精神紧张时，你会跑向哪个角落给自己"紧急扩容"？有人上班业余时间就冲向户外，用骑行、徒步、夜跑来释放 被代码困住的大脑内存；有人在工位上搭载一座手办展示塔，用二次元的"高维力量"对冲工作带来的损耗；还有 人抓紧一切碎片时间，组队开黑、撸猫遛狗、天台发呆，感受今天的风儿有点喧嚣……程序员们自有一套回血方 式，简直比编程语言还多样！正所谓"人生苦短，我用python"，要问你觉得世界上最好的"状态回血"语言是什 么，你会给出怎样的回答？ 1024程序员节前夕，我们想征集100+位程序员的【状态恢复小妙招】，你的方式或许正是另一个同行急需的"救 命代码"，欢迎分享你的回血姿势～让我们一起搭建这个属于程序员们的"解压仓库"，在每一个宕机的时刻，彼此 点亮："别慌，我们都有办法power off power on!" 点击参与 "能跑就行"，是程序员们一种通用的自嘲语言。别管代码底层逻辑怎样，程序能运行起来了，就不要管了。人生 也是如此，程序员的一天总是过得满满的：需求压垮界面，BUG叠满屏幕，老板夺命连环call……代码有负载爆 表的时刻，人也会压力过载，但不管是程序还是人，"能跑就行"！放过自己，未尝不是一种选择。 ...

TIOBE 2025 年 10 月份的编程语言排行榜已经公布，官 方的 标 题是： 第二名之争愈演愈烈 （The fierce battle for second place in the TIOBE index） ！ 自从 2023 年末 Python 拿下 TIOBE 第一名后，就没下来过。 而在它身后 C、C++ 和 Java 一直在为第二名的位置展开激烈竞争。 过去一年多，这三门语言之间的排名差距始终不足 1%，有时是 C 领先，有时是 C++ 反超，而如今 C 再次回到了第二名的位置，Java 则始终 紧随其后，从未掉队。 C、C++、Java 能持续存在的，关键在于他们有自身的优势： 本月，C 能够重新拿下第二名，主要得益于 C23 标准的发布和应用带来的推动力。 | | | | C | Python | 24.45% | | --- | --- | --- | --- | --- | --- | | 2 | 4 | A | (00 | ഗ | 9.29% | | 3 | 2 | V | 16 | C++ | 8.84% | | ব | 3 | V | טר | Java | 8.35% | | ...

我们知道，一个好的「品味（taste）」对于做好 AI 产品，很重要。但对于技术，「品味」也同样重 要。 对于工程师来说，技术的品味与技术能力是两码事。有人可能技术能力强但品味差，或者技术弱但品味 好。培养一个「好」的技术品味，有时会让结果超出原有的技术能力。 那么，略显「玄妙」的技术品味的核心是什么？硅谷资深工程师 sean goedecke 给出的答案是： 「为当 前项目选择适配的工程价值观」的能力。 因为在软件工程领域，绝大多数的决策，核心都是在不同目标之间进行权衡。很少会遇到一个选项在所 有方面都绝对优于另一个选项的情况。这时候，有一个好的工程价值观就特别重要。 如何建立一个好的工程价值观，都在 sean goedecke 的这篇经验帖里了。 sean goedecke：Github 高级工程师 个人主页介绍：https://www.seangoedecke.com/my-engineering-values-2025/ 原博客链接：https://www.seangoedecke.com/taste/?utm_campaign=what-is-good-taste-in-software-engin ...

