x = np.array([_ for _ in range(1000)]) This works, but its performance is hidebound by the time it takes for Python to create a list, and for NumPy to convert that list into an array. By contrast ...

The front end interacts with (and most often is dynamically created by) the back-end, which can be programmed in Perl, Python, Ruby (or Java, C++, Smalltalk, Lisp, etc.). Hobbs: JavaScript is just ...

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports. There’s an intriguing new option for people ...