On Aug 27, 2019, at 4:11 PM, Roger Henderson <hendorog@...> wrote:
Great tip Vince, thanks!
I probably need to do one of those courses, as I don't know python either, I just figure it out as I go. The libraries are so comprehensive now that it is very easy to get a result with a couple of lines of code.
Here is an example of a gated time domain transform on a measurement, I copied it from an scikit-rf example and just substituted one of my data files to see if it would work:
So the point is, its not hard to dive in and get something working quickly - and then tinker with it to understand it properly.
Also Jeff uses Matlab, but some might not be aware of GNU Octave. That is a free, compatible Matlab alternative - as Matlab is very expensive unless you are in an education environment.
Roger
On Wed, 28 Aug 2019 at 03:36, Vince Rooney <vince@...> wrote:
For anyone interested in brushing up on their Python skills, there are many "free" courses available on Udemy if you know where to look. When new courses are offered to the service, a percentage of them are offered for free as "marketing". Normally this information was only available to students of those instructors or services. There is a website called "discudemy.com" that curates these courses by language. You will need to first create an Udemy account if you don't already have one so they can be saved to your account. Note the courses are available for a limited time or until they run out. You want to locate the courses that have a price associated to them and are they marked down to $0. These are usually the full course. Courses without a price are usually "intros" with little content but worth a look as it may be a new instructor. Also look at the reviews.
Steps:
Create an Udemy account
Goto discudemy.com and choose your language then search for a topic
There are normally several pages. The front page is current, back pages may be "expired" offerings.
Happy Hunting!
73, Vince
On 8/27/19 10:18 AM, Jeff Anderson wrote: Jerry, thank you very much for the link to the paper by Thomas Baier.
I'm glad to see that Dick's and Thomas Baier's results are the same. Always a good test!
Some years ago I took a short MOOC (massive open on-line course) on
Python, but I haven't used it since, and thus much of what I picked up as leaked out since then.
I use Matlab a bit more often, so I've retained more of its
idiosyncrasies -- it can be very useful for these sorts of calculations, and handles complex numbers easily.