Guido van Rossum ✓

@gvanrossum · San Francisco Bay Area · joined 11 Aug 2008

Python's BDFL-emeritus, Computer History Museum Fellow. Opinions are my own. He/him.

307 765Followers

482Following

3 718Posts total

169.1KViews on collected posts

Latest posts

Guido van Rossum ✓@gvanrossum5 Aug

@gvanrossum @samuelcolvin Wrong slack channel 640 views · 5 likes · 0 reposts · 0 replies Open on X →

Guido van Rossum ✓@gvanrossum4 Aug

@gvanrossum @samuelcolvin cibuildwheel should be updated and out by tomorrow, so non Rust stuff can start shipping too. Pyemscripten 3.15 should land at the same time, for the first time. 2.5K views · 7 likes · 0 reposts · 1 replies Open on X →

Guido van Rossum ✓@gvanrossum4 Aug

@gvanrossum I'll do my best to get them for you tomorrow. cc @pydantic 4.2K views · 100 likes · 0 reposts · 1 replies Open on X →

Guido van Rossum ✓@gvanrossum4 Aug

@samuelcolvin When do we get Pydantic wheels for Python 3.15? 3.15 rc1 is out today, which should be virtually identical to the final release (we're very strict about this). Uv can't seem to build it from source using the latest Rust compiler. 62.7K views · 318 likes · 6 reposts · 12 replies Open on X →

Guido van Rossum ✓@gvanrossum15 Jul

Fantastic opening keynote by Imogen Wright! Let’s look at “AI” as Aggregated Human Intelligence. And continue gardening complex systems. @europython 11.5K views · 61 likes · 7 reposts · 4 replies Open on X →

Guido van Rossum ✓@gvanrossum13 Jul

Clever space-saving stairs design in my hotel. https://t.co/Lu0nTm45bp

32.1K views · 189 likes · 8 reposts · 38 replies Open on X →

Guido van Rossum ✓@gvanrossum13 Jul

Here’s really neat article in the FT about the trials and tribulations of open source maintainers in the face of AI contributions: https://t.co/aevLRou9uA (Hopefully the link works) 18.1K views · 66 likes · 11 reposts · 6 replies Open on X →

Guido van Rossum ✓@gvanrossum8 Jun

@gvanrossum Hola @gvanrossum, he descubierto que el blasón de mi familia (con dos serpientes en espejo que evocan un flujo toroidal) guarda una simetría asombrosa con el logotipo de Python. ¡La herencia y la tecnología conectadas!" https://t.co/glEXuiDt07

68 views · 1 likes · 0 reposts · 0 replies Open on X →

Guido van Rossum ✓@gvanrossum27 May

@gvanrossum Would be good if typeagent also picked up typos 1.1K views · 1 likes · 0 reposts · 1 replies Open on X →

Guido van Rossum ✓@gvanrossum27 May

@gvanrossum nice ive done a lot of work on rag with these huggingface static embedding models eg lee101/public-static-modern-bert i find them really good basically managed to optimize them a lot into lee101/gobed but can bring that back to python, int16 tokenizer and 512 int8 em 1.4K views · 3 likes · 0 reposts · 0 replies Open on X →

Guido van Rossum ✓@gvanrossum27 May

I've released a new version of typegent. I'm taking a step away from it over the summer; enjoy the new pipelining ingestion design! pip install -U typeagent uv add typeagent https://t.co/ki2wLf1AFx 34.8K views · 313 likes · 35 reposts · 8 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views11 502this account6 365median for 100K–1M

Reach, %3.74%this account1.84%median for 100K–1M

Engagement, %0.63%this account1.15%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	11 502	6 365	1.81×
Reach (views ÷ followers)	3.74%	1.84%	2.03×
Engagement rate	0.63%	1.15%	0.55×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

34.8K27 May

1.4K

1.1K

688 Jun

18.1K13 Jul

32.1K

11.5K15 Jul

62.7K4 Aug

4.2K

2.5K

6405 Aug

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.02%27 May

0.21%

0.19%

1.47%8 Jun

0.46%13 Jul

0.73%

0.63%15 Jul

0.54%4 Aug

2.42%

0.32%

0.78%5 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.15%.

What the audience does

Likes72.6%1 064 in total

Reposts4.6%67 in total

Replies4.8%71 in total

Bookmarks18.0%263 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Similar accounts