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Today I failed to videocall a prospective landlord.
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To showcase the real-life usefulness of Duckdb (and SQL-adjacent Domain Specific Languages in general) I decided to use the public datasets made available by the Massachusetts Bay Transport Authority (MBTA).
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At some point I was struggling to get access to my Gmail account.
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I use dired-do-shell command in Emacs to run CLI commands from within its file manager dired.
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Duckdb, the (tabular) data exploration tool I use supports window operations.
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To solve a multitude of challenges I have faced when processing high throughput microscopy data, have developed Nahual, a tool that allows me to move data across multiple Python environments that deploy deep learning models in the background.
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I wanted a simple way to see the progress of a data processing pipeline, and the internal progress bar tools were messed up by threading.
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I was editing some markdown and had to insert a new figure in the middle.
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I needed to rename all occurrences of a pattern with another, where I knew there was no ambiguous situations.
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One of the common challenges when analysing large bioimaging datasets is to bring it all together in one place.
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Create an empty branch with one empty commit Create new branch git checkout --orphan review-1-target Reset git reset .