Python Pandas is a Data Analysis Library (high-performance). It contains data structures to make working with structured data and time series easy. Key features are:

  • A DataFrame object: easy data manipulation

  • Read/Write data from various sources: Microsoft Excel, CSV, SQL databases, HDF5

  • Reshaping, slicing, indexing and much more..

Related course:
Data Analysis in Python with Pandas

Articles related to Data Analysis with Pandas:

Common Data Structures
Common data structures:

  • Tabular data (SQL table, Excel spreadsheet)

  • Time series data

  • Matrix data

  • Statistical data sets


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