Hi everyone! Tomorrow (Thursday 10 AM PST / 7 PM CET / 11.30 PM IST), we're doing an interactive discussion with with founders building startups in analytics, data science tooling and AI/ML (including Arize AI, graphext, V Squared and Deepnote).

They will share their learnings and take your questions on Clubhouse. A great opportunity to learn from experienced founders & ask hard questions for anyone that's thinking of entering the space. Join us! https://www.joinclubhouse.com/event/xljv2lYj




We're doing a Clubhouse chat tomorrow (Friday 9AM PT / 6PM CET) on trends & challenges of building developer & data science communities with some cool people, like Bailey Richardson, Patrick Woods, Demetrios Brinkmann, and the CEO  Jakub  himself! Join us 👋 https://www.joinclubhouse.com/event/MRQ9Dwd3

Let me know if anyone needs a Clubhouse invite, we have a couple spare! Just text me your phone no. 



Happy weekend everyone! 👋  I'm putting together a guide for people looking to build up their own data science portfolio. Do you have any learnings, tips or tricks that you'd like to share with others? What are the things that helped you when you were creating your own portfolio? Any specific resources / tools you used? Do you have a data science portfolio you'd like me to link? 

Appreciate any inputs & advice! 🙏

Hi everyone! As teased in today's product update, we are about to release Deepnote Public Profiles that allow you to share your published notebooks in one place (here's an example from JZ). If you'd like to join the testing crew, let us know! We will enable the feature for you before we roll out to everyone - just comment this thread or DM me with your Deepnote e-mail.

Do you already have links or ideas that you'd like to publish / showcase? Let us know below! 🧠




Hi guys & gals, hope everyone's swell! 👋 You've been building and sharing more awesome things, so we decided to put together monthly roundups and shine spotlight on some of your best work.

It's almost like a little monthly newsletter with inspiration on how you can use Deepnote for work and fun, so let's dive right in 👇

⛏️  Patrick Rotzetter  did a great demo on using spaCy for tokenization, parsing and NER in his Text mining & NLP experiments notebook.

📓  Yashika Sharma  &  Jakub Žitný  created 2020 review of Data science notebooks. They analysed 10M+ of them to learn more about trends in Jupyter notebooks and identify most popular libraries, search trends, and key stats.

🔢  Denis Shilov  showed us how to Calculate your financial plan with one click in Notion - a useful hack for us living in Notion, who want to sync up their calculations across pages in one click.

📦  Carlos Mendez  created this comprehensive Introduction to the ExPanDaR package.

🧩  Saiful Rijal  cracks a Clustering problem case study where he segments the market to launch a targeted advertising campaign for a bank.

💦  Franccesco Orozco  showed us how to use H2O in Deepnote to build out ML apps.

🎨  Reslan Tinawi  did a Showcase of visualizations techniques using seaborn & plotly.

😬  Charles Gagnon  built his personal COVID dashboard for tracking corona virus progression across different countries.

📈 lingan777 built out 2 awesome pieces: Stock market analysis & COVID impact on stock market 

If your notebook is featured here, send me a DM with your T-shirt size, address & phone number, would love to send some Deepnote swag your way! 💙

Happy Monday everyone! Would you be up for a 15 min chat? I'm working on improving the Deepnote onboarding experience & your insights as our early users would be super valuable. 💙

I'd love to understand why and how you use Deepnote, what makes you come back, what's the biggest value you're getting from the platform and see if there's anything we can do to improve the experience for you. 

Hi community!

Over the past couple of weeks, we've had a bunch of awesome projects coming from you, so here's a little summary of things you've built in Deepnote ⬇️

Keep rocking, and do share your hacks with us, it's our favorite 💙

Pt 1 in the series on learning NLP from Thiago Cândido is out! You can duplicate his Deepnote notebook and follow him as he walks through the materials from Stanford's NLP course. 

Send some 💙 & feedback his way! 

Learn NLP the Stanford way — Lesson 1

An NLP introduction, Word Vectors, and an invitation for you

https://towardsdatascience.com/learn-nlp-the-stanford-way-lesson-1-3f1844265760

Hi everyone - and welcome to our sparkling new community. ✨ I'm Elizabeth and I drive growth here at Deepnote. I’m inspired by using notebooks as a medium to democratize data in organizations, teach DS & ML to beginners, and empower data science teams. In my previous life, I worked as a strategy consultant doing random things in random places around the world 🇨🇿🇬🇪🇬🇧🇦🇿🇺🇸🇫🇷.

Lately, I’ve been spending a lot of time thinking about mental health, tools for thought 🧠, and the future of notebooks. If you ever want to hang out and talk about any of these, say hi on Twitter or LinkedIn.