Passing lists in numba

If you plan to @jit() a Python function using numba, and one of the arguments is a list, it will be treated as an object, and the jit-ted function will probably be slower than the original. Instead, explicitly specify the argument data types (e.g. int32, double, unit64, etc.) within the @jit([data types]) declaration and, importantly, when calling the function, remember to convert the list into a numpy array of the data type specified in the jit declaration. For all your efforts, you should be rewarded with a good speed-up (if you have long-running loops).

Check whether the fonts are embedded in a PDF document

To check whether the fonts are embedded in a PDF document, do the following.

On Ubuntu

Run pdffonts mydoc.pdf at the terminal. It will show a table listing all fonts in the PDF document, and the 'emb' field is 'yes' if the font is indeed embedded.

Anywhere

Open the document in Adobe Reader, and select File...Properties. Under the 'Fonts' tab, you can see the list of fonts. Embedded fonts are followed by the phrase 'Embedded' or 'Embedded subset' within brackets.