Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...

One might hypothesize that this growth is coming at the expense of Python, by far the dominant language for data science. But some evidence suggests that data scientists are increasingly using both.

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 science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...

Netflix's data-science team has open-sourced its Metaflow Python library, a key part of the 'human-centered' machine-learning infrastructure it uses for building and deploying data-science ...

Python was not built specifically for data science workloads, but it does include many features that make it easy to code against data science workloads such as read-eval-print loops, notebooks and ...

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

How to build AWS functions in Python. To build your first Python based AWS Lambda function, follow these steps: Log into the AWS console and navigate to the Lambda dashboard. Click the orange Create ...

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? This question was originally answered on Quora by Tikhon Jelvis.