# Blog Post: Tight link between code and math, while keeping speed

**URL:** https://discourse.julialang.org/t/blog-post-tight-link-between-code-and-math-while-keeping-speed/103548
**Category:** Finance and Economics
**Tags:** economics, optimization, blog-post
**Created:** [September 5, 2023, 4:43pm UTC](https://discourse.julialang.org/t/blog-post-tight-link-between-code-and-math-while-keeping-speed/103548 "2023-09-05T16:43:24Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![alfaromartino](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/alfaromartino/32/52986_2.png) [@alfaromartino](https://discourse.julialang.org/u/alfaromartino)
#### Post date: [September 5, 2023, 4:43pm UTC](https://discourse.julialang.org/t/blog-post-tight-link-between-code-and-math-while-keeping-speed/103548/1 "2023-09-05T16:43:24Z")

</div>

I wrote a [blog post](https://alfaromartino.github.io/blog/PAGES/08_structural/) about how Julia makes it possible to maintain a tight connection between the code and the written equations of a model, without sacrificing speed.

The goal was to demonstrate an approach I use to strike a balance between these aspects. Although the post uses an example from Economics, I tried my best to make it as generalizable as possible for users of other fields.

Hope you find it helpful!