Pandas Beginners Guide. From None to One!

Pandas is a popular open-source library for data manipulation and analysis in Python. It provides powerful tools for cleaning, transforming, and analyzing data, making it a valuable resource for anyone working with data in Python.

The key features of Pandas include:

1. Data Structures: Pandas provides two main data structures, Series and DataFrame, which allow for efficient and flexible storage and manipulation of data. Series is a one-dimensional array-like object that can hold any data type, while DataFrame is a two-dimensional table-like data structure that can store heterogeneous data.
2. Data Cleaning and Transformation: Pandas provides a wide range of tools for cleaning and transforming data, such as handling missing values, dropping duplicates, and transforming data into different formats.
3. Data Selection and Indexing: Pandas allows for easy selection and indexing of data based on specific criteria, such as slicing data, selecting rows and columns, and filtering data based on conditions.
4. Grouping and Aggregation: Pandas allows for grouping and aggregation of data based on specific criteria, such as calculating summary statistics (e.g., mean, median, and standard deviation) for subsets of data.
5. Importing and Exporting Data: Pandas provides…