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Tencent Cloud Developer
Tencent Cloud Developer
Feb 2, 2025 · Artificial Intelligence

Deploying DeepSeek-R1 Models on Tencent Cloud HAI Platform

Deploy DeepSeek‑R1 models on Tencent Cloud HAI in just three minutes by logging in, creating an application, and accessing the model via ChatbotUI or JupyterLab, without purchasing GPUs or configuring environments, while also leveraging integrated services like Cloud Studio and Object Storage for enterprise AI solutions.

AI Model DeploymentChatbotUIDeepSeek-R1
0 likes · 3 min read
Deploying DeepSeek-R1 Models on Tencent Cloud HAI Platform
Architecture Digest
Architecture Digest
Jul 4, 2023 · Fundamentals

JupyterLab 4.0: New Features, Performance Boosts, and Extension Management

JupyterLab 4.0 introduces a flexible multi‑document interface, customizable layouts, an integrated file browser, modular extensibility, built‑in terminal, significant performance improvements, a separate real‑time collaboration package, and a PyPI‑based extension manager, while noting that AI‑assisted coding tools may now outpace it.

Data ScienceExtensionsIDE
0 likes · 4 min read
JupyterLab 4.0: New Features, Performance Boosts, and Extension Management
Python Programming Learning Circle
Python Programming Learning Circle
Apr 1, 2023 · Fundamentals

JupyterLab Visual Debugger and xeus‑python Kernel: Installation, Features, and Front‑End Architecture

The article introduces JupyterLab’s new visual debugger, explains why debugging is needed in Jupyter, provides installation commands for the front‑end extension and xeus‑python kernel, describes the debugger’s UI components and capabilities, and compares it with a VS Code visual debugging tool.

IDEJupyterLabPython
0 likes · 6 min read
JupyterLab Visual Debugger and xeus‑python Kernel: Installation, Features, and Front‑End Architecture
Python Programming Learning Circle
Python Programming Learning Circle
Jul 26, 2022 · Fundamentals

Top 10 JupyterLab Extensions to Boost Data‑Science Productivity

This article introduces ten essential JupyterLab extensions—ranging from a debugger and table of contents to spreadsheet integration, system monitoring, AI‑powered code completion, variable inspection, and interactive plotting—that together transform the JupyterLab environment into a more powerful, IDE‑like workspace for Python data‑science developers.

Data ScienceJupyterLabPython
0 likes · 7 min read
Top 10 JupyterLab Extensions to Boost Data‑Science Productivity
Python Programming Learning Circle
Python Programming Learning Circle
Aug 13, 2021 · Fundamentals

JupyterLab 3.0: New Features, Installation Options, and Extension Improvements

JupyterLab 3.0 introduces a visual debugger, directory extension, multilingual UI, enhanced simple‑mode, better mobile support, and pre‑built extensions, while offering three installation methods (pip, mamba, conda) and streamlined workflows for extension authors, making the notebook environment more powerful and user‑friendly.

DataScienceInstallationJupyterLab
0 likes · 6 min read
JupyterLab 3.0: New Features, Installation Options, and Extension Improvements
Python Programming Learning Circle
Python Programming Learning Circle
Jun 11, 2021 · Fundamentals

10 Jupyter Lab Extensions to Boost Your Productivity

This article introduces ten essential Jupyter Lab extensions—including a debugger, table of contents, DrawIO integration, execution timer, spreadsheet viewer, system monitor, AI code completion, variable inspector, Matplotlib and Plotly support—explaining their features, installation commands, and how they can significantly boost data scientists' productivity.

ExtensionsJupyterLabproductivity
0 likes · 7 min read
10 Jupyter Lab Extensions to Boost Your Productivity
JD Cloud Developers
JD Cloud Developers
Jan 11, 2021 · Artificial Intelligence

Top Tech News: R2DBC for Java, 4600‑km Quantum Network, AI Papers & More

This weekly roundup highlights MariaDB’s new R2DBC connector for Java, China’s 4600‑km quantum communication network, JD’s 16 AAAI‑2021 papers, Intel’s RealSense ID facial recognition, JupyterLab 3.0 release, JD’s Smart Community 2.0, the OpenViDial multimodal dialogue dataset, and the FixMatch semi‑supervised learning breakthrough.

JupyterLabQuantum CommunicationR2DBC
0 likes · 8 min read
Top Tech News: R2DBC for Java, 4600‑km Quantum Network, AI Papers & More
Python Crawling & Data Mining
Python Crawling & Data Mining
Aug 16, 2020 · Frontend Development

12 Must‑Have JupyterLab Extensions to Supercharge Your Data Science Workflow

This guide introduces twelve practical JupyterLab extensions—including debugger, geojson viewer, table of contents, interactive matplotlib, drawio, execution timer, Plotly, spreadsheet viewer, system monitor, Kepler.gl, Kite, and variable inspector—detailing their benefits, installation commands, and usage tips for a more efficient data‑science environment.

ExtensionsJupyterLabdata-science
0 likes · 9 min read
12 Must‑Have JupyterLab Extensions to Supercharge Your Data Science Workflow