This episode, we have an optimization tofer.

We begin by looking at optimizing a subset of Python code for machine learning using the

LLVM compiler with a project called Pi LLVM.

It takes plain Python code, compiles it to optimize machine instructions, and distributes it across

a cluster to do machine learning.

In the second half, we'll look at a fabulous new way to work with MongoDB for Python writing data scientists.

The project is called Bison NumPy and provides direct connections between Mongo and NumPy.

It's 10 times faster than working with Pi Mongo directly if you plan to end up in Numpai

anyway.

You're about to meet the woman behind both of these projects, Anna Hurleyhey.

This is Talk Python to Me, episode 103 recorded February 6th, 2017.

I'm a developer, developers, developers, developers, developers.

I'm a developer in many senses of the word,

because I make these applications,

but I also use these verbs to make this music.

I constructed line by line, just like when I'm coding

another software design.

In both cases, it's about design patterns.

Anyone can get the job done.

It's the execution that matters

I have many interests

Sometimes you can flint

...