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SQL in Jupyter? Yep – it’s here! ⚡ In PyCharm 2025.1, you can now run SQL cells inside Jupyter notebooks. 👉 Learn what’s new:

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PyCharm, a JetBrains IDE

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13,361 görüntüleme • 1 yıl önce •via X (Twitter)

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Ryan Loechner1 yıl önce

The free trial for Jupyter was impressive, but the pricing structure lacks clarity. Without specific cost details, it’s challenging to justify adopting it for my project, especially when other AI tools offer the same functionality with straightforward pricing. Could you share more details on the pricing model or plans to improve cost transparency?

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One PyCharm for all. 👑 No more Community and Professional Editions – a single PyCharm for everyone. ✨ Unified product 💻 Free forever (with one month of Pro) 📓 Jupyter support is now FREE! 👉 Learn what’s new:
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One PyCharm for all. 👑 No more Community and Professional Editions – a single PyCharm for everyone. ✨ Unified product 💻 Free forever (with one month of Pro) 📓 Jupyter support is now FREE! 👉 Learn what’s new:

PyCharm, a JetBrains IDE

29,230 görüntüleme • 1 yıl önce

You won’t believe what Agent Mode can do in Jupyter Notebooks 🤯
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You won’t believe what Agent Mode can do in Jupyter Notebooks 🤯

Visual Studio Code

73,866 görüntüleme • 1 yıl önce

AI coding just arrived in Jupyter notebooks - and bhupesh ganger (Jupyter co-founder) and I will show you how to use it. Coding by hand is becoming obsolete. The latest Jupyter AI - built by the Jupyter team and showcased at JupyterCon this week - brings AI assistance directly into notebooks. Most AI coding assistants struggle with Jupyter notebooks. Jupyter AI was designed specifically for them. This is the first course to teach it. In this course, Brian and I teach you to: - Generate and debug code directly in notebook cells through an integrated chat interface - Provide the right context (like API docs) to help AI write accurate code - Use Jupyter AI's unique notebook features: drag cells to chat, generate cells from chat, attach context for the LLM We've integrated Jupyter AI directly into the DeepLearningAI platform, so you can start using it immediately. Since Jupyter AI is open source, you can also install and run it locally afterward. Whether you're experienced with notebooks or learning them for the first time, this course will prepare you for AI-assisted notebook development. Start using Jupyter AI (free):
2:46

AI coding just arrived in Jupyter notebooks - and bhupesh ganger (Jupyter co-founder) and I will show you how to use it. Coding by hand is becoming obsolete. The latest Jupyter AI - built by the Jupyter team and showcased at JupyterCon this week - brings AI assistance directly into notebooks. Most AI coding assistants struggle with Jupyter notebooks. Jupyter AI was designed specifically for them. This is the first course to teach it. In this course, Brian and I teach you to: - Generate and debug code directly in notebook cells through an integrated chat interface - Provide the right context (like API docs) to help AI write accurate code - Use Jupyter AI's unique notebook features: drag cells to chat, generate cells from chat, attach context for the LLM We've integrated Jupyter AI directly into the DeepLearningAI platform, so you can start using it immediately. Since Jupyter AI is open source, you can also install and run it locally afterward. Whether you're experienced with notebooks or learning them for the first time, this course will prepare you for AI-assisted notebook development. Start using Jupyter AI (free):

Andrew Ng

117,949 görüntüleme • 8 ay önce

Run MATLAB code directly in Jupyter notebooks, JupyterLab, and JupyterHub using the MATLAB kernel. Just open a browser-based MATLAB environment from Jupyter to directly access MATLAB apps and features. Get started with our repo: #Jupyter #Coding
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Run MATLAB code directly in Jupyter notebooks, JupyterLab, and JupyterHub using the MATLAB kernel. Just open a browser-based MATLAB environment from Jupyter to directly access MATLAB apps and features. Get started with our repo: #Jupyter #Coding

MATLAB

13,874 görüntüleme • 1 yıl önce

Did you know that you can use GitHub Copilot in notebooks? Accept and run generated code with just a click. You can even attach variables from the Jupyter kernel in your requests ✨
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Did you know that you can use GitHub Copilot in notebooks? Accept and run generated code with just a click. You can even attach variables from the Jupyter kernel in your requests ✨

Visual Studio Code

44,371 görüntüleme • 1 yıl önce

Check this!! An MCP server to control Jupyter notebooks from Claude! It lets you: - Create code cells - Execute code cells - Create markdown cells Completely free to use!
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Check this!! An MCP server to control Jupyter notebooks from Claude! It lets you: - Create code cells - Execute code cells - Create markdown cells Completely free to use!

