Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebooks are useful in all kinds of ways for all kinds of projects.

Peter Wang, co-founder and CEO of Anaconda, maker of the popular Anaconda Python distribution for data science, cringes at Python's limitations for building desktop and mobile applications.

Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: Data visualizations.

Java versus Python analysis Some Python supporters complained that an honest comparison of Java’s scripting features against Python’s scripting features would be unfair to the snake. Compare ...

Zato is an open-source ESB and application server written in Python. It is designed to integrate systems in SOA and to build backend applications (i.e. API only).

Controller provides a central management and control plane for applications (no matter where they are deployed) and Unit is a modern application server for applications written in PHP, Python and ...

But alongside its benefits, Python has a major shortcoming: It’s relatively slow, which affects the performance of AI applications written in the language. Modular developed its Mojo language as ...

Python creator Guido van Rossum reveals the strengths and weaknesses of one of the world's most popular programming languages.

Ever since the company launched the Google App Engine, a service for running Web applications written in Python on Google’s servers, last April, developers have been calling for Google to ...

GraphQL is a widely used tool allowing applications written in different programming languages to talk to one another.

What are the first steps when using multiple programming languages? What are the final steps needed with applications written in multiple languages? In Part 2 of this series, MathWorks' Heather ...