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There's a new programming language in town - it's Mojo! I'm more than a little excited about it. It's Python, but with none of Python's problems.
You can write code as fast as C, and deploy small standalone applications like C.
My post is below, and a 🧵
fast.ai/posts/2023-05-…
You can write code as fast as C, and deploy small standalone applications like C.
My post is below, and a 🧵
fast.ai/posts/2023-05-…
Python is the language that I have used for nearly all my work over the last few years. It is a beautiful language. It has an elegant core on which everything else is built.
But it comes with a downside: performance. It's thousands of times slower than C.
But it comes with a downside: performance. It's thousands of times slower than C.
Python programmers learn to avoid using Python for the implementation of performance-critical sections, instead using Python wrappers over C, FORTRAN, Rust, etc.
But this “two-language” approach has serious downsides. It's complex, hard to debug or profile, & hard to deploy.
But this “two-language” approach has serious downsides. It's complex, hard to debug or profile, & hard to deploy.
Just released another #Python package for #bioinformatics: #Cython bindings to FAMSA, a very fast algorithm for #MultipleSequenceAlignment by @sdeorowicz, Agnieszka Debudaj-Grabysz and @AdamGudys! Get it here: github.com/althonos/pyfam…
Just create an Aligner object (with additional configuration if you want), then give it some sequences to align: 
It's missing some small things that I'll add over time, but for now the key features are there, and you could use it in your Python or #snakemake workflows in place of the FAMSA binary.
