Sep 1 2026
Bad code is kudzu
Aug 12 2026
Write for people
Jun 15 2026
Running local models is good now
May 28 2026
We should be more tired than the model
May 18 2026
Tagging my blog posts with BERTopic and LLMs
Apr 20 2026
Build yourself flowers
Apr 13 2026
Mechanical sympathy
Apr 6 2026
On Programming Joy and Octocat
Apr 5 2026
NASA Elements of Engineering Excellence
Mar 4 2026
Antidote
Feb 21 2026
Querying 3 billion vectors
Dec 22 2025
2025 in review
Oct 20 2025
I want to see the claw
Sep 9 2025
Walking around the app
Sep 1 2025
How big are our embeddings now and why?
Aug 8 2025
Enabling Hugo static site search with Lunr.js
Jul 16 2025
My favorite use-case for AI is writing logs
Mar 17 2025
20 years of YC
Jan 23 2025
You can just hack on ATProto
Jan 14 2025
How FastAPI path operations work
Jan 3 2025
Everything I did in 2024
Dec 16 2024
Write code with your Alphabet Radio on
Nov 9 2024
Why are we using LLMs as calculators?
Sep 19 2024
Dead Internet Souls
May 25 2024
Don't worry about LLMs
May 6 2024
We've been put in the vibe space
Apr 25 2024
How I search in 2024
Apr 16 2024
Redis is forked
Mar 13 2024
Both pyramids are white
Feb 28 2024
GGUF, the long way around
Jan 15 2024
What's new with ML in production
Jan 5 2024
Retro on Viberary
Dec 11 2023
Why if TYPE_CHECKING?
Sep 13 2023
Build and keep your context window
Jul 18 2023
What we don't talk about when we talk about building AI apps
Jun 29 2023
Naming things
Feb 26 2023
What should you use ChatGPT for?
Jan 17 2023
Welcome to the jungle, we got fun and frames
Jan 10 2023
What I did in 2022
Dec 22 2022
Everything I learned about accidentally running a successful tech conference
Dec 5 2022
The cloudy layers of modern-day programming
Nov 18 2022
Some notes on the Stable Diffusion safety filter
Nov 10 2022
How I learn machine learning
Sep 10 2022
On the team as a system
Jul 26 2022
How to prepare an AWS test image for PyTorch
Jul 25 2022
Looking back at two years at Automattic and Tumblr
Feb 21 2022
On owning a software problem
Jan 9 2022
Git, SQL, CLI
Jan 8 2022
Migrating to Hugo
Jan 2 2022
2021 Work Recap, or the conjoined triangles of success
Nov 7 2021
The programmer's brain in the lands of exploration and production
Oct 28 2021
Recsys 2021 Recap
Oct 10 2021
Doing small, fun projects
Sep 23 2021
Reaching MLE (machine learning enlightenment)
Aug 5 2021
The local minima of suckiness
Jul 17 2021
Writing for distributed teams
Jun 20 2021
The ritual of the deploy
Jun 6 2021
The humble hash aggregate
Mar 26 2021
The ghosts in the data
Jun 9 2020
Getting machine learning to production
Feb 25 2020
Securely storing configuration credentials in a Jupyter Notebook
Feb 18 2020
Lauching a Jupyter notebook from within a virtual environment
Sep 11 2019
How to make sure your question gets answered online
Jul 8 2019
A deep dive on Python type hints
May 10 2019
IT runs on Java 8
Apr 29 2019
Breaking down Apple's iOS Screen Time report
Apr 11 2019
The attic and the basement of apps
Feb 13 2019
Data science is different now
Feb 10 2019
Commit to your lock-in
Sep 24 2018
The Case of the Broken Lambda
Sep 8 2018
On Excel and developer productivity
Jul 23 2018
Good small datasets
Jul 2 2018
One month with the 2017 MacBook Pro
Mar 12 2018
It's still hard for beginners to get started with Python
Feb 19 2018
Building a Twitter art bot with Python, AWS, and socialist realism art
Jan 28 2018
Working with AWS
Dec 11 2017
Data ex machina
Oct 12 2017
Recent podcast and radio appearences
Sep 26 2017
Alice in Python projectland
Jul 20 2017
Should Spark have an API for R?
Jun 19 2017
So, you want to data science
Apr 20 2017
Setting up SQL for beginners is hard
Mar 20 2017
Should you replace Hadoop with your laptop?
Feb 22 2017
Being a woman in programming in the Soviet Union
Feb 1 2017
What should you think about when using Facebook?
Oct 6 2016
Strata 2016 and the rise of New Data
Aug 28 2016
How to parse emails with Python
Aug 24 2016
Walkthrough of Jupyter Lab Alpha
Aug 19 2016
My recent experiences using Azure ML
Jul 7 2016
Why doesn't MySQL have window functions?
Jul 4 2016
Data strategy in 2016
Jun 23 2016
How to keep up with the data industry today?
Apr 20 2016
Building presentations the hard way with reveal.js and Jupyter
Apr 9 2016
Learning tech by analogy
Apr 7 2016
Content is dead. Long live filler!
Mar 29 2016
Starting to dig inside Spark RDDs
Sep 9 2015
Let's work on the hard stuff
Aug 26 2015
How non-technical teams work together
Aug 24 2015
Generating fake Hacker News headlines with Python
Aug 4 2015
How large should your sample size be?
Jul 28 2015
Who is doing this to my internet?
Jul 8 2015
Cumulative totals three different ways in data science
Jun 15 2015
How many people are actually using your stuff?
Jun 9 2015
Really easy data concepts that get abused all the time
Jun 2 2015
Creating readable SQL.
Jun 1 2015
How to get into big data
May 31 2015
I'm not so sure about Tufte
May 30 2015
Man, do static sites suck.