Chalkwork Labs
Use cases / Technical author and notebook publisher

Technical authors and notebook publishers

You already publish notebooks and newsletters with real data. We turn them into lessons where the code runs in the page, read line by line with the variables shown, and a tutor that answers from your pages while the workshop is months away.

What we build for you

Code that runs in the page

Real Python, pre-written, stepped through with the variables beside it. Learners read, trace and review; they never edit.

Your data, inlined

A dataset becomes a figure with the fit on a slider, and a self-check that compares the page's numbers with yours.

Bring what you have

Already have interactive pages or notebooks? Send the link on the application form. We keep what works, at the same 15%.

Whole example lessons in your field

Built from public sources to show the shapes. Yours would be drafted from your material.
All nine lessons
Machine learning

Overfitting and regularisation

Machine learning for energy data · lesson 9 of 13

A point cloud of GB electricity demand against temperature, a fitted curve, and the moment more bends stop helping. Real NESO and Met Office data.

Open the lesson
Investment management

Two assets, one portfolio

CII J10 Discretionary Investment Management · lesson 6 of 14

Weights, correlation and volatility on sliders. The risk-return curve, the minimum-variance point and the capital allocation line.

Open the lesson

How you earn

Every number, on one page

No upfront fees. 15% of each sale, in pounds, dollars or euros, paid to a bank in your country.

Apply to create a courseWe reply within a week.

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