Jay 发自 凹非寺 量子位 | 公众号 QbitAI Python依然是最好的语言。 在刚刚出炉的IEEE Spectrum 2025编程语言排行榜上，Python再次斩获最受欢迎的编程语言。 不仅是冠军，而且是「一骑绝尘」的断崖式领先—— 第二名Java和Python的差距相当悬殊。 更可怕的是，Python仍保持着迅猛的增长速度，一、二名之间的鸿沟还在越拉越大。 Python十连冠 继连续九届蝉联IEEE Spectrum榜首后，Python今年再次发力，拿下了编程语言综合排名榜十连冠。 而且， 这是Python首次在综合排名、增长速度、就业导向等三个板块都问鼎第一，也是IEEE榜单12年来第一个三冠王。 想当年，Python刚出道时就因简洁性闻名遐迩，因此逐渐替代Java成为了高校的教学语言。 随后，NumPy、SciPy、matplotlib、pandas等库相继问世，让Python迅速成长为科研、金融、数据分析领域的王牌。 在这一过程中， 网络效应发挥了巨大作用。 越来越多的程序员选择Python，并基于它开发了各类工具，在开源社区贡献了海量的代码和解决方案，逐渐构建出属于Python的生态护城 ...

Core Viewpoint - The article discusses the evolving landscape of programming languages, highlighting the dominance of Python and the decline of JavaScript, while emphasizing the impact of AI on programming practices and the potential stagnation of new language development [2][4][19]. Programming Language Rankings - IEEE Spectrum's 2025 ranking includes 64 programming languages, evaluated based on usage by programmers, employer demand, and current trends, with Python retaining the top position [2][4]. - JavaScript dropped from third to sixth place, attributed to the rise of AI tools that reduce the need for traditional coding practices [4][10]. Metrics and Methodology - The ranking process utilized seven different metrics, including Google search traffic, Stack Exchange questions, research paper mentions, and GitHub activity, reflecting the attention garnered by various languages [3][4]. AI's Influence on Programming - The article notes a significant reduction in questions posted on Stack Exchange, with 2025's volume at only 22% of 2024's, indicating a shift towards AI-assisted coding [12][13]. - Developers are increasingly relying on AI models like Claude and ChatGPT for coding assistance, leading to a diminished focus on specific programming languages [12][13]. Future of Programming Languages - The article raises concerns about the potential decline in the emergence of new programming languages, as AI tools may address many coding challenges, reducing the need for new languages [15][19]. - It speculates that programming may evolve towards a model where AI generates code from high-level prompts, potentially rendering traditional programming languages less relevant [18][19].

RT Tetsuo (@tetsuoai)Grok 4 prompt for optimizing your Python code.(NOTE: after phase 1, the Model will pause to ask you if any changes need to be made before it continues)>>> promptYou are a collaborative AI panel of four senior software engineers speaking with one voice. Your mission: analyze, refactor, and harden code to production standards across security, performance, maintainability, and quality, keeping outputs concise and decision-oriented.Personas (combine insights into one answer)1. Senior Archit ...

以下文章来源于伯乐在线 ，作者伯小乐 小哥坦言，即便有 300 万美元净资产，自己依旧不开心。里面详细说了他对当前职业和生活状态的失望。虽 然有常春藤盟校的学士学历，在 IT 行业打拼多年，身材也保持得很好（常年健身六块腹肌），但他承认自己 过得不开心，还特别孤独。 伯乐在线分享IT互联网职场和精选干货文章（原域名已不再维护）。组织维护10万+star的开源技术资源 库，包括：Python, Java, C/C++, Go, JS, CSS, Node.js, PHP, .NET 等 33 岁程序员手握 300 万美元净资产，却想退休："我可不想像那位微软工程师一样猝死" "我 33 岁，净资产 300 万美元，能退休吗？" 这是一位在 Pinterest 的程序员小哥 Ra 在国外匿名社交平台上发的话题，引发了网友热议。 伯乐在线 . "我今年 33 岁，感觉真的撑不下去了。不管看哪里，满眼都是自负、谎言和恐惧。" 他解释，自己的投资包括一套能低息产生租金收入的房子，还有其他资产，所以现在有稳定的"现金流"。他的 长远计划是移居国外。 帖子里还提到："再也不搞 AI，再也不碰 IT 行业，再也不折腾这些没用 ...

