How anshlambagit/python_beyond_basics works
This repository is a set of educational Python notebooks for data professionals, not a runtime application. The user workflow is to study one or more notebooks and learn the corresponding production skill; the README recommends a study order but also says learners can focus on relevant topics. The graph groups the six documented topics and shows only the learner-to-notebook relationship. No notebook contents were available, so internal calls or dependencies between topics are not inferred.
Main entry points: 1_OOP_in_Python.ipynb OOP in Python · 4_PyTest.ipynb PyTest · 3_Pydantic.ipynb Pydantic · 2_Async_Python.ipynb Async Python
Components 7
Design & Testing
- OOP in Python
Notebooks/1_OOP_in_Python.ipynb - PyTest
Notebooks/4_PyTest.ipynb
Data Quality
- Pydantic
Notebooks/3_Pydantic.ipynb
Execution & Integration
- Async Python
Notebooks/2_Async_Python.ipynb - ThreadPool
Notebooks/5_ThreadPool.ipynb - API Calls
Notebooks/6_API_Calls.ipynb
Other components
- Data Professional
Connections 6
- Data Professional → OOP in Python: studies
- Data Professional → PyTest: studies
- Data Professional → Pydantic: studies
- Data Professional → Async Python: studies
- Data Professional → ThreadPool: studies
- Data Professional → API Calls: studies