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Python Packaging: Create and Publish Your Own Modules

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Python Packaging: Create and Publish Your Own Modules, available at $44.99, has an average rating of 3.55, with 43 lectures, 17 quizzes, based on 58 reviews, and has 602 subscribers.

You will learn about Understand the fundamentals of Python packaging and its importance in software development. Set up a Python development environment with the necessary tools and dependencies. Create Python modules and packages, following best practices and proper structure. Manage dependencies and requirements in Python projects effectively. Build and distribute Python packages for easy installation and usage by others. Publish Python packages to PyPI (Python Package Index) for wider distribution and accessibility. Include non-code files and data in Python packages for complete functionality. Implement versioning and upgrading strategies for packages, ensuring compatibility and manageability. Document Python packages effectively using README files and generate documentation using tools. Package Python modules for different platforms, enabling cross-platform compatibility. Gain practical skills and confidence to create, package, and publish their own Python modules. This course is ideal for individuals who are Python Developers: This course is ideal for Python developers who want to deepen their understanding of packaging concepts and learn how to create and distribute their own Python modules. It will provide them with the skills needed to package their code in a reusable and distributable format, making it easier to share with others. or Software Engineers: Software engineers working with Python will benefit from this course by gaining a comprehensive understanding of packaging techniques. They will learn how to structure their projects, manage dependencies, and distribute their software effectively, improving their overall development workflow. or Open-Source Contributors: Individuals interested in contributing to open-source Python projects will find this course valuable. It will equip them with the knowledge to package their contributions properly, adhere to project guidelines, and collaborate effectively with the open-source community. or Hobbyists and Self-Learners: Python enthusiasts who enjoy coding as a hobby or are self-learners seeking to enhance their Python skills will find this course beneficial. It offers practical knowledge and hands-on experience in packaging, enabling them to organize their code effectively and share their projects with others. or Students and Learners: Students studying Python or related disciplines, such as computer science or data science, can benefit from this course. Packaging is a crucial aspect of software development, and understanding it early on can improve their coding practices and prepare them for real-world projects. or Professionals Transitioning to Python: Professionals from other programming languages who are transitioning to Python will find this course helpful in understanding Python packaging conventions. It will provide them with the knowledge and skills to package their Python projects professionally and align with best practices in the Python ecosystem. It is particularly useful for Python Developers: This course is ideal for Python developers who want to deepen their understanding of packaging concepts and learn how to create and distribute their own Python modules. It will provide them with the skills needed to package their code in a reusable and distributable format, making it easier to share with others. or Software Engineers: Software engineers working with Python will benefit from this course by gaining a comprehensive understanding of packaging techniques. They will learn how to structure their projects, manage dependencies, and distribute their software effectively, improving their overall development workflow. or Open-Source Contributors: Individuals interested in contributing to open-source Python projects will find this course valuable. It will equip them with the knowledge to package their contributions properly, adhere to project guidelines, and collaborate effectively with the open-source community. or Hobbyists and Self-Learners: Python enthusiasts who enjoy coding as a hobby or are self-learners seeking to enhance their Python skills will find this course beneficial. It offers practical knowledge and hands-on experience in packaging, enabling them to organize their code effectively and share their projects with others. or Students and Learners: Students studying Python or related disciplines, such as computer science or data science, can benefit from this course. Packaging is a crucial aspect of software development, and understanding it early on can improve their coding practices and prepare them for real-world projects. or Professionals Transitioning to Python: Professionals from other programming languages who are transitioning to Python will find this course helpful in understanding Python packaging conventions. It will provide them with the knowledge and skills to package their Python projects professionally and align with best practices in the Python ecosystem.

