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JupyterCon
เข้าร่วมเมื่อ 25 มี.ค. 2020
This is the official JupyterCon TH-cam channel. Subscribe and come back for videos of JupyterCon 2020 following the event.
JupyterCon brings together data scientists, business analysts, researchers, educators, developers, core Project contributors, and tool creators for in-depth training, insightful keynotes, networking events, and practical talks exploring the Project Jupyter platform.
JupyterCon brings together data scientists, business analysts, researchers, educators, developers, core Project contributors, and tool creators for in-depth training, insightful keynotes, networking events, and practical talks exploring the Project Jupyter platform.
Rosio Reyes, Jeremy Tuloup, Eric Charles, Eric Gentry The past, present and future of the Jupyter
Jupyter Notebook 7 is being developed as a replacement for users who may have been previously using Notebook 6 and want more of the features being created for JupyterLab, like real-time collaboration, debuggers, theming, and internationalization, among other benefits. To ensure that those users are equipped with some essential knowledge that will help them smoothly transition to using Notebook 7, this talk will go over some of the key details of working with the new Jupyter Notebook. We will explain how users can run multiple frontends like Notebook 7, JupyterLab and NbClassic (the long term supported version of the Notebook 6 code base) that will ease the transition of users not ready to switch to Notebook 7 as well as give users the freedom to choose between the Notebook 7 and Lab interface based on project needs. Through this talk we will also aim to provide Notebook 6 extension developers with information about the resources available to aid the transition of their extensions to both Notebook 7 and JupyterLab. Notebook users will leave this talk having a better understanding of what next steps they may want to take to get started with Notebook 7.
มุมมอง: 621
วีดีโอ
Nate Rush De Regid the Widget: Making Jupyter a Haven for Startups | JupyterCon 2023
มุมมอง 374ปีที่แล้ว
Becoming a Widget Author Over the past 2.5 years, I’ve been building a spreadsheet extension for JupyterLab called Mito. This extension needs to share state between the frontend and the backend, and also have the backend/frontend communicate constantly. As such, we naturally built Mito as a Jupyter Widget. Being a widget comes with many benefits, including easy-to-extend templates, automatic sh...
Meag Doherty Maximizing the Impact of User Feedback: Effective Practices for Community Management
มุมมอง 116ปีที่แล้ว
User feedback is crucial to any community, as it helps shape the community’s direction and growth. However, managing and processing this feedback can be challenging, especially for large and active communities. This talk will discuss practices for community management teams to effectively handle user feedback and turn it into valuable insights. We will cover the following topics: Strategies for...
Johan Mabille, Thorsten Beier Xeus kernels in the browser | JupyterCon 2023
มุมมอง 364ปีที่แล้ว
Xeus, a native implementation of the Jupyter protocol, facilitates the authoring of new kernels, especially for languages for which the interpreter has a C or a C API. Kernel authors can focus on the language-specific parts of their work and don’t have to deal with the protocol. The number of flurishing kernels based on xeus these last years has proven it to be a reliable component of the Jupyt...
Fons Van Der Plas Pluto jl - reactive and reproducible notebooks for Julia | JupyterCon 2023
มุมมอง 3.4Kปีที่แล้ว
Slides: gist.github.com/fonsp/b004319fbe728a5fc661ce8ac89c1ac4 Pluto.jl is a new, open source notebook programming environment for Julia, written in Julia and JavaScript. Our mission is to make Julia more accessible and fun! 🎈 In this talk, we would like to introduce Pluto.jl to the JupyterCon audience, and we will talk specifically about our approach to reproducibility and reactivity. While Pl...
Colin Brown Understanding and Visualizing Dependencies between Notebook Cells | JupyterCon 2023
มุมมอง 254ปีที่แล้ว
In Jupyter IPython notebooks, variable declarations are global, so a variable defined in one cell can be referenced, mutated, or redefined in any other cell. Each reference or mutation leads to a cell dependency where one cell should be executed before the other because these dependencies can span the entire notebook and understanding which cells need to be re-executed after a change can be cha...
Carlos Cordoba The Spyder debugger: An interactive debugger based on Jupyter technologies
มุมมอง 249ปีที่แล้ว
One of the main features of scientific programming is its exploratory nature: starting from some input data, the goal is to analyze it in order to understand what it can tell us about the phenomena that generated it. However, the means to do this are often unclear, and the results unforeseen. That is why this type of programming requires tools for rapid, interactive prototyping that allow users...
