Загрузка видео...

Не удалось загрузить видео

На главную

Visualizing complex data in Python just got easier! Meet Cosmograph for Python 🪐: The widget brings GPU-accelerated, interactive layout graph rendering right inside your Jupyter notebooks. Here’s why it’s a game-changer: ⚡ GPU-accelerated performance ⛓️ Interactive network exploration with pan, zoom, hover & selection ⚙️ Rich configuration APIs for...

DailyDoseOfDS_'s profile picture

Daily Dose of Data Science

47,435 subscribers

27,283 просмотров • 1 год назад •via X (Twitter)

Наука и технологииЗдоровье и велнесОбразование
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

6. Explore the basics of Python in Harvard’s CS50 course—perfect for getting started with coding, data science, web development, and more.
0:13

6. Explore the basics of Python in Harvard’s CS50 course—perfect for getting started with coding, data science, web development, and more.

HR Swati sharma

97,367 просмотров • 5 месяцев назад

Here’s a proof of concept showing how data calculated in Python can be used in Blender. #Blender can process the received data with custom geometry nodes, custom shaders and full 3D interactivity. This minimal example uses @networkX in Project Jupyter. Learn more in this thread🧵
0:13

Here’s a proof of concept showing how data calculated in Python can be used in Blender. #Blender can process the received data with custom geometry nodes, custom shaders and full 3D interactivity. This minimal example uses @networkX in Project Jupyter. Learn more in this thread🧵

Jan-Hendrik Müller

123,636 просмотров • 1 год назад

Next edit suggestions (Beta) just dropped in JetBrains AI Assistant. Get AI-powered suggestions anywhere in your file, not just the next line. ✅ Available for Java, Kotlin, and Python 🧠 Powered by AI, enhanced by IDE-native actions 💎 Unlimited use with AI Pro and AI Ultimate subscriptions Learn more →
0:15

Next edit suggestions (Beta) just dropped in JetBrains AI Assistant. Get AI-powered suggestions anywhere in your file, not just the next line. ✅ Available for Java, Kotlin, and Python 🧠 Powered by AI, enhanced by IDE-native actions 💎 Unlimited use with AI Pro and AI Ultimate subscriptions Learn more →

JetBrains

17,574 просмотров • 9 месяцев назад

⚛️ In React, rendering large lists or tables can be a drag on performance. The fix? Virtualization! the process of only rendering part of that large data set (just enough to fill the viewport). ✅ Improves rendering time significantly. ✅ Lowers memory consumption.
0:11

⚛️ In React, rendering large lists or tables can be a drag on performance. The fix? Virtualization! the process of only rendering part of that large data set (just enough to fill the viewport). ✅ Improves rendering time significantly. ✅ Lowers memory consumption.

George Moller

55,288 просмотров • 1 год назад

Introducing Snowflake Workspaces — the unified environment where developers build, test, and collaborate on data and AI projects. Code in SQL, Python, or @Streamlit — all inside the Snowflake AI Data Cloud. Fast. Secure. Built for the way you work.
0:15

Introducing Snowflake Workspaces — the unified environment where developers build, test, and collaborate on data and AI projects. Code in SQL, Python, or @Streamlit — all inside the Snowflake AI Data Cloud. Fast. Secure. Built for the way you work.

Snowflake

473,193 просмотров • 7 месяцев назад

🚀 SMV2 Workflow Update Alert! ⏫Managing your engagement just got easier. We’ve added more granular tracking in "My Stats" and deeper insights into your referral network performance. ✅ New Auto-updating status for Retweets ✅ Automatic Outdated Task Removal ✅ Advanced stats for invitees (Followers & Workchain) 🙇‍♂️Read more on our recent blog article and don't hesitate to check our Gitbook for more info and SMV2 improvements! #SocialMining #Web3
0:14

🚀 SMV2 Workflow Update Alert! ⏫Managing your engagement just got easier. We’ve added more granular tracking in "My Stats" and deeper insights into your referral network performance. ✅ New Auto-updating status for Retweets ✅ Automatic Outdated Task Removal ✅ Advanced stats for invitees (Followers & Workchain) 🙇‍♂️Read more on our recent blog article and don't hesitate to check our Gitbook for more info and SMV2 improvements! #SocialMining #Web3

