PHP1
PHP originally appeared as a fast, practical toolkit. In 1994, in order to add a small and practical visitor tracking system to his website, Rasmus Lerdorf wrote a prototype of PHP. This is a simple tool wrapped in Perl. Because the usage effect was not ideal, Rasmus rewrote the tool in C language.
Later, more people noticed this lightweight and simple program and asked for more features. Rasmus decided to release a complete version, naming it Personal Home Page Tools. Later, Rasmus released a tool called FI that can perform SQL queries.
PHP2
In 1996, Rasmus released PHP/FI2.0, which is a basically complete PHP package. Not only can it access databases, but it can also be embedded in HTML pages. At this time, PHP/FI2.0 attracted a large number of program developers. Among the many programmers were Zeev Suraski and Andi Gutmans, who were later the founders of PHP3. Not satisfied with PHP/FI's performance in large projects, Zeev and Andi made significant improvements.
PHP3
At the end of 1998, the first official version of PHP3 was released, which featured better execution and a clearer structure. In addition, the powerful function of PHP3 lies in its scalability. In addition to providing end users with the infrastructure of databases, protocols, and APIs, its extensibility has attracted a large number of developers to join and submit new modules.
This brand new language is released with a new name. This name has a broader meaning than just the concept of "personal homepage tool". It is named with the simple abbreviation "PHP". This is a recursive abbreviation, and its full name is - PHP: Hypertext Preprocessor.
Soon, Zeev Suraski and Andi Gutmans invested in the development of new PHP. The design goal is to enhance program running performance and the modularity of PHP's own code.
PHP4
The new PHP core was called the "Zend" (named after Zeev and Andi) engine, which was released in May 2000 with the new version of PHP4.0. The performance of PHP4 has been significantly improved compared to PHP3. When the same script is run in PHP4, the performance can be improved by nearly 10 times. And the script optimizer provided by Zend can convert the source program into binary compiled code, which not only improves performance, but also protects the program source code from being exposed.
Added support for various web servers (such as Apache, IIS/PWS, OmniHTTPd, etc.) in PHP4. In addition, PHP4 also adds some new language features, such as rich array operation functions, complete session mechanism, support for output caching, etc. PHP4 also provides extended support for some cross-platform technologies, such as support for Adobe PDF, SWF, Java, Microsoft.NET and other technologies.
PHP4 also adds support for class objects. Although PHP4 is not perfect in this regard, it still greatly improves its support for object-oriented programming. The Pear library (PHP Extension and Application Repository) in PHP4 is the best example of object-oriented application and practice.
PHP5
Although PHP4 is developing so rapidly, it still lacks some key features compared to other popular development languages. For example, the object-oriented functions in PHP4 are not perfect and exceptions cannot be implemented ( Exception) capture and processing. Therefore, we are still stretched in dealing with some special issues.
In July 2004, the release of the official version of PHP5 marked the arrival of a new PHP era. At its core is the second-generation Zend engine, which introduces support for the new PECL module. The biggest feature of PHP5 is that it introduces all object-oriented mechanisms and retains downward compatibility. Programmers no longer have to write classes that lack functionality and can implement class protection in a variety of ways. In addition, there are no longer problems with the integration of objects. Using PHP5 introduces type hints and exception handling mechanisms, which can handle and avoid errors more effectively.

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User voice input is captured and sent to the PHP backend through the MediaRecorder API of the front-end JavaScript; 2. PHP saves the audio as a temporary file and calls STTAPI (such as Google or Baidu voice recognition) to convert it into text; 3. PHP sends the text to an AI service (such as OpenAIGPT) to obtain intelligent reply; 4. PHP then calls TTSAPI (such as Baidu or Google voice synthesis) to convert the reply to a voice file; 5. PHP streams the voice file back to the front-end to play, completing interaction. The entire process is dominated by PHP to ensure seamless connection between all links.

The core method of building social sharing functions in PHP is to dynamically generate sharing links that meet the requirements of each platform. 1. First get the current page or specified URL and article information; 2. Use urlencode to encode the parameters; 3. Splice and generate sharing links according to the protocols of each platform; 4. Display links on the front end for users to click and share; 5. Dynamically generate OG tags on the page to optimize sharing content display; 6. Be sure to escape user input to prevent XSS attacks. This method does not require complex authentication, has low maintenance costs, and is suitable for most content sharing needs.

To realize text error correction and syntax optimization with AI, you need to follow the following steps: 1. Select a suitable AI model or API, such as Baidu, Tencent API or open source NLP library; 2. Call the API through PHP's curl or Guzzle and process the return results; 3. Display error correction information in the application and allow users to choose whether to adopt it; 4. Use php-l and PHP_CodeSniffer for syntax detection and code optimization; 5. Continuously collect feedback and update the model or rules to improve the effect. When choosing AIAPI, focus on evaluating accuracy, response speed, price and support for PHP. Code optimization should follow PSR specifications, use cache reasonably, avoid circular queries, review code regularly, and use X

1. Maximizing the commercial value of the comment system requires combining native advertising precise delivery, user paid value-added services (such as uploading pictures, top-up comments), influence incentive mechanism based on comment quality, and compliance anonymous data insight monetization; 2. The audit strategy should adopt a combination of pre-audit dynamic keyword filtering and user reporting mechanisms, supplemented by comment quality rating to achieve content hierarchical exposure; 3. Anti-brushing requires the construction of multi-layer defense: reCAPTCHAv3 sensorless verification, Honeypot honeypot field recognition robot, IP and timestamp frequency limit prevents watering, and content pattern recognition marks suspicious comments, and continuously iterate to deal with attacks.

PHP does not directly perform AI image processing, but integrates through APIs, because it is good at web development rather than computing-intensive tasks. API integration can achieve professional division of labor, reduce costs, and improve efficiency; 2. Integrating key technologies include using Guzzle or cURL to send HTTP requests, JSON data encoding and decoding, API key security authentication, asynchronous queue processing time-consuming tasks, robust error handling and retry mechanism, image storage and display; 3. Common challenges include API cost out of control, uncontrollable generation results, poor user experience, security risks and difficult data management. The response strategies are setting user quotas and caches, providing propt guidance and multi-picture selection, asynchronous notifications and progress prompts, key environment variable storage and content audit, and cloud storage.

PHP ensures inventory deduction atomicity through database transactions and FORUPDATE row locks to prevent high concurrent overselling; 2. Multi-platform inventory consistency depends on centralized management and event-driven synchronization, combining API/Webhook notifications and message queues to ensure reliable data transmission; 3. The alarm mechanism should set low inventory, zero/negative inventory, unsalable sales, replenishment cycles and abnormal fluctuations strategies in different scenarios, and select DingTalk, SMS or Email Responsible Persons according to the urgency, and the alarm information must be complete and clear to achieve business adaptation and rapid response.

PHPisstillrelevantinmodernenterpriseenvironments.1.ModernPHP(7.xand8.x)offersperformancegains,stricttyping,JITcompilation,andmodernsyntax,makingitsuitableforlarge-scaleapplications.2.PHPintegrateseffectivelyinhybridarchitectures,servingasanAPIgateway

Select the appropriate AI voice recognition service and integrate PHPSDK; 2. Use PHP to call ffmpeg to convert recordings into API-required formats (such as wav); 3. Upload files to cloud storage and call API asynchronous recognition; 4. Analyze JSON results and organize text using NLP technology; 5. Generate Word or Markdown documents to complete the automation of meeting records. The entire process needs to ensure data encryption, access control and compliance to ensure privacy and security.
