Datatypes Data frame operations Changing datatypes Dataset summarization Data manipulation Filtering Sorting Conditions GroupsBy Loops and Functions Other operations(missing values) Exploratory analysis(univariate,bivariate) Plotting multiple graphs
Pandas Purpose: Data manipulation and analysis in tabular form (DataFrames). Key Features: Data cleaning, preparation, analysis, and statistics.
Numpy Purpose: Numerical computing library for working with arrays and matrices. Key Features: Efficient numerical operations and mathematical functions.
Matplotlib Purpose: Plotting and data visualization. Key Features: Creating various types of plots (line, bar, pie, scatter, etc.).