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% | | ...

Provides comprehensive, AI-powered solutions to help states deliver sustainable, high-quality healthcare in rural communities Offers recommendations to states seeking to maximize the impact of the Rural Health Transformation Program , /PRNewswire/ --Â During the Rural Transformation Planning Summit, Oracle reaffirmed its commitment to improving rural health and provided detailed recommendations to help states maximize the opportunity of the Centers for Medicare & Medicaid Services' Rural Health Transformati ...

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 ...

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 ...

之前刷到：《 趣图："软件工程，毁了我的儿子" 》 今天刷到下面这版： 趣图: 后端开发 vs 前端开发 往期趣图 （点击下方图片可跳转阅读） 趣图: 敢动遗留代码的实习生 趣图: 程序员修 Bug 的六种方式 ...

Core Viewpoint - The emergence of large language models (LLMs) represents a transformative change in software development, comparable to the shift from assembly language to the first generation of high-level programming languages [5][10]. Group 1: Impact of LLMs on Programming - LLMs not only enhance the level of abstraction in programming but also compel a reevaluation of what it means to program with non-deterministic tools [7][10]. - The transition from deterministic to non-deterministic programming paradigms expands the dimensions of programming practices [8][10]. Group 2: Historical Context of Programming Languages - High-level programming languages (HLLs) introduced a new level of abstraction, allowing programmers to think in terms of sequences, conditions, and iterations rather than specific machine instructions [8][9]. - Despite advancements in programming languages, the fundamental nature of programming has not changed significantly until the advent of LLMs [6][9]. Group 3: Embracing Non-Determinism - The introduction of non-deterministic abstractions means that results from LLMs cannot be reliably reproduced, contrasting with the consistent outcomes from traditional programming [10][13]. - The industry is experiencing a radical transformation as developers learn to navigate this non-deterministic environment, which is unprecedented in the history of software development [13].

Group 1 - Oracle Corporation will release its first quarter fiscal year 2026 results on September 9, 2025, after the market closes [1] - A conference call and live webcast will be held at 4:00 p.m. Central Time to discuss the financial results [1] - The live webcast will be accessible on the Oracle Investor Relations website [1] Group 2 - Oracle provides integrated suites of applications and secure, autonomous infrastructure in the Oracle Cloud [2] - For more information about Oracle, the company can be visited at their official website [2]

Core Viewpoint - The article emphasizes the importance of understanding AI and its underlying principles, suggesting that individuals should start their journey into AI by grasping fundamental concepts and practical skills. Group 1: Understanding AI - AI is defined through various learning methods, including supervised learning, unsupervised learning, and reinforcement learning, which allow machines to learn from data without rigid programming rules [9][11][12]. - The core idea of modern AI revolves around machine learning, particularly deep learning, which enables machines to learn from vast amounts of data and make predictions [12]. Group 2: Essential Skills for AI - Three essential skills for entering the AI field are mathematics, programming, and practical experience. Mathematics provides the foundational understanding, while programming, particularly in Python, is crucial for implementing AI concepts [13][19]. - Key mathematical areas include linear algebra, probability and statistics, and calculus, which are vital for understanding AI algorithms and models [13]. Group 3: Practical Application and Tools - Python is highlighted as the primary programming language for AI due to its simplicity and extensive ecosystem, including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch [20][21]. - Engaging in hands-on projects, such as data analysis or machine learning tasks, is encouraged to solidify understanding and build a portfolio [27][46]. Group 4: Career Opportunities in AI - Various career paths in AI include machine learning engineers, data scientists, and algorithm researchers, each focusing on different aspects of AI development and application [38][40]. - The article suggests that AI skills can enhance various fields, creating opportunities for interdisciplinary applications, such as in finance, healthcare, and the arts [41][43]. Group 5: Challenges and Future Directions - The rapid evolution of AI technology presents challenges, including the need for continuous learning and adaptation to new developments [34][37]. - The article concludes by encouraging individuals to embrace uncertainty and find their passion within the AI landscape, highlighting the importance of human creativity and empathy in the technological realm [71][73].

Group 1 - The instructor, Nan Feng, is a senior lecturer in Python at Turing and has extensive development experience with major companies like Baidu and JD [1][3] - Nan Feng is proficient in programming languages such as Python and Java, as well as commonly used databases, and has worked on high-difficulty projects involving large data sets, including big data analysis [1] - His teaching style is engaging and easy to understand, using real-world examples from his previous work to illustrate complex technical concepts [3] Group 2 - Nan Feng's classes create a relaxed atmosphere, making learning enjoyable and effective, which helps students grasp the material quickly [3] - He incorporates humor into his teaching, preventing the lessons from becoming monotonous and enhancing the overall learning experience [3]

Grok Code Fast 1 is versatile across the full stack and is particularly strong at TypeScript, Python, Java, Rust, C++, and Go.Using Grok Code Fast 1, @DannyLimanseta built the following game in a day. https://t.co/rz2RgBno5l ...