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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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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.
There will be specific technologies you used in your data pipelining: Parquet? Did you use Pandas to manipulate your data? Did you optimise some aspects with C++? If so did you use PyBind11 to integrate it?
There will be specific technologies you used in your data pipelining: Parquet? Did you use Pandas to manipulate your data? Did you optimise some aspects with C++? If so did you use PyBind11 to integrate it?
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