机器语言到智能时代 | 编程语言在 OS 与 AI 中的选择与应用

OS与AI中的编程语言选择

原创于 2025-11-12 13:13:53 发布 · 580 阅读

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注：本文为 “编程语言在 OS 与 AI 中的选择与应用” 相关简述合辑。
英文引文，机翻未校。
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The Birth of Programming Languages

编程语言的诞生

PROGRAMMING LANGUAGES

The start of programming languages was a major turning point in how we use computers. Initially, computers were instructed using very basic, low-level codes that were hard to understand and use. But then came Fortran, recognized as the first high-level programming language. This was a big deal because it made coding much easier and more accessible. Following Fortran, other languages like COBOL and ALGOL appeared, each adding something new to how we create software.
编程语言的诞生是我们使用计算机方式的一个重大转折点。最初，人们使用非常基础的低级代码来指令计算机，这些代码难以理解和使用。但随后出现了 Fortran，它被公认为第一种高级编程语言。这意义重大，因为它使编程变得更加容易和普及。在 Fortran 之后，像 COBOL 和 ALGOL 这样的其他语言相继出现，每种语言都为我们创建软件的方式增添了新的元素。

As we dive into the history of programming languages, it’s amazing to see the big ideas and breakthroughs that have brought us to where we are today. We’ve moved from the basic to the complex, leading to programming principles that make languages like Python and Java possible. These advancements have significantly changed computing, making it worth taking a closer look at the key moments that have defined programming as we know it.
当我们深入研究编程语言的历史时，看到那些引领我们走到今天的伟大思想和突破，会让人惊叹不已。我们从基础走向复杂，形成了使 Python 和 Java 等语言成为可能的编程原理。这些进步极大地改变了计算领域，值得我们仔细审视那些定义了我们所熟知的编程的关键时刻。

Let’s talk about it like we’re having a cup of coffee together. Imagine how we went from flipping switches and punching cards to typing out code that can solve complex problems or create virtual worlds. It’s pretty incredible, right? The evolution of programming languages is not just a technical story; it’s about how we’ve made communicating with machines a lot more like natural human interaction.
让我们像一起喝杯咖啡那样聊聊这个话题。想象一下，我们是如何从拨动开关、打孔卡片，发展到能够输入代码来解决复杂问题或创建虚拟世界的。这真的很不可思议，对吧？编程语言的演变不仅仅是一个技术故事，更是关于我们如何使与机器的交流更接近自然的人类互动。

The Predecessors: Machine and Assembly Languages

先驱者：机器语言和汇编语言

Before the rise of high-level programming languages, the world of software development relied heavily on machine and assembly languages. These languages allowed developers to communicate directly with computer hardware. Machine language, made up of binary code, is the most basic form of programming. In this language, developers directly control hardware using binary digits (0s and 1s), which act like switches turning on and off. Despite its direct control over hardware, machine language is tough to work with. It’s hard to read and easy to make mistakes in because it’s just long strings of numbers.
在高级编程语言兴起之前，软件开发领域严重依赖机器语言和汇编语言。这些语言使开发人员能够直接与计算机硬件进行通信。由二进制代码组成的机器语言是最基本的编程形式。在这种语言中，开发人员使用二进制数字（0 和 1）直接控制硬件，这些数字就像开关一样可以打开或关闭。尽管机器语言能直接控制硬件，但它很难使用。由于它只是一长串数字，所以难以阅读且容易出错。

To make things easier, assembly language came along. It’s a small step up from machine language, using symbols and words (mnemonics) instead of binary. For example, instead of remembering a binary code for adding two numbers, a developer could just use the word ‘ADD’. This made coding closer to human language, making it easier to understand and manage.
为了简化操作，汇编语言应运而生。它比机器语言前进了一小步，使用符号和单词（助记符）代替二进制。例如，开发人员不必记住用于两个数字相加的二进制代码，只需使用“ADD”这个词即可。这使得编程更接近人类语言，更易于理解和管理。

