[Перевод] Markdown презентации по-новому: контроллер Nintendo, интерактивный блокнот и немного магии

Как превратить скучные слайды в интерактивную демонстрацию, где код можно запускать прямо на месте? В этой статье попробуем перенести презентацию в браузер, а затем — в «блокнот». Интерактивные среды, такие как Jupyter Notebook, Observable, Mathematica, WLJS Notebook, позволяют создавать живые презентации, лекции и наглядные материалы для коллег или студентов. Они незаменимы и для визуализации моделей, симуляций и любых данных. Под катом — примеры, пошаговый разбор и демо вживую.

https://habr.com/ru/articles/904196/

Введение в MLflow: настройка и запуск

Введение в MLflow: настройка и запуск Привет, Хабр! Я Александр Кузьмичёв, специалист по анализу данных и машинному обучению в ПГК Диджитал. Мы в компании занимаемся разработкой цифровых продуктов для железнодорожных грузоперевозок. Ранее я рассказывал о том, как открытая платформа MLflow помогает нам в работе. В этой серии статей я хотел бы поделиться с вами увлекательным путешествием в мир MLflow, Optuna, AutoML и развёртывания моделей с помощью MLflow. Сегодня мы заложим фундамент, начнём с вводной статьи. Я расскажу, как установить и настроить MLflow, а также как опубликовать его с доступом в интернет. Это пригодится для мини- и пет-проектов. В дальнейшем добавлю функционал по логированию, что значительно упростит процесс работы с моделями. Что потребуется: Docker Statics IP- статический (неизменяемый внешний) IP Internet Free space ~40gb Что получим: MLflow Jupyter Minio Mysql Настроенные пути к портам Логин и пароли для моделей

https://habr.com/ru/companies/pgk/articles/904078/

Jupyter Notebook là gì? 6 Lợi ích của Jupyter Notebook nên biết

Jupyter Notebook đã trở thành một công cụ không thể thiếu đối với các lập trình viên và nhà phân tích dữ liệu nhờ khả năng dễ dàng xây dựng và chia sẻ mã nguồn. Trong bài viết này, chúng ta sẽ cùng tìm hiểu về Jupyter và các thành phần của Jupyter Notebook, cùng khám phá lý do tại sao công cụ này lại nhận được sự yêu thích lớn trong cộng đồng khoa học dữ liệu và học máy.

Tìm hiểu ngay: https://interdata.vn/blog/jupyter-jupyter-la-gi/

Explore the National Gallery of Art’s Open Access dataset in #Jupyter with #Deno

https://blog.jupyter.org/exploring-open-access-art-using-the-deno-jupyter-kernel-da0ad084966e

Just had an Oh My F***ing Gosh #Jupyter #Python moment:

Starting to think of demo notebooks and hacked together a "show_page()" function to display an iframe with a webpage in it.

I *thought* I was just fetching and showing rendered HTML and was fine with that.

Then I clicked the home link and discover that I'm actually embedding live little web windows in my notebooks....

Wait, What, Wow How?

Never knew ipthon.display was that friggin awesome and cool.

#iden Quick-start verified: Creating and sourcing the #python and #rust virtual environments to compile and install, generating an identity, starting the pad manager, and how to import the library in a #jupyter notebook ready to write and read and poke at the test node.

https://github.com/stevenaleach/iden/blob/main/quickstart.md

I gave a talk on large-scale data visualization on the web at
the 3D on the web meetup last month at GDC, check it out
https://youtu.be/HzcFzCkt5aU?si=6pLmPO9JEPBfMQB1
to hear about what I'm up to with #WebGL #WebGPU #WebAssembly
#Jupyter and some challenges I'm working on that I'd love to chat about!

#Jupyter notebooks support #Coarray #parallel #Fortran kernel.

https://github.com/sourceryinstitute/jupyter-CAF-kernel

Pete Metcalfe shows you how to create a Julia graphical user interface, micro-web server, and charting apps that communicate with Raspberry Pi hardware
https://www.makerspace-online.com/julia-programming-language-on-a-raspberry-pi/?utm_source=mms
#Julia #languages #RaspberryPi #hardware #SBC #programming #DataScience #AI #Jupyter #Python #GUI

Debugging a complex Python library via a Jupyter notebook is unfairly good tech, yinz.

Now that I've tried it, I can't go back.

My favorite part of this exercise?

Testing the fix in-place by copying the broken method out of the class, editing it, monkey-patching it back into the class definition, and then re-running the small verification setup I threw together in Jupyter. Newly-created class instances are using the new method and the flow goes from "Busted" to "Working."

(Plus, Jupyter supports matplotlib output, which is huge when what I'm debugging is fundamentally geometric in nature).

Following up on my work with trying to make Python development more interactive with REPL Driven Development (previously posted article "Are we there yet?").

I recorded a very much improvised video

I demo the setup and the workflow. Starting up a Jupyter kernel, connecting to it from my code editor, and modifying a running program.

About 13 minutes:
https://youtu.be/nJC9EVHjI24?si=SpRb-O7aRRGcdV5e

I am really looking forward to a time when scientific data analysis is less of a constant fuckaround and fight with technical bullshit. I'd *really* like

- #netCDF natively supporting complex numbers
- #Python #xarray and #pandas to natively support physical units (#pint is great on its own but the integrations leave a LOT to be desired)
- #Jupyter notebooks to suck less (crashes, glitches, widget plots not saved statically, an effing BUILTIN formatter, etc.)
- proper data pipeline systems
...

Excited to announce the release of the second cat2cloud introductory video!
Our software optimises file transfer and access for server-hosted data . cat2cloud's compression-first framework enables users to minimise transfer times and storage requirements .

In this video, you can see how easy and quick it is to manage file storage using the ubiquitous jupyter notebook format !
Find out more (and see the first video) at https://ironarray.io/cat2cloud!
#API #datascience #compression #jupyter

Quel #jupyter #notebook #jupyternotebook recommanderiez-vous sur #Android ?

Which #jupyter #notebook #jupyternotebook will you recommend on Android

Thank you

adding #hydra in #jupyter #notebooks

"#Geospatial #Python - Full Course for Beginners with #Geopandas"

https://www.youtube.com/watch?v=0mWgVVH_dos

#python is an interpreted language. The Python interpreter runs a program by executing one statement at a time. The standard interactive Python interpreter can be invoked on the command line with the python command

data analysis or scientific computing make use of IPython, an enhanced Python interpreter, or #jupyter notebooks, web-based code notebooks originally created within the IPython project.