Introduction to Pandas | Data science full course with Python

 In the Introduction to Data Science post, we discussed about Roadmap for Data Science. In which we learned about Pandas in Python. So, lets jump into Pandas introduction.

What is Pandas in Python?

Introduction to Pandas in Python are given below:-

• Pandas is a fast, powerful, flexible and easy to use open source Data Analysis and manipulation tool, built with Python Programing.

• Pandas is Python package that is widely used for Data Science/ Data Analysis and machine learning tasks.

• It is used for manipulation of 1-D Arrays as well as 2-D arrays. 

• It is one of the most popular Data Wrangling packages of Python Programming.

Key features of Pandas in Python and Why should we learn Pandas?

We should learn Pandas because it provides us magnificent Data operations in easy and advanced way.

There are some key features of Pandas are given below:-

• Pandas has Fast and efficient DataFrame with default and customized indexing.

• Pandas provides us tools for Data Loading from momory and different file format.

• Data alignment and integrated handling of missing Data.

• Reshaping and pivoting of Data Sets.

• Label based slicing, indexing and subsetting of large data sets.

• It provides methods for given operations:-

• Data Cleansing

• Data Fill

• Data Normalization

• Merges and joins

• Data visualizations

• Statistical analysis

• Data Inspection

• Loading and Saving Data

• and many more

• Time Series Functionalities

• High Performance Merging and Joining of Data

How to install Pandas?

The installation of Pandas is very simple task. The steps for installing Pandas are given below:-

• Open CMD (command prompt)

• Type - pip install  pandas

In the next post and video tutorial in Data Science full course in Hindi, we will learn Pandas first Program and concepts of Series and Data Frame.

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