The Hitchhiker’s Guide to Plotnine by Jodie Burchell and Mauricio 'Pacha' Vargas Sepúlveda is free with a Leanpub Reader membership! Or you can buy it for $10.00! http://leanpub.com/plotnine-guide #DataScience #Python

This governance work by @pyladies is truly top notch. The evolution of their governance as the project grows and matures is exactly the way a #FOSS community should operate.

https://pyladies.com/blog/A-New-Era-of-Transparency/transparency/

#OpenSource #Python

Having optimized a fair bit of stuff, the current paper cut I want to solve is having to constantly update things like:

- pnpm version in Node (and keeping it aligned with other developers and the build process)
- pip and python especially as it seems to leave you in situations where you have pip and pip3... I would love one python in total, please

Anyone solved this stuff gracefully?

#node #nodejs #python #python3

Mega Bundle 1 https://leanpub.com/b/megabundle1 by Jason Turner is the featured bundle of ebooks 📚 on the Leanpub homepage! https://leanpub.com #CAndCpp #ComputerProgramming #Games #Python #books #ebooks lefticus@mas.to

Hey #python folks -- what's everyone's favorite python profiling tools these days? My goal is to capture data during a run so I can shove it in a flamegraph and identify where the actual bottlenecks are.

Thanks!

Advanced Conformal Prediction:Practical Uncertainty Quantification for Real-World ML by Valery Manokhin is on sale on Leanpub! Its suggested price is $44.95; get it for $31.96 with this coupon: https://leanpub.com/sh/r7itvsfg #Python #MachineLearning #DataScience

Advanced Conformal Prediction:Practical Uncertainty Quantification for Real-World ML by Valery Manokhin is on sale on Leanpub! Its suggested price is $44.95; get it for $31.96 with this coupon: https://leanpub.com/sh/hvK35NST #Python #MachineLearning #DataScience

Once again I demonstrate that I do not know how to use social media, not even Mastodon. Let me try that again properly with the relevant metadata: I have done my first post-ZeroVer release of #DBXS, an #OpenSource #Python raw #SQL #database access library. If that collection of hashtags seems interesting to you, perhaps check it out!

GitHub Actions is dropping Intel macOS by November.

(Cirrus dropped it in Dec 2022, CircleCI in June 2024, Travis CI dropped all(!) macOS in April, and Anaconda last week.)

CPython has dropped it to tier 2. What does this mean to you? Not too much; we still support it, produce installers, CI failures block releases.

It means we only test on buildbots and failures must be fixed/reverted within 24h rather than immediately.

https://discuss.python.org/t/dropping-intel-mac-to-tier-2/102100

#Python #CPython #macOS #Intel #GitHubActions

Real World Python http://leanpub.com/set/leanpub/realworldpython by Lukas Rieger and Christian Mayer is the featured Track of online courses on the Leanpub homepage! https://leanpub.com #courses #python #pythonprogramming

Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools https://leanpub.com/gispro by Qiusheng Wu is the featured book on the Leanpub homepage! https://leanpub.com #Python #books #ebooks #GIS #geography #science

Find it on Leanpub!

@glyph @hynek it'd be interesting IMO to see the breakdown of how many people use YouTube by level of experience. My hypothesis is that there's a (positive) correlation between level of experience and preference for written documentation over video documentation - I think videos are reasonably well suited for tutorials (if you are the type of person who can learn from a video at all) but poorly suited for the reference documentation that more experienced devs are more likely to use.

#Python #programming

Okay so I am putatively a #Python #ThoughtLeader ™ so perhaps I should go through and give this a non-jokey read-through, and share some impressions: https://lp.jetbrains.com/python-developers-survey-2024/

I really appreciate that they do these every year.

