Python Package Development
Learn to create, publish, and manage Python packages on PyPI using pip. Distribute your code worldwide!
Course Content
Python Package Development is an all-levels Udemy course taught by Vinay Phadnis. It runs 1h 44m, is taught in English, and includes a certificate of completion. Learners rate it 4.0 out of 5 from 66 reviews, with 339 students enrolled. It is a paid course, last updated November 2018.
Learn the complete lifecycle of creating and managing Python packages with this comprehensive course! This practical training covers everything from initial development to public distribution.
Here's what you'll master:
Package Building: Understand the fundamental structure of a Python package and adhere to PyPI guidelines for successful publication. We'll delve into best practices for organizing your code for reusability and maintainability.
Comprehensive Documentation: Discover the importance of clear and concise documentation for user adoption. You'll learn to create professional documentation for your Python package using Markdown, including a detailed explanation of Markdown syntax. Make your package easy to understand and use!
Robust Testing: Implement effective testing strategies to ensure your package's reliability. Learn how to test your package locally and write tests to minimize runtime errors, leading to a more stable and dependable product.
Deployment to PyPI: Successfully upload your built package to PyPI (Python Package Index) and PyPI-Test, making it readily available for installation using a simple
pipcommand. Share your work with the Python community!Package Maintenance & Versioning: Learn the essential processes for updating your package and the basics of assigning version names. Keep your package current, secure, and compatible with evolving dependencies.
This course provides a thorough understanding of the entire Python package development lifecycle, equipping you with the skills to confidently create, share, and maintain high-quality Python packages. Ideal for developers looking to contribute to the Python ecosystem or build reusable components for their projects.
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