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Phase 3 · Python for Data Science

Topics

Python Fundamentals

Part of the Data Science Roadmap.

Summary

Variables, control flow, functions, list/dict comprehensions and basic object-oriented concepts — the general-purpose Python fluency every data science library sits on top of.

How to Learn This

  • 1Complete a beginner Python course focused on general programming fundamentals.
  • 2Practice writing functions and using list/dict comprehensions instead of manual loops.
  • 3Learn to read Python tracebacks and debug from the error message, not by guessing.

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Optimization Basics (Gradient Descent)

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NumPy for Numerical Computing

More topics in Python for Data Science

NumPy for Numerical ComputingPandas for Data ManipulationData Cleaning & WranglingMatplotlib & SeabornJupyter Notebooks & Google ColabWorking With APIsVirtual Environments & Package ManagementWriting Clean, Reusable Code
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