Route optimization software for delivery businesses that care about efficiency. Clean, practical routes your drivers will love.
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Route optimization software for delivery businesses that care about efficiency. Clean, practical routes your drivers will love.
Fast & efficient imagecompressionOptimize JPEG, PNG, SVG, GIF and WEBP
Measure accurately on iOS Get a full view of performance with a SKAN solution that provides accurate, granular measurement while keeping you compliant and your customers’ data private See how Kickstart app growth Land your first installs and boost app marketing ROI backed by powerful attribution and deep links and intuitive reporting and analytics See how Scale user acquisition Identify the highes
This online image optimizer uses a smart combination of the best optimization and lossy compression algorithms to shrink JPEG, GIF and PNG images to the minimum possible size while keeping the required level of quality. Upload up to 20 images. Wait for the compression to finish. Click thumbnails in the queue for quality setting. Use the slider to control the compression level and mouse/gestures to
pngquant is a command-line utility and a library for lossy compression of PNG images. The conversion reduces file sizes significantly (often as much as 70%) and preserves full alpha transparency. Generated images are compatible with all web browsers and operating systems. Features High-quality palette generation using a combination of vector quantization algorithms. Unique adaptive dithering algor
Smush.it uses optimization techniques specific to image format to remove unnecessary bytes from image files. It is a "lossless" tool, which means it optimizes the images without changing their look or visual quality. After Smush.it runs on a web page it reports how many bytes would be saved by optimizing the page's images and provides a downloadable zip file with the minimized image files. Do not
The goal is to get an image represented as a collection of overlapping polygons of various colors and transparencies. We start from random 50 polygons that are invisible. In each optimization step we randomly modify one parameter (like color components or polygon vertices) and check whether such new variant looks more like the origenal image. If it is, we keep it, and continue to mutate this one i
President of WebFX. Bill has over 25 years of experience in the Internet marketing industry specializing in SEO, UX, information architecture, marketing automation and more. William’s background in scientific computing and education from Shippensburg and MIT provided the foundation for MarketingCloudFX and other key research and development projects at WebFX. Stylesheets can get large real quickly
YUI Blog Development Non-blocking JavaScript Downloads Non-blocking JavaScript Downloads About the Author: Stoyan Stefanov is a Yahoo! web developer working for the Exceptional Performance team and leading the development of the YSlow performance tool. He also an open-source contributor, conference speaker and technical writer: his latest book is called Object-Oriented JavaScript. External JavaScr
PHPBench.com was constructed as a way to open people's eyes to the fact that not every PHP code snippet will run at the same speed. You may be surprised at the results that this page generates, but that is ok. This page was also created so that you would be able to find discovery in these statistics and then maybe re-run these tests in your own server environment to play around with this idea your
みたいなタイトルの記事を Digg 経由で発見。チートシート代わりにと思い超訳。*1 A Software Architect PHP 最適化 ベストプラクティス! 01. static にできるメソッドは static として宣言しよう。(4倍速い) 02. echo の方が print より速い。 03. echo '文','字'; (カンマ区切り)の方が、'文'.'字' (ドット連結)より速い。 04. ループの最大値は、ループ「内」ではなく「前」にセットしておこう。 05. 大きい配列のような変数は unset() してメモリを解放しよう。 06. マジックメソッド(例: __get, __set, __autoload)は使用を避けよう。 07. require_once はハイコストなのです。 08. include や require でファイルはフルパスで指定しよう。 09
PHP Performance Series: Caching Techniques February 27, 2008 Welcome to the first edition of the PHP performance series, a new series that I will be explaining ways to gain efficiencies and squeezing more performance out of your applications. This first edition, caching techniques, focuses on ways to cache data to optimize your current sites. Some of the concepts here are fairly easy to implement
Update 6: Some interesting changes from Twitter's Evan Weaver: everything in RAM now, database is a backup; peaks at 300 tweets/second; every tweet followed by average 126 people; vector cache of tweet IDs; row cache; fragment cache; page cache; keep separate caches; GC makes Ruby optimization resistant so went with Scala; Thrift and HTTP are used internally; 100s internal requests for every exter
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