NumPy
Introduction to NumPy, NumPy Installation, Data Types, NumPy ndarray, Basic Indexing and Slicing, Boolean Indexing, Fancy Indexing, Data Processing using Arrays, Expressing Conditional Logic, Methods for Boolean Arrays, Sorting, Unique.
Pandas
Introduction to pandas, Library Architecture, Features, Applications, Data Structures: Series, DataFrame, Index Objects, Essential Functionality, Reindexing, Dropping Entries (from an axis, Indexing, selection, and filtering), Sorting, Ranking, Summarizing and Computing Descriptive Statistics, Unique Values, Value Counts, Handling Missing Data, Filtering out missing data.
Python Files
Reading and Writing Data in Text Format, Reading Text Files in Pieces, Writing Data Out to Text Format, Manually Working with Delimited Formats, JSON Data, XML and HTML