
Move beyond exploratory Jupyter notebook scripts to build production-ready Python codebase structures. This course covers essential techniques for crafting reliable, beautiful, and modular functions that enhance software quality and maintainability.
Targeted at intermediate Python developers and data scientists aiming to bridge research code with robust software engineering practices.
You've done your analysis, built your report, and trained a model. What's next? Well, if you want to deploy your model into production, your code will need to be more reliable than exploratory scripts in a Jupyter notebook. Writing Functions in Python will give you a strong foundation in writing complex and beautiful functions so that you can contribute research and engineering skills to your team. You'll learn useful tricks, like how to write context managers and decorators. You'll also learn best practices around how to write maintainable reusable functions with good documentation. They say that people who can do good research and write high-quality code are unicorns. Take this course and discover the magic!
Price
This course is free to enrol.
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