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
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