Noteable

🚀 We're thrilled to announce the launch of Noteable Pro! This new offering will supercharge your data workflows and advance your projects. With Noteable Pro, you'll gain access to: 1️⃣ High-performance GPU kernels for faster processing of complex machine learning models. 2️⃣ Larger CPU kernels to handle larger datasets with ease. 3️⃣ The ability to run more notebooks simultaneously, enabling efficient multitasking. 4️⃣ Extended shutdown timeouts for lengthy computations, ensuring uninterrupted work. 5️⃣ A supercharged experience with our ChatGPT Plugin. But that's not all! As a Noteable Pro user, you'll also gain access to exclusive learning resources from Dataquest and Interview Query. These resources will help you stay ahead in Python, SQL, NLP, ML, and AI. Would you be ready to take your data workflows to the next level? Upgrade to Noteable Pro today: https://lnkd.in/gngQ-Tve We're excited to see the incredible projects you'll create with Noteable Pro. And to our existing Noteable users on the waitlist - check your inbox for a surprise! A huge thank you for your support and patience. ❤️ #DataScience #MachineLearning #AI #NLP #Coding

I've been using Generative AI lately at work and play, with mixed but overall positive results. 🤖 So I wrote a blog post about it! Are you all using any AI tools? I'd love to hear what you think. https://lnkd.in/gHk9y2AU

🚀 Empowering DevOps with Noteable Notebooks! 📓 Ana Victoria Rodríguez Guerrero, Senior DevOps Engineer at Noteable, shares her journey of blending experience & curiosity in the DevOps realm. Dive into how Noteable elevates Jupyter notebooks, making collaboration cloud-powered & interactive. Discover how Ana streamlined privileged access reviews, managed secrets, and automated API calls with confidence. From tackling crypto-mining attacks to navigating Auth0's API, Noteable is the game-changer! 🛠️🔐📊 #DevOps #Noteable #Automation #Collaboration https://lnkd.in/g2ZJPqVH

Just because it's a Jupyter notebook doesn't mean you have to use python. Now you can start any notebook with whichever of our supported kernels that you need: Python, R or the new Deno TypeScript kernel! #Jupyter #Notebook #TypeScript #JavaScript #js

Dive into the 5000-year journey of tabular data, from ancient Egyptian carvings to today's powerful Pandas dataframes. Discover how dataframes have revolutionized data analysis, visualization, and decision-making. From the inception in R to Python's Pandas, explore the evolution and the secret power behind these structures. Whether you're a data enthusiast or just curious, this piece by Elijah Meeks is a must-read! #jupyter #llm #datavisualizaiton #notebook https://lnkd.in/gTWgez-c

Ever wonder why your reports aren't being read? Of course you are. Maybe it's not because you designed a bad report, maybe it's because you didn't meet your readers where they are. Our own 📘 Kyle Kelley created Chartsworth so you could deliver your charts where they'll have the most impact via a helpful chart monster. Chartsworth lets you leverage scheduled notebooks to post your reports directly onto your Slack with data visualization and analysis based on how you designed your notebook. #datavisualization #jupyter #notebook #slack #reporting https://lnkd.in/gnHEg__D

Python in Excel is now a thing! 1,464 days ago, I met Keyur Patel and Shaofeng Zhu in a conference room in Building 17. They showed me a Hackathon project that they built to integrate Jupyter into Excel. From that humble beginning, we went on a long journey to today where we are shipping our first preview of Python in Excel for Windows. This feature lets you seamlessly mix Excel formula language and Python cells in the same workbook; Python becomes a first-class citizen within Excel. We run Python in a hypervisor-isolated container in Azure using a Python distribution provided by Anaconda to ensure a secure, multi-user and consistent experience. It was and is a project of a lifetime. This was the result of a multi-year collaboration between the Python team in Developer Division and the Excel team. I want to especially call out the super-talented design team for the feature (we called it the "App Model" design team) Guido van Rossum, Anders Hejlsberg, Keyur Patel, Shaofeng Zhu, Joe McDaid, Jeffrey Duzak, Jim Masson, Bill Wu, Irit Katriel, Carlos Otero and Steve Dower. https://lnkd.in/gsPxgKZW

Developers are willing to copy and paste from posts, code, and errors ⧯ between ChatGPT and editors. Your users are doing it too. But you can improve that experience and provide access to documents directly with a bit more engineering. Learn Plugins with OAuth hands on today: https://lnkd.in/g8hbRXR2