As computers become more and more powerful, scientific computing is becoming a more important part of fundamental research into how our world works. We can do more now than we could even imagine just ...

The Python ecosystem is loaded with libraries, tools, and applications that make the work of scientific computing and data analysis fast and convenient.

So an acquaintance started working as an intern in a small team of a national agency that does cool science-y stuff. Apparently they are trying to introduce Python for scientific computing, they ...

One of the big surprises of the past few years has been the spectacular rise in the use of Python* in high-performance computing applications. With the latest releases of Intel® Distribution for ...

ActiveState this week added open source packages for financial and scientific computing to its ActivePython distribution of the Python programming language. The move is being made as a result of ...

To start Jupyter at the Linux shell, type: jupyter notebook If it doesn't open automatically, try opening your browser to ...

Python is an extermely popular programming language that is ubiquitous in research computing. Depending on your use case, you may need to just run a simple python command or you may need to build a ...

Thanks to its rich set of tools and libraries you can use Python for just about anything -- from web development and data analysis to artificial intelligence and scientific computing.

An example of how variable computing environments can hinder collaboration. Suppose you have the latest versions of R and Python installed, but your collaborator has been slower to upgrade.