title: Python for Data Science date: 2025-05-25 summary: Learning Python fundamentals for data analysis - NumPy, Pandas, and Jupyter notebooks. tags: python, numpy, pandas, jupyter

The Python module in the Data Science course has been great. Here's what I've covered.

Jupyter Notebooks

Jupyter is an interactive environment that makes data exploration intuitive. You can mix code, visualizations, and markdown documentation in a single document.

NumPy Basics

NumPy provides fast array operations:

import numpy as np
data = np.array([1, 2, 3, 4, 5])
print(data.mean())

Pandas for DataFrames

Pandas makes working with tabular data feel natural:

import pandas as pd
df = pd.read_csv('data.csv')
print(df.describe())

Next Up

Data visualization with Matplotlib and Seaborn.