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Python Package | How to Create Python Package

Home Page: https://github.com/one-numan/python_package

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code-reuse documentation one-numan python python-package python-packages

python_package's Introduction

Python Package

  • Python packages are fundamental building blocks for writing well-organized and reusable Python code. They provide a way to structure your code into logical modules that can be easily imported and used in other parts of your project, or even shared with others as reusable libraries.
  • InShort - Python Packages are a way to organize and structure your Python code into reusable components

Here's a breakdown of what Python packages are and why they're important:

Components of a Python Package:

  • Modules: Individual Python files (.py) containing functions, classes, and variables that perform specific tasks.

  • __init__.py: An optional file (can be empty) that indicates a directory is a package. It can also contain initialization code for the package.

  • Hierarchical Structure: Packages can contain sub-packages, allowing for further organization and modularity.

Purpose:

  • Modularization: Break down complex projects into manageable, self-contained units, making them easier to understand, modify, and reuse.
  • Code Reuse: Leverage common functions and components across different parts of your application, saving time and effort.
  • Maintainability: Enhance code readability and maintainability by grouping related logic within a package structure.
  • Collaboration: Facilitate teamwork by providing a shared codebase that others can readily import and use.
  • Namespace Management: Avoid naming conflicts with functions or variables from other modules or the built-in Python library.

Benefits:

  • Improved Organization: Keep your codebase well-structured and organized, fostering better understanding and collaboration.
  • Enhanced Reusability: Reduce code duplication and streamline development by leveraging pre-written modules.
  • Simplified Maintenance: Easily modify or update individual components without affecting the entire codebase.
  • Error Reduction: Promote clarity and consistency in coding practices, mitigating the risk of errors.
  • Scalability: Design applications that can grow and adapt effortlessly by adding new modules as needed.

How to make package... (follow)

Steps:

  • Create a Directory: Begin by creating a new directory for your package. This directory name will typically be the name of your package (e.g., my_package).

  • Create Modules: Within your package directory, create individual Python modules (.py files) that contain your reusable functions, classes, and variables. Each module represents a specific functionality or set of related functionalities.

  • __init__.py (Optional): While not strictly mandatory, an empty init.py file within the package directory is a common practice. This file signals to Python that the directory is a package and can be imported. It can also contain initialization code for your package, if needed.

These are my step | How I Build Modules

Importing Package and Calling Modules

  • python_sample_package Folder Name | for Simplicity

    • __init__.py File | Calling Each Modules
    • module1.py File | Define Function Which I will call in app.py
    • module2.py File | Python Sample Package
  • app.py Main File Where I called Function from Modules / Package. app.py File Execution

  • I get the data.

  • I hope this will help for you

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