With this post, we will learn how to perform read and write operations on different formats of data.

4 widely used formats of Data:-

  1. CSV
  2. EXCEL
  3. HTML
  4. SQL

1) CSV- comma separated values

A comma separated values (CSV) file is a text file that has a specific format that allows data to be saved in a table structured format.

(Advice:- It’s always good to know at least basics of NumPy/ Matplotlib before jumping to Pandas)

Key Contents:-

  1. 3 W’s of Pandas (What/ Why/ Where)
  2. Installing Pandas
  3. Data Structures (Data Frame, Series)- Basic
  4. Important Questions

3 W’s of Pandas:-

What is Pandas?

Pandas is an open source, BSD-licensed library which provides easy to use data structures, data analysis, data manipulation tools for the python programming language. It’s built on top of two core libraries of Python — matplotlib (used for data visualization) and NumPy (used for mathematical Operations).

Pandas is like excel of Python. Data Frame is analogous to a table and Series is…

ayush shekhar

Data Science Enthusiast | Full Stack Web Developer( MERN) | Flask | DevOps

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store