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#jupyternotebook

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@mrblubber
Sind das Daten, die wirklich in ein Spreadsheet gehören oder wäre das vielleicht sowieso eher ein Fall für eine Datenbank?

(Hab schon häufiger beobachtet, daß Excel als Datenbank "mißbraucht" wird, muss bei Dir nicht so sein)

Alternative wenn es wirklich auf die Zahlen-Auswertung und "Zahlenfresserei" ankommt:
In der Wissenschaft verwenden Leute wohl häufig Jupyter:

jupyter.org/

jupyter.orgProject JupyterThe Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

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.

GitHubGitHub - alterism/mastodon-alt-text: Experimenting with mastodon.social client alt-text use dataset.Experimenting with mastodon.social client alt-text use dataset. - alterism/mastodon-alt-text

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

Codeberg.orgAstatide [Audrey MP]Meow for now.

Meet Jupyter AI: A New Open-Source Project that brings Generative Artificial Intelligence to Jupyter Notebooks

Jupyter AI integrates generative AI into Jupyter notebooks, enabling code generation, error fixing, and content summarization. It supports multiple LLM providers.

#JupyterAI #GenerativeAI #ProjectJupyter #JupyterNoteBook #OpenSource #ArtificialIntelligence #Programming

marktechpost.com/2023/08/06/me

MarkTechPost · Meet Jupyter AI: A New Open-Source Project that brings Generative Artificial Intelligence to Jupyter Notebooks with Magic Commands and a Chat InterfaceJupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. It allows users to explain and generate code, fix errors, summarize content, and even generate entire notebooks from natural language prompts. The tool connects Jupyter with large language models (LLMs) from various providers, including AI21, Anthropic, AWS, Cohere, and OpenAI, supported by LangChain. Designed with responsible AI and data privacy in mind, Jupyter AI empowers users to choose their preferred LLM, embedding model, and vector database to suit their specific needs. The software's underlying prompts, chains, and components are open source, ensuring data transparency. Moreover,

Do I know anyone in my network who has experience with running scheduled jobs as part of Jupyter notebooks? I am talking about the standard scheduler extension for Jupyter, not any form of cloud-hosted implementations.

Thing is, the job scheduler would always run a specific version of the notebook, regardless of the changes I made to the notebook afterwards. The only way to solve it, is to delete and recreate the job every time.

Is this by design?

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Things you should *NEVER* *EVER* ask your #Python interpreter to do:

assert 2**1099511627776 == (2**256)**(2**32)

Yea... Just wanted to check I hadn't glitched in my thinking, it's such a reflex to check my math in a #JupyterNotebook that I didn't stop to think what I was about to ask my computer to do.

Which is ironic 'cause what I was specifically trying to do was find a good way to put into writing this absurd number to show just how absurd this number happens to be. #Latenightbrainfog.