Think of it like this: if machine language was like communicating with a light switch by directly messing with the electrical wiring, assembly language would be like using a regular on-off switch. It’s still pretty hands-on, but it’s a lot easier to manage.
可以这样理解：如果说机器语言就像通过直接摆弄电线来控制电灯开关，那么汇编语言就像使用普通的开关。它仍然需要亲自动手操作，但管理起来要容易得多。

This shift towards easier programming languages didn’t stop there. Assembly language laid the foundation for the development of high-level programming languages. These languages, such as Python or Java, are even more abstracted from the hardware. They let programmers write code as if they were giving instructions in English, which makes developing complex software faster and less prone to errors.
向更易用的编程语言的转变并未就此止步。汇编语言为高级编程语言的发展奠定了基础。像 Python 或 Java 这样的语言，与硬件的抽象程度更高。它们让程序员可以像用英语下达指令一样编写代码，这使得开发复杂软件的速度更快，且更不容易出错。

Fortran: The First High-Level Language

Fortran：第一种高级语言

Fortran, developed in the 1950s by John Backus and his team at IBM, stands as the pioneering high-level programming language, breaking new ground by moving beyond the complexities of assembly language. Named for ‘Formula Translation,’ Fortran was crafted with the goal of making mathematical and scientific programming not just easier, but more approachable. Unlike the intricate and detailed coding required in assembly language, Fortran introduced a syntax that mirrored the way humans understand mathematical expressions. This innovation greatly reduced the time and effort needed to develop sophisticated programs.
20 世纪 50 年代，约翰·巴克斯（John Backus）和他在 IBM 的团队开发了 Fortran，它作为开创性的高级编程语言，突破了汇编语言的复杂性，开辟了新的领域。Fortran 得名于“Formula Translation”（公式翻译），其设计目的是使数学和科学编程不仅更简单，而且更易于掌握。与汇编语言所需的复杂且繁琐的编码不同，Fortran 引入的语法与人类理解数学表达式的方式相似。这一创新大大减少了开发复杂程序所需的时间和精力。

The creation of Fortran marked a pivotal moment in software development. It demonstrated the immense value of abstraction, showing how programming could be made more efficient and accessible. Before Fortran, programmers had to meticulously manage every detail of their code, a process that was both time-consuming and prone to error. With Fortran, they could now focus more on solving problems than on the intricacies of the machine’s language. This shift not only sped up research and development in computational fields but also laid the groundwork for the programming languages that followed. Fortran’s design principles emphasized the importance of writing code that was easy to read, maintain, and update, aspects that are fundamental in today’s software development.
Fortran 的诞生标志着软件开发领域的一个关键转折点。它展示了抽象的巨大价值，说明了如何使编程更高效、更易于使用。在 Fortran 出现之前，程序员必须精心管理代码的每一个细节，这个过程既耗时又容易出错。有了 Fortran，他们现在可以更多地专注于解决问题，而不是机器语言的复杂细节。这一转变不仅加快了计算领域的研究和开发速度，也为后续编程语言的发展奠定了基础。Fortran 的设计原则强调了编写易于阅读、维护和更新的代码的重要性，这些方面在当今的软件开发中至关重要。

Moreover, Fortran’s legacy is evident in the way modern programming languages are designed and used. For example, languages like Python owe much to Fortran’s emphasis on simplicity and readability. Python, known for its user-friendly syntax, makes programming accessible to beginners and professionals alike, allowing them to focus on creating solutions rather than navigating complex syntax. This approach has made Python a popular choice for a wide range of applications, from web development to data analysis.
此外，Fortran 的遗产在现代编程语言的设计和使用方式中显而易见。例如，像 Python 这样的语言在很大程度上得益于 Fortran 对简洁性和可读性的强调。Python 以其用户友好的语法而闻名，使编程对初学者和专业人士都变得容易上手，让他们能够专注于创建解决方案，而不是应对复杂的语法。这种方式使 Python 成为从 web 开发到数据分析等广泛应用领域的热门选择。

