For a data science interview, the six technical concepts I’ve mentioned are a must. Of course, it’s recommended you dive even deeper into Python and broaden your knowledge.

Data queries written in Python, a commonly used programming language, can grind data analytics platforms to a crawl, but a new platform may finally solve the Python efficiency problem.

In contrast, Python follows a multiprogramming paradigm, which makes it easy for developers to write concise code using syntactic sugar. Python was not built specifically for data science workloads, ...

With Google data science agent, one scientist estimated that their data processing time dropped from 1 week to five minutes.

JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team.