Module 02 of 3 · 21 lessons · 21 graded
Pandas
Tabular data analysis and manipulation using DataFrames, multi-level indexing, relational joins, grouped aggregations, and reshaping transformations.
Categorical dtype4Concat4Copy-on-Write4DataFrame4Datetime Handling in Pandas4Filtering and Query4Index Objects4Merging and Joining4Missing Data in Pandas4MultiIndex4Reading and Writing Data4Reshaping with Pivot and Melt4Series4Sorting and Ranking4String Accessor4Window Functions4Assign and Pipe4Group By (groupby)4Indexing: loc vs iloc4Pandas Performance4Pandas Data Types (dtypes)4