Working with Pandas DataFrame: Data Science with Python Guide (2026)

Progress 3 / 10

Introduction to Data Science and Python

Python Programming Fundamentals for Data Science

Setting Up Data Science Environment

NumPy for Scientific and Numerical Computing

Pandas for Data Analysis and Manipulation

Data Cleaning and Data Preprocessing Techniques

Exploratory Data Analysis and Statistics

Data Visualization using Python Libraries

Feature Engineering and Data Transformation

Machine Learning Fundamentals

Supervised Machine Learning Algorithms

Unsupervised Learning and Clustering

Model Evaluation and Optimization

Real World Data Science Projects

Data Science Career Guide and Interview Preparation

Working with Pandas DataFrame

Beginner Topic 3 of 10

Pandas DataFrame

A DataFrame is a two dimensional data structure used to store structured data.

python import pandas as pd data = { "Name": ["Alice","Bob"], "Age": [24,30] } df = pd.DataFrame(data) print(df)

Next Tutorial: Reading Data with Pandas