Azure Machine Learning vs Python: What are the differences?
Azure Machine Learning: A fully-managed cloud service for predictive analytics. Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning; Python: A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java. Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Azure Machine Learning belongs to "Machine Learning as a Service" category of the tech stack, while Python can be primarily classified under "Languages".
Python is an open source tool with 25.3K GitHub stars and 10.5K GitHub forks. Here's a link to Python's open source repository on GitHub.
Uber Technologies, Spotify, and Netflix are some of the popular companies that use Python, whereas Azure Machine Learning is used by Microsoft, Bluebeam Software, and Petra. Python has a broader approval, being mentioned in 2830 company stacks & 3641 developers stacks; compared to Azure Machine Learning, which is listed in 12 company stacks and 8 developer stacks.