Closed marianoguerra closed 3 years ago
🎥 Flow based programming video 10 via Maikel van de Lisdonk
Auto connecting nodes when dragging them onto the stage : https://youtu.be/EZtNgBM3osE .. In this codesandbox you can try it out yourself : https://codesandbox.io/s/flowrunner-canvas-wljy9
🎥 clojureD 2021: "Clerk: Local-First Notebooks for Clojure" by Martin Kavalar via Jack Rusher
And here's the second ClojureD video about our recent work at Nextjournal, this one concerning a soon-to-be-open source tool that brings graphical notebook functionality to your own favorite editor:
🎥 Glamorous Toolkit Live #6: Lepiter via Tudor Girba
We introduced Lepiter a couple of weeks ago, a new component of Glamorous Toolkit that unifies the spaces of Knowledge Management, Notebooks and IDEs. Here is a recording of a live session providing a tour:
🐦 Tweet from @roberthaisfield via Rob Haisfield
Looking for a research assistant. DM me a resume and/or portfolio if you’re interested. May be especially interesting for people interested in tools for thought and Web3. Here are some of the core questions we're pursuing:
What is the data structure of a graph built to facilitate collaborative knowledge synthesis? What sorts of implicit metadata could you capture from people's behaviors? How do you create powerful interfaces for structuring thought into a knowledge graph? What user behaviors are people doing already that specifies structure that is not being instantiated into a structure? https://twitter.com/roberthaisfield/status/1405557321074233344?s=21
🐦 Robert Haisfield (hiring a research assistant!): In August, I'll start a 6 month research project investigating decentralized discourse graphs / structuring knowledge such that it's queryable and promotes synthesis
I'm looking for a paid research assistant! Position will be an AWESOME portfolio piece. DM me for more details 🧵
Does anyone know of any tools that let you ‘trace’ and understand every function, variable, + state / values in a Python web app / project? I’ve found tools for logging and full on observability in production / monitoring but I want to be able to “do a few things” in the UI and then understand the Python code that was run. I’m also aware of step debuggers and breakpoints but is there anything that just captures the entire state of the Python app and lets me understand it as it changes over the span of 30 seconds. I”m well aware that this will likely generate a TON of data thats painful to understand, but I’ll cross that bridge then!
My motivation here is to understand a daunting code base for an open source project.
🔗 Dual via Cole Lawrence
Does anyone know much about Psionica?
https://psionica.org/docs/workshop/dual/
Amplifying knowledge work through user-defined assistants.
By Paul Bricman and Benjamin Leveritt
For starters, let’s say you’re a researcher in academia and want to teach your (virtual) assistant how to come up with research questions on different subjects. To best explain this task, you might choose to provide a few examples of what you consider to be good research questions.
📝 https://neilklingensmith.com/assets/papers/classicpapers/wulf-compilers-and-architecture.pdf via dnmfarrell
This classic paper by William Wulf enumerates some principles of computer architecture design that might be interesting for anybody building their own machine
🔗 GitHub Copilot · Your AI pair programmer via Florian Schulz
It was only a matter of time that all the code from Github would be paired with OpenAI: https://copilot.github.com
🔗 Hacker News folk wisdom on visual programming via Yusuke Shinyama
Different people imagine different things with the term "visual programming", but there are kind of common goals. This is a great read.
🔗 PLIE'21 - Call for Participation via Charlie Roberts
1st Workshop on Programming Languages and Interactive Entertainment (PLIE ’21).
🔗 RIGAMAJIG — cas holman via Tak Tran
This is what I imagine if FoC modular tools had a physical form: https://casholman.com/rigamajig - A lot more inspiration from Cas Holman’s portfolio. Also a netflix episode about her in Abstract: https://www.netflix.com/gb/title/80057883
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[x] focWeekExport 2021-04-19 2021-04-26
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