We're heads down working on the new Deepnote for Teams release (+ one extra secret release 🤫). After 8 months of remote, we're finally working together from one place!! What is everyone up to this Friday & weekend? 

I found this project today and it's too wholesome not to share. The author creates new memes by generating captions using GPT-3 and GPT-Neo. The Google Colab project is available here, it's good stuff 




Hi you, hope everyone's week is going well! 👋 Tomorrow we're throwing together another happy hour - this time, it's game night! Come join & chill with us - RSVP here. 

This is a great opportunity to connect with other makers, data scientists and developers from the community and meet the Deepnote team 🍹 No matter if you're new in the community or you've been around for a while - everyone is welcome!

Our friends over at UC Berkeley sponsored by Honda built machine learning methods that can predict a vehicle’s future location and dwell time (how long a car will remain stationary for) using Deepnote. 🚗 

This enables a host of services - from making a car a delivery location, getting services on the move, and entering a personal car into the gig economy to earn passive income. 

You can check out their awesome work in this article and run their code in this interactive Deepnote project. Well done team 👏 

We have 4 awesome events planned for June for us to mingle, learn more about each other, code together and find out what's new in the Deepnote universe. Hope to see you there 👋

June 10 🍹[Happy hour] Deepnote & chill - RSVP here
Connect with other makers, data scientists and developers from the community and meet the Deepnote team 🍹 Grab a drink (coffee, mimosa or something stronger depending on timezone & preference, we don't judge) and relax. No matter if you're new or been around for a while - everyone is welcome!

June 17 👨‍💻👩‍💻 [Coding session] Building a time machine with Deepnote + Streamlit (vol2) - RSVP here
In this group coding session led by  Ramansh Sharma , we’re building a Time machine using Deepnote + Streamlit. In the last session, we built a starter project. This time around, we will be working in 2 groups to build & deploy a model as a Streamlit app. 

June 17 ⭐ [New in Deepnote] Demo + Q&A - RSVP here

Join us for a demo of the latest features in Deepnote and a Q&A with the team, led by Itto. Come learn what's new & ask us some hard questions! (And yes, we're pulling off 2 community events on the same day 🤯) 

June 30 👨‍💻👩‍💻 [Coding session] Community analyzes Community 🔮 - RSVP here

I'm STOKED about this meta session. We'll be doing Natural Language Processing (NLP) on text from our very own forum and turning our data into fun visualizations and insights. We'll split into groups and work in parallel to see what group can come up with most interesting, random, and fun insights from the Deepnote community data. Both beginners & advanced coders are welcome! ​💙

📅 Pro tip: to see all future Deepnote community events, subscribe to our Google calendar (works from desktop only).

Hi everyone! We're back with our usual community roundup - here we summarize the top 10 projects built by the community - YOU ✨ - last month. Thanks for being awesome & sharing your work and creativity with us!

As always, if your work is spotlighted here and you don't have Deepnote swag yet, please DM me your T-shirt size & address and I'll make sure we fix that. Let's get  into the roundup 👇

📖  Sumit Kumar Singh  built a script that allows you to create kindle ebooks from any markdown file. He describes the process in his blog & uses a Deepnote notebook to run the commands.

📽️  Syahrul Bahar Hamdani   used scheduling in Deepnote to extract YouTube trending video statistics. Check out his work here.

🚗  ejm  introduced a way to bring ML into traffic & transportation data, on the concept of annual average daily traffic - answering the question of "on an average day, what would the traffic be like on this section of road?"

⛏️  Ramshankar Yadhunath  showed us how to scrape TED to get a fresh new data set for your analyses.

💊  Белякова Анастасия  trained a ML model to search for antibiotics resistance genes in a bacterial genome. You can run & duplicate her project here.

📉  NeDiego  showed us how to draw Edgeworth boxes with their contract curves using notebooks.

❤️  HAITAM BORQANE  analysed Kaggle's Heart Attack dataset, analysing variables that might contribute to the probability of a heart attack. This has been his first project - well done & thank you Haitam for sharing! 👏

📊  Taigi100  predicted how various factors influence the suicide rate. Another first-time project, great job on this one! 💙

🦆  Abid  built a comprehensive introduction to DuckDB and how you can leverage it in Deepnote.

📘  Josh Zwiebel  wrote an article about Ray which is a distributed computing library in Python, describing its features and speed gains of paralleizing your code.

Happy Thursday friends! In today's product updates we're excited to share our first case study - a look into how VantAI uses Deepnote, Deepnote profiles for teams and a new way to make your GitHub projects interactive. As always, to learn more about the newest features, we'd love for you to join us for the next New in Deepnote demo in June - RSVP here. 

In the coming weeks, we will share 3 case studies showing you how our customers use Deepnote - and how you can adopt it to empower your own team. We're kicking things off with the story of VantAI. VantAI is a biotech startup developing technology to accelerate drug discovery and research. Read the case study to learn how Deepnote helps them drive iteration speed, collaboration and opens access to code and data for the whole team. 





2 weeks ago, we launched Deepnote profiles for all. Today, we're back with an upgrade - now you can build a public profile for your team and create a knowledge repo or a mosaic of your team's work (like this one!). Check out the video above to learn more about how you can publish a notebook and activate your profile. 

We also just built this and would love for you to try it out. Just enter the GitHub URL of any public notebook and hit Render to instantly view the notebook. It will get an article-like layout and a table of contents. Pretty neat, right? 

You can also use the Deepnote Viewer to add a View in Deepnote badge for your GitHub repo. If you do so, don't forget to share the repo with us in the Showcase channel here, in the community. The first 20 of you will get a Deepnote surprise 👀.

After a short break, we're back with the second installment of Deepnote competition! 🎉 Thank you for all the love and amazing things you built in the first round.

This time, we're back with a spin - June 2021 competition round has a topic 💉 vaccinations around the world. We invite you to create & publish a notebook about Covid-19 vaccinations – this can be an analysis of your country's open data on vaccination, a comparison of different countries' progress, or any vaccination-related article. Submissions open on May 26th and the deadline for submissions is June 30th 2021! 

We have some good ones! On July 5, we will announce 3 winners who will be rewarded with $500, $300 and $200 cash prizes for the 3 best submissions. AND - 3 Winners + 3 Finalists will get a Deepnote swag pack and 1-year subscription to the Deepnote Teams plan. 

Taking part is as easy as 1...2...:

If you're new to Deepnote or don't know how to go about publishing a notebook, fear not!  Simon  has created this 2-minute video to get you started:




As always, you can learn more here + post any questions below. Good luck - can't wait to see what y'all build!!! 🤞💙 

What did you manage to build / accomplish this week? Is there anything that happened that put a smile on your face? Come share a few highlights to end your week on a high note. 💙

Sebastian Raschka just published a notebook on Deepnote, combining interactive .ipynb files with video recordings to explain NumPy and Matplotlib. This is built based on his Stat 451: Introduction to Machine Learning and Statistical Pattern Classification class that he teaches at UW-Madison. Hope you enjoy it! 

https://deepnote.com/@sebastian-raschka-38a1/Scientific-Computing-in-Python-Introduction-to-NumPy-and-Matplotlib-Duplicate-k9EmEp0DSKalcJSjlXNm2w