Turn Your Notes into Interactive Courses

Create stunning courses with labs, exercises, Jupyter notebooks, and interactive datasets

Powerful Features

Jupyter Integration

Embed live Jupyter notebooks with interactive code cells

Dataset Support

Work with large datasets using pandas and visualization

Interactive Videos

Embed videos with synchronized code execution

Course Templates

Machine Learning

Complete ML course with scikit-learn, TensorFlow, and real-world datasets

Data Analysis

Master pandas, matplotlib, and seaborn with hands-on projects

Deep Learning

Explore neural networks with PyTorch and GPU acceleration

Live Examples

Interactive Jupyter Notebook

pandas_data_analysis.ipynb 
# Import libraries
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# Load dataset
df = pd.read_csv('data.csv')
print(f"Dataset shape: {df.shape}")

# Data exploration
df.describe()

Interactive Exercise

Exercise: Create a pandas DataFrame from the given data and calculate the mean.

Build Your Course

Course Content Builder

Lab Configuration

Dataset Manager

Drag and drop your datasets here or click to browse

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