Core Viewpoint - The article discusses an open-source project that allows running a full Windows operating system within a Docker container, providing a lightweight alternative to traditional virtual machines [1][3]. Group 1: Docker Overview - Docker is described as a lightweight virtualization tool that packages applications and their environments into containers, allowing for quick startup and minimal resource usage compared to traditional virtual machines [5][6]. - Docker can run various applications, including MySQL, Nginx, and Python, on Linux while isolating different environments [7]. Group 2: Windows in Docker - The project dockur/windows enables the installation of Windows operating systems within Docker containers, which is an unconventional approach as Docker is typically used for Linux applications [8]. - Supported Windows versions and their sizes are listed, including: - Windows 11 Pro: 5.4 GB - Windows 10 Pro: 5.7 GB - Windows 7 Ultimate: 3.1 GB - Windows XP Professional: 0.6 GB - Windows Server 2022: 6.0 GB [9][10]. Group 3: Installation Instructions - Three methods for running Windows in Docker are provided: 1. Using Docker Compose with a configuration file [11]. 2. Using Docker CLI for direct command execution [11]. 3. Deploying via Kubernetes with an official configuration file [11]. - After configuration, executing `docker-compose up -d` allows access to the Windows desktop via a web browser [12].

Core Insights - The GOSIM HANGZHOU 2025 conference highlighted the integration of open-source and AI technologies, showcasing their potential across various industries and emphasizing the importance of community collaboration in driving innovation [1][3][4]. Group 1: Conference Overview - The conference attracted over 200 global leaders in open-source and AI, along with more than 1500 developers, featuring keynote speeches, high-end forums, and specialized discussions on AI models and infrastructure [1][3]. - Keynote speakers included influential figures from organizations like the United Nations and major tech companies, discussing the significance of open-source in AI development and global collaboration [3][6][7]. Group 2: Community and Collaboration - The event emphasized community engagement, with forums dedicated to the Rust programming language and hands-on workshops that fostered interaction among developers [4][5][15]. - The conference featured a strong focus on practical applications, including hackathons that encouraged developers to create innovative solutions in real-time [22][24]. Group 3: AI and Open Source Integration - Discussions on the future of AI highlighted the need for high-quality training data and the challenges of integrating AI into real-world applications, stressing the role of open collaboration in overcoming these hurdles [8][12]. - The conference explored various AI themes, including embodied intelligence, intelligent agents, and the next generation of AI technologies, showcasing advancements and potential applications [10][12][14]. Group 4: Workshops and Practical Engagement - A total of 14 workshops were organized, allowing developers to engage in hands-on learning and collaboration on cutting-edge technologies [17][20]. - The workshops covered a range of topics, from AI inference to cross-platform development, providing participants with practical skills and insights [18][20]. Group 5: Future Directions and Closing Remarks - The conference concluded with a call for continued collaboration in the open-source AI community, setting the stage for future events and innovations [33][34]. - GOSIM HANGZHOU 2025 served as a platform for fostering connections between academia and industry, promoting ongoing dialogue and exploration in the tech community [29][31].

Core Insights - The article discusses various Python libraries that enhance automation, making it more efficient and user-friendly [1][13]. Group 1: Automation Libraries - **pyautogui**: Allows control of mouse and keyboard for automating non-API applications, though it can lead to unintended actions [3]. - **schedule**: Simplifies task scheduling in Python, making it more readable compared to traditional methods [4]. - **watchdog**: Monitors file changes and triggers actions instantly, useful for local continuous integration [5][6]. - **pyperclip**: Facilitates copying and pasting directly from Python, streamlining data scraping processes [7]. - **httpx**: Supports asynchronous HTTP requests, enhancing performance for web automation [8]. - **keyboard**: Enables hotkey automation, allowing scripts to be triggered by keystrokes [9]. - **loguru**: Improves logging capabilities, making it more user-friendly compared to built-in logging modules [10]. - **rpa (TagUI)**: Provides a Python-based robotic process automation tool, simplifying web automation tasks [11]. - **rich**: Enhances terminal output aesthetics, making logs and dashboards more readable [12].