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:
Practice Python with interactive exercises

Articles Articles related to Data Analysis with Pandas:

• Pandas Data structures
• Pandas Filter
• Pandas groupby
• Read XLS
• SQLite with Pandas
• Visualize data
• Read CSV
• Read Excel
• Write Excel

Common Data Structures Common data structures:

• Tabular data (SQL table, Excel spreadsheet)
• Time series data
• Matrix data
• Statistical data sets