So let’s say I want to develop a #python #jupyternotebook on my #ipad to make a dashboard covering the data in an excel workbook. What iOS tools work well for this kind of thing? Is #juno the obvious choice? This is all for a personal project.
So let’s say I want to develop a #python #jupyternotebook on my #ipad to make a dashboard covering the data in an excel workbook. What iOS tools work well for this kind of thing? Is #juno the obvious choice? This is all for a personal project.
Mastodon.social alt text analysis report!
Me and my friend Cristal just published a report on image description usage on mastodon.social, as a group project for the Introduction to Data Science course of the Artificial Intelligence and Sustainable Societies Erasmus Mundus Joint Master program.
Thoughts and feedback are welcome
A huge thanks to @stefan for publishing the dataset on which we based our analysis!
NOTE: We are absolutely aware that the report has very little actual relevance, as the dataset contains a super limited amount of posts from one instance only. It was mainly an experimentation to test our data analysis skills.
#Wikimedia a sa propre instance #JupyterNotebook sur laquelle il est possible d'exécuter des scripts #Python. Et il existe une #API qui permet de savoir le trafic par pays. Voici le #Top10 2024 de #Wikipedia en #France (peut contenir du trafic non naturel) https://public-paws.wmcloud.org/User:Pyb/France.ipynb
Weird time to throw this out there, but I’m still looking for work! #getFediHired #getFediGigs #lookingForWork #tech
Contract or permanent, part time or full time, doesn’t matter! I’ve learned a lot of Rust recently and am proficient in C++, C, Python, TypeScript, JavaScript, shell, Linux, Cloud stuff, HPC, chemistry, simulations, MPI and scaling! Mostly backend but I can, and have, done full stack work on React!
What I’m mostly looking to do is help build software that helps people, so I’m NOT interested in “AI”, defense, finance, oil+gas, startups, or anything of that sort. If you know of open positions or even if you’re looking for someone to help on a project, let’s chat! I make a mean fucking #jupyterNotebook, too.
I am also totally available to tutor chemistry, too.
Boosts welcome and appreciated!
CV on request; see my codeberg profile here: https://codeberg.org/astatide
#rust #chemistry #tutor #tutoring #cpp #rustLang #chapelLang
Announcing the 2023 Jupyter Distinguished Contributor award recipients! #jupyter #projectjupyter #community #jupyterlab #jupyternotebook #jupyterhub https://blog.jupyter.org/announcing-the-2023-jupyter-distinguished-contributor-award-recipients-1b2cc4ba203f
The Jupyter Community Building working group (JCB) would like to share a report and community building recommendations from interviews with members of Project Jupyter subprojects. #jupyter #opensource #communitybuilding #jupyternotebook #jupyterlab #jupyterhub https://blog.jupyter.org/community-building-report-project-jupyter-5a0fd7c8b08d
Zudem noch der Link zum #JupyterNotebook um selbst mit Daten von #OpenAlex bzgl. #Nachhaltigkeit zu experimentieren (vgl. letzte Folie Appendix): https://github.com/zuphilip/openalex-sdg
Our proposal for initial funding for a Jupyter NFDI Base Service (Jupyter4NFDI) has been accepted.
The project aims to simplify access to Jupyter Notebooks within the National Research Data Infrastructure (NFDI). The initiative seeks to enable a unified approach to computational, reproducible research.
#JupyterLab 4.1 and #JupyterNotebook 7.1 are now available! These new releases add Mermaid diagram support, inline code completion, accessibility improvements, and over 100 bug fixes. Try them out! https://blog.jupyter.org/jupyterlab-4-1-and-notebook-7-1-are-here-20bfc3c10217 #openSource #jupyter
We want to see all the cool things you're doing with Jupyter! Join our next Jupyter Community Call, on December 13 at 9:00 am PST (17:00 UTC), to chat, have fun, and share your work. It'll be like a mini virtual JupyterCon. See you soon. https://blog.jupyter.org/open-community-call-b93d44fc5856
#zeitungsportal meets #dh
Heute und Morgen treffen sich Archive, Bibliotheken und Wissenschaftler*innen in der Stadt- und Landesbibliothek #dortmund. Es geht um die Entwicklungsperspektiven der großen Zeitungsportale, darunter vor allem #zeitpunktnrw und dem Deutschen Zeitungsportal der @ddbkultur.
Konkret: API Schnittstellen für den Export von Zeitungskorpora, die Arbeit mit #Transkribus, Nutzung von #Jupyternotebook für fortgeschrittene Suchstrategien sowie Unterstützung von #KI
During the #Python summerschool which I co-host this week a participant asked me how to convert a #JupyterNotebook into a MS Word file. I never thought that there was a use case for this. But seems like I was wrong.
Have you ever needed to map building footprints from #lidar point cloud data? I cover how to do this in Tutorial 3 of my #Whitebox Workflows for #Python (WbW) series.
Tutorial link: https://jblindsay.github.io/WhiteboxTutorials/WbW_tutorials/WbW_tutorial3.html
WbW-Pro: https://whiteboxgeo.com/whitebox-workflows-professional/
Accidentally deleted a function definition in a #JupyterNotebook and was unable to undo because of how long it took me until I realized what I did. But it was still in memory. #Python
stackoverflow rescued me https://stackoverflow.com/a/71700654
```python
import inspect
lines = inspect.getsource(lostFunctionName)
print(lines)
```
Been making use of Google's hosted Jupyter notebooks product Colab to complete some data analysis projects at work.
The project is to take a number of legacy manually managed roles and try to determine what attribute based rules could be used to manage them in the future.
It's involved a number of merges, repeated pivot tables creation, and other analysis.
Colab has some great integration to push the results of your analysis to Google Sheets to share the results without having to expose other folks to the raw Jupyter Notebook.
I took some time and wrote up a blog post https://z1g1.net/posts/2023/2/5/using-jupyter-notebooks-in-google-colab-and-publishing-to-google-sheets.html on how you can wire these two tools together.
hey mastodon followers! Any of you happen to work with Jupyter Notebooks on GitHub? If so, I'd love to invite you to give feedback on a notebook diffing feature myself and my team have been working on. DM me!