In essence, Fortran was more than just a new programming language; it was a paradigm shift that opened up the world of computing to a broader audience. By simplifying the programming process, Fortran enabled scientists, engineers, and later on, developers from various disciplines, to harness the power of computers without being experts in machine language. This democratization of programming has continued to evolve, making technology more accessible and empowering people to innovate and solve problems in ways that were once unimaginable.
本质上，Fortran 不仅仅是一种新的编程语言，它是一次范式转变，为更广泛的人群打开了计算世界的大门。通过简化编程过程，Fortran 使科学家、工程师以及后来各个学科的开发人员能够利用计算机的力量，而无需成为机器语言专家。这种编程的大众化不断发展，使技术更容易获取，并赋予人们以曾经难以想象的方式进行创新和解决问题的能力。

Expanding Horizons: COBOL and ALGOL

拓展视野：COBOL 和 ALGOL

After Fortran set the stage, programming languages like COBOL and ALGOL significantly widened the possibilities in software engineering and problem-solving through computation. Developed in the late 1950s, COBOL, or Common Business-Oriented Language, was tailored for business data processing. Its design focuses on being easy to read and having strong file handling features. This focus made COBOL a go-to for sectors like banking, insurance, and government, where it’s still used today.
在 Fortran 奠定基础之后，像 COBOL 和 ALGOL 这样的编程语言通过计算极大地拓宽了软件工程和问题解决的可能性。COBOL 即“Common Business-Oriented Language”（通用商业导向语言），于 20 世纪 50 年代末开发，专为商业数据处理而设计。其设计注重易读性和强大的文件处理功能。这一特点使 COBOL 成为银行、保险和政府等行业的首选，如今仍在这些领域使用。

For example, a bank might use COBOL to process transactions and manage accounts because of its reliability and efficiency in handling large volumes of data. Similarly, government agencies often rely on COBOL for managing public records and services, showcasing its enduring relevance in critical sectors.
例如，银行可能会使用 COBOL 来处理交易和管理账户，因为它在处理大量数据时具有可靠性和效率。同样，政府机构通常依赖 COBOL 来管理公共记录和服务，这体现了它在关键领域的持久相关性。

Meanwhile, ALGOL, short for Algorithmic Language, emerged in 1958 and became a cornerstone in academia and research. Its major contribution was in laying the foundation for structured programming, influencing many languages that came after it. ALGOL introduced concepts like block structure and scope definition, revolutionizing how programs are organized and complexity is managed.
与此同时，ALGOL（“Algorithmic Language”的缩写，算法语言）于 1958 年出现，成为学术界和研究领域的基石。它的主要贡献是为结构化编程奠定了基础，并影响了后来的许多语言。ALGOL 引入了块结构和作用域定义等概念，彻底改变了程序的组织方式和复杂性的管理方式。

To understand the impact of ALGOL, consider how it paved the way for languages like C and Java, which borrowed its block structure for organizing code. This structure allows programmers to write clearer, more manageable code, which is essential for building complex software systems.
要理解 ALGOL 的影响，可以想想它如何为 C 和 Java 等语言铺平了道路，这些语言借鉴了它的块结构来组织代码。这种结构使程序员能够编写更清晰、更易于管理的代码，这对于构建复杂的软件系统至关重要。

Both COBOL and ALGOL have left a lasting legacy in the world of computing. COBOL’s focus on business applications and ALGOL’s influence on programming practices have shaped the development of software for decades. Their contributions highlight the importance of designing languages that meet specific needs, whether it’s handling vast amounts of business data or laying the groundwork for future innovations in programming.
COBOL 和 ALGOL 都在计算世界留下了持久的遗产。几十年来，COBOL 对商业应用的专注以及 ALGOL 对编程实践的影响，塑造了软件的发展。它们的贡献凸显了设计满足特定需求的语言的重要性，无论是处理大量商业数据还是为未来的编程创新奠定基础。

