Mariano Guerra 2022-02-15 14:57:40 Andrew F 2022-02-15 21:04:14 That Effection library looks pretty neat. I'll have to consider using it in my current project.
Mariano Guerra 2022-02-15 16:08:11 Vladyslav Sitalo 2022-02-16 07:35:12 oh, Kotlin support finally, I remember being a bit reluctant to explore it more bc of java as a base language!
Shubhadeep Roychowdhury 2022-02-17 06:01:29 Deepak Karki 2022-02-18 19:28:36 https://www.youtube.com/watch?v=KvMnpVMp0jk
Programming Tools for the Future of Data Science
In the future, anyone will be able to write programs that are currently the exclusive domain of advanced programmers. For now, there’s still a big gap between the programming skills of occasional programmers - social scientists, journalists, data scientists - and the skills required to write the programs they want. However, the need is pressing; while there are about 20 million programmers in the world, there are now at least twice as many end users writing code to work with data. In this talk, I’ll describe Helena, an ecosystem of programming languages and programming tools that I have used to study how we can support social scientists programming needs. Non-programmers use Helena to collect datasets from the web and, more broadly, to develop custom web automation programs. It brings together the following key innovations: (i) The Helena programming environment uses Programming by Demonstration (PBD); it takes a single-shot learning approach, synthesizing scripts based on recording a single user demonstration. (ii) Helena’s adaptive replayer makes scripts robust to webpage redesigns and obfuscation, which enables longitudinal experiments. (iii) With novel language constructs, non-coders can conduct programming tasks usually limited to expert programmers - e.g., failure recovery, parallelization.
Christopher Galtenberg 2022-02-19 22:45:15
🐦 Will Crichton: Taking a mathematical perspective often helps create new features. For instance, once you look at tuples as products, then you ask: what's 0, 1 and +? Thus an algebra is born.
Orion Reed 2022-02-19 23:13:33 This is a really great thread! I like the split he makes around existing hardware vs formal reasoning, I'd love to think and explore what else fits nicely into that ontology. I suspect there's a lot.
Andrew F 2022-02-20 00:08:31 You could summarize a large part of my goals as trying to unify those two branches.
Konrad Hinsen 2022-02-20 08:20:16 A very good thread, thanks for the pointer. I couldn't stop myself from jumping in 😉 I have been thinking in this space as well for a long time, though contrary to Andrew F, I am not out to unify the two branches, but to exploit their complementarity. One reason is that I see the two branches as much more fundamental than their manfestation in software. For example, the experiment/theory distinction in science is very similar. Experiment explores the "existing hardware" of nature, whereas theory builds model to reason about nature.
Cole Lawrence 2022-02-20 17:51:07 Anyone seen many other active projects like this two-way synchronization protocol?
https://docs.atomicdata.dev/atomic-data-overview.html
We’re working on something similar called the Block Protocol, and I’d love to see how others here would categorize these kinds of projects and the challenges of specification.
Kartik Agaram 2022-02-20 18:46:11 Kartik Agaram 2022-02-20 19:37:11 I lack context since I've never used Blender. But it seemed quite tantalizing as a visual way to program a computer. That already exists.
