He/Him | Data Scientist | Data Engineer | Coffee Fiend | Meetup Organiser | FOSS Contributor | Pythonista 🐍
Australia
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- Following 608
- Followers 202
- Likes 5,297
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My priorities are:
- Myself
- Family
- Work
- Meetups
- FOSS
If I haven’t replied, it is because I am attending to something higher on the list.
It’s wild, Meetups and FOSS are pretty much run on the workforce labour equivalent of spot instances with a bid price of $0.01
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Not all heroes wear capes. I’ve always said spreadsheets are gateway software development.
Yeah, so I helped the Excel team with this. Excited that it's out! techcommunity.microsoft.com/…
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Has anyone else ever thought about how nodes in a cluster never need couples therapy or HR involvement to mediate because they have an agreed protocol and communication style?
Just me?
The fact the we as a society have figured out how to communicate at the speed of light (fibre optics) and the speed of electricity over copper wire (1/3 speed of light) so a whole planet of distance doesn’t matter is phenomenal
Now the limiting factor is emotional intelligence.
Josh Peak retweeted
Python 3.11 is finally released. In the CPython release team, we have put a lot of effort into making 3.11 the best version of Python possible. Better tracebacks, faster Python, exception groups and except*, typing improvements and much more. Get it here:
python.org/downloads/release…
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Josh Peak retweeted
🤫
ALT someone passing a note to a person labeled "Data Scientists". The note reads "Linear Regression often performs as well as deep learning"
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Amazing and underrated interview with @nikitabase about the future of datastores.
It is a matter of time until Snowflake, Redshift and Databricks are all playing catch-up. As a consultant in Data & AI I am keeping at eye on @neondatabase.
I sat down with @alexbdebrie to talk about what's coming @neondatabase
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Josh Peak retweeted
babe are you ok? you’ve barely touched the dashboard you claimed was mission critical
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Josh Peak retweeted
Probably all the async things in Python that claim high performance (throughput), including @FastAPI, are just powered by this. 🌪
✨ Uvloop ✨ is the secret ingredient underneath all this (e.g. powering Uvicorn).
This is what makes Python a good alternative to NodeJS or Go. 🤓
uvloop 0.17 is here thanks to @fantix!
✅ Python 3.11 support
✅ Expose libuv's `uv_loop_t` pointer to make deeper and more low-level extensions possible
✅ Many bug fixes and improvements across the board
github.com/MagicStack/uvloop…
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Very much enjoying reading the early release content of “Scaling #MachineLearning on @ApacheSpark” by @AdiPolak
Truly amazing to get bleeding edge books with incremental chapter releases to provide the distilled narrative around complex topics.
learning.oreilly.com/library…
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Josh Peak retweeted
So here's a short #Python story. My 14 yo son made a game for the Pew Pew console, a tiny Dance Dance Revolution clone. He learned to program the console at @deshipu's workshop at @europython this year. The final DDR clone was just 100 LOC and worked fine but there was a problem.
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At first I thought this was a new way of describing types of trends in time series data. Eg
“I’m expecting interest rates to Cinderella but the economy is Man in a Hole”
There are just six basic emotional arcs for all stories:
1. Rags to Riches (rise)
2. Riches to Rags (fall)
3. Man in a Hole (fall rise)
4. Icarus (rise fall)
5. Cinderella (rise fall rise)
6. Oedipus (fall rise fall)
You can visualize arcs of novels here: hedonometer.org/books/v1/
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As a data professional, I am embarrassed with how little I knew about how pervasive @ApacheArrow is at making my life better until now. 👏
piped.video/YhF8YR0OEFk
Josh Peak retweeted
Gonna start a conference called #NormIPS that’s just presentations of middlebrow ML topics. “how to structure Python packages 2022”, “how many k-folds is too many”, “how to make the browser pop-up come up when the notebook is done running”, “putting features in Postgres”, etc.
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Josh Peak retweeted
After 2 years, Practical Deep Learning for Coders v5 is finally ready! 🎊
This is a from-scratch rewrite of our most popular course. It has a focus on interactive explorations, & covers @PyTorch, @huggingface, DeBERTa, ConvNeXt, @Gradio & other goodies 🧵
course.fast.ai/
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Really enjoying the detailed code along walkthroughs of @huggingface with "rupert ai" on YouTube piped.video/watch?v=vNKIg8rX…
#nlp #ml
Don't know when I started doing this but it is great to understand smaller pieces of a larger program by creating toy projects (experiments). It removes confounding clutter and context so you can focus on the exact problem in a much much sharper way.
debugging strategy: write a tiny program
ALT strategy: write a tiny program Does your bug involve a library you don't understand? illustration: person (thought bubble): UGH, `requests` is NOT working how I expected it to! I like to convert my code using that library into a tiny standalone program which has the same bug: illustration: giant buggy program (squiggly mess) -> 20 lines of buggy code (simple) I find this makes it WAY EASIER to experiment and ask for help.
Could the next #nlp tutorial please please please please NOT be sentiment analysis?
Surely there are other binary classifiers to teach?
or this might be far fetched… multi class classification?
🤯😱