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Explore how Python is used for data science and essential libraries like NumPy and Pandas.

Python for Data Science

Python is widely used for data science because of its extensive libraries.

Why Choose Python for Data Science?

• Simple and readable syntax.

• Extensive libraries for data analysis.

• Strong community support.

Example: Loading a Dataset with Pandas

Here’s how you can use Python’s Pandas library to load and display a dataset:

Python Code:

import pandas as pd

data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]}
df = pd.DataFrame(data)
print(df)

Using libraries like NumPy and Pandas, we can manipulate large datasets efficiently.

Getting Started with Python for Data Science