Ultimate ML interpretability bundle: Interpretable Machine Learning + Interpreting Machine Learning Models With SHAP https://leanpub.com/b/interpretability by Christoph Molnar is the featured bundle of ebooks 📚 on the Leanpub homepage! https://leanpub.com #DataScience #Python #MachineLearning

Mastering Modern Time Series Forecasting + Mastering Catboost https://leanpub.com/b/mastering_modern_time_series_forecasting_and_catboost by Valery Manokhin is the featured bundle of ebooks 📚 on the Leanpub homepage! https://leanpub.com #ComputerScience #MachineLearning #Mathematics #Python #DataScience #DeepLearning #Education #books #3books

Mastering Modern Time Series Forecasting by Valery Manokhin is on sale on Leanpub! Its suggested price is $54.95; get it for $42.46 with this coupon: https://leanpub.com/sh/BhXjxRf5 #ComputerScience #MachineLearning #Mathematics #Python #DataScience #DeepLearning #Education

Discrete Mathematics for Computer Science https://leanpub.com/discrete-math by Marie Brodsky, Alexander Golovnev, Alexander S. Kulikov, Vladimir Podolskii, and Alexander Shen is the featured book on the Leanpub homepage! https://leanpub.com #Mathematics #Python #ComputerScience

Find it on Leanpub!

Mastering Modern Time Series Forecasting + Advanced Conformal Prediction + Probabilistic Forecasting with Conformal Prediction in Python https://leanpub.com/b/forecasting_conformalprediction_probabilistic_forecasting by Valery Manokhin is the featured bundle of ebooks 📚 on the Leanpub homepage! https://leanpub.com #ComputerScience #MachineLearning #Mathematics #Python #DataScience #DeepLearning #Education #books #ebooks

If you care about the future of #python and @ThePSF then you're going to want to vote in this year's board election. Good news! You still have time to become a member and affirm your intention to vote. The deadline is Tuesday, August 26th, 2:00 pm UTC but don't leave it to the very last minute!

https://www.python.org/psf/membership/supporting/

Practical MCP: A Python Developer's Guide by Arjuna Sky Kok is on sale on Leanpub! Its suggested price is $29.00; get it for $9.50 with this coupon: https://leanpub.com/sh/XaLBNnC5 #Python #Ai

@fd93 👍 Probably a good idea to always use virtual environments regardless (and use them liberally, e.g. a different one for every program you install). Much of modern #Python packaging infrastructure is not designed to handle conflicting versions of packages in one environment.

I created a simple Python CLI program to easily add configurable watermark text to an image or directory of images.

Re: https://lgbtqia.space/@alice/114988947359085193

Here's the #Codeberg repo: https://codeberg.org/alicewatson/watermarker

#Python #AlicePics #Photos #Watermark

okay time for some niche #Python discourse:

The grants program pause is a good thing, actually. 🧵

There is probably one line of #Python that I type more than any other (nontrivial) line:

`HERE = Path(__file__).parent`

This is obscenely useful for scripts or small projects but I find myself using it in projects of more appreciable size, too?

Asking for an opinion from all my #python friends. The non-work Python project I'm developing has a few places where I need to find the most recent text above the current position that matches a #regex. I can either:

- Require the non-standard regex module (https://pypi.org/project/regex/) which has a REVERSE flag

- Create a "match all the things from the beginning, but then only use the one whose match.start() is before the current position

The first is clearly cleaner, but requires users to add one more module (they're already needing to add two others for different stuff in the program). The second is a tad kludgy, slower (but only by maybe a tenth of a second), but requires no additional includes.

Opinions? Strong opinions? First-hand experience with the regex module?

Mastering Modern Time Series Forecasting by Valery Manokhin is on sale on Leanpub! Its suggested price is $54.95; get it for $42.46 with this coupon: https://leanpub.com/sh/CAQR6Uy0 #ComputerScience #MachineLearning #Mathematics #Python #DataScience #DeepLearning #Education

Okay, so, fans of the #TwistedFramework help me out here:

I am mucking around with writing a simple new thing that, in order to have type annotations that aren't *completely* useless, needs to deal with the fact that Protocol and Factory aren't annotated.

But adding annotations makes the entire framework notice that the pattern of paired-Protocol-and-Factory subclasses are inherently LSP violations, because .protocol and .factory are writable attributes and thus invariant.

#python #mypy