Python for Data Science
📘 Data Science
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📅 Nov 14, 2025
⏱ Estimated reading time: 1 min
Introduction
Python is the most widely used programming language for Data Science due to its simplicity and powerful libraries.
Why Python?
- Easy to learn
- Open-source
- Large community support
- Best libraries for ML and Data Science
Popular Python Libraries
- NumPy – numerical computing
- Pandas – data manipulation
- Matplotlib – visualization
- Seaborn – advanced visualization
- Scikit-learn – machine learning
- TensorFlow / PyTorch – deep learning
Basic Python Example
a = 10
b = 20
print(a + b)
Importing Data Science Libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
Reading a CSV File
df = pd.read_csv("data.csv")
print(df.head())
Conclusion
Python is a must-have skill for anyone entering Data Science. It powers almost all modern machine learning workflows.
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