Python is a high level and really flexible language, designed to emphasize code readability allowing the developer quickly create scripts and small applications, and it's robust enough to run big applications including data science applications. Python is supported for a huge community and has tons of libraries making the language ready for any kind of application, and the libraries to work with huge datasets make it one of the best choices to data science.Some success stories using Python
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15 years development experience spending both work & free time developing dynamic, UI rich websites & apps for a wide variety of applications & businesses.
10+ years experience building products and leading teams for early-stage start-ups and tech companies. Former CTO at To The Tens, co-founder of ELIX, and full stack developer and leader at several LA-based start-ups. I make impactful products with web technologies & AI and love leading and growing teams. Some of the tool I’ve used: Python, TensorFlow, Keras, Solidity, NodeJS, React, React Native, Angular, Ionic, Rails, GraphQL, MongoDB, MySQL, Postgres, and more. B.S. from Yale University, focused on statistical analysis of ecological systems.