Python is a very popular programming language among developers and coders. The syntax of Python is very close to mathematical syntax which makes it very popular among data scientists. Furthermore, extensive third-party tools and libraries make Python development a perfect programming language for scientific computing and data science. Even in the field of machine learning, Python is considered to be more user friendly as compared to Java.
Scikit-Learn is an open-source tool used for data mining and data science apart from machine learning. The major features of the tool include classification, regression, clustering, dimensionality reduction, model selection, and pre-processing. The API is consistent and user friendly. The tool also offers grid and random searches. The biggest beneficial feature of this tool is the very high speed of performing various benchmarks on toy datasets.
Keras is an open-source high-level neural network API library written in Python. It offers a very easy way to express neural networks which makes it ideal for beginners of machine learning. By being written in Python, Keras runs on popular neural network frameworks such as CNTK, TensorFlow and Theano. The mainstays of this tool are modularity, user-friendliness, working with Python and easy extensibility.