The Rise of Structured Programming

结构化编程的兴起

Structured programming, which found its roots in ALGOL, quickly became a game-changer in the world of software development. This method focuses on writing clear and straightforward code. It introduces the use of functions and control structures such as loops and if-else statements, moving away from the older, more error-prone ways of coding. This shift allowed programmers to tackle complex issues by breaking them down into smaller parts. This not only made code easier to read and maintain but also cut down the time needed to find and fix errors.
源于 ALGOL 的结构化编程迅速成为软件开发领域的变革者。这种方法注重编写清晰、简洁的代码。它引入了函数和控制结构（如循环和 if-else 语句）的使用，摆脱了较旧的、更易出错的编码方式。这一转变使程序员能够通过将复杂问题分解为更小的部分来解决它们。这不仅使代码更易于阅读和维护，还减少了查找和修复错误所需的时间。

One of the biggest advantages of structured programming is its push for code that prioritizes logic over machine-specific instructions. This move laid the groundwork for the creation of high-level programming languages that are more about what you want to do and less about how the computer does it. For example, languages like Python and Java owe a lot to the principles of structured programming. They allow developers to write code that’s easy to read, maintain, and debug, making programming more accessible to a wider range of people.
结构化编程的最大优势之一是它推动代码优先考虑逻辑而非特定于机器的指令。这一举措为高级编程语言的创建奠定了基础，这些语言更多地关注你想做什么，而不是计算机如何去做。例如，像 Python 和 Java 这样的语言在很大程度上得益于结构化编程的原则。它们使开发人员能够编写易于阅读、维护和调试的代码，使更广泛的人群能够接触到编程。

Structured programming’s impact doesn’t stop at making code easier to manage. It’s also about how it paved the way for the development of new programming paradigms. Today, when we talk about object-oriented or functional programming, we’re building on the foundation that structured programming laid down. It’s a testament to how fundamental these principles are to the way we create software now.
结构化编程的影响不仅仅是使代码更易于管理。它还为新的编程范式的发展铺平了道路。如今，当我们谈论面向对象编程或函数式编程时，我们都是在结构化编程奠定的基础上进行构建。这证明了这些原则对于我们现在创建软件的方式是多么重要。

Pioneering Modern Languages: Python and Java

现代语言的先驱：Python 和 Java

In the world of software development, Python and Java stand out as key players that have reshaped how we build and think about applications today. Python is known for its clear and simple approach, which has opened the doors of programming to a wider audience, not just those with a background in computer science. Its syntax is straightforward, and its dynamic typing system speeds up the coding process, making it a favorite in fast-paced settings like startups and academic research. For instance, Python’s frameworks like Django and Flask have streamlined web development, enabling developers to create robust applications quickly.
在软件开发领域，Python 和 Java 作为关键角色脱颖而出，重塑了我们如今构建和思考应用程序的方式。Python 以其清晰简洁的方法而闻名，它为更广泛的人群打开了编程之门，而不仅仅是那些有计算机科学背景的人。它的语法简单明了，动态类型系统加快了编码过程，使其成为初创企业和学术研究等快节奏环境中的首选。例如，Python 的 Django 和 Flask 等框架简化了 web 开发，使开发人员能够快速创建强大的应用程序。

Java, on the other hand, brought a game-changing concept to the table: write your code once, and run it anywhere. This principle of cross-platform compatibility has been a boon for enterprise-level software, where the need for reliable and scalable systems is paramount. Java’s strength lies in its object-oriented design and a rich collection of libraries, which simplifies the construction of large, complex systems. For example, Java’s Spring Framework has become a standard for building enterprise applications, offering a powerful suite of features for everything from security to web development.
另一方面，Java 带来了一个改变游戏规则的概念：一次编写，到处运行。这种跨平台兼容性原则对企业级软件来说是一大福音，在这些软件中，对可靠且可扩展的系统的需求至关重要。Java 的优势在于其面向对象的设计和丰富的库集合，这简化了大型复杂系统的构建。例如，Java 的 Spring 框架已成为构建企业应用程序的标准，提供了从安全到 web 开发等方方面面的强大功能套件。

