Data Analysis with Pandas (Guide)

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:

• 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

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