Two open positions in my lab to develop scientific software with python and javascript.

Software: CATMAID

Documentation:
catmaid.readthedocs.io/en/stab…

Source code:
github.com/catmaid/CATMAID/

Example:
l1em.catmaid.virtualflybrain.o…

If you have experience with #SQL (#postgresql), #python and its many libraries (particularly #django), #rust, and #javascript, write to me and let's discuss.

Examples of open issues: github.com/catmaid/CATMAID/iss…

GitHub - catmaid/CATMAID: Collaborative Annotation Toolkit for Massive Amounts of Image Data

Collaborative Annotation Toolkit for Massive Amounts of Image Data - catmaid/CATMAID

^GitHub

You might want to reconsider your use of Anaconda / Conda. Updated terms of service are unclear about what is and isn't allowed under their free tier, with potential of contamination of "off limits" packages due to dependency resolution (using environment files).

#python #anaconda #conda #OSS

theregister.com/2024/08/08/ana…

Anaconda puts the squeeze on data scientists now deemed to be terms-of-service violators

Academic, non-profit organizations told to start paying up – or else

^{Thomas Claburn (The Register)}

that’s actually a really cool trick — the many with-usages (like locks!) are a huge boon to understandable code.

And while it took me 25 lines of code to implement this with with wisp ( hg.sr.ht/~arnebab/wisp/browse/… ) it’s only Python where that’s the default way to do things.

(there is no superfluous with in the previous paragraph ☺)

Being able to add stuff like this to the language cleanly is why I started to move my personal projects from #Python to #Guile #Scheme in 2013, though.

I've turned one of my teaching modules in #Paleontology into an #OER. It's only one single lab, but many more are waiting to be OER-ised... therefore I really need your input to avoid future mistakes.
github.com/EmiliaJarochowska/Y…

Thanks to the feedback (shoutout to @leouieda and @JMMaok) I knew this:
✅ Must be editable
✅ Must include rubric
✅ Must include an example: I included a possible solution but without an essay, just the code. Now in #Rlanguage but #Python and #JuliaLang will follow.

The most watershed decision was to use #Quarto for everything to make it editable and renderable using Open Source tools and to make it version control-compatible. For people not familiar with #Quarto this may be a barrier?
Not sure what a good alternative would be. #OpenPedagogy

GitHub - EmiliaJarochowska/Yankovich_cave: Reconstruction of Pleistocene climate based on assemblages of mammal microfossils from a cave in Hungary

Reconstruction of Pleistocene climate based on assemblages of mammal microfossils from a cave in Hungary - GitHub - EmiliaJarochowska/Yankovich_cave: Reconstruction of Pleistocene climate based on ...

^GitHub

(1/2) Timetk for Python 🚀🚀🚀

The timetk, one of the main R packages for time series analysis and forecasting ❤️, by Matt Dancho, is now available in Python 🐍. The package provides a variety of tools for working with time series data and analyzing it. The Python version leverages pandas for processing time series data and plotly for visualization.

#timeseries #python #rstats #forecasting #DataScience

Advice for beginning (#Python and anything else) learners: nedbatchelder.com/blog/202309/…

"Write code. Write more code. Get your hands in there, do things and find out what happens. You’ll learn best by doing."

(1/2) Python for Data Science is a new book by Arthur Turrell that focuses on core data science applications with Python 🚀. The book is inspired by the R for Data Science book by Hadley Wickham and Garrett Grolemund and follows a similar structure. The book covers topics such as:
✅ Data wrangling and transformation
✅ Data visualization
✅ Working with spreadsheets, databases, web scraping and APIs
✅ Programming topics such as functions and iteration

#python #DataScience #dataviz #data

We have a new version of the data visualization tutorials written in #Python using #Pandas and #Altair:

infovis.fh-potsdam.de/tutorial…

The first tutorials lay the foundation, after which common data types are treated in 3 steps:

🛒 Prepare → 🥒 Process → 🥗 Present

If you have any ideas or suggestions for improvement, or if you're using these tutorials in your own teaching (or learning!), I'd love to hear about it. Many thanks already to @ikyriazi for lots of feedback on this revision!

#DataVis #OER

Data Visualization · FH Potsdam · Summer 2023

Hands-on tutorials for basic visualization techniques and the necessary data processing

^{infovis.fh-potsdam.de}

PEP 684: "A Per-Interpreter GIL" has been accepted for Python 3.12!

discuss.python.org/t/pep-684-a…

peps.python.org/pep-0684/

#PEP684 #python #python312 #GIL

PEP 684: A Per-Interpreter GIL

On behalf of the Steering Council, I’m happy to report that we have accepted PEP 684. @eric.snow, thanks for all of your efforts on this PEP and all of the supporting work it took to get us here over the years!

^{Discussions on Python.org}

Here, have some #Python code I hacked on today to do some light video editing with #FFMPEG

Requires ffmpeg and ffmpeg-python

How to Install Python; Configure and Write Your First Program

[Absolute Beginner's Guide]

debugpoint.com/install-python-…

#python