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Data Analysis with Pandas (Guide)

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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 with Python Pandas

Articles
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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