Together, Python and Java have shifted the programming landscape towards making code more accessible, portable, and efficient. This shift not only makes it easier for developers to work on projects but also sets new standards for what good software engineering looks like. By focusing on these languages’ strengths, developers can choose the right tool for their project’s needs, whether it’s Python’s rapid development capabilities for a new web app or Java’s robustness for a large-scale enterprise system.
Python 和 Java 共同将编程格局转向了使代码更易于获取、可移植性更强和更高效的方向。这一转变不仅使开发人员更容易开展项目工作，还为优秀的软件工程树立了新的标准。通过关注这些语言的优势，开发人员可以为其项目需求选择合适的工具，无论是 Python 对新 web 应用程序的快速开发能力，还是 Java 对大规模企业系统的稳健性。

In talking about Python and Java, it’s like discussing the backbone of modern software development. Both languages offer unique advantages that, when utilized properly, can lead to the creation of cutting-edge software. By understanding and applying the principles that these languages embody, developers can craft solutions that are not only effective but also innovative and user-friendly.
谈论 Python 和 Java，就像谈论现代软件开发的支柱。这两种语言都具有独特的优势，若运用得当，可助力开发出尖端软件。通过理解并应用这些语言所体现的原则，开发人员能够打造出不仅高效，而且创新且用户友好的解决方案。

Conclusion

结论

To sum it up, the way programming languages have changed over time is pretty remarkable. We started with basic machine and assembly languages and now have advanced high-level languages.
总而言之，编程语言随时间的演变令人瞩目。我们从基础的机器语言和汇编语言起步，如今已经拥有了先进的高级语言。

Fortran was the first of its kind, opening the door to other languages like COBOL and ALGOL. This evolution also brought about structured programming.
Fortran 是同类中的第一个，为 COBOL 和 ALGOL 等其他语言打开了大门。这一演变还催生了结构化编程。

Nowadays, we have languages like Python and Java that show just how much programming languages have evolved, playing a key role in the development of technology and how we solve problems using computers.
如今，我们拥有像 Python 和 Java 这样的语言，它们展示了编程语言的巨大进步，并在技术发展以及我们使用计算机解决问题的方式中发挥着关键作用。

The Language Behind Operating System Programming

操作系统编程背后的语言

OPERATING SYSTEMS PROGRAMMING

The way operating systems (OS) are programmed has changed a lot, thanks to different programming languages. At first, programmers used assembly language to talk directly to the computer’s hardware. Later, they started using high-level languages that are faster and more efficient. Choosing the right language is super important because it affects how well the operating system works.
由于不同的编程语言，操作系统（OS）的编程方式发生了很大变化。起初，程序员使用汇编语言直接与计算机硬件通信。后来，他们开始使用更快、更高效的高级语言。选择合适的语言至关重要，因为它会影响操作系统的运行效果。

As we take a closer look at the languages that have been crucial in developing modern operating systems, it’s clear that picking a language for an OS isn’t just about the technical stuff. It’s also about the big ideas behind how we use computers and the internet. And as we move forward, we can expect even more cool changes in how operating systems are made.
当我们仔细研究在现代操作系统开发中至关重要的语言时，很明显，为操作系统选择语言不仅仅关乎技术层面。它还与我们使用计算机和互联网背后的宏大理念有关。随着我们不断前进，我们可以期待操作系统的制作方式会有更多精彩的变化。

In plain terms, the way we create operating systems is always evolving, and it’s exciting to think about what’s next.
简单来说，我们创建操作系统的方式一直在不断发展，想到未来会发生什么就让人兴奋不已。

The Dawn of OS Programming

操作系统编程的开端

The early days of operating system (OS) programming were a critical time in the history of computing. It was a period filled with breakthroughs, as developers worked to create software that could effectively manage computer hardware and improve how users interacted with machines. Initially, computers were simple, doing one task at a time. But as needs grew, so did the complexity of tasks computers were expected to handle, like running multiple applications simultaneously. This shift led to the development of operating systems that could allocate resources wisely, manage memory efficiently, and understand user commands accurately.
操作系统（OS）编程的早期是计算历史上的关键时期。那是一个充满突破的时期，开发人员努力创建能够有效管理计算机硬件并改善用户与机器交互方式的软件。最初，计算机很简单，一次只能执行一项任务。但随着需求的增长，计算机需要处理的任务复杂性也在增加，比如同时运行多个应用程序。这一转变促使人们开发出能够合理分配资源、高效管理内存并准确理解用户命令的操作系统。

