TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

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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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.

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.

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Python’s popularity in the data science and machine learning communities, combined with the ease of use and extensive documentation of NLTK, has made it a go-to choice for many NLP projects.

Posted: July 23, 2025 | Last updated: July 23, 2025 Still not sure why TensorFlow is everywhere? Learn what makes it a top choice for AI projects.

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.