Convert Jupyter Notebooks to PDF

Jupyter Notebooks are interactive computing environments that combine code, text, and visualizations in a single document. They are widely used in data science, scientific research, and education for creating and sharing computational narratives.

The .ipynb file format stores these notebooks, containing a combination of executable code cells, markdown text, equations, and output results including visualizations, tables, and more.

While Jupyter Notebooks are excellent for interactive work, PDFs offer several advantages for sharing and presenting your work:

• Universal compatibility - PDFs can be viewed on virtually any device
• Professional presentation - Consistent formatting across all platforms
• Permanence - Content and layout remain fixed, unlike web formats
• Printing capability - Easy to print with predictable results
• Security options - Add password protection if needed

Our converter preserves syntax highlighting from your Jupyter notebooks, making your code more readable in the PDF output:

import numpy as np
import matplotlib.pyplot as plt

# Generate some data
x = np.linspace(0, 10, 100)
y = np.sin(x)

# Create a plot
plt.figure(figsize=(8, 4))
plt.plot(x, y, 'b-', linewidth=2)
plt.title('Sine Wave')
plt.xlabel('x')
plt.ylabel('sin(x)')
plt.grid(True)
plt.show()

Mathematical formulas written in LaTeX are properly rendered in the PDF output: