v 1.0.4 production build

Computational
Notebooks
Reimagined.

A web-based environment for STEM students that converts natural language to rendered technical content with integrated Python runtime.

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Adaptive STEM FlowRealtime Notes + AI

STEM WORKSPACE

LIVE

Built for equations, code, and diagrams.

MATHLaTeX + symbolic notation

CODEPython blocks with output

LABCharts, tables, and reports

∫ f(x)dx∇·F = 0A x = b

Workstation / Calculus / Integration_TechniquesStatus: Connected

H1H2BI

Σ Integral√ RootMatrix

Python CellPlot 2D

mathematics

integration

numerical-methods

S(x) = \frac{1}{1 + e^{-x}}, \quad \int_{-5}^{5} S(x)\,dx

[21]

Python (Scientific)12ms

import numpy as npfrom scipy.integrate import quad def sigmoid(x): return 1 / (1 + np.exp(-x)) # Compute numerical integralres, err = quad(sigmoid, -5, 5)print(f"Integral Result: {res:.4f}")

The plot below visualizes the area under the curve (AUC) which corresponds to our computed integral value.

System Modules

MODULE 01

Rich Text & LaTeX

Natural language processing converts inline math to rendered LaTeX instantly.

MODULE 02

Python Runtime

Client-side execution via Pyodide. No server latency. Libraries included.

MODULE 03

AI Synthesis

Generative capabilities for code, math, and explanatory text.

mathematics

integration

numerical-methods

S(x) = \frac{1}{1 + e^{-x}}, \quad \int_{-5}^{5} S(x)\,dx

[21]

Python (Scientific)12ms

import numpy as npfrom scipy.integrate import quad def sigmoid(x): return 1 / (1 + np.exp(-x)) # Compute numerical integralres, err = quad(sigmoid, -5, 5)print(f"Integral Result: {res:.4f}")

The plot below visualizes the area under the curve (AUC) which corresponds to our computed integral value.

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System Modules

Rich Text & LaTeX

Python Runtime

AI Synthesis

|

System Modules

Rich Text & LaTeX

Python Runtime

AI Synthesis