Although Julia is purpose-built for data science, whereas Python has more or less evolved into the role, Python offers some compelling advantages to the data scientist.

Data science tends to use Python, although we aren’t sure why that is. However, you might look into the Python Data Science Handbook and Think Stats to apply what you’ve learned about data ...

Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit.

Data Science for Beginners This insightful read digs deeply into Python and Data Science principles and was written with a newbie in this field in mind. This book on data science will assist you ...

To help you in your data science career, I’ve prepared the main Python concepts tested in the data science interview.

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 workflows.

New extension pack bundles wildly popular tools for Python development, assisted by the AI-powered GitHub Copilot and a data wrangler.

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.

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.