In the beginning, creating an OS required programmers to pay close attention to detail. They had to write code and design systems that could handle complex tasks without errors. These early programmers were real trailblazers. They established the methods and structures that would allow computer technology to advance rapidly. Their work focused on making operating systems stable, efficient, and capable of growing to meet future demands. This foundation was crucial for the innovations that followed in computer technology.
起初，创建操作系统需要程序员密切关注细节。他们必须编写代码并设计能够处理复杂任务而不出错的系统。这些早期的程序员是真正的开拓者。他们建立的方法和结构使计算机技术得以快速发展。他们的工作重点是使操作系统稳定、高效，并能够不断发展以满足未来的需求。这一基础对计算机技术后续的创新至关重要。

For example, the creation of Unix in the late 1960s and early 1970s showcased the importance of these principles. Unix was designed to be simple yet powerful, capable of running on different types of hardware, and it introduced the concept of writing programs that do one thing well and work together with other programs. This approach to OS design not only influenced future operating systems like Linux but also paved the way for the development of the internet and the software ecosystem that we rely on today.
例如，20 世纪 60 年代末至 70 年代初 Unix 的创建就体现了这些原则的重要性。Unix 设计得简单而强大，能够在不同类型的硬件上运行，它还引入了“编写只做好一件事并能与其他程序协同工作的程序”这一概念。这种操作系统设计方法不仅影响了后来的 Linux 等操作系统，还为互联网的发展以及我们今天所依赖的软件生态系统铺平了道路。

The evolution from those early days to now is astonishing. Modern operating systems, such as Windows 10, macOS, and Linux distributions, offer user-friendly interfaces, robust security features, and the ability to run a vast array of applications simultaneously. They are the backbone of everything from personal computers and smartphones to servers running the websites and services we use daily.
从早期到现在的演变令人惊叹。现代操作系统，如 Windows 10、macOS 和各种 Linux 发行版，提供了用户友好的界面、强大的安全功能，并能够同时运行大量应用程序。它们是从个人计算机、智能手机到运行我们日常使用的网站和服务的服务器等一切事物的支柱。

Understanding the beginnings of OS programming helps us appreciate the complexity and importance of what lies behind the screens we interact with every day. It’s a reminder of how far we’ve come and an inspiration for future innovations in computing.
了解操作系统编程的起源有助于我们认识到我们每天交互的屏幕背后事物的复杂性和重要性。它提醒我们已经取得了多大的进步，并为未来的计算创新提供了灵感。

Evolution of Programming Languages

编程语言的演变

The journey of programming languages has been an incredible one, moving hand in hand with the advancements in computer technology and the growing complexity of tasks we want our computers to handle. In the beginning, programming languages were basically just sets of commands that closely matched what the computer hardware could directly understand. This required programmers to have a deep understanding of the inner workings of the computer and to pay close attention to every little detail.
编程语言的发展历程令人惊叹，它与计算机技术的进步以及我们希望计算机处理的任务日益增长的复杂性齐头并进。起初，编程语言基本上只是与计算机硬件能够直接理解的指令紧密匹配的命令集。这要求程序员深入了解计算机的内部工作原理，并密切关注每一个小细节。

As the needs of computer users evolved, it became clear that we needed languages that allowed programmers to write code in a way that was closer to human thinking than to machine language. This led to the creation of high-level programming languages. These languages let developers focus on solving problems and implementing logic, without getting bogged down in the specifics of the computer’s hardware.
随着计算机用户需求的演变，很明显我们需要一种能让程序员以更接近人类思维而非机器语言的方式编写代码的语言。这催生了高级编程语言的诞生。这些语言让开发人员能够专注于解决问题和实现逻辑，而不必陷入计算机硬件的具体细节中。

