Pandas

Pandas is the most powerful data analysis tool

Python Pandas is a popular library for data analysis and manipulation.

Pandas is designed to be easy to use, with a simple syntax that allows developers to perform complex data manipulation tasks with just a few lines of code. This makes it an ideal tool for beginners, as well as for more experienced developers who want to quickly prototype ideas and concepts.

Pandas can handle many different types of data, including structured, semi-structured, and unstructured data. It can also handle data from a wide range of sources, including CSV files, SQL databases, and web APIs.

Pandas provides a rich set of data manipulation functions, including filtering, grouping, pivoting, and merging. These functions make it easy to clean and transform data, and to extract insights from large datasets.

Python
Data Science
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Topics included

  • Series
  • DataFrame
  • Filtering DataFrame
  • Indexing and selecting data
  • Merge, join, concatenate
  • Group by
  • Time series
  • Missing data
  • MultiIndex

All modules

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