Amit Rathi, Vinay Kakade Simplify DevOps with Executable Notebooks | JupyterCon 2023
มุมมอง 361ปีที่แล้ว
Today, Jupyter Notebooks are mostly confined to science, research & education. But notebooks can provide organizations with a powerful general-purpose “executable documentation” platform. A solid use case for this is DevOps & more specifically, IT incident response. Technology teams usually have an on-call rotation with static wiki-style documentation to guide the on-call engineer. Jupyter Note...
David Qiu Jupyter AI: Bringing Generative AI to Jupyter | JupyterCon 2023
มุมมอง 1.2Kปีที่แล้ว
Generative artificial intelligence (AI) models are trained to generate new, previously unseen data (text, images, etc.). The generated data is both similar to the training data and a response to a user provided natural language prompt that describes a task or question. Recent generative AI models such as Amazon CodeWhisperer, Codex, Stable Diffusion, and ChatGPT have demonstrated solid results ...
Ana Ruvalcaba, Afshin Darian, Jason Grout, Fernando Pérez State of the Union: Jupyter Community |
มุมมอง 246ปีที่แล้ว
Come learn how the Jupyter community and leadership is organized today. We'll talk about new strategic initiatives impacting the global Jupyter community.
Craig Peters, Cory Gwin GitHub Keynote | JupyterCon 2023
มุมมอง 174ปีที่แล้ว
In the Keynote you will learn about how GitHub expands the reach of the amazing Jupyter technologies
Diogo Castro Federated collaborative workflows for Jupyter | JupyterCon 2023
มุมมอง 153ปีที่แล้ว
Cloud Storage for Synchronization and Sharing (CS3) platforms, like ownCloud or Nextcloud, have been widely deployed in the research and educational space, mostly by e-infrastructure providers, NRENs (National Research & Education Networks) and major research institutions. These services, used usually in daily workflows by hundreds of thousands of users (including researchers, students, scienti...
Franklin Koch MyST Markdown: Using notebooks in scientific publishing workflows | JupyterCon 2023
มุมมอง 880ปีที่แล้ว
We introduce mystjs (js.myst-tools.org/), a set of open-source, community-driven tools designed for scientific communication, including a powerful authoring framework that supports blogs, online books, scientific papers, reports and journals articles. The MyST (Markedly Structured Text) project has grown out of the ExecutableBooks team, which has been working on MyST Markdown and JupyterBook as...
Greg Michaelson AutoML as it should have always been | JupyterCon 2023
มุมมอง 283ปีที่แล้ว
When AutoML was popularised during the 2010s, there was a great hope that the citizen data scientist would take over machine learning and that business analysts everywhere would soon be building thousands of advanced AI-based solutions, ushering in the age of AI in business. Not only did that not happen, but even the name “AutoML” has become sullied along with the myth of the citizen data scien...
Jason Grout, Florian Wetschoreck Building on Jupyter at Databricks | JupyterCon 2023
มุมมอง 211ปีที่แล้ว
Jason Grout, Florian Wetschoreck Building on Jupyter at Databricks | JupyterCon 2023
Jeremy Tuloup Creating interactive Jupyter websites with JupyterLite | JupyterCon 2023
มุมมอง 706ปีที่แล้ว
Jeremy Tuloup Creating interactive Jupyter websites with JupyterLite | JupyterCon 2023
Jeremy Tuloup, Johan Mabille Navigating the Jupyter Landscape | JupyterCon 2023
มุมมอง 400ปีที่แล้ว
Jeremy Tuloup, Johan Mabille Navigating the Jupyter Landscape | JupyterCon 2023
Nicolas Poulain Capytale: a case of large scale use of jupyter notebooks in education | JupyterCon
มุมมอง 131ปีที่แล้ว
Nicolas Poulain Capytale: a case of large scale use of jupyter notebooks in education | JupyterCon
Sarah Gibson How to grow the JupyterHub community and improve its practices by mentoring Outreachy
มุมมอง 81ปีที่แล้ว
Sarah Gibson How to grow the JupyterHub community and improve its practices by mentoring Outreachy
Sarah Gibson No Magic Added Deploying Multiple JupyterHubs to Multiple Clouds from one Repositor
มุมมอง 138ปีที่แล้ว
Sarah Gibson No Magic Added Deploying Multiple JupyterHubs to Multiple Clouds from one Repositor
Afshin Darian, Martha Cryan What’s New in JupyterLab 4 0 | JupyterCon 2023
มุมมอง 1.2Kปีที่แล้ว
Afshin Darian, Martha Cryan What’s New in JupyterLab 4 0 | JupyterCon 2023
Alyssa Goodman, A Goodman Alyssa Goodman Keynote | JupyterCon 2023
มุมมอง 166ปีที่แล้ว
Alyssa Goodman, A Goodman Alyssa Goodman Keynote | JupyterCon 2023