This shift from low-level to high-level programming languages has opened up the world of software development to a much wider audience. It’s not just about making things easier for programmers; it’s also about boosting productivity and sparking innovation. High-level languages have made it possible for people from different backgrounds to bring their unique perspectives to software development, enriching the field.
从低级编程语言到高级编程语言的转变，为更广泛的人群打开了软件开发的世界。这不仅是为了让程序员的工作更轻松，也是为了提高生产力和激发创新。高级语言使来自不同背景的人能够将他们独特的视角带入软件开发领域，丰富了这个领域。

Moreover, this evolution has paved the way for the creation of specialized languages. These are designed to tackle specific types of problems or to work within particular domains. For example, SQL is used for database management, while HTML and CSS are essential for web development. The development of these specialized languages has made it much easier to build efficient and effective software solutions that meet the needs of various industries.
此外，这一演变还为专用语言的创建铺平了道路。这些语言旨在解决特定类型的问题或在特定领域内工作。例如，SQL 用于数据库管理，而 HTML 和 CSS 是 web 开发的必备工具。这些专用语言的发展使得构建满足各行业需求的高效软件解决方案变得更加容易。

In a nutshell, the development of programming languages has been a journey from the highly specific and technical, to the more abstract and accessible. This evolution has not only made programming more approachable but has also significantly expanded what we can achieve with software. Whether we’re talking about creating immersive video games, developing life-saving medical software, or simply building a website for a small business, the right programming language can make all the difference. And as technology continues to advance, who knows what new languages and possibilities will emerge?
简而言之，编程语言的发展是一个从高度特定和技术性的语言向更抽象、更易于使用的语言转变的过程。这一演变不仅使编程更易于上手，还极大地扩展了我们通过软件所能实现的目标。无论是创建沉浸式视频游戏、开发救命的医疗软件，还是仅仅为小型企业构建一个网站，合适的编程语言都能带来巨大的不同。随着技术的不断进步，谁知道会出现什么新的语言和可能性呢？

Key Languages in Modern OS Development

现代操作系统开发中的关键语言

When we dive into the world of operating system (OS) development, a few programming languages stand out because of their unique features and capabilities. C and C++ are the backbone of this realm. They allow developers to manage system resources efficiently and ensure the software runs smoothly. These languages have been around for a while, but their ability to provide low-level access to hardware makes them indispensable.
当我们深入操作系统（OS）开发领域时，有几种编程语言因其独特的特性和功能而脱颖而出。C 和 C++ 是这个领域的支柱。它们使开发人员能够高效地管理系统资源，并确保软件平稳运行。这些语言已经存在了一段时间，但它们提供对硬件的低级访问的能力使其不可或缺。

Enter Rust, a newer language gaining ground in the OS development scene. Rust brings something special to the table: it’s designed with safety and parallelism at its core. This means it can prevent many common bugs that plague C and C++ programs, particularly those related to memory management. It’s like having a safety net, ensuring that the software not only performs well but is also more secure.
再看 Rust，这是一种在操作系统开发领域逐渐崭露头角的较新语言。Rust 带来了独特的优势：它的设计以安全性和并行性为核心。这意味着它可以防止许多困扰 C 和 C++ 程序的常见错误，特别是那些与内存管理相关的错误。这就像有一张安全网，确保软件不仅性能良好，而且更安全。

Assembly language, though less commonly used for entire applications, remains crucial for optimizing specific parts of an OS. It’s all about speed and efficiency. Developers can write code that speaks directly to the machine, squeezing out every bit of performance. It’s like fine-tuning a high-performance car to get the best possible speed.
汇编语言虽然不太常用于整个应用程序，但在优化操作系统的特定部分时仍然至关重要。它的关键在于速度和效率。开发人员可以编写直接与机器对话的代码，充分发挥每一分性能。这就像对高性能汽车进行微调以获得最佳速度一样。

