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What Can Python Do?

  Python is an incredibly versatile and powerful programming language with a vast range of applications. It’s known for its readability, ease of use, and extensive libraries, making it a popular choice for both beginners and experienced developers. Here’s a breakdown of some of the major areas where Python excels:   1. Web Development: Frameworks:  Python boasts powerful web frameworks like Django, Flask, and Pyramid, which simplify the process of building complex web applications. Backend Development:  Python is primarily used for backend development (server-side logic, database interaction, etc.), but can also be used for frontend development to some extent. APIs:  Python is excellent for creating RESTful APIs for web services. Examples:  Instagram, Spotify, Reddit (backend), YouTube. 2. Data Science and Machine Learning: Data Analysis:  Libraries like NumPy, Pandas, and SciPy provide powerful tools for d...
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Python Platform

  You have several options for running your Python program to generate news reports on a regular basis and receive those reports, each with its own pros and cons. Here’s a breakdown: 1. Cloud-Based Services (Recommended): These services offer a reliable and scalable way to run your code without needing to manage your own server. Google Cloud Functions:  ( https://cloud.google.com/functions ) Pros:  Serverless, pay-per-use, integrates well with other Google Cloud services (e.g., Cloud Scheduler). Cons:  Can be more complex to set up initially, requires a Google Cloud account. How it Works:  You upload your Python code as a Cloud Function, configure it to be triggered by a Cloud Scheduler job (see below), and specify the function’s execution environment. AWS Lambda:  ( https://aws.amazon.com/lambda/ ) Similar to Google Cloud Functions, AWS Lambda offers a serverless computing environment. Pros:  Serverless, pay-per-use, integrates well with other AWS ser...
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Google Co-Scientist

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SemiAnalysis 分析 DeepSeek

  https://semianalysis.com/2025/01/31/deepseek-debates/ SemiAnalysis 深入分析了 DeepSeek 在人工智慧產業中的迅速崛起，重點關注其與 High-Flyer 的策略性關係、 GPU 投資，以及訓練模型的真實成本。 DeepSeek 與 High-Flyer ·         High-Flyer （中國對沖基金）早期認識 AI 的變革潛力，不僅限於金融領域。 2021 年投資 10,000 張 A100 GPU ，預測 AI 需求增長。 2023 年 5 月成立 DeepSeek ，深入 AI 研究。 High-Flyer 與 DeepSeek 共享人力與計算資源， GPU 投資總額超過 5 億美元，即使面臨出口管制。 GPU 資源與投資 ·         DeepSeek 擁有約 50,000 張 Hopper GPU （ H800 、 H20 ），符合監管標準。 這些 GPU 用於交易、推理、訓練及研究。 總伺服器資本支出約 16 億美元，運營成本約 9.44 億美元。 訓練成本與效率 ·         DeepSeek 公開聲稱模型訓練成本約 550 萬美元，但 SemiAnalysis 指出該數字誤導。 綜合評估顯示，實際訓練成本可能高達 16 億美元，包括基礎設施、硬體及運營費用。 市場影響 ·         DeepSeek 的崛起引發 GPU 需求討論。 儘管部分觀點認為其效率將降低對 GPU 的需求，但 SemiAnalysis 指出，這反而提升了市場需求。 H100 和 H200 GPU 價格因此受到影響。 總結 ·         D...
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DeepSeek

Introduction:  Nvidia神話不再？！AI行業大變天⚠今次真係東升西降☀ 實測Deepseek R1: 淺白解說其特別之處 | 為什麼會吸引全球高度關注？ DeepSeek震撼美股！ The Engineering Unlocks Behind DeepSeek | YC Decoded Development: Deep-Agent / R1-V DeepSeek R1 GAVE ITSELF a 200% Speed Boost - Self-Evolving LLM Did DeepSeek R1 Invent a Language Humans CAN'T Understand? DeepSeek R1 Cloned for $30?! PhD Student STUNNING Discovery Politics: 城寨新聞 III 27/1/2025: (9:50) 城寨新聞 I 29/1/2025: 中共人工智能  (21:52) 城寨咖啡室： 2/2/2025: DeepSeek 〈蕭若元：蕭氏新聞台〉2025-01-28 〈蕭若元：蕭氏新聞台〉2025-01-30 《蕭若元：蕭氏新聞台》2024-01-31 《蕭若元》2025-02-02 《蕭氏新聞台》2025-02-04 What DeepSeek is Teaching us about U.S. National Security: A breakdown DeepSeek遭多地政府禁用 改變國運的突破？DeepSeek引爆中國社群媒體 Alexandr Wang Is DeepSeek lying? Scale AI CEO Alexandr Wang on U.S.-China AI race Legal and Copyright Issues OpenAI says DeepSeek used its models illegally Microsoft and OpenAI investigate   Deepseek懶人包 AI War DeepSeek異軍突起 能否助中國勝出美中科技戰？－ BBC News 中文
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