Re: [Numpy-discussion] Creating a sine wave with exponential decay

(disclosure: I have been a long time maintainer of numexpr) An important thing to be noted is that, besides avoiding creating big temporaries, numexpr has support for multi-threading out of the box and Intel VML for optimal evaluation times on Intel CPUs. For choosing your best bet, there is no r

[Numpy-discussion] The FREE Demystifying Data Science Conference is happening again! July 30-31!!!

Metis is hosting our 3rd annual *FREE *Demystifying Data Science Conference July 30-31 from 10am - 5pm ET! There will be 16 interactive data science talks and 6 workshops led by industry-leading speakers. Experience

Re: [Numpy-discussion] Season of Docs applications

Hi all, Here is a short update on Season of Docs. We are very happy and impressed with the number and quality of tech writers who applied to NumPy and SciPy. We decided we would really like to accept more people than the number of slots Google is likely to give us. We have found some more funding

Re: [Numpy-discussion] Creating a sine wave with exponential decay

Hi Francesc, Those numbers are really eye-popping! But the formatting of the code as a string still bugs me a lot. Asking this as a totally naive user, do you know whether PEP523 (adding a frame evaluation API) would allow numexpr to have a more Pytho