Pandas is an open-source data manipulation and analysis library for the Python programming language. It provides data structures and functions needed to work with structured data, particularly for tasks involving data analysis, data cleaning, and data transformation. The primary data structures in Pandas are Series, which are one-dimensional arrays that can hold any data type, and DataFrames, which are two-dimensional, size-mutable, and potentially heterogeneous tabular data structures with labeled axes (rows and columns). Pandas facilitates operations such as filtering, grouping, aggregating, merging, and reshaping data, making it an essential tool for data scientists and analysts. Its functionality is built on top of NumPy, allowing for efficient numerical computations. Pandas is widely used in data science, machine learning, and statistics for handling and analyzing complex datasets.
Why Taiwan’s Unique Panda Stays Alone: A Tale of Love and Politics
Yuanzi, the first giant panda in Taipei Zoo, celebrated her 11th birthday and remains solitary. International breeding restrictions complicate her chances of finding a mate. Political tensions between Taiwan and…