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ソースチャンネル @NewLearnerChannel · Post #14708 · 9月9日

#APPLE 🍎Apple 2025 秋季发布会看些啥?—— 自留地 の 前瞻盘点 明天凌晨,一年一度的阿果秋季春晚又要来了。老规矩,结合此前种种爆料和信息,我们一起来盘点一下今年可能的看点 📱iPhone 17 系列 - A19 系列处理器 - 推出全新 Air 系列,主打 5.5mm 超薄机身,配备「药丸」后摄模组,预计搭载 12GB RAM、Apple C1 调制解调器和 6.6 英寸显示屏 - Air 首发或暂无国行,因其大概率仅支持 eSIM,需等 eSIM 政策落地 - Pro 系列将采用半玻璃半铝的设计,其中玻璃区域用于 MagSafe 充电,后背还将采用巨大摄影头模组 - Pro 系列有望搭载 A19 Pro 处理器,以及全 48MP 后置三摄 / 最高 8 倍光学变焦 - Pro 机型将提供橙色、深蓝色、灰色、白色和黑色机型 - 数字版将迎来 6.3 英寸显示屏、A19 处理器以及「小药丸」后摄模组,有望带来 ProMotion 功能 - 将采用均热板等手段,进一步改善 iPhone 散热问题 📸 今年升级的亮点,我觉得除了推出轻薄 SKU 取代了 Plus 系列之外,依然是影像。随着国产 Android 品牌以及三星等竞品的不断发力,光学长焦等手机相机体验越来越好,Apple 这几年感受到了压力。去年使得 Pro 和 Pro Max 在影像功能上做到了对等,今年很高兴看到模组增大的同时,有新的功能和变化 像素提升、光学倍数增加,都是我们喜闻乐见的,拍演唱会等场景可以排上大用场。但是,正如我去年说的那样,我们也应该拥有一个「专业模式」来充分发挥这些硬件的实力。此外,对于日常用的中焦焦段的选择,Apple 应该有自己的思考 🧠 去年以为 Apple Intelligence 会在过去的这一年大展拳脚,但其实 Apple 还是在做底层的框架协议,至于落地一直传闻想要通过合作或者收购其他 LLM 来实现。我能理解 Apple 站到了一个十字路口,下一步选择很重要。但去全球化日益明显的今天,Apple Intelligence 在各国的落地也受到诸多法律和监管方面阻碍 从我个人的角度来看,对 Apple Intelligence 的需求也不是太强烈,日常主要还是以电脑使用为主。因此,今年也不排除会继续选择国行。最后,eSIM 或许是接下来一年每个人都要考虑的问题,如果新机真的大规模砍掉双 nano-SIM 卡,变为单卡 + eSIM 的模式,应该怎么处理自己目前的多卡问题 ⌚️Apple Watch 系列 - Apple Watch Ultra 3 将搭载全新 S11 芯片,并支持 5G 网络连接,保留卫星通信功能,略微增大屏幕尺寸 - Apple Watch Series 11 预计延续 Series 10 的设计语言 - Apple Watch SE 3 也可能获得升级,重点是升级芯片 - 目前尚不清楚是否会引入血压监测功能 🎧AirPods - AirPods Pro 3 有望在下半年发布 - 有望取消背部的传统实体配对按键,同时为充电盒正面引入触控操作区 - 耳机盒将变得更小 - 引入心率监测、体温监测等健康功能 - 实时翻译功能可能无法随硬件首发一同提供 之前通过 AC+ 更换的越南产 AirPods Pro 一代,已经快要罢工了,因此我迫切地等待第三代的发布 👀 今年的传闻大致如上所述,期待 iPad 和 Mac 更新的朋友或需要等更迟一些的发布会了。随着年龄增长,逐渐发现即便如 Apple 这样的品牌,也不能做对、做好每一件事,黄金时期的发展掩盖了很多问题,一旦停滞进入瓶颈期便暴露无遗。不管怎样,我还是很怀念那个爆料没有这么发达、发布会还是实时直播的年代 🔗 附上一些国内外媒体长文前瞻:Bloomberg | 9to5Mac | MacRumors | The Verge | sspai * 以上所有前瞻信息来自网络和爆料人,均在早晚报出现过,不一一列举来源。请以最终发布会结果为准,欢迎大家届时进群 @NewlearnerGroup 和我们一同观看 🍿️ 频道:@NewlearnerChannel

