😎What is Pandas and why is it so good?
Pandas is a Python library for processing and analyzing structured data, its name comes from "panel data" ("panel data"). Panel data refers to information obtained because of research and structured in the form of tables. To work with such data arrays in Python, the Pandas library was created.
This library is based on DataFrame - a table-type data structure. Any tabular representation of data, such as spreadsheets or databases, can be used as a DataFrame. The DataFrame object is made up of Series objects, which are one-dimensional arrays that are combined under the same name and data type. Series can be thought of as a table column. Pandas has in its arsenal such advantages as:
Easily manage messy data in an organized form - dataframes have indexes for easy access to any element
Flexible change of forms: adding, deleting, attaching new or old data.
Intelligent indexing, which involves the manipulation and management of columns and rows.
Quickly merge and merge data sets by indexing them, for example, two or more Series objects into one DataFrame.
Support for hierarchical indexing - the ability to combine columns under a common category (MultiIndex).
Open Access - Pandas is an open source library, meaning its source code is in the public domain
Detailed documentation - Pandas has its own official website, which contains detailed documentation with explanations. More details can be found at the following link: https://pandas.pydata.org/docs/