Write and run Python code directly in your LaTeX projects.
BlaBLaTeX includes a Python execution environment directly in the editor. A .py file can be created alongside your LaTeX files, run directly from the project,
and used to perform calculations, process data, or generate plots and figures. Files generated by the script are added to the project and can then be used in your LaTeX document.
Perform numerical or scientific calculations directly from your project.
Use Python to generate plots and figures that can be included in your document.
Read files from your project, process data, and generate new results.
Python files are stored in the project alongside your .tex files, images, and data.
When you open a .py file, the editor switches to Python mode and a
Run button lets you execute the script directly.
import numpy as np import matplotlib.pyplot as plt x = np.linspace(-2, 2, 200) y = x ** 2 plt.plot(x, y) plt.savefig("plot.pdf")
Python can generate files that remain in the project: figures, CSV data, or other outputs. They can then be used directly in your LaTeX document.
Files created by a script automatically appear in the project file tree. A figure generated with Matplotlib can therefore be saved and then included in the LaTeX document.
The same approach can be used to generate or transform data and then reuse it in the document or in another script.
Project files
\includegraphics{plot.pdf}
A Python script can, for example, calculate the values of a function, plot its curve, and automatically save the figure used in a document.
import numpy as np import matplotlib.pyplot as plt x = np.linspace(-2, 2, 200) y = x ** 2 plt.plot(x, y) plt.savefig("plot.pdf")
Python execution is integrated into the BlaBLaTeX editor and is powered by Pyodide . Scripts run directly in your browser using your computer's resources.
This means you do not need to install Python on the computer you are using. The available libraries are those supported by the Pyodide environment . For very large or computationally demanding tasks, a local Python environment remains more suitable.