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

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and projects make data science easier to under ...

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 ...

Here are 10 startups with leading-edge data science and machine learning technology that have caught our attention (so far) this year.

With organizations increasingly turning to data science to derive business value, the tools that support the work are proliferating. Here are the key tools successful data scientists rely on.

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.

New tools bundle data cleanup, drag-and-drop programming, and the cloud to help anyone comfortable with a spreadsheet to leverage the power of data science.

Those with a computer science degree can pursue careers in software engineering, data science, cybersecurity, AI, tech ...

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.

All you need to know about the basics of data science, from its function in the enterprise to the vendors that support it in the cloud.