How-To Geek on MSN

I install these 9 Python tools on every new machine

These are my go-to libraries for Python data crunching.

There’s a Global Network of Fungi Under Your Feet. This Is the First Complete Map

A new study has succeeded in mapping, on a global scale, the fungal network that supports plant life and helps regulate our ...
How-To Geek on MSN

These 7 Python libraries are useful even if you're not a developer

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
IEEE

Memristor Parallel Computing for a Matrix-Friendly Genetic Algorithm

Abstract: Matrix operation is easy to be paralleled by hardware, and the memristor network can realize a parallel matrix computing model with in-memory computing. This article proposes a ...
9to5Mac

Apple shows how much faster the M5 runs local LLMs compared to the M4

A new post on Apple’s Machine Learning Research blog shows how much the M5 Apple silicon improved over the M4 when it comes to running a local LLM. Here are the details. A couple of years ago, Apple ...
GitHub

NumPy Financial

The numpy-financial package contains a collection of elementary financial functions. The financial functions in NumPy are deprecated and eventually will be removed from NumPy; see NEP-32 for more ...
InfoWorld

10 tips for speeding up Python programs

But in many cases, it doesn’t have to be an either/or proposition. Properly optimized, Python applications can run with surprising speed—perhaps not as fast as Java or C, but fast enough for web ...
InfoWorld

Use Cython to accelerate array iteration in NumPy

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...