Essential Python Libraries for Data Science, Machine Learning, and Web Development

🧠 1. NumPy

Use: For fast mathematical calculations, especially with arrays (like large lists of numbers).

📊 2. Pandas

Use: To work with tabular data (like Excel spreadsheets). Useful for data manipulation and analysis.

pip install pandas

import pandas as pd

📈 3. Matplotlib

Use: For drawing graphs and charts (line, bar, pie, etc.).

pip install matplotlib

import matplotlib.pyplot as plt

🧪 4. SciPy

Use: For scientific and technical calculations like integration, optimization, and solving equations.

pip install scipy

import scipy

📚 5. Scikit-learn

Use: For machine learning – used to train models and make predictions.

pip install scikit-learn

from sklearn import datasets

🤖 6. TensorFlow

Use: For deep learning and building neural networks (used in AI and ML projects).

pip install tensorflow

import tensorflow as tf

🧠 7. Keras

Use: A user-friendly interface for TensorFlow, simplifies building deep learning models.

pip install keras

import keras

🌐 8. Requests

Use: To send HTTP requests (e.g., accessing websites or APIs).

pip install requests

import requests

🌟 9. Flask

Use: A lightweight web framework to build small websites and REST APIs.

pip install flask

from flask import Flask

🔥 10. PyTorch

Use: A deep learning library widely used in AI research and development.

pip install torch

import torch