pandas

What is pandas?

Open-source Python library designed for data manipulation and analysis
pandas is a python package or library designed for data manipulation, analysis, data science
Python-based data analysis toolkit
High-level data manipulation tool
Built on the Numpy package
Key data structure is called the DataFrame

Naming

Pandas stands for “Python Data Analysis Library”
The name ‘pandas’ is derived from the term “panel data”, an econometrics term for multidimensional structured data sets (Wikipedia)

Data Manipulation: offers powerful data manipulation tools that simplify tasks like filtering, selecting, sorting, and transforming data
Data Cleaning and Preprocessing: provides numerous functions for handling missing data, converting data types, and dealing with outliers
Data Analysis: you can easily perform descriptive statistics, aggregations, and groupings on your data
Integration with Other Libraries: integrates well with other data analysis and machine learning libraries in the Python ecosystem, such as NumPy, Matplotlib, and scikit-learn
Time Series Data: excellent support for working with time series data
Performance: built on top of NumPy, which is known for its efficient numerical operations in Python
Flexibility: can handle a wide range of data types and data sources