[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and was ...
Asked on Twitter why a paper is coming out now, 15 years after NumPy's creation, Stefan van der Walt of the University of California at Berkeley's Institute for Data Science, one of the article's ...
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How to Use pandas DataFrames in Python to Analyze and Manipulate Data
pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...
With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network. Over the past few months, the use of the Python programming ...
We would like to use py4DSTEM in Python environments with numpy 2.x. The core packages seem to all be available to be used with numpy 2.x. Tested with this command: conda create -n trial_dependencies ...
Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...
During the triage meeting today I showed how I use pyenv to manage ASAN and TSAN python installations and debug numpy tests using sanitizer-instrumented builds of Python and NumPy. I should add some ...
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