Many a time, I have seen beginners in data science skip exploratory data analysis (EDA) and jump straight into building a hypothesis function or model. In my opinion, this should not be the case.
Pandas is a popular Python package as it offers powerful, expressive, and flexible data structures that make data manipulation and analysis easy, among many other things. We will go over the essential bits of information about pandas, including how to install it, its uses, and how it works, and much more.
Learn to group the data and summarize in several different ways, to use aggregate functions, data transformation, filter, map.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Python Pandas Tutorial will help you get started with Python Pandas Library for various applications including Data analysis. Introduction to Pandas. DataFrames and Series. How To View Data? Selecting Data. Handling Missing Data. Pandas Operations. Merge, Group, Reshape Data. Time Series And Categoricals. Plotting Using Pandas