It's been very very helpful to streamline different people on our team, especially remote workers to help them understand what's going on in our business without 100s of meetings.
My remote-first start-up has eliminated more than 200+ hours of meetings and 1000s of mismanaged documents because our entire communication happens through Notion.
As someone who's always on the lookout for the perfect productivity app, I was excited to try out Notion. It promises to be an all-in-one tool for everything from note-taking to project management to personal wikis.
From the moment you open Notion, you can tell that it's different from other productivity apps. The interface is sleek and modern, and it's easy to navigate. The app is divided into pages, which can be customized with different templates to fit your needs. You can create to-do lists, databases, wikis, calendars, and more.
One of the things I love about Notion is the ability to create relationships between pages. For example, you can create a database of your favorite books and then link to a page with your book reviews. Or you can create a to-do list and link to a page with notes about the task. This feature makes it easy to keep all of your information in one place and to connect related items.
Based on our record, Notion should be more popular than Jupyter. It has been mentiond 441 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Two of the most popular open source note taking app are affine (basically notion but open source) and obsidian (which stores notes in markdown). - Source: dev.to / 7 months ago
Notion | https://notion.so | Android Engineer | SF | hybrid (in office 2x a week) | Full time- Source: Hacker News / 8 months agoLevel: Mid/Mid+ (4-6yrs experience).
Advanced Notion and Google Doc writing editor. - Source: dev.to / 12 months ago
I manage my non-work and work-adjacent tasks in Notion. Whenever I have an idea, regardless of how big or small or silly or achievable it is, I'll add it to Notion, and use labels to categorise it by type of output (e.g. blog, silly project, website update). Today I wanted to write a short post for my site. I clicked on the filtered blog post view, and selected this one (because I hoped it would be a quick one!). - Source: dev.to / about 1 year ago
Notion.so redefines workspaces. With its intelligent organization and collaboration features, it's more than a productivity tool—it's a digital haven. Discover the art of streamlined and efficient teamwork. - Source: dev.to / over 1 year ago
Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / about 2 months ago
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 / 3 months ago
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 / 4 months ago
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 / 8 months ago
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 / 11 months ago
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Google BigQuery - A fully managed data warehouse for large-scale data analytics.