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Python Pandas Introduction

pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive. It makes data science easy, effective, and real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal.


python Pandas Introduction

pandas is well suited for many different kinds of data:


The two primary data structures of pandas, Series (1-dimensional) and DataFrame (2-dimensional), handle the vast majority of typical use cases in finance, statistics, social science, and many areas of engineering. pandas is built on top of NumPy and is intended to integrate well within a scientific computing environment with many other 3rd party libraries.


Pandas Features

Pandas Operation
  1. Slicing the Data Frame.
  2. Changing the index.
  3. Data Conversion
  4. Joining and Merging
  5. Concatenation
  6. Changing the column headers

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