Python Packaging: Create and Publish Your Own Modules
What you'll 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.
- Basic Python Programming: Students should have a foundational understanding of Python programming concepts, including variables, data types, control flow, functions, and modules.
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!
Who this course is 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.
- 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.
Hello, I'm Idan Chen, a data scientist, and lead researcher based in Israel. I hold a Bachelor's degree in Computer Science and have gained several years of experience working with data, including over 6 years of expertise using Python. Through my work, I have gained extensive knowledge of both SQL and NoSQL database systems and have a deep understanding of libraries such as Pandas.
One of my greatest joys is guiding and teaching others. Over the years, I have had the privilege of helping both individuals and companies to learn more about Python and SQL, providing guidance on concepts and best practices. I am passionate about sharing my knowledge and experience with others and firmly believe that anyone can become a successful data scientist with the right tools and guidance.
Whether you're seeking to improve your data analysis skills, gain more knowledge about machine learning, or dive deeper into Python and SQL, I am here to help. As an instructor at Udemy, I am committed to providing students with the necessary tools to achieve their goals and succeed. I am thrilled to share my expertise with you and help you reach your full potential in the field of data science.