以英语为母语的人写代码时是什么感觉？
Okay, let's dive into what it feels like to code as a native English speaker. It’s not just about translating thoughts directly into keywords; it’s a nuanced experience that’s deeply intertwined with the language itself.
First off, the sheer familiarity is a massive advantage. English is the default language of computing. When you're learning to code, or even when you're an experienced developer, a huge chunk of what you're interacting with – the keywords, the function names, the documentation, the error messages, the vast majority of online resources, Stack Overflow, tutorials – it's all in English. This means there's a constant, lowlevel cognitive load that’s absent for nonnative speakers. You don't have to translate keywords like `if`, `else`, `while`, `for`, `function`, `return`, `class`, `import`, `print` in your head. They are as natural as saying "if" or "then" in a regular conversation.
Think about building with LEGOs. If the instructions are in a language you understand perfectly, you can focus on the creative part – how to build the spaceship, not on deciphering what "connect the red brick to the blue brick" actually means. For a native English speaker, the core syntax of most programming languages feels like those familiar LEGO instructions.
This familiarity extends to the conceptual level. Many programming paradigms and patterns have names that are rooted in English vocabulary and often draw analogies from everyday life. Concepts like "inheritance" in objectoriented programming, "recursion" (though the term itself isn't everyday, the idea of something referring back to itself in a clear way is), "threads" (like threads in a conversation or fabric), "queues" (like waiting in line), "stacks" (like stacking dishes). These metaphors make it easier to grasp abstract ideas because the linguistic bridge is already there.
Debugging is a prime example where native fluency really shines. When you hit an error, the message often uses idiomatic English. "Unexpected token," "undefined variable," "null pointer exception," "index out of bounds." A native speaker intuitively understands the subtle nuances. "Unexpected token" feels different from "invalid token." "Null pointer" immediately conjures an image of an empty reference. These aren't just strings of characters; they're descriptive phrases that, with a bit of practice, become clear indicators of the problem's nature. Nonnative speakers might have to pause and truly dissect the meaning of each word in the error message, which can slow down the debugging process considerably.
Then there's the style of writing code. Just like in written English, there’s good and bad code. Good code is often described as "readable," "clean," "elegant." These are aesthetic and stylistic judgments that are inherently tied to language. Naming variables and functions is a huge part of this. As a native speaker, you have a richer vocabulary to choose from. You can opt for descriptive names that are concise and unambiguous. For instance, instead of `data_proc_flg`, you might choose `is_processing_complete` or `process_data_successfully`. The ability to express these concepts clearly and concisely in English directly impacts the maintainability and understandability of the code.
Think about commenting code. Good comments explain why something is done, not just what it does (the code itself should explain the what). This "why" often involves explaining business logic, tricky edge cases, or design decisions. Being able to articulate these justifications fluently in English is crucial. You can craft explanations that are persuasive, clear, and easy to follow for other developers who might not have the same context you do.
The community aspect is massive too. The vast majority of discussions, forums, blogs, and opensource projects are in English. Being a native speaker means you can participate fully and effortlessly in these conversations. You can ask nuanced questions, understand complex answers, and contribute your own insights without the barrier of language. This speed of learning and knowledge acquisition is a significant advantage.
It’s also about the implicit understanding. There are certain unspoken conventions in programming, many of which are expressed through English terminology. For example, the concept of "DRY" (Don't Repeat Yourself). This is a simple English phrase that encapsulates a fundamental programming principle. Similarly, "KISS" (Keep It Simple, Stupid) is another. These acronyms are so deeply embedded that they’re used as verbs or adjectives in coding discussions: "This part is a bit too coupled, we should DRY it out."
However, it’s important to avoid romanticizing it too much. The core logic of programming is universal. An algorithm is an algorithm, regardless of the language it's written in. The problemsolving skills, the logical thinking, the ability to break down complex issues – these are the true bedrock of being a good programmer, and they are not inherently tied to linguistic ability. Many highly skilled developers around the world are not native English speakers. They’ve mastered the language for coding, and they excel.
But for those who are native speakers, it’s a subtle but significant advantage. It’s like being able to navigate a city without needing a map for every street. The landmarks are familiar, the signage makes sense, and you can focus on your destination and the journey itself, rather than constantly trying to translate the directions. It allows for a more fluid, intuitive, and often more creative engagement with the craft of software development. It’s the difference between understanding the instructions perfectly and having to translate them first – the former allows you to truly play with the tools.
First off, the sheer familiarity is a massive advantage. English is the default language of computing. When you're learning to code, or even when you're an experienced developer, a huge chunk of what you're interacting with – the keywords, the function names, the documentation, the error messages, the vast majority of online resources, Stack Overflow, tutorials – it's all in English. This means there's a constant, lowlevel cognitive load that’s absent for nonnative speakers. You don't have to translate keywords like `if`, `else`, `while`, `for`, `function`, `return`, `class`, `import`, `print` in your head. They are as natural as saying "if" or "then" in a regular conversation.
Think about building with LEGOs. If the instructions are in a language you understand perfectly, you can focus on the creative part – how to build the spaceship, not on deciphering what "connect the red brick to the blue brick" actually means. For a native English speaker, the core syntax of most programming languages feels like those familiar LEGO instructions.