Enroll now: Python Packaging: Create and Publish Your Own Modules

Summary

Title: Python Packaging: Create and Publish Your Own Modules

Price: $44.99

Average Rating: 3.55

Number of Lectures: 43

Number of Quizzes: 17

Number of Published Lectures: 42

Number of Published Quizzes: 17

Number of Curriculum Items: 60

Number of Published Curriculum Objects: 59

Original Price: $59.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand the fundamentals of Python packaging and its importance in software development.
  • Set up a Python development environment with the necessary tools and dependencies.
  • Create Python modules and packages, following best practices and proper structure.
  • Manage dependencies and requirements in Python projects effectively.
  • Build and distribute Python packages for easy installation and usage by others.
  • Publish Python packages to PyPI (Python Package Index) for wider distribution and accessibility.
  • Include non-code files and data in Python packages for complete functionality.
  • Implement versioning and upgrading strategies for packages, ensuring compatibility and manageability.
  • Document Python packages effectively using README files and generate documentation using tools.
  • Package Python modules for different platforms, enabling cross-platform compatibility.
  • Gain practical skills and confidence to create, package, and publish their own Python modules.

Who Should Attend

  • Python Developers: This course is ideal for Python developers who want to deepen their understanding of packaging concepts and learn how to create and distribute their own Python modules. It will provide them with the skills needed to package their code in a reusable and distributable format, making it easier to share with others.
  • Software Engineers: Software engineers working with Python will benefit from this course by gaining a comprehensive understanding of packaging techniques. They will learn how to structure their projects, manage dependencies, and distribute their software effectively, improving their overall development workflow.
  • Open-Source Contributors: Individuals interested in contributing to open-source Python projects will find this course valuable. It will equip them with the knowledge to package their contributions properly, adhere to project guidelines, and collaborate effectively with the open-source community.
  • Hobbyists and Self-Learners: Python enthusiasts who enjoy coding as a hobby or are self-learners seeking to enhance their Python skills will find this course beneficial. It offers practical knowledge and hands-on experience in packaging, enabling them to organize their code effectively and share their projects with others.
  • Students and Learners: Students studying Python or related disciplines, such as computer science or data science, can benefit from this course. Packaging is a crucial aspect of software development, and understanding it early on can improve their coding practices and prepare them for real-world projects.
  • Professionals Transitioning to Python: Professionals from other programming languages who are transitioning to Python will find this course helpful in understanding Python packaging conventions. It will provide them with the knowledge and skills to package their Python projects professionally and align with best practices in the Python ecosystem.

Target Audiences

  • Python Developers: This course is ideal for Python developers who want to deepen their understanding of packaging concepts and learn how to create and distribute their own Python modules. It will provide them with the skills needed to package their code in a reusable and distributable format, making it easier to share with others.
  • Software Engineers: Software engineers working with Python will benefit from this course by gaining a comprehensive understanding of packaging techniques. They will learn how to structure their projects, manage dependencies, and distribute their software effectively, improving their overall development workflow.
  • Open-Source Contributors: Individuals interested in contributing to open-source Python projects will find this course valuable. It will equip them with the knowledge to package their contributions properly, adhere to project guidelines, and collaborate effectively with the open-source community.
  • Hobbyists and Self-Learners: Python enthusiasts who enjoy coding as a hobby or are self-learners seeking to enhance their Python skills will find this course beneficial. It offers practical knowledge and hands-on experience in packaging, enabling them to organize their code effectively and share their projects with others.
  • Students and Learners: Students studying Python or related disciplines, such as computer science or data science, can benefit from this course. Packaging is a crucial aspect of software development, and understanding it early on can improve their coding practices and prepare them for real-world projects.
  • Professionals Transitioning to Python: Professionals from other programming languages who are transitioning to Python will find this course helpful in understanding Python packaging conventions. It will provide them with the knowledge and skills to package their Python projects professionally and align with best practices in the Python ecosystem.

Unleash the full potential of your Python skills and ascend to new heights as a proficient package creator with our comprehensive course on Python packaging. This course is specifically designed for developers across all levels, offering an in-depth exploration of Python packaging. We guide you through the fundamental principles to the intricacies involved in creating, packaging, and distributing your own Python modules.

By enrolling in this course, you can anticipate numerous benefits:

In-Depth Understanding: Grasp the nuances of Python’s modules, scripts, packages, namespaces, and scope, setting a firm foundation for your Python packaging journey.

