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Data Science Libraries

• NumPy: Provides support for large, multi-dimensional arrays and matrices.
• Pandas: Offers data structures and operations for manipulating and analyzing structured data.
• Matplotlib: A 2D plotting library for creating static, interactive, and animated visualizations.
• Seaborn: A statistical data visualization library based on Matplotlib, providing an easy-to-use interface.

Installing required libraries

Before you start with data science in Python, you need to install some essential libraries.

Open your terminal or command prompt and type the following commands:

pip install numpy pandas matplotlib seaborn scikit-learn

importing required libraries

Once you have the libraries installed,

open your Python environment (IDE or Jupyter Notebook) and import them:

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns