How-To Geek on MSN

Think you need a high-end PC to learn coding? Think again

You don't need fancy hardware to get started on your coding journey. A low-spec computer will likely be more than you need to ...
IEEE

PyPIM: Integrating Digital Processing-in-Memory from Microarchitectural Design to Python Tensors

Abstract: Digital processing-in-memory (PIM) architectures mitigate the memory wall problem by facilitating parallel bitwise operations directly within the memory. Recent works have demonstrated their ...
Nature

Python, the movie! The programming language’s origin story comes to the silver screen

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...
IEEE

Combination of NumPy, SciPy and Matplotlib/Pylab -a good alternative methodology to MATLAB - A Comparative analysis

Abstract: Python is a simple, dominant and well-organized interpreted language. Python is used to develop the very high performance scientific related application and it is used to develop an ...
Analytics Insight

Data Analysis with Python: Using Pandas, NumPy, and Matplotlib

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...
TWCN Tech News

You can’t change part of an array error in Excel

If you get the You can’t change part of an array error in Microsoft Excel, this post will help you fix the error. An array is essentially a collection of items ...
TheServerSide

Speed up Python and NumPy by avoiding the conversion tax

There is a phenomenon in the Python programming language that affects the efficiency of data representation and memory. I call it the "invisible line." This invisible line might seem innocuous at ...
InfoWorld

What is NumPy? Faster array and matrix math in Python

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...
GitHub

Non-negative Matrix Factorization using NumPy

📌 Important Notice: Please ensure that dataset files are placed in the data directory before executing run.py. For emphasis, we've incorporated an error ...
TechRepublic

Top Python AI and Machine Learning Libraries

A lot of software developers are drawn to Python due to its vast collection of open-source libraries. Lately, there have been a lot of libraries cropping up in the realm of Machine Learning (ML) and ...
InfoWorld

A first look at the Mojo language

The newly unveiled Mojo language is being promoted as the best of multiple worlds: the ease of use and clear syntax of Python, with the speed and memory safety of Rust. Those are bold claims, and ...