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b3m2a1
b3m2a1
02:41
@ChrisK I find that even writing basic docs takes longer than I have the patience for, which is what makes the automated approach appeal to me...
Maybe it's just that the ROI is never there...
Like I can document all my stuff but it still doesn't mean people will use it unless I also write up Q/As here on how it works but of late I've gotten tired of even doing that
 
5 hours later…
kirma
kirma
08:02
Arrrgh! Somehow Google has decided that I would be target audience for Atiyah's Riemann hypothesis "proof." It provides it over and over to me on my phone news feed.
Artificial stupidity at work.
 
8 hours later…
Chris K
Chris K
16:19
@b3m2a1 then again, without documentation the chance of people using your stuff is probably close to zero
Feeds
Feeds
17:17
wolfram's Twitch video RSS: Twitch Talks - Relational Database Integration - LIVE
posted on May 28, 2019

b3m2a1
b3m2a1
17:45
@ChrisK Maybe I am being pessimistic, but even with docs that's about where I peg the probability... On the other hand if docs are fast and simple to make then it's still worth making them to my mind.
If they're not, then I can sink the effort in, but it won't be enough without detailed tutorials and examples and answering questions with it here.
It's really I think that last one that gets people to use the code. You can have wholly undocumented stuff but if you show off examples of what it does by answering questions here people will probably still use it (just never go beyond the stuff you showed).
Edmund
Edmund
18:36
4
Q: Built-in function (or terse method) to convert from DateObject to Python datetime in Python?

EdmundWhen using the Wolfram Client Library for Python in a Python program there appears to be no built-in function to convert a DateObject in to a Python datetime object. from wolframclient.evaluation import WolframLanguageSession from wolframclient.language import wl, wlexpr wolfSession = WolframLa...

date-and-time python
Seems odd that there is no Wolfram DateObject to Python datetime conversion built-in.
Feeds
Feeds
18:59
wolfram's Twitch video RSS: Twitch Talks - Relational Database Integration
posted on May 28, 2019

Wolfram Research developers demonstrate the new features of Version 12 of the Wolfram Language that they were responsible for creating. Previously broadcast live on May 28, 2019 at twitch.tv/wolfram. For more information, visit: https://www.wolfram.com/language/12/relational-database-connectivity/?

Chris K
Chris K
19:50
@b3m2a1 Interesting thought... you might be right, given how a couple functions I wrote in answers attract follow-up questions on occasion.
b3m2a1
b3m2a1
@ChrisK I think this is something @Szabolcs can probably also validate. He of course also has very good documentation, but I'm willing to bet what differentiates something like IGraph/M with a huge number of stars on GitHub from something like LTemplate with still many, but fewer, is that IGraph/M sees much greater usage in answering questions here. Both are really powerful, well-documented, and well-written packages, but the former just gets more exposure.
Actually looking at the start numbers that may not be the best comparison...
I misremembered how many LTemplate had
My sense is that the former probably gets more use due to greater exposure, though. (also probably due to the fact that extending Mathematica with C++ is less common than needing to work with graphs).
Feeds
Feeds
Wolfram Blog: Automated Authorship Verification: Did We Really Write Those Blogs We Said We Wrote?
posted on May 28, 2019 by Daniel Lichtblau

Several Months Ago… I wrote a blog post about the disputed Federalist Papers. These were the 12 essays (out of a total of 85) with authorship claimed by both Alexander Hamilton and James Madison. Ever since the landmark statistical study by Mosteller and Wallace published in 1963, the consensus opinion has been that all 12 [...]

Stephen_Wolfram's Twitch video RSS: Live CEOing (252): Language Design in #WolfLang - LIVE
posted on May 28, 2019

b3m2a1
b3m2a1
20:09
@Feeds @DanielLichtblau this is probably the most technically correct description of how classifiers work I've ever read:
2 
The images are further processed to give much smaller lists of numbers (technical term: vectors), which are then fed into a machine learning classifier (technical term: black magic)
KraZug
KraZug
20:50
@halirutan , err, not sure? Probably a relatively old one. It currently doesn't think they are defined symbols at all. I'll try updating and see.
halirutan
halirutan
21:14
@KraZug github.com/halirutan/Wolfram-Language-IntelliJ-Plugin-Archive/…
halirutan
halirutan
21:27
@KraZug The step between the new version and the last 2.4.4 version is pretty big. I'm sure you need to File | Invalidate Caches & Restart and possibly setup the project-structure correctly.
If you run into problems, visit the Gitter channel.

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