The eli4d Gazette – Issue 073: Python-Based Scientific Computing the Browser through Pyodide and The State of UX Survey

Firefox Pyodide – Scientific Computing in the Browser?

The Mozilla Hacks Blog had a really neat post about an experimental project involving a full Python-based data science stack on the browser.

WebAssembly is the technology that makes this possible. Per the WebAssembly link:

WebAssembly is a new type of code that can be run in modern web browsers — it is a low-level assembly-like language with a compact binary format that runs with near-native performance and provides languages such as C/C++ and Rust with a compilation target so that they can run on the web. It is also designed to run alongside JavaScript, allowing both to work together.

Pyodide is a really neat experiment that combines the power of WebAssembly with some amazing scientific libraries in Python (i.e. NumPy, Pandas, Matplotlib, parts of SciPy, and NetworkX).

If browser-based web applications can run at native speeds, then how necessary are native apps? (and especially mobile native apps)

The State of UX Survey

I came across an interesting UX survey – The State of UX in 2019. It’s an interesting view into the design side of things. I don’t know how accurate or true it is but it is definitely visually compelling (as you would expect for this kind of report).


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