Entries tagged datasette, sql
Filters: Type: entry × datasette × sql × Sorted by date
Joining CSV files in your browser using Datasette Lite
I added a new feature to Datasette Lite—my version of Datasette that runs entirely in your browser using WebAssembly (previously): you can now use it to load one or more CSV files by URL, and then run SQL queries against them—including joins across data from multiple files.
[... 546 words]Datasette on Codespaces, sqlite-utils API reference documentation and other weeknotes
This week I broke my streak of not sending out the Datasette newsletter, figured out how to use Sphinx for Python class documentation, worked out how to run Datasette on GitHub Codespaces, implemented Datasette column metadata and got tantalizingly close to a solution for an elusive Datasette feature.
[... 2164 words]Django SQL Dashboard 1.0
Earlier this week I released Django SQL Dashboard 1.0. I also just released 1.0.1, with a bug fix for PostgreSQL 10 contributed by Ryan Cheley.
[... 629 words]Django SQL Dashboard
I’ve released the first non-alpha version of Django SQL Dashboard, which provides an interface for running arbitrary read-only SQL queries directly against a PostgreSQL database, protected by the Django authentication scheme. It can also be used to create saved dashboards that can be published or shared internally.
[... 2171 words]How much can you learn from just two columns?
Derek Willis shared an intriguing dataset this morning: a table showing every Twitter account followed by an official GOP congressional Twitter account.
[... 951 words]Using SQL to find my best photo of a pelican according to Apple Photos
According to the Apple Photos internal SQLite database, this is the most aesthetically pleasing photograph I have ever taken of a pelican:
[... 1937 words]Weeknotes: datasette-template-sql
Last week I talked about wanting to take ona a larger Datasette project, and listed some candidates. I ended up pushing a big project that I hadn’t listed there: the upgrade of Datasette to Python 3.8, which meant dropping support for Python 3.5 (thanks to incompatible dependencies).
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