Welcome my friend, You take the right decision to click on the blog and come here to read it.
In this blog, we are gonna discuss the pandas library in python and later we are also going to prepare a notebook that can be used by us as a handbook later on in the future.
What is Pandas?
Pandas is a library written in python for doing data manipulation, by data manipulation means to create, delete, and update the data.
It is one of the most commonly used libraries when doing data analysis and manipulation in python. it offers data structures and operations for manipulating numerical tables and time series. It presents a diverse range of utilities, ranging from parsing multiple file-formats to converting an entire data table into a Numpy matrix array. This makes pandas a trusted ally in data science and machine learning.
Installation :
We can install pandas using pip.
pip install pandas
Now, we have our library installed and we also know a little bit about pandas, it’s the right time to getting familiar with pandas concepts…
Concepts to be covered in Blog
- Setting up the environment for using pandas
- Reading data
- Creating our own Dataframe and series objects
- Add, update, and deleting rows and column
- Retrieving Data
- Exporting Data to files
- Different types of functions in pandas
- EDA
“You can have data without information, but you cannot have information without data.” — Daniel Keys Moran
#pandas #machine-learning #data-analysis #pandas-dataframe #data-science
