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Python for Data Science, AI & Development
Chapters

1Python Foundations for Data Work

Installing Python and ToolingWorking in Jupyter and VS CodeRunning Scripts and NotebooksVariables, Types, and CastingStrings and f-stringsNumbers and ArithmeticBooleans and LogicConditionals and Control FlowFunctions and DocstringsModules and ImportsVirtual EnvironmentsErrors and ExceptionsFile I/O EssentialsCoding Style and PEP 8Using the REPL and Help

2Data Structures and Iteration

3Numerical Computing with NumPy

4Data Analysis with pandas

5Data Cleaning and Feature Engineering

6Data Visualization and Storytelling

7Statistics and Probability for Data Science

8Machine Learning with scikit-learn

9Deep Learning Foundations

10Data Sources, Engineering, and Deployment

Courses/Python for Data Science, AI & Development/Python Foundations for Data Work

Python Foundations for Data Work

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Master core Python syntax and tooling for data tasks, from environments and notebooks to clean, reliable scripts.

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File I/O Essentials

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