DAO Labs

16,936 просмотров • 1 месяц назад

Introducing segment-geospatial, A Python package for segmenting geospatial data with the Segment Anything Model (SAM) GitHub: Docs: Notebook: #segmentanything #deeplearning #geopython
0:13

Introducing segment-geospatial, A Python package for segmenting geospatial data with the Segment Anything Model (SAM) GitHub: Docs: Notebook: #segmentanything #deeplearning #geopython

Qiusheng Wu

312,328 просмотров • 3 лет назад

We're now rolling out interactive images to the Google Gemini for more visual and dynamic learning. It’s designed to help you visually explore complex academic concepts, turning studying from passive viewing into active exploration. Learn more →
0:18

We're now rolling out interactive images to the Google Gemini for more visual and dynamic learning. It’s designed to help you visually explore complex academic concepts, turning studying from passive viewing into active exploration. Learn more →

Google

468,238 просмотров • 6 месяцев назад

Exciting news from HYPE3.cool! We’re teaming up with Chainbase (💜,💛), the world’s largest omnichain data network to supercharge AI agents with robust on-chain data. Very soon, users will be able to integrate real-time blockchain insights when configuring their agents—making them smarter and more capable than ever! What this means: - Real-time on-chain data for enhanced decision-making - Greater agent intelligence powered by advanced data analytics - Seamless blockchain integration backed by Chainbase (💜,💛)’s decentralized infrastructure About Chainbase: Chainbase is the world’s largest omnichain data network built to power the AI economy with high-quality on-chain data. Through its innovative four-layer, dual-consensus architecture, Chainbase’s network, anchored by Chainbase AVS, provides secure, interoperable data for AI and Web3. Your AI agents can now tap into rich, reliable on-chain insights—paving the way for more dynamic and intelligent interactions. This is just the start of making AI agents truly Web3-native. Stay tuned as we build the future of intelligent property in partnership with Chainbase (💜,💛)! #Web3 #AI #Blockchain
0:10

Exciting news from HYPE3.cool! We’re teaming up with Chainbase (💜,💛), the world’s largest omnichain data network to supercharge AI agents with robust on-chain data. Very soon, users will be able to integrate real-time blockchain insights when configuring their agents—making them smarter and more capable than ever! What this means: - Real-time on-chain data for enhanced decision-making - Greater agent intelligence powered by advanced data analytics - Seamless blockchain integration backed by Chainbase (💜,💛)’s decentralized infrastructure About Chainbase: Chainbase is the world’s largest omnichain data network built to power the AI economy with high-quality on-chain data. Through its innovative four-layer, dual-consensus architecture, Chainbase’s network, anchored by Chainbase AVS, provides secure, interoperable data for AI and Web3. Your AI agents can now tap into rich, reliable on-chain insights—paving the way for more dynamic and intelligent interactions. This is just the start of making AI agents truly Web3-native. Stay tuned as we build the future of intelligent property in partnership with Chainbase (💜,💛)! #Web3 #AI #Blockchain

HYPE3.cool

17,700 просмотров • 1 год назад

The internet is evolving - are you ready? 🌐⚡ At SUI DePIN, your data isn’t just collected - it’s owned by you. Monetize it. Secure it. Power the next generation of AI on the Sui! ✅ Own your data ✅ Earn real rewards ✅ Fuel AI innovation No middlemen. No limits. Just you and your data. Step into the future today 👉
0:10

The internet is evolving - are you ready? 🌐⚡ At SUI DePIN, your data isn’t just collected - it’s owned by you. Monetize it. Secure it. Power the next generation of AI on the Sui! ✅ Own your data ✅ Earn real rewards ✅ Fuel AI innovation No middlemen. No limits. Just you and your data. Step into the future today 👉

Sui DePIN

30,317 просмотров • 1 год назад

A preview Into the future of #quantum-GPU computing: At GTC Washington, D.C., we announced NVIDIA NVQLink, an open system architecture for tightly coupling the extreme performance of GPU computing with quantum processors to build accelerated quantum supercomputers. In the expo hall, accelerated quantum computing was a centerpiece of the NVIDIA booth. See our live blog:
0:17

