Key Takeaways#
Filtering + Aggregation → summarize specific rows based on conditions.
GroupBy + Aggregation → summarize categories (all groups at once).
Grouping can be done on one or multiple columns.
Summary of Pandas: Key Features at a Glance#
Data Import/Export: Read from and write to CSV, Excel, SQL, JSON, and many other formats
Data Cleaning: Handle missing values, remove duplicates, filter outliers
Data Transformation: Reshape, pivot, melt, and transform your data
Data Aggregation: Group by categories and compute summary statistics
Time Series Analysis: Work with dates and times effortlessly
Visualization Integration: Works seamlessly with Matplotlib and Seaborn