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Python for Data Science, AI & Development
Chapters

1Python Foundations for Data Work

2Data Structures and Iteration

3Numerical Computing with NumPy

4Data Analysis with pandas

Series and DataFrame BasicsReading CSV and ExcelIndexing and SelectionFiltering and queryHandling Missing ValuesType Conversion and CategoriesSorting and RankingGroupBy and AggregationsApply and Vectorized OpsMerge, Join, and ConcatPivot Tables and CrosstabsTime Series with pandasWindow and Rolling OpsString Methods and RegexDatabase I/O with SQLAlchemy

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/Data Analysis with pandas

Data Analysis with pandas

42399 views

Manipulate and analyze tabular data using pandas for indexing, joins, time series, and robust I/O.

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13 of 15

Window and Rolling Ops

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