Jupyter Reviews

Dataverse Reviews

Jupyter mentions (216)

• The 3 Best Python Frameworks To Build UIs for AI Apps

  Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / 7 months ago

• LangChain: From Chains to Threads

  LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 8 months ago

• Applied Artificial Intelligence & its role in an AGI World

  Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 9 months ago

• Jupyter Notebook for Java

  Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / about 1 year ago

• JIRA Analytics with Pandas

  One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / over 1 year ago

Dataverse mentions (3)

• The Maze isn't meant for you.

  I also find it strange that it's verified at 114 members with such an obscure name and server icon, especially considering the only thing I could find called The Dataverse with a quick search on DuckDuckGo is this thing that hasn't had any website activity for around a month and doesn't seem to have anything significant to it (also, I don't think "Dataverse" is a brand name or something). Source: over 3 years ago

• Archivematica: Open-source digital preservation system

  Others out there, such as:

      - DataVerse: https://dataverse.org.

  - Source: Hacker News / about 4 years ago

• Unexpectedly, the biggest challenge I found in a data science project is finding the exact data you need. I made a website to host datasets in a (hopefully) discoverable way to help with that.

  I'll point you to the Dataverse Project which attempts to solve your problem of discoverability by linking together well-established data librarian tools for practically anyone. The biggest Dataverse installation is the Harvard Dataverse, maintained by the Dataverse Project developers (IQSS), which hosts all sorts of data -- related to published articles or not. While the project definitely skews toward social... Source: about 4 years ago