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First Time in Tokyo: A Journey 26 Years in the Making

文章讲述了作者在东京的首次旅行,经历了26年的期待,分享了对这座城市的独特魅力和深刻印象。

First Time in Tokyo: A Journey 26 Years in the Making

静かな森
静かな森 · 2026-06-13T15:33:26Z

Time::Str 是一个用于解析和格式化日期时间字符串的模块,支持20多种标准格式,并新增了时区和闰秒处理功能。Time::Str::TimeZone 模块解析时区名称并缓存对象,Time::TZif 和 Time::TZif::POSIX 模块计算特定时刻的 UTC 偏移,确保时间格式的准确性。

Time::Str - 时区与闰秒

blogs.perl.org
blogs.perl.org · 2026-06-10T13:10:21Z

Netflix has shared details about Service Topology. This internal system creates and updates a live dependency graph for thousands of microservices. It helps engineers see how services connect and...

How Netflix Maps Thousands of Microservices in Real-Time

InfoQ
InfoQ · 2026-06-05T12:00:00Z

在Python中,time.sleep()在普通脚本中使用方便,但在多线程、异步编程和GUI中会导致阻塞。多线程应使用Event.wait(),异步代码应使用asyncio.sleep(),而GUI应使用.after()方法,以避免界面冻结。选择合适的延迟方法可以提高程序的响应性和效率。

读:Python 延迟——time.sleep() 不是万能的

暗无天日
暗无天日 · 2026-06-05T00:00:00Z

By Rajiv Shringi, Kaidan Fullerton, Oleksii Tkachuk and Kartik SathyanarayananIntroductionNetflix’s TimeSeries Abstraction is a scalable system for ingesting and querying petabytes of temporal...

Dynamic Repartitioning for Time Series Workloads

Netflix TechBlog
Netflix TechBlog · 2026-06-03T02:05:05Z

By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez & Nathan FisherHow we built a living map of our distributed infrastructure to help engineers understand dependencies, troubleshoot faster,...

From Silos to Service Topology: Why Netflix Built a Real-Time Service Map

Netflix TechBlog
Netflix TechBlog · 2026-05-29T14:01:02Z

Uber updates its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model. The system evolves from hand-crafted features to...

Uber Improves Restaurant Recommendations Using Real-Time Signals and Listwise Ranking

InfoQ
InfoQ · 2026-05-22T14:32:00Z

Bintrail is a recently introduced layer that brings point-in-time queries and row-history lookups to MySQL, the only major relational database lacking native temporal querying. Using indexed...

Bintrail: MySQL Time-Travel Queries Using Indexed Binlogs

InfoQ
InfoQ · 2026-05-21T17:03:00Z

Swiggy detailed real-time machine-learning ranking system for autocomplete built on OpenSearch. The architecture separates candidate generation and ranking, uses feature stores for real time...

Swiggy Improves Search Autocomplete Using Real Time Machine Learning Ranking

InfoQ
InfoQ · 2026-05-18T14:38:00Z

Time::Str是一个Perl模块,用于解析和格式化20多种日期/时间字符串,支持多种标准格式,具有纳秒精度,避免模糊解析。该模块提供灵活的日期解析,确保输入格式明确,并支持自定义解析器,适用于多种应用场景。

介绍 Time::Str

blogs.perl.org
blogs.perl.org · 2026-05-12T22:28:22Z

Every time-series database makes a set of storage design decisions: how to lay out rows, when to compress, what to partition on. These decisions determine cost and query performance more than the...

Article: Time-Series Storage: Design Choices That Shape Cost and Performance

InfoQ
InfoQ · 2026-05-12T09:00:00Z

本文讨论了量化特征仓库的构建,强调时间正确性(PIT)和版本管理的重要性。特征存储需解决复用、版本化和训练-服务一致性的问题,避免数据修订导致的回测失效。采用双时间维度模型,确保在任意历史时刻能准确还原特征值。文章还介绍了特征存储的技术选型及工程实现,强调监控和回填机制的重要性,以确保数据的可靠性和一致性。

【量化交易】特征存储与时间对齐:point-in-time 正确性

土法炼钢兴趣小组的博客
土法炼钢兴趣小组的博客 · 2026-05-01T00:00:00Z

For thirty years, the answer to “how do I get the DDL for this object?” in PostgreSQL has been: shell out to pg_dump -s and grep. Every tool that has ever needed to reconstruct an object...

Christophe Pettus: Retail DDL Arrives, One Function at a Time

Planet PostgreSQL
Planet PostgreSQL · 2026-04-27T13:00:00Z
TimescaleDB 2.26:3.5倍更快的 time_bucket() 聚合,70倍更快的摘要查询,以及更快的多列查找

TimescaleDB 2.26通过扩展向量化列存引擎提升了查询性能,支持更高效的时间序列分析,允许直接从元数据读取结果,显著加快聚合查询和多列查找的速度。某些查询速度提升可达70倍,整体性能提升超过2倍,用户无需更改查询即可享受这些改进。

TimescaleDB 2.26:3.5倍更快的 time_bucket() 聚合,70倍更快的摘要查询,以及更快的多列查找

Timescale Blog
Timescale Blog · 2026-04-22T13:00:14Z

Meta introduces Just-in-Time (JiT) testing, a dynamic approach that generates tests during code review instead of relying on static test suites. The system improves bug detection by ~4x in...

Meta Reports 4x Higher Bug Detection with Just-in-Time Testing

InfoQ
InfoQ · 2026-04-17T14:49:00Z

文章内容无法提取,因其仅包含无关的网页信息。请提供有效的文章文本以便进行总结。

KTV Collaboration with Kaguya-hime from the Space-Time Continuum

维基萌
维基萌 · 2026-04-12T23:13:28Z

Microsoft recently announced it’s pulling back Copilot from several of its core Windows apps — Photos, Notepad, the Snipping Tool, and Widgets. Rolling back these forced AI integrations is the...

Old habits die hard: Microsoft tries to limit our options, this time with AI

The Mozilla Blog
The Mozilla Blog · 2026-04-09T17:03:46Z

In this article, author Avraam Tolmidis discusses technical architecture of autonomous vehicles, with focus on optimization techniques like context-aware sensor fusion and Model Predictive Control...

Article: Optimization in Automated Driving: from Complexity to Real-Time Engineering

InfoQ
InfoQ · 2026-03-30T11:00:00Z

At QCon London 2026, Spotify's Jo Kelly-Fenton and Aleksandar Mitic discussed Honk, an AI-powered coding agent that enables code migrations across Spotify's codebase. The system improves...

QCon London 2026: Rewriting All of Spotify's Code Base, All the Time

InfoQ
InfoQ · 2026-03-18T15:02:00Z

Artificial intelligence is currently occupying the same mental space that "the cloud" did fifteen years ago, or the internet itself did twenty-five years ago.

The SMB Owner’s Guide to AI ROI: Measuring Time Saved, Revenue Gained, and Risk Added (Sponsored)

KDnuggets
KDnuggets · 2026-03-03T02:14:58Z
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