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What better way to spend Friday afternoon than watching me talk about Chapter 7 of Probably Overthinking It?

"Causation, Collision, and Confusion"

youtube.com/watch?v=8rUm46mk0Y

I was at Google today to give a talk about Chapter 7 of Probably Overthinking It: Causation, Collision, and Confusion.

I'll post the video when it's available, but in the meantime, the slides are here: docs.google.com/presentation/d

I have set up Mixtral 8x7B to generate Spanish example sentences for my Anki deck and I came across one that seems to randomly be in Catalan. Fun times.

Any folks know of a library for drawing pretty-looking, clean boxes arranged in various patterns?

I am looking to make some simple images like this to demonstrate addition, subtraction, multiplication, etc.

Bonus points if it has support for some existing pedagogical framework (e.g. "ten frames").

Of course, a countervailing force here is that they are also stupidly good at translation, so the utility of actually learning another language is reduced.

They can explain nuances in a way that automatic sentence-to-sentence translation can't, and you can give them enough context to let them know how to select the right way to translate what you want to say into idiomatic speech.

Of course, you will sound like an obsequious PR person if you don't take steps to avoid that. 😛

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As I've been learning Spanish these past months, I am almost compelled to create an LLM-powered language learning application. It is really hard to do spaced repetition without it turning into a grind, and the ability to create (and parse!) custom, idiomatic text programmatically could be an absolute game changer here.

They are also really good at answering questions about how language use and I haven't noticed much (anything?) in the way of hallucination with frontier models.

Happy Friday Python Friends (and non-Python Friends too)!

I'll be attending my first-ever PyCon US this year, so if we haven't seen each other in a while, let's meet up!

🎲 Do you like Python's little CLIs? For example:

$ python -m http.server
$ python -m webbrowser python.org
$ python -m uuid
$ python -m calendar

What about adding one to `random`?

$ python -m random curry "fish n chips" tacos
curry

$ python -m random 6
6

$ python -m random 2.5
1.6423361547011504

Give your feedback on my proposal at
discuss.python.org/t/command-l

If there's support we *might* be able to get it into 3.13 before May's beta cutoff! 🤞

#Python #Python313 #CLI #random

In Python 3.11+ datetime.datetime.fromisoformat( accepts any number of decimal places in the seconds component, extra digits are truncated (not rounded)

>>> datetime.datetime.fromisoformat('2011-11-04T00:05:23.1234567Z')
datetime.datetime(2011, 11, 4, 0, 5, 23, 123456, tzinfo=datetime.timezone.utc)

gist.github.com/moreati/85de3f #TIL #Python

Quick #Python packaging tip: if you ever find yourself wanting to type `import src.anything` or `from src import anything`, turn back. `src` should never be part of an import.

Now I just need to figure out why my server computer freezes up whenever I turn off the monitor it's connected to and I'll be a happy man. 😅

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For the past few years, my computers have failed to wake up the large 4k monitor connected to my dock, which has been a source of great annoyance to me.

Just a few days ago I came across something that suggested maybe the issue was that the monitor needs HDMI 2.0+, so I bought a newer HDMI cable and now it works perfectly, so if you are having a similar problem, might be a good idea to try a newer cable.

Anyone know if there is a gym in that is reasonably close to the convention center that will sell me a short term membership while I'm at PyCon?

A cable machine, dumbbells and an elliptical is enough to do my whole workout.

I recently optimised .startswith() and .endswith() to be more than 4x faster than before. Before, a bulky slice-and-comparison operation (s[:n] == other) would be faster; now the idiomatic variant is faster. Keep on writing idiomatic code!

- PR: github.com/python/cpython/pull

Extremely excited to share my team at NVIDIA is hiring for a full time role working on ✨ open source Python packaging projects ✨ like Warehouse, pip, and more!

If you are or know someone excited about open source Python development, especially focusing on open source packaging projects, please take a look! And if you have any questions for me, please reach out.