Together, these languages equip developers with a comprehensive toolkit for OS development. They can balance speed, efficiency, and security, making sure the operating system is robust and reliable. For example, the Linux kernel, which is at the heart of many operating systems, is primarily written in C, with critical performance parts in Assembly. Rust is starting to make its mark too, with projects like the experimental Rust for Linux initiative, aiming to bring Rust’s safety features into the Linux kernel.
这些语言共同为开发人员提供了一套全面的操作系统开发工具包。他们可以在速度、效率和安全性之间取得平衡，确保操作系统强大且可靠。例如，作为许多操作系统核心的 Linux 内核主要用 C 语言编写，关键的性能部分则用汇编语言编写。Rust 也开始崭露头角，像实验性的“Rust for Linux”计划等项目，旨在将 Rust 的安全特性引入 Linux 内核。

Challenges in OS Language Design

操作系统语言设计中的挑战

Creating a programming language tailored for building operating systems (OS) involves tackling some tough challenges. Three key aspects need to be in perfect harmony: efficiency, safety, and the ability to directly interact with hardware. Let’s break these down.
创建一种专为构建操作系统（OS）量身定制的编程语言需要应对一些严峻的挑战。有三个关键方面需要完美协调：效率、安全性和直接与硬件交互的能力。让我们详细分析一下。

First, efficiency is vital. Operating systems need to run smoothly and quickly, as they’re the backbone of any computing device. This means the programming language used to develop them must be capable of producing code that’s not just powerful but also lean and fast. Imagine you’re driving a sports car; you’d want it to respond instantly and powerfully with every push of the pedal. That’s how an OS needs to perform, and the right programming language is the engine making that happen.
首先，效率至关重要。操作系统作为任何计算设备的支柱，需要平稳快速地运行。这意味着用于开发它们的编程语言必须能够生成不仅功能强大，而且精简且快速的代码。想象一下你正在驾驶一辆跑车；你希望每踩一下踏板，它都能立即做出有力的响应。这就是操作系统需要具备的性能，而合适的编程语言就是实现这一点的引擎。

Safety can’t be overlooked. An operating system is like a city’s infrastructure; if there’s a flaw in the design, the whole system can face serious issues, from minor glitches to major security breaches. This means the language must have solid error handling and type safety features. It’s like having a top-notch security system in your house, ensuring everything runs smoothly without letting any intruders in.
安全性不容忽视。操作系统就像一个城市的基础设施；如果设计中存在缺陷，整个系统可能会面临严重问题，从小故障到重大安全漏洞不等。这意味着该语言必须具有可靠的错误处理和类型安全特性。这就像你家里有一个一流的安全系统，确保一切正常运行，不让任何入侵者进入。

Then there’s the need for direct hardware access. Operating systems work closely with the computer’s physical components, like the CPU and memory. The programming language must allow developers to manipulate these resources directly. However, this is a double-edged sword because while you gain powerful control, you also risk safety and can run into compatibility issues across different devices. It’s akin to a surgeon needing precise instruments to operate; there’s no room for error.
然后是对直接硬件访问的需求。操作系统与计算机的物理组件（如 CPU 和内存）密切协作。编程语言必须允许开发人员直接操作这些资源。然而，这是一把双刃剑，因为虽然你获得了强大的控制权，但你也面临着安全风险，并且可能在不同设备上遇到兼容性问题。这就像外科医生需要精密的仪器进行手术一样，不容许有任何差错。

Balancing these aspects is no small feat. Often, prioritizing one aspect means compromising another. For instance, focusing too much on safety might limit how directly you can control hardware, or striving for maximum efficiency might introduce risks to system security. It’s a delicate dance, requiring a deep understanding of both the software and the hardware involved.
平衡这些方面并非易事。通常，优先考虑一个方面意味着要牺牲另一个方面。例如，过于注重安全性可能会限制你直接控制硬件的程度，而追求最高效率可能会给系统安全带来风险。这是一个微妙的平衡，需要对所涉及的软件和硬件都有深刻的理解。

One way to navigate these challenges is through the use of modern programming languages that are designed with these needs in mind. Rust, for example, has gained popularity for system-level programming because it offers both safety and efficiency. It uses a unique approach to manage memory safely without sacrificing performance, making it a compelling option for OS development.
应对这些挑战的一种方法是使用考虑到这些需求而设计的现代编程语言。例如，Rust 在系统级编程中越来越受欢迎