Entries tagged speaking, datasette
Filters: Type: entry × speaking × datasette × Sorted by date
Weeknotes: Parquet in Datasette Lite, various talks, more LLM hacking
I’ve fallen a bit behind on my weeknotes. Here’s a catchup for the last few weeks.
[... 769 words]Data analysis with SQLite and Python for PyCon 2023
I’m at PyCon 2023 in Salt Lake City this week.
[... 347 words]Weeknotes: Datasette Lite, nogil Python, HYTRADBOI
My big project this week was Datasette Lite, a new way to run Datasette directly in a browser, powered by WebAssembly and Pyodide. I also continued my research into running SQL queries in parallel, described last week. Plus I spoke at HYTRADBOI.
[... 1434 words]Weeknotes: datasette-indieauth, datasette-graphql, PyCon Argentina
Last week’s weeknotes took the form of my Personal Data Warehouses: Reclaiming Your Data talk write-up, which represented most of what I got done that week. This week I mainly worked on datasette-indieauth, but I also gave a keynote at PyCon Argentina and released a version of datasette-graphql with a small security fix.
[... 724 words]Personal Data Warehouses: Reclaiming Your Data
I gave a talk yesterday about personal data warehouses for GitHub’s OCTO Speaker Series, focusing on my Datasette and Dogsheep projects. The video of the talk is now available, and I’m presenting that here along with an annotated summary of the talk, including links to demos and further information.
[... 5166 words]Weeknotes: datasette-dump, sqlite-backup, talks
I spent some time this week digging into Python’s sqlite3 internals. I also gave two talks and recorded a third, due to air at PyGotham in October.
[... 928 words]Better presentations through storytelling and STAR moments
Last week I completed GSBGEN 315: Strategic Communication at the Stanford Graduate School of Business.
[... 643 words]Notes from my appearance on the Changelog podcast
After I spoke at Zeit Day SF last weekend I sat down with Adam Stacoviak to record a 25 minute segment for episode 296 of the Changelog podcast, talking about Datasette. We covered a lot of ground!
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