Crafted for accessibility and engagement, our work is an effort to transform learning into an enjoyable and approachable journey.

We present a brief introduction & guide to Julia language. We examine calculation of pivot patterns emerging from application of GECP in Hadamard matrices, Benchmarks between Julia, Matlab & Python in applications of matrix computations & the Newton-Raphson method, Base conversion programs, Polynomial Interpolation, Natural Cubic Splines, Accuracy of different expressions of equal quantities.

*Note: This is the educational status of creators of the notebooks, during the time of creation.

A special thanks to Pluto.jl

The ultimate browser-based notebook interface for the Julia language, tightly linking code and computational results.

Reactivity

Interactivity as a principle

A reactive environment where splitting code into cells makes your workflow instantly interactive.

Reproducibility

Reproducible by default

Pluto ensures that your work stays runnable for others, taking the guesswork out of environment management.

Education

Designed for Learning

Powerful and helpful without being intimidating for students.

Prioritizing beginners over experts.
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