Avi Chawla

56,911 görüntüleme • 1 yıl önce

Turning Jupyter notebooks directly into an interactive dashboard with automatic deployment on Hugging Face 👇 GitHub: Web App: #geospatial #dataviz #jupyter
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Turning Jupyter notebooks directly into an interactive dashboard with automatic deployment on Hugging Face 👇 GitHub: Web App: #geospatial #dataviz #jupyter

Qiusheng Wu

51,631 görüntüleme • 3 yıl önce

Here’s a StudyBot that can help you learn SQL in 28 Days! With the help of Vondy, I have made a ChatBot that can help you learn SQL for Data Science with a Custom Study plan in 28 days! (Link to the StudyBot below 👇)
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Here’s a StudyBot that can help you learn SQL in 28 Days! With the help of Vondy, I have made a ChatBot that can help you learn SQL for Data Science with a Custom Study plan in 28 days! (Link to the StudyBot below 👇)

Sasi 📊📈

24,163 görüntüleme • 2 yıl önce

Need more powerful GPUs in Jupyter notebooks? The new Hyperbolic AI Cloud Cursor extension lets you use H100 GPUs for $0.99/hr. Watch the demo to see how we can accelerate your AI/ML workloads.
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Need more powerful GPUs in Jupyter notebooks? The new Hyperbolic AI Cloud Cursor extension lets you use H100 GPUs for $0.99/hr. Watch the demo to see how we can accelerate your AI/ML workloads.

Hyperbolic

21,506 görüntüleme • 1 yıl önce

LiveSQL is your new SQL bestie - allowing you to learn, write and execute SQL all in your browser, with ZERO database setup or installations! (& did I mention it's free???) 😝
5:24

LiveSQL is your new SQL bestie - allowing you to learn, write and execute SQL all in your browser, with ZERO database setup or installations! (& did I mention it's free???) 😝

layla

31,250 görüntüleme • 1 yıl önce

Secure your code against SQL injection! 🛡️ GitHub Copilot can help you write safer SQL queries and avoid vulnerabilities. ✅ Learn how and get more security best practices with Copilot here. ⬇️
1:36

Secure your code against SQL injection! 🛡️ GitHub Copilot can help you write safer SQL queries and avoid vulnerabilities. ✅ Learn how and get more security best practices with Copilot here. ⬇️

GitHub

27,520 görüntüleme • 1 yıl önce

Now this is SQL injection. Watch and learn
0:37

Now this is SQL injection. Watch and learn

Cyber_Racheal

86,060 görüntüleme • 4 ay önce

Excited to release: Jupyter Agent 2 The agent can load data, execute code, plot results inside Jupyter faster than you can scroll! 🤖 Powered by Qwen3-Coder ⚡️ Running on Cerebras ⚙️ Executed in E2B ↕️ Upload your files All videos are in *real time*!
1:15

Excited to release: Jupyter Agent 2 The agent can load data, execute code, plot results inside Jupyter faster than you can scroll! 🤖 Powered by Qwen3-Coder ⚡️ Running on Cerebras ⚙️ Executed in E2B ↕️ Upload your files All videos are in *real time*!

Leandro von Werra

66,165 görüntüleme • 10 ay önce

I've done analyses in Jupyter notebook for years. Now Code Interpreter can write all the code, but I haven't used it daily because you can't tweak code, re-run analyses, install packages, etc. I built Juno w/ Alexi Robbins to bring GPT into Jupyter for the best of the worlds
0:20

I've done analyses in Jupyter notebook for years. Now Code Interpreter can write all the code, but I haven't used it daily because you can't tweak code, re-run analyses, install packages, etc. I built Juno w/ Alexi Robbins to bring GPT into Jupyter for the best of the worlds

Andrew Mauboussin

49,846 görüntüleme • 3 yıl önce

Jupyter users will love this!! Stickyland is an open-source tool that lets you break the linear presentation of a notebook. - Create floating cells - Create a dashboard of cells - Auto-run cells upon changes
0:30

Jupyter users will love this!! Stickyland is an open-source tool that lets you break the linear presentation of a notebook. - Create floating cells - Create a dashboard of cells - Auto-run cells upon changes