This familiarity extends to the conceptual level. Many programming paradigms and patterns have names that are rooted in English vocabulary and often draw analogies from everyday life. Concepts like "inheritance" in objectoriented programming, "recursion" (though the term itself isn't everyday, the idea of something referring back to itself in a clear way is), "threads" (like threads in a conversation or fabric), "queues" (like waiting in line), "stacks" (like stacking dishes). These metaphors make it easier to grasp abstract ideas because the linguistic bridge is already there.
Debugging is a prime example where native fluency really shines. When you hit an error, the message often uses idiomatic English. "Unexpected token," "undefined variable," "null pointer exception," "index out of bounds." A native speaker intuitively understands the subtle nuances. "Unexpected token" feels different from "invalid token." "Null pointer" immediately conjures an image of an empty reference. These aren't just strings of characters; they're descriptive phrases that, with a bit of practice, become clear indicators of the problem's nature. Nonnative speakers might have to pause and truly dissect the meaning of each word in the error message, which can slow down the debugging process considerably.
Then there's the style of writing code. Just like in written English, there’s good and bad code. Good code is often described as "readable," "clean," "elegant." These are aesthetic and stylistic judgments that are inherently tied to language. Naming variables and functions is a huge part of this. As a native speaker, you have a richer vocabulary to choose from. You can opt for descriptive names that are concise and unambiguous. For instance, instead of `data_proc_flg`, you might choose `is_processing_complete` or `process_data_successfully`. The ability to express these concepts clearly and concisely in English directly impacts the maintainability and understandability of the code.
Think about commenting code. Good comments explain why something is done, not just what it does (the code itself should explain the what). This "why" often involves explaining business logic, tricky edge cases, or design decisions. Being able to articulate these justifications fluently in English is crucial. You can craft explanations that are persuasive, clear, and easy to follow for other developers who might not have the same context you do.
The community aspect is massive too. The vast majority of discussions, forums, blogs, and opensource projects are in English. Being a native speaker means you can participate fully and effortlessly in these conversations. You can ask nuanced questions, understand complex answers, and contribute your own insights without the barrier of language. This speed of learning and knowledge acquisition is a significant advantage.
It’s also about the implicit understanding. There are certain unspoken conventions in programming, many of which are expressed through English terminology. For example, the concept of "DRY" (Don't Repeat Yourself). This is a simple English phrase that encapsulates a fundamental programming principle. Similarly, "KISS" (Keep It Simple, Stupid) is another. These acronyms are so deeply embedded that they’re used as verbs or adjectives in coding discussions: "This part is a bit too coupled, we should DRY it out."
However, it’s important to avoid romanticizing it too much. The core logic of programming is universal. An algorithm is an algorithm, regardless of the language it's written in. The problemsolving skills, the logical thinking, the ability to break down complex issues – these are the true bedrock of being a good programmer, and they are not inherently tied to linguistic ability. Many highly skilled developers around the world are not native English speakers. They’ve mastered the language for coding, and they excel.
But for those who are native speakers, it’s a subtle but significant advantage. It’s like being able to navigate a city without needing a map for every street. The landmarks are familiar, the signage makes sense, and you can focus on your destination and the journey itself, rather than constantly trying to translate the directions. It allows for a more fluid, intuitive, and often more creative engagement with the craft of software development. It’s the difference between understanding the instructions perfectly and having to translate them first – the former allows you to truly play with the tools.
网友意见
大概是这种感觉：
#包含 <标车丿车山.豆> 整 主(空) { 印木("你好，世界扌"); 返回 0; }
或者这种感觉：
定 阶乘(甲): 纟 = 1 当 乙 在 范围(1,甲+1): 纟*= 乙 返回 纟
也可以是这种感觉：
<?一丨丿 函数 日一八纟米($甲, $乙) { 搞 { $丿 = $甲 % $乙; $甲 = $乙; $乙 = $丿; } 当 ($丿 != 0); 返回 $甲; } ?>
解释一下为什么不用正常的中文简称，而要硬是奇葩地把汉字拆了。
英文缩写有两种：一种是音节提取，一种是首字母缩写。
一、音节提取
这种情况是保留少量语素的，可以猜出原词。
例如：
administrator → admin
laboratory → lab
advertisement → ad
dormitory → dorm
condominium → condo
rhinoceros → rhino
situation comedy → sitcom
emotional icon → emoticon
中文类似的简称：
世界卫生组织 → 世卫
奥林匹克运动会 → 奥运会
美国联合通讯社 → 美联社
法国新闻社 → 法新社
美国联邦储备银行 → 美联储
人民代表大会 → 人大
高等学校 → 高校
二、首字母缩写
这种情况不保留任何语素。没如果没见过原文，谁也猜不出原义，纯粹成了毫无意义的字母组合。
例如：
World Health Organization → WHO
United States of America → USA
International Space Station → ISS
greatest common divisor → gcd
deoxyribonucleic acid → DNA
ribonucleic acid → RNA
input/output = I/O
Basic Input Output System → BIOS
中文完全没有类似的做法，所以为了营造这种感觉，我只好强行把汉字拆了。这么做彻底铲除了一切语素，让它看上去是一堆完全无意义的字根。
注意原题是「以英语为母语的人写代码时是什么感觉」而不是「中文编程是什么感觉」，所以要尽力营造英文感觉，包括那些很奇葩的感觉，而不是正常中文会怎么做。
题外话：如果想问「中文编程是什么感觉」，已经有现成的易语言在那里了。
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