A preview Into the future of #quantum-GPU computing: At GTC Washington, D.C., we announced NVIDIA NVQLink, an open system architecture for tightly coupling the extreme performance of GPU computing with quantum processors to build accelerated quantum supercomputers. In the expo hall, accelerated quantum computing was a centerpiece of the NVIDIA booth. See our live blog:

NVIDIA AI Developer

54,981 просмотров • 7 месяцев назад

Why do data professionals love PyCharm? 🚀 Discover how Moritz from Scieneers tackles daily challenges with PyCharm: ✨ Refactoring capabilities ⚙️ Easy run configuration setup 🌍 Seamless remote development 🔄 Minimal context switching Watch the video:
0:18

Why do data professionals love PyCharm? 🚀 Discover how Moritz from Scieneers tackles daily challenges with PyCharm: ✨ Refactoring capabilities ⚙️ Easy run configuration setup 🌍 Seamless remote development 🔄 Minimal context switching Watch the video:

PyCharm, a JetBrains IDE

16,492 просмотров • 1 год назад

1. Introduction to Computational Thinking and Data Science Designed for students seeking Python experience and enhanced knowledge of computational complexity. Check here 👇
0:12

1. Introduction to Computational Thinking and Data Science Designed for students seeking Python experience and enhanced knowledge of computational complexity. Check here 👇

Hasan Toor ✪

12,211 просмотров • 2 лет назад

This is the coolest thing you'll see today! Drawdata is a python library that allows you to draw a 2-D dataset of any shape in a Jupyter Notebook. Very handy for learning & understanding the behaviour of ML algorithms! Check this out👇
0:18

This is the coolest thing you'll see today! Drawdata is a python library that allows you to draw a 2-D dataset of any shape in a Jupyter Notebook. Very handy for learning & understanding the behaviour of ML algorithms! Check this out👇

Akshay 🚀

87,966 просмотров • 2 лет назад

10 years of "it can't be done..." 7 NVIDIA GPU architectures... 5 years of RAPIDS AI... 3 years of Voltron Data... finally a petabyte-scale GPU-native engine that DOESN'T require you to change your data pipelines. Same code, same data formats, just modular, interoperable, composable, extensible... and of course ACCELERATED! Theseus is the Scalable Performant And Compute Efficient engine🔥🔥🔥 Check out our benchmarks and new webpage... and reach out if you're struggling with queries above 30TBs.
0:20

10 years of "it can't be done..." 7 NVIDIA GPU architectures... 5 years of RAPIDS AI... 3 years of Voltron Data... finally a petabyte-scale GPU-native engine that DOESN'T require you to change your data pipelines. Same code, same data formats, just modular, interoperable, composable, extensible... and of course ACCELERATED! Theseus is the Scalable Performant And Compute Efficient engine🔥🔥🔥 Check out our benchmarks and new webpage... and reach out if you're struggling with queries above 30TBs.

Josh Patterson

16,959 просмотров • 2 лет назад

DAY19 College(9am-5pm) ✅ Gym(6pm-7pm) ✅ Cohort 4.1,4.2 ✅ Project(7pm-2am) ✅ >Done with the WebSockets >Solo-leveling app getting cooked >Learning python for this -
0:10

DAY19 College(9am-5pm) ✅ Gym(6pm-7pm) ✅ Cohort 4.1,4.2 ✅ Project(7pm-2am) ✅ >Done with the WebSockets >Solo-leveling app getting cooked >Learning python for this -

Wali

41,125 просмотров • 1 год назад

With uv (Astral ) and Zed, it is pretty easy to get set up to work on an existing Python project: 1. Clone the repo 2. `uv sync` to install deps in a .venv 3. Select the .venv in Zed's toolchain selector We have plans to further improve our support of Python. Stay tuned.
0:14

With uv (Astral ) and Zed, it is pretty easy to get set up to work on an existing Python project: 1. Clone the repo 2. `uv sync` to install deps in a .venv 3. Select the .venv in Zed's toolchain selector We have plans to further improve our support of Python. Stay tuned.

Zed

33,261 просмотров • 1 год назад