


What is the half-life of a programmer’s knowledge? Usually people often say 5 years. In other words, half of what you know about programming will be obsolete in 5 years. A similar sentiment is, "Programming sucks because nothing you knew a few years ago is useful now."
At first glance, this seems reasonable. After all, there are always new programming languages and technologies popping up. However, I think the above view is incorrect. Programming knowledge has a longer useful life than some people realize.
Syntax is not difficult
Start learning a new programming language. For non-programmers, learning Python when you know Java is like learning French when you know English. Of course, programming learning is not exactly like this. There will be new syntax to learn, but this is just a little difficult on the surface. The core concepts of all programming languages are the same.
Writing a program in any language, you will use basic knowledge like types, data structures and logic. If you already know Boolean functions, integers, floating point numbers, and strings, these types will be used similarly in the new language. Of course, data structures like lists, sets, dictionaries, and directory trees are the same, and the logic you use will also be arithmetic operations, if statements, loops, function calls, etc.
In addition, key skills such as which algorithm to use, how to decompose the problem, and the naming of variables and functions can be directly applied in the new language. These are common programming knowledge in various programming languages. To borrow a term from "No Silver Bullet": "The syntax of a language is incidental knowledge, but how to program is crucial knowledge."
The same goes for libraries and tools. Even if you have no idea how regular expressions are used in the new language, you know what they most likely support. It's not hard to find the knowledge about how to use them, it's the use of them that's hard, and that's the valuable knowledge. The same is true for tools like IDEs. You may not know the details, but you know what they can do.
So learning a new language is not a big deal, but if you change jobs, you may still have a lot to learn. I divide knowledge into the following 3 dimensions:
Three dimensions of knowledge
Programming: Knowledge at this level is programming languages, paradigms, technologies and tools. Like I said above, even though details like syntax may be completely different, a lot of the core concepts are the same across programming languages.
Domain: This is what you know about the environment used in programming. For example, if you work in telecommunications, it's about how various protocols work, how text messages are processed, how billing and monitoring are done, and so on. The longer you work in a department, the more you know about it and the greater your contribution is likely to be.
Code base: This depends on the company. When you've been at a company for a long time, you understand your programming style: you understand what gets done, what parts are tricky and unintuitive, why something is done in a certain way, The whole process of doing it in different ways and so on.
Live and learn
As a programmer, you are most valuable when your knowledge in the above three dimensions is sound. If you change jobs at this time, it is inevitable that you will know nothing about the new code base at the beginning, and you will have to start working and learning seriously.
However, even after you change jobs, the programming and domain knowledge you learned will still be useful. Knowing several programming languages will give you more reference points and let you understand how things are done in different ways (even if the basic principles are the same). Generally speaking, it is also good to read more good books on software development.
Finally, I think part of what makes software development fun and exciting is that there's always something new to learn. You'll never get bored, so keep learning. Most of what you learn will just make you a better programmer, even though new programming languages are being invented every year.
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What’s still popular is the ease of use, flexibility and a strong ecosystem. 1) Ease of use and simple syntax make it the first choice for beginners. 2) Closely integrated with web development, excellent interaction with HTTP requests and database. 3) The huge ecosystem provides a wealth of tools and libraries. 4) Active community and open source nature adapts them to new needs and technology trends.

PHP and Python are both high-level programming languages that are widely used in web development, data processing and automation tasks. 1.PHP is often used to build dynamic websites and content management systems, while Python is often used to build web frameworks and data science. 2.PHP uses echo to output content, Python uses print. 3. Both support object-oriented programming, but the syntax and keywords are different. 4. PHP supports weak type conversion, while Python is more stringent. 5. PHP performance optimization includes using OPcache and asynchronous programming, while Python uses cProfile and asynchronous programming.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.


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