Getting Started with Pandas
Install Pandas on your machine now and get started with Pandas today.
Exploring the Languages
Let’s take a look at some facts about Django and its philosophies.
Pandas was developed by Wes McKinney; he started working on it in 2008. Later in 2015, Pandas signed on as a fiscally-sponsored project of NumFOCUS, a nonprofit charity in the US. Pandas is a software library written for the Python language for data manipulation and data analysis. Pandas provides data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD licence.
Pandas helps us predict various events and give a certain direction to our lives, and also helps control and manipulate such data. Without the knowledge of Pandas, you can completely forget about trying to become a Data Scientist. Pandas is an essential tool for handling large amounts of data. It also provides data structures like series, dataframes, and panels, which help with manipulating data sets and time series. It is an open source library and is one of the most widely used data science libraries in the world.
Pandas performs various tasks- whether it is computing tasks like finding the mean, median, and mode of data, or the tasks of handling large CSV files and manipulating the contents according to our will- Pandas can do it all. In short, to master data science, you must be skillful in Pandas.