirements
- System hardware installation configuration
- Source code project links to important documentation if needed
Example in Python.
# Mytotal
This provides you with an easy Python total package.
# Installing it in Python
pip install mytotal
## Usage in Python
from mytotal.total import plus
print(plus(3, 4))
Usage in Python A good documentation link makes it easy for other Python users to use the package.
A license file in Python.
A LICENSE file in Python source code indicates how other Python users can use, modify, and distribute the software.
The basic open-source licenses for this Python project include.
- MIT
- Apache 2.0
- GPL
The choice of license for your Python project source depends entirely on your project’s goals and legal requirements.
Testing a Python project before distributing it.
Before packaging or distributing any software program in the Python programming language, manually run its tests.
Testing a Python project example with pytest.
pytest
A basic project in the Python programming language might look something like this.
testproject/
│
├── pyproject.toml
├── README.md
├── LICENSE
├── src/
│ └── testpackage/
│ └── total.py
│
└── tests/
└── test_total.py
The workflow in Python looks something like this.
Write your own Python program source code
↓
Write your own custom test
↓
Run a new Python source code test
↓
Create a Python program package
↓
Install a new Python test
↓
Distribute your final Python project test
Publishing Python to PyPI.
The Python Package Index (PyPI), commonly referred to as PyPI in Python, is a public repository system for the Python library, or the Necessary Python Package Library.
Many essential packages in Python can be installed this way.
pip install package-name
As packages are available in Python through PyPI.
For example.
pip install requests
Uploading packages in Python.
A commonly used tool for uploading packages in Python programming is Twine.
In Python, you can install it this way.
python -m pip install twine
After building the Python project.
python -m build
Here, the Python user will have the files in dist/.
Python users can upload them like this.
python -m twine upload dist/*
To publish a software package in the real world, Python users should first test the package and use the correct PyPI/TestPyPI Python workflow and authentication method.
Python Package Security Concepts.
When distributing Python packages in the Python programming language, the security of these projects is crucial.
Python security includes all security features.
- Always keep the package software dependencies updated and up-to-date.
- Avoid non-essential dependencies in your existing Python project.
- Review the details of any third-party packages you add to your project.
- Keep your existing software project publishing credentials secure.
- Use reliable package sources in source code packages.
- Test your package in detail before publishing.
- Do not include your secure password, API key, or other secrets in the published package.
For example.
Never include this in your Python software source code or publicly distributed source code:
API_KEY = “my-secret-key”
Python packaging vs. creating an executable file.
These two concepts are related in Python, but they are distinct.
Essential Python packages.
In Python, this is commonly done with installing and importing.
pip install mypackage
Example.
from mypackage import something
Executable in Python.
In Python, the executable file is typically run directly.
testprogram.exe
Useful tools like PyInstaller in Python can package an application file into an executable.
Python Package
↓
Install application software with pip
↓
Use/Import a Python package
As in Python.
Python Application
↓
Python Packaging Tool
↓
Create an executable file
↓
Run your final application
Python Package Best Practices.
When packaging projects in Python, keep these things in mind.
- Use a clear project structure – Always keep your Python program source code, tests, and documentation organized.
- Use pyproject.toml – This is the standard configuration point for modern Python packaging.
- Disclose dependencies – Ensure Python users know which external packages are essential to your project.
- Use version numbers – Properly update versions when periodically releasing modifications to your software project.
- Include documentation – A good README.md simplifies installation and use.
- Include tests – Test your project before every Python source code release.
- Use virtual environments – This prevents project dependencies from interfering with other Python projects.
For example.
python -m venv .venv
A complete packaging workflow in Python.
In Python, the steps of this complete process can be indicated as follows.
Python Project
↓
Organize program source code
↓
Add pyproject.toml
↓
Describe your program’s dependencies
↓
Write detailed project documentation
↓
Add app tests
↓
Run a test
↓
Create a Python package
↓
┌────────┴───────┐
↓ ↓
Configure the source distribution wheel
↓ ↓
└────────┬────────┘
↓
Properly check your test installation Do
↓
Distribute/Publish Your Project
Conclusion of Packaging Python Projects for Distribution.
Packaging Python projects in Python source code package distribution means preparing a complete Python-based software project so that other users can easily install it.
The important features of a Python project are.
- Source code – This is the source code of an actual Python implementation method in Python source code.
- pyproject.toml – This contains the details of your Python project and its build configuration.
- Dependencies – This contains the details of external library packages required for your existing Python project.
- README – This contains detailed documentation or instructions for using and installing your existing Python application software.
- Tests – This serves as a validation of your existing Python project.
- Versions – This indicates the version of the application software from old to new for each release in your current test.
- Wheel/Source Distribution – This is the format used to distribute your existing Python project.
A common modern package application workflow in Python.
First, develop your Python project.
↓
Test your Python package source.
↓
Configure the necessary Python file settings.
↓
Build the necessary Python application.
↓
Install/test the existing Python source code application.
↓
Develop your design. Distribute the final project.
Python application packaging in a nutshell.
In Python programming, packaging is the process of modifying or building a Python project from a collection of source code files into a structured, installable, and distributable software package for multiple users.
