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Hi everyone, welcome back. Are you working on a data science project, but unsure of what libraries are available to you? Well, here I’ll give a list of popular free open source libraries for Python that can be used for data science purposes. A software library is a set of files already written by a third party so you can use. No need to write new code if it already exists!
TensorFlow
TensorFlow is a library that is popular for its uses in machine learning. TensorFlow was built by Google and is used for both research and production purposes. TensorFlow is useful when developing machine learning models and to train data. Tasks such as speech recognition and image recognition can be done with TensorFlow. TensorFlow also provides tools to help build, test, and deploy along with step by step walkthroughs. Check out TensorFlow.
NumPy
NumPy is a library that supports arrays and matrices along with mathematical functions. Support includes n-dimensional arrays and numerical computing tools. Mathematical operations done on arrays and matrices can be easily done with NumPy. Operations include sorting, random generation, vectorization, statistical operations, and more. Check out NumPy.