Carlos Herrero, Trung Le, David Brochart Real Time Collaboration in Jupyter | JupyterCon 2023
มุมมอง 567ปีที่แล้ว
Carlos Herrero, Trung Le, David Brochart Real Time Collaboration in Jupyter | JupyterCon 2023
Cheuk Ting Ho Driving down the Memray lane Profiling your data science work | JupyterCon 2023
มุมมอง 100ปีที่แล้ว
Cheuk Ting Ho Driving down the Memray lane Profiling your data science work | JupyterCon 2023
Fernando Pérez Two decades of IPython and Jupyter
มุมมอง 407ปีที่แล้ว
Fernando Pérez Two decades of IPython and Jupyter
J j Allaire Jupyter Notebooks + Quarto for customizable and reproducible documents, websites and
มุมมอง 1.5Kปีที่แล้ว
J j Allaire Jupyter Notebooks Quarto for customizable and reproducible documents, websites and
Jovan Stojanovic Machine learning with dirty tables: encoding, joining and deduplicating
มุมมอง 295ปีที่แล้ว
Jovan Stojanovic Machine learning with dirty tables: encoding, joining and deduplicating
Luciano Resende, Felipe Barros Elyra an AI development workspace based on Jupyter Notebooks
มุมมอง 175ปีที่แล้ว
Luciano Resende, Felipe Barros Elyra an AI development workspace based on Jupyter Notebooks
Nunca hacer una presentación por el creador, porque cada vez que tiene que explicar algo, está viendo los gallos etc...
Fantastic 😊
Did you progress your open source plans? Would love to use that in practice.
Wonderful work! I’m beginning with Julia and one of the main problems of the language, IMO, is the little attention of developers and community towards kids and teens. The language is fantastic for general purpose development (when they create a static compiler it will be unstoppable), but the language needs to get traction from “grassroots “, as Python did do: found in Raspberries Pis, office automation, web scraping etc, home projects, educational projects.
This is not working. Not sure if there is something missing.
make will Pluto like JupyterLab (UX, etc)
Awesome
protect this man
This is extremely nice
Vary nice stuff
MyST is fantastic!, Only thing missing is probably, a Markdown like MARP to create presentations directly...Or am I missing anything
But I failed to use it.
This is a very useful and time-saving feature, I would love to see this in native python...
Amazing!
Unfortunately, video is disjointed at 03:20 mark and appears to skip the demo.
incredible package! Have just installed it to try with plots and get just stunned by the intuitive polished interface. Also like for the "no under the hood configs" idea. Everyone should try this!
I really hope that merging Notebook and Lab underlying stacks would make both projects stronger and easier to maintain
Looks great!
ok but what about having a real product that can help normal people with real problems? like stress, sleep, focus etc... talking talking but as of right now we have nothing but scammy products on the market that do nothing of value
'promo sm' 🙈
Ummmmmm I don't know about this.
As someone who studied economics and works in ml and open source this is such a niche little treat for me lol :) Cool to see someone like Paul Romer so engaged here, great stuff!
stylé
HI, thanks for the video. I have a doubt. If I want to do some preprocessing in the jupyter notebook and then run the fastapi how do I do that? Like I have to run cells 1,2,3,4 before calling the model. Thanks in advance
HI how to publish custom extension
My dude this is a youtube comment not google search
It's so beautiful but, in Brazil, FB has done the exact opposite, it is reducing the spread of truth and trying to turn lies into truths. t's a shame this attempt to censor people arround the world.
HI Team, We have a requirement where we want to show session time on JupyterLab’s top bar, whenever User get access to JupyterLab. Let say we have session time 2Hrs, then in this case it should be shown on Jupyterlab. Do we have any such configuration file where we can make changes related to session time configuration. Please help me here. Thank you in advance.! Thanks, Sachin
نايس
Hi! is Bento exclusive only for Facebook or is it available publicly?
This is an incredible demo. Hats off, Simon!!
Rick, thank you for this: super clear, super informative, and very nicely presented!
Re: 10:19, I searched for "nbdashboard", but it is actually "nvdashboard", i.e. jupyterlab-nvdashboard.
You need the Walsh Hadamard transform to experiment with inside-out neural networks. With fixed dot-products (weighted sums) and adjustable (parametric) activation functions. The fast transform providing the fixed dot products.
Thank you for the very nice talk :)