⚡ INSIGHT: ChatGPT helps traders find hidden crypto gems through sentiment and data analysis. https://t.co/LzkKI0pwMd ...

RT Avi Chawla (@_avichawla)I never use Pandas' describe method.Skimpy is a much better (and open-source) alternative that provides a comprehensive data summary, including data shape, column data types, stats, distribution chart, etc. https://t.co/i19N6BdUgs ...

Data Analysis Tools - The industry suggests using Skimpy as a superior open-source alternative to Pandas' describe method for comprehensive data summarization [1] - Skimpy offers detailed data insights, including data shape, column data types, statistics, and distribution charts [1]

Payrolls at US companies unexpectedly dropped in September, due at least in part to issues with data analysis. https://t.co/J4SZJbXOjy ...

In years gone by, the wait for the announcement of winners of the Nobel prizes was a period of fun but largely uninformed speculation. In an era of data analysis, that has changed https://t.co/psbD3O1uG3 ...

Methodology - The Economist has calculated a value called Time to Nobel, the period between being a citation laureate and winning the prize, using data from a firm of analysts [1]

Everyone knows that winning the Ryder Cup takes guts and nerves. These days, it also takes data. https://t.co/jf3TEimrms ...

The Federal Reserve has finally admitted tariffs are not inflationary.The data is overwhelming. https://t.co/V5ZQV9wtKb ...

Core Insights - A new federal policy imposing a $100,000 H1B visa application fee is projected to create over 583,000 new tech jobs for U.S. workers by 2029, making high-paying tech careers more accessible to American STEM students [1][2] - The policy is expected to redirect nearly $98 billion in annual tech salaries to American workers, significantly raising the cost of foreign tech hiring [2] Impact on Major Tech Companies - Major tech companies will face substantial costs to retain H1B talent, with estimated fees of $1.1 billion for Amazon, $550 million for Tata Consultancy Services, $500 million for Microsoft, $450 million for Meta, and $400 million for Google [4] - Companies must choose between absorbing these fees or accelerating the hiring of American workers [4] Regional Job Growth - Job growth will vary by region, with California expected to see 175,000 new H1B positions, followed by New York with approximately 170,000, Texas with 46,000, and Washington State with an estimated 35,000 positions [5] In-Demand Skills and Salaries - The most sought-after skills include Cloud Computing (80,000 positions, average salary $145,000), AI/Machine Learning (70,000 positions, average salary $165,000), Python Programming (65,000 positions, average salary $125,000), Cybersecurity (55,000 positions, average salary $135,000), and Data Analysis (60,000 positions, average salary $115,000) [6] Education and Workforce Readiness - Only 20% of Americans are prepared to fill the new high-paying tech roles, indicating a significant preparation gap [7][11] - The U.S. ranks 34th out of 80 countries in mathematics proficiency, with only 6.4% of students enrolling in foundational computer science classes [11] Pathway to Employment - A three-step approach for American students to secure tech roles includes learning, certification, and acceleration through tutoring [8][12]

AI发展趋势 - AI已成为当今的技术，将影响全球各个行业 [1] - 过去15年，数据量增长了90倍，目前已达到181泽字节（zettabytes），相当于1810亿TB [1] - AI经历了从感知AI（语音识别、医学影像）到生成AI（内容生成、数字营销）再到代理AI（工作流程自动化）和物理AI（自动驾驶汽车、自主机器人）的演变 [1] - 预计到2035年，世界将由超过1000亿个AI代理运行，这些代理将自主执行任务 [6] AI应用领域 - AI正在渗透到人类生活的各个方面，包括医疗保健（专家级诊断）、金融（个人财务助理、AI主导的交易助理、风险评估）、客户服务（AI聊天机器人）、制造业（智能办公室自动化、预测性维护）等 [12][14][15] - 企业正在寻求AI代理来实现端到端的代理工作流程自动化，特别是在国际贸易、文档和金融领域 [10] - 物联网（IoT）和嵌入式AI能力正在被用于设备和机械的智能监控，例如检测机器何时以最佳容量运行 [11][12] AI技术与竞争 - DeepSeek以低于OpenAI的成本构建了一个基础模型，对美国股市造成了1万亿美元的损失 [1] - 众多基础模型涌现，包括Facebook的Llama、GPT、DeepSeek、阿里巴巴的Squen和Anthropic的Claude [1] - 中国和美国在AI基础模型的构建和发展方面几乎并驾齐驱 [1] AI时代所需技能 - 技术素养至关重要，需要掌握AI技术、提示工程以及各种工具和技术 [23][24] - 需要具备情商、战略思维和持续学习能力 [25] - AI产品管理、数据分析和AI顾问等新角色正在涌现 [27] AI伦理与挑战 - 人们对人工智能通用智能（AGI）的到来时间存在争议，AGI指的是机器智能超越人类智能 [31] - 确保AI系统公平、公正地对待所有人至关重要 [32] - 数据隐私、知识产权（IPR）以及AI对就业市场的影响是需要考虑的重要伦理问题 [32][33][34]