Please boost for spread!

nvidia.wd5.myworkdayjobs.com/e

#python #opensource #getfedihired #fedijobs

Senior System Software Engineer - Open Source Python Ecosystem

Are you a Python developer with a taste for open-source Python development? We are seeking a System Software Engineer to help us expand our open-source Python packaging ecosystem engagement. As NVIDIA grows its enterprise support matrix, supporting the open-source Python packaging community becomes increasingly critical to delivering reliable software releases at scale. We are investing in solving these challenges in partnership with the open-source community through long-term engagement and automation. If you are passionate about engaging with open-source communities and enjoy developing robust long-term solutions to highly visible problems, you may be a phenomenal fit for our team! What you’ll be doing: Contributing to the development of the open-source Python packaging ecosystem such as PyPI's Warehouse. Working with internal teams to understand their Python use cases. Meeting with open-source community members to adopt their design philosophies in our code. Authoring, contributing to, and implementing PEPs (Python Enhancement Proposals). Monitoring, maintaining, and improving existing Python wheel release automation pipelines. Provide important metric data-points for your area of expertise. Our team oversees installer creation and release for many business areas of NVIDIA. We are essential to delivering software updates for CUDA and beyond. Your role will add to NVIDIA's open-source community engagement while extending our Python wheel support to new software products. Your work to tackle open-source Python packaging challenges will make delivering Python easier for developers worldwide. What we need to see: BS/MS degree in Computer Science or related areas or equivalent experience. 5+ years experience working on software deployment in a Python ecosystem. Recognition in the open-source Python software community. Strong expertise in Python development. In-depth understanding of the PyPI warehouse codebase and pip package manager. Be self-motivated, have strong interpersonal skills, and be able to work independently with multiple teams with minimal direction. Ways to stand out from the crowd: Contributions to open-source Python packaging projects. Demonstrated ability to abstract technical complexity into automation. Experience with CI/CD infrastructures (Jenkins or Gitlab preferred). NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

nvidia.wd5.myworkdayjobs.com

When you say #PiDay, I hear #PyDay. Let's celebrate this day with a special episode with a special guest: sitting Steering Council member and #Python core developer, Emily Morehouse-Valcarcel!

We're talking about the Steering Council, progress bars, least and most favorite parts of Python, and of course, assignment expressions.

I'd use a walrus emoji, but the best we've got is a tuskless seal! 🦭 There's no anonymous crow either...

podcasters.spotify.com/pod/sho

Episode 9: Py Day with Emily Morehouse-Valcarcel by core.py

Let's talk about the Steering Council, running a small consultancy business, the Walrus, and pet peeves with our special guest today! ## Outline (00:00:00)  INTRO (00:00:56)  PART 1: Emily Morehouse (00:02:15)  Running a small consultancy business (00:04:39)  What features of JS do you miss in Python? (00:05:50)  Łukasz outnumbered in a world of Steering Council members (00:06:12)  Upgrading to new Python versions (00:07:00)  It depends on who deployed the project (00:09:44)  Second term as a Steering Council member (00:11:33)  Barry, play some bass for us (00:13:04)  Let's hear a recent war story (00:15:17)  Is this progress bar even working? (00:17:40)  The Villain Origin Story (00:21:37)  Emily, The Bringer of Doom (00:22:37)  Consensus within the Steering Council (00:25:52)  Syntax changes in Python are rare, right? Right? (00:28:22)  On implementing PEP 572 (00:32:52)  How would PyCon 2020 in Pittsburgh feel? (00:34:18)  How can you be mad about the Walrus? (00:36:10)  Favorite parts of the standard library (00:38:10)  Is hacking on Python a good experience to newcomers? (00:40:26)  Emily's pet peeve about Python, take 1 (00:42:17)  Emily's favorite change in Python in recent years (00:44:34)  Emily's pet peeve about Python, take 2 (00:46:34)  Łukasz's pet peeve (00:48:25)  Surprise extra question (00:49:42)  At core.py we are professionals (00:51:00)  PART 2: PR of the Week (00:54:00)  CALL TO ACTION: Upgrade Python.org to Django 4! (00:56:22)  PART 3: What's Going On in CPython? (00:56:38)  Faster Python updates (01:00:10)  Free threading: GIL can be disabled but we're not done yet! (01:04:17)  New defaults for SSL context flags (01:05:39)  python -m asyncio and sys.__interactivehook__ (01:06:24)  Surprise question: what is sys.__interactivehook__ even doing? (01:08:11)  OUTRO

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