Blogging Away Again in Devcontainerville
Searching for… a way to be able to edit in VS Code and push to Glich via git.
What I really want is to be able to have a local git project that I can push to GitHub or equivalent what will wind up here. But today I should get back into Grist and figure out how to not be you@example.com in a docker instance.
But first, there's a storm coming and so that's front of mind for now.
Synthetic Data Vault (SDV) is a Python library designed to be your one-stop shop for creating tabular synthetic data. The SDV uses a variety of machine learning algorithms to learn patterns from your real data and emulate them in synthetic data.
A really fascinating video about creating an Arduino project shield from conception to sending the PCB design to PCBWay.
“Be a Revolution: How Everyday People Are Fighting Oppression and Changing the World—and How You Can, Too,” Ijeoma Oluo, The Appeal, 28 February 2024
I have to say that the self-hosting guide for Grist didn't cover the,
"I'm just trying it out in docker" use-case where you just don't want to
have you@example.com
as the e-mail associated with whatever you create in the thing.
A little searching around revealed that in the scroll down on the GitHub page,
is a section on Logins
that covers probably the most common self-hosted use case. The solution was to
include in the docker run
the environment variable parameter with the e-mail you
want to use, e.g. --env GRIST_DEFAULT_EMAIL=my@email
. It has to become before
any other parameters, apparently.
I will look at getting Dex hooked up, since I am on Windows and maybe it'll just let my logged-in user through. Although, looking at the getting started maybe this is way more ass than I need.
Grist Omnibus This is an experimental way to install Grist on a server quickly with authentication and certificate handling set up out of the box.
Ingestr is a command-line application that allows you to ingest data from any source into any destination using simple command-line flags, no code necessary.
✨ copy data from your database into any destination
➕ incremental loading: append, merge or delete+insert
🐍 single-command installation
ingestr takes away the complexity of managing any backend or writing any code for ingesting data, simply run the command and watch the data land on its destination.
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