Static in Python Course
This course covers organizing Python modules, managing imports, creating public APIs, building tools for numeric and text statistics, handling edge cases, writing unit tests, using static and class methods, and packaging with documentation and examples.
flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This course teaches you how to organise modules neatly, manage how imports work, and create straightforward public APIs. You will build tools for handling numbers and text statistics, deal with tricky cases securely, and write dependable unit tests. Discover when to apply static methods, class methods, or simple functions, then bundle it all with good documentation and useful example scripts for everyday practical use.
Elevify advantages
Develop skills
- Strong numeric cleaning: clean up None, NaN, and infinities using safe conversion to floats.
- Essential stats in Python: calculate mean, median, minimum, and maximum with proper error management.
- Text handling tools: break down strings into tokens, standardise case, and count words dependably.
- Static versus class methods: select @staticmethod, @classmethod, or regular functions wisely.
- Neat API creation: produce typed documentation, examples, and compact, clearly documented modules.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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