Learn Python
Structured pathways from beginner programming to advanced application development.
Explore learning paths →Learn Python, execute code in the browser, explore scientific computing, and build domain-specific applications for modern research and innovation.
import numpy as np
matrix = np.array([[2, 3], [4, 5]])
print(np.linalg.det(matrix))
No local installation is required for supported browser-based examples.
A modular foundation for education, computation, AI, and engineering applications.
Structured pathways from beginner programming to advanced application development.
Explore learning paths →Write and execute Python directly in your browser using Pyodide.
Launch studio →NumPy, SciPy, SymPy, Pandas, Matplotlib and engineering mathematics.
View scientific tools →Machine learning, data analysis, AI assistants, agents and research automation.
Explore AI topics →Photonics, solar cells, organic electronics, IoT, healthcare and quantum technologies.
Open Application Center →Examples, downloadable code, guided projects and future community contributions.
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