TensorFlow is supported on Python versions 3.7 through 3.11, and while it may work on earlier versions of Python it’s not guaranteed to do so.

I strongly recommend using the Anaconda distribution of Python, which has all the packages you need to run Keras with TensorFlow. In this article I address installation on a Windows 10 machine.

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The TensorFlow.js Node.js environment supports using an installed build of Python/C TensorFlow as a back end, which may in turn use the machine’s available hardware acceleration, for example CUDA.

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

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Natural language processing libraries, including NLTK, spaCy, Stanford CoreNLP, Gensim and TensorFlow, provide pre-built tools for processing and analyzing human language.

A further 22% of Python developers use DigitalOcean, and 20% use Heroku. Microsoft Azure comes in at fifth place with a 19% share while 12% use PythonAnywhere.

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