Avi Chawla

65,588 görüntüleme • 1 yıl önce

Massive breakthrough here! Someone fixed every major flaw in Jupyter Notebooks. The .ipynb format is stuck in 2014. It was built for a different era - no cloud collaboration, no AI agents, no team workflows. Change one cell, and you get 50+ lines of JSON metadata in your git diff. Code reviews become a nightmare. Want to share a database connection across notebooks? Configure it separately in each one. Need comments or permissions? Too bad. Jupyter works for solo analysis but breaks for teams building production AI systems. Deepnote just open-sourced the solution (Apache 2.0 license) They've built a new notebook standard that actually fits modern workflows: ↳ Human-readable YAML - Git diffs show actual code changes, not JSON noise. Code reviews finally work. ↳ Project-based structure - Multiple notebooks share integrations, secrets, and environment settings. Configure once, use everywhere. ↳ 23 new block - SQL, interactive inputs, charts, and KPIs as first-class citizens. Build data apps, not just analytics notebooks. ↳ Multi-language support - Python and SQL in one notebook. Modern data work isn't single-language anymore. ↳ Full backward and forward compatibility: convert any Jupyter notebook to Deepnote and vice versa with one command. npx @ deepnote/convert notebook.ipynb Then open it in VS Code, Cursor, WindSurf, or Antigravity. Your existing notebooks migrate instantly. Their cloud version adds real-time collaboration with comments, permissions, and live editing. I've shared the GitHub repo link in the replies! It's 100% open-source.
0:34

Massive breakthrough here! Someone fixed every major flaw in Jupyter Notebooks. The .ipynb format is stuck in 2014. It was built for a different era - no cloud collaboration, no AI agents, no team workflows. Change one cell, and you get 50+ lines of JSON metadata in your git diff. Code reviews become a nightmare. Want to share a database connection across notebooks? Configure it separately in each one. Need comments or permissions? Too bad. Jupyter works for solo analysis but breaks for teams building production AI systems. Deepnote just open-sourced the solution (Apache 2.0 license) They've built a new notebook standard that actually fits modern workflows: ↳ Human-readable YAML - Git diffs show actual code changes, not JSON noise. Code reviews finally work. ↳ Project-based structure - Multiple notebooks share integrations, secrets, and environment settings. Configure once, use everywhere. ↳ 23 new block - SQL, interactive inputs, charts, and KPIs as first-class citizens. Build data apps, not just analytics notebooks. ↳ Multi-language support - Python and SQL in one notebook. Modern data work isn't single-language anymore. ↳ Full backward and forward compatibility: convert any Jupyter notebook to Deepnote and vice versa with one command. npx @ deepnote/convert notebook.ipynb Then open it in VS Code, Cursor, WindSurf, or Antigravity. Your existing notebooks migrate instantly. Their cloud version adds real-time collaboration with comments, permissions, and live editing. I've shared the GitHub repo link in the replies! It's 100% open-source.

Akshay 🚀

33,291 görüntüleme • 7 ay önce

Cursor, WindSurf, and Copilot suck with Jupyter notebooks. They are great when you are writing regular code, but notebooks are a different monster. Vincent is an extension fine-tuned to work with notebooks. 10x better than the other tools! Here is a quick video:
4:20

Cursor, WindSurf, and Copilot suck with Jupyter notebooks. They are great when you are writing regular code, but notebooks are a different monster. Vincent is an extension fine-tuned to work with notebooks. 10x better than the other tools! Here is a quick video:

Santiago

148,159 görüntüleme • 1 yıl önce

SQL Studio is now in public beta 🚀 A modern, cross-platform SQL client built for speed and clarity. SQLite supported. More dialects coming. Bugs included 🪲 👉
0:32

SQL Studio is now in public beta 🚀 A modern, cross-platform SQL client built for speed and clarity. SQLite supported. More dialects coming. Bugs included 🪲 👉

Antfroze

181,425 görüntüleme • 5 ay önce

It's launch week . 5 days 5 launches Day 1: SQL Server Data Connector Now you can connect your SQL Server to Julius in just a few clicks and instantly explore your data. Track adoption, analyze performance, and access KPIs all without writing a single line of SQL
1:32

It's launch week . 5 days 5 launches Day 1: SQL Server Data Connector Now you can connect your SQL Server to Julius in just a few clicks and instantly explore your data. Track adoption, analyze performance, and access KPIs all without writing a single line of SQL

rahul

48,106 görüntüleme • 8 ay önce

Introducing MakeReal in jupyter-tldraw ✨ Now you can hand-draw a plot on a tldraw whiteboard and turn it into Matplotlib code directly in a notebook.
0:23

Introducing MakeReal in jupyter-tldraw ✨ Now you can hand-draw a plot on a tldraw whiteboard and turn it into Matplotlib code directly in a notebook.

Jan-Hendrik Müller

239,724 görüntüleme • 2 yıl önce