That’s where the Python libraries and frameworks discussed in ... accelerating machine-learning tasks or a particular data-processing framework. Pandaral·lel, as the name implies, is a way ...

This piece will explore some of the Python libraries that are particularly beneficial for natural language processing. One of the most popular libraries for NLP is Natural Language Toolkit (NLTK).

Also, there is no 64-bit binary; you’ll need to install the 32-bit edition of Python to use it. Finally, NLTK is not the fastest library either, but it can be sped up with parallel processing.

A lot of software developers are drawn to Python ... basic processing features for high-level, non-scientific mathematical functions. TensorFlow is a free and open source library that is available ...

HUNTSVILLE, Ala., Aug. 1, 2017 /PRNewswire/ -- Abaco today announced an upgraded version of its AXISLib signal processing and math libraries for Intel®-based system architectures. The ...

Natural language processing ... are five NLP libraries that can be used for various purposes, as discussed below. One of the most widely used programming languages for NLP is Python, which ...

Pianolizer is a self-contained library implemented in JavaScript and C++ (which in turn compiles into WebAssembly), and the examples show how it can be used from Python or some other language.

Or you can take advantage of [Cody Brocious’] work by using his Emotiv Python Library. He sniffed around ... figure out how to properly filter the signals and differentiate which sensor ...

However, the library of Python bindings is the most popular ... SciPy is a scientific computing library that provides tools for image processing, signal processing, optimization, and more.