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Python's versatility derives from the vast amount of external libraries developed by its extensive community of developers. In Data Science, Python relies on many of those libraries to handle mathematical and scientific functions. NumPy, TensorFlow, PyTorch, Pandas, and Maplotlib are some of the most commonly used.
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Julia is a dynamic, high-level, high-performance programming language, specifically created for technical computing, with a similar syntax to Python. It is mostly used in Machine Learning, Data Science, data mining, numerical analysis, and any mathematical purpose since linear algebra is a core function of this language.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
