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What is TensorFlow in Python?

TensorFlow is one of the most effective Python libraries that can be used for rapid numerical computing developed and released by Google. TensorFlow comes in the form of a foundation library to be used for creating deep learning structures or models directly or by making use of wrapper libraries that help in simplifying the process developed on TensorFlow. Google has created this library and it released it under the Apache 2.0 open source license. This API is for the Python programming language despite the fact that there is proper access to underlying C++ API.

How is TensorFlow Different from Other Libraries? Dissimilar to the other libraries used for numerical computing, TensorFlow has been specifically designed to be used for both development and research along with production systems. It has the potential of being run on one single CPU system, mobile devices, GPU and even large scale
distributed systems of machines in large numbers.

What is Spyder in Python?

Spyder in Python works in the form of an open source cross-platform IDE or integrated development environment for scientific programming done in the Python language. It easily integrates with different prominent packages in Python including SciPy, NumPy, Pandas, Matplotlib, SymPy, Cython and IPython along with other open source software. This IDE released under MIT license. The full form of Spyder is Scientific Python Development Environment. As is suggested by its name, it is in no ways a general purpose integrated development environment. It has been specifically built for comfortable scientific computing. Nevertheless, this does necessarily mean that Spyder is not suited for regular Python programming. It works perfectly fine when it comes to writing scripts outside the Python scientific programming stack. The only thing that you cannot expect it to be is a full-blown IDE. If you are thinking of handling more complicated Python programs then it is necessary for you to move to something else.

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