geo - ears later
tl;dr after 4y, the projects have been substantially updated and it is now well-tested and mature.
In July 2020, I wrote on this platform about geo2tz, a rest API to retrieve the timezone from latitude and longitude coordinates.
I have sporadically updated the project from time to time, and now, four years later, something has happened that moved me to give it some love and make sure it is up to date, this led to a complete rewrite of the engine that powers it, and this post is about what are the reasons and what are the results of this rewrite.
When I published the project in 2020, I was working on another project, and I needed something like geo2tz, but I could not find anything that fit my requirements, so I decided to create it by putting together a web framework, the timezone data and a library that was providing the logic to process and query the timezones GeoJson, and that was it.
Fast forward to the beginning of 2023, I get an issue open of a person complaining about a set of coordinates missing, but it looked like it was a dataset issue, so there was nothing much to do. But at the beginning of 2024, someone pointed out that the service was not working properly for other coordinates.
Clearly, something was afoul, and since there were people who took the time to comment, I took it more seriously to check what was going on. What I found out is that the issues were coming from the library that I was using to manage the timezone data, the library stopped being updated and was actually returning incorrect results.
I took my sweet time to do it, not gonna lie, but eventually, I rewrote the GeoJSON parser, re-engineered the index and algorithm to match the timezone from coordinates, and added a lot of tests to make sure that geo2tz behaves correctly and here we have, a new shiny version (2.4.0) that is ready to put to use!
The above is the detailed content of geo - ears later. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Go language performs well in building efficient and scalable systems. Its advantages include: 1. High performance: compiled into machine code, fast running speed; 2. Concurrent programming: simplify multitasking through goroutines and channels; 3. Simplicity: concise syntax, reducing learning and maintenance costs; 4. Cross-platform: supports cross-platform compilation, easy deployment.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Goimpactsdevelopmentpositivelythroughspeed,efficiency,andsimplicity.1)Speed:Gocompilesquicklyandrunsefficiently,idealforlargeprojects.2)Efficiency:Itscomprehensivestandardlibraryreducesexternaldependencies,enhancingdevelopmentefficiency.3)Simplicity:

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

Golang is suitable for rapid development and concurrent scenarios, and C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for high-concurrency Web service development. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.
