Building Python Packages for Scale
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Next Start
October 12, 2026
(Offered monthly)Duration
10 Days
ClassroomProgram Fee
$2,500
Exclusive 16% VATOther Dates
November 9, 2026
December 14, 2026
December 14, 2026
Course Description
This comprehensive course provides a practical guide to building, packaging, and distributing Python libraries for professional use. Designed for developers who want to create reusable, installable Python packages, the course covers the complete lifecycle from project structuring and testing to publishing on PyPI and managing private repositories. Participants will learn the tools, techniques, and best practices used by professional Python package maintainers.
The curriculum covers project structure, dependency management, packaging with setuptools and poetry, testing, documentation, versioning, and publishing to PyPI and private repositories. Using a hands-on approach, learners will build a complete Python package from scratch, implement CI/CD pipelines, and publish to package repositories. By the end of the course, participants will be able to create, maintain, and distribute Python packages for internal teams and the open-source community.
Prerequisite note: This course requires solid Python programming knowledge including functions, classes, and modules. Participants should have experience writing Python scripts or small applications and be comfortable with Git and the command line. No prior packaging experience is necessary.
Course Outline
This course is structured into 10 core modules, each carefully designed to build progressively on the previous one.
Learning Outcomes
Technical Skills
- Structure Python projects for packaging.
- Manage dependencies with Poetry and pip.
- Build packages with setuptools and pyproject.toml.
- Write comprehensive tests with pytest.
- Generate documentation with Sphinx and MkDocs.
- Implement semantic versioning.
- Publish packages to PyPI and TestPyPI.
- Manage private package repositories.
- Implement CI/CD for packages (GitHub Actions).
- Maintain and update packages.
Career Benefits
- Build professional, reusable Python libraries.
- Contribute to the open-source ecosystem.
- Improve code sharing and collaboration within teams.
- Develop skills for senior and lead developer roles.
- Build a portfolio of published Python packages.
- Improve employability for backend developer, open-source contributor roles.
- Develop skills applicable to any organization using Python.
Who Should Attend
- Python Developers — Professionals building reusable components.
- Backend Engineers — Individuals creating shared libraries.
- Data Scientists — Professionals packaging ML models and utilities.
- DevOps Engineers — Individuals creating internal tooling.
- Open-Source Contributors — Anyone wanting to publish packages.
- Technical Leads — Managers overseeing package development.
- Students & Career Changers — Learners preparing for Python roles.
- Library Maintainers — Anyone interested in professional Python packaging.
Prerequisites & Requirements
Prerequisites
- Solid Python programming knowledge (functions, classes, modules).
- Experience writing Python scripts or small applications.
- Basic understanding of Git and version control.
- Comfortable working with the command line/terminal.
- Familiarity with virtual environments is helpful.
- No prior packaging experience is necessary.
Requirements
- Laptop with at least 2GB RAM (GB recommended for smoother performance).
- All learning facilities are provided on-site, including high-speed internet, projectors, writing materials, and refreshments.
- Administrative rights on your laptop to install R, RStudio, and necessary packages.
- Sufficient free disk space (at least 2GB) for software installation and project files.
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