Practical Skills: Gain hands-on experience in writing and structuring your own Python packages, and learn to package them efficiently for distribution.

Publication Expertise: Understand the process of publishing your Python packages on PyPI, making them available to the global Python community.

Tools Mastery: Get acquainted with critical tools in the Python packaging ecosystem such as pip, setuptools, wheel, and twine, essential for effective package creation and distribution.

Project Documentation: Learn how to effectively manage your project documentation, create compelling README files, and comprehend the significance of software licenses.

Troubleshooting Techniques: Equip yourself with essential strategies to address common challenges that arise during the packaging and distribution process.

Best Practices: Immerse yourself in industry-standard best practices for Python packaging, preparing you for real-world application and efficient package management.

Supplementary Resources: Benefit from our additional resources designed to reinforce your learning and keep you abreast with the dynamic world of Python packaging.

Whether you’re just starting your journey as a Python developer or you’ve got extensive experience, this course provides a holistic, practical understanding of Python packaging. Empower your Python programming capabilities, enhance code reusability, and share your work with the global developer community by learning to publish your own Python packages. Enroll now and accelerate your Python development career to new horizons!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome and Course Overview

Lecture 2: Why is Python Packaging Important?

Lecture 3: The Python Ecosystem and the Role of Packages

Lecture 4: Install python

Lecture 5: Configure our VENV

Lecture 6: Pre-requisites and Course Setup (Python, pip, setuptools, etc.) – Article

Chapter 2: Python Programming Foundations

Lecture 1: Functions in Python: Definition and Usage

Lecture 2: Modules and Packages: Organizing Code

Lecture 3: Understanding Python Classes and Objects

Chapter 3: Introduction to Python Modules

Lecture 1: Understanding Python Modules

Lecture 2: Importing Modules: import Statement and from…import Statement

Lecture 3: Importing Modules: import Statement and from…import Statement – Code

Lecture 4: The if __name__ == "__main__" Statement in Python Modules

Lecture 5: The if __name__ == "__main__" Statement in Python Modules – Code

Chapter 4: Understanding Python Packages

Lecture 1: From Modules to Packages: An Introduction

Lecture 2: What is a Python Package?

Lecture 3: What is a Python Package? – Code

Lecture 4: Python Package Structure

Lecture 5: Python Package Structure – Code

Chapter 5: Creating a Python Package

Lecture 1: Planning your Python Package

Lecture 2: Setting up the Directory Structure

Chapter 6: Advanced Packaging Concepts

Lecture 1: The setup.py File in Depth

Lecture 2: Understanding the Manifest.in File

Chapter 7: Readme, License, and Code of Conduct

Lecture 1: Importance of Good Documentation

Lecture 2: Creating an Effective README

Lecture 3: Basic Markdown syntax for README – Code

Lecture 4: Understanding Software Licenses

Chapter 8: Virtual Environments

Lecture 1: Creating and Using Virtual Environments using venv

Lecture 2: Lets create our own venv – Code

Chapter 9: Testing Your Package Locally

Lecture 1: Why is Testing Important?

Lecture 2: Installing Your Package Locally

Lecture 3: Installing Your Package Locally – Code

Lecture 4: Writing and Running Unit Tests for Your Package

Chapter 10: Publishing Your Modules and Packages

Lecture 1: An Overview of PyPI – Practical

Lecture 2: An Overview of PyPI

Lecture 3: Uploading Your Module to PyPI

Lecture 4: Understanding and Applying Semantic Versioning

Chapter 11: Maintaining Your Package

Lecture 1: Maintaining Your Package

Chapter 12: Project: Building and Publishing the UdemyCalculator Package

Lecture 1: Designing the UdemyCalculator Package

Lecture 2: Coding the UdemyCalculator Package

Lecture 3: Building and Uploading the UdemyCalculator Package

Chapter 13: Conclusion

Lecture 1: Course Recap and Farewell

Instructors

Rating Distribution

  • 1 stars: 5 votes
  • 2 stars: 5 votes
  • 3 stars: 15 votes
  • 4 stars: 13 votes
  • 5 stars: 20 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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