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Repositorio data science

@repo_science · Post #3374 · 2023/06/30 14:57

#python#databases 🐍 Advanced Python: Working with multiple databases Description Build and connect Python Application to multiple databases 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3265 · 2023/06/04 22:32

#python#databases 🐍 Advanced Python: Practical Database Examples Level up as a Python developer working with databases in this advanced, skills-based course. 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #4219 · 2024/10/20 21:14

#free#Databases 🎟 2024 Complete SQL Bootcamp from Zero to Hero in SQL 👥Students: 43024 ⭐️Ratings: 4.12 ⏳ 4.5 total hours 🌐 en_US 🗒 Limited coupons (639) 🎫 100% OFF - 💵0💲 ----- Coupons:@freecoupons_reposcience ----- ⭐️ This message was automated by 🔗n8n

Repositorio data science

@repo_science · Post #3381 · 2023/07/03 00:51

#databases#SQL SQLBolt ¿Quieres aprender SQL de forma práctica y desde cero? SQLBolt es un recurso para devs con: ◆ Ejercicios interactivos y sencillos ◆ Ejemplos desde cero ◆ De SELECT a crear tus propias tablas ◆ 18 lecciones para aprender Es un recurso 100% gratuito. 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3322 · 2023/06/19 22:42

#databases#sql 🛠 SQL Server 2022 Administration Description Looking to get up to speed with the latest features of SQL Server 2022? In this course, join database analyst and trainer Eric Johnson as he covers the fundamental skills, techniques, and tools required to manage SQL Server 2022 in any development environment, regardless of your current level of experience. Learn about the new features available in the latest version of SQL Server as well as how to provision and secure Azure databases, design SQL Server tables, and tune and optimize SQL to meet your own unique needs. Throughout the course, Eric explains the relevant concepts and methodologies of managing and automating SQL Server databases, showing you how to apply what you’ve learned in a series of ongoing visual demonstrations designed to help you get hands-on practice and start building more advanced skills. 🔗Link ----- Main channel:@repo_science Coupons:@freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3402 · 2023/07/07 00:57

#databases#MongoDB 💼 Learning MongoDB Get started with MongoDB. Learn how to use this popular nonrelational database to power your full-stack development workflow. ⏳2h 44m 🗣Justin Jenkins 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3423 · 2023/07/11 14:22

#Python#databases#sql 🐍 Data Science Fundamentals with Python and SQL Description Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Specialization from IBM will help anyone interested in pursuing a career in data science by teaching them fundamental skills to get started in this in-demand field. 🗣Coursera 🔗Link ----- Main channel:@repo_science Coupons:@freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3158 · 2023/05/09 20:18

#databases#SQL#Python 🐍 Practical SQL with Python in 3 Days using SQLite, MySQL and PostgreSQL 🔗Link ⭐Curso recomendado ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3204 · 2023/05/19 03:28

#databases#GraphQL 💾 Building Web APIs with GraphQL - The Complete Guide Become an expert in one of the most exciting web APIs framework with this practical, hands-on course 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

GitHub Trends

@githubtrending · Post #14933 · 2025/07/09 12:30

#go#databases#genai#llms#mcp The MCP Toolbox for Databases helps developers connect AI agents to databases more easily and securely. It simplifies the process by handling complex tasks like connection pooling and authentication, allowing you to integrate databases with AI agents using minimal code. This toolbox supports the Model Context Protocol (MCP), which standardizes how AI interacts with external tools. By using MCP Toolbox, you can automate database tasks, query databases using natural language, and generate context-aware code, all of which save time and improve development efficiency. https://github.com/googleapis/genai-toolbox

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