PyPI course curriculum

If you want to use PyPI to its full potential, it can help to have some experience writing Python scripts and programs. You can take Python tutorials offered through edX, or enroll in a technical boot camp to familiarize yourself with the programming language and related topics.

A bachelor’s degree can also help you understand core concepts of programming and data science. Once you know Python, a PyPI course can expand your abilities and open up new career opportunities. 

A beginner PyPI tutorial curriculum may introduce Python and the pip package manager, package installation and usage, and package metadata. With a solid foundation in the basics of PyPI, you can move on to intermediate lessons that can answer questions such as:

• How do you specify a package version? 

• What are dependencies?

• How do you create and upload packages to PyPI?

• What is a source distribution?

• How do you create documentation with tools like Sphinx?

From there, you may want to continue your education and learn even more ways you can leverage PyPI in your career. Advanced topics can delve into themes like package security, formats for distribution packages, and PyPI administration. 

Are you ready to start learning? Explore the educational offerings made available through edX. From master’s degree programs to specialized executive education courses for aspiring leaders, there are many different learning paths and formats available.

Explore jobs that use PyPI

Once you are ready to apply your new skills, careers that can make use of PyPI knowledge include:

• Python developer: Creates software solutions and applications using various programming languages, including Python.^{Footnote 1}

• Data scientist: Analyzes data and identifies useful insights that support crucial business decisions. Python libraries, such as Pandas, can be especially useful within this field.^{Footnote 2}

• DevOps engineer: Assists teams as they streamline their development workflows with custom Python packages.^{Footnote 3}

• Machine learning engineer: Builds models, runs experiments, and develops machine learning algorithms using Python and associated libraries.^{Footnote 4}

• Information security analyst: Develops tools and scripts to scan vulnerabilities, analyze networks, and automate other security operations.^{Footnote 5} Python can assist in performing many of these routine activities, such as malware analysis.

With PyPI, learners can further their careers as Python developers. The repository makes it easy to install and manage projects and reuse code from other developers, saving both effort and time. PyPI also offers a centralized location for software development teams to share and distribute packages, which can improve collaboration. 

It is also important to remember that each of these roles will have different education and skill requirements. For example, you may be able to build relevant skills in a data analytics boot camp, or in a coding boot camp for those seeking to advance their programming skills. However, some employers may seek candidates with a bachelor’s degree in data science or computer science. Research potential roles you would like to pursue before deciding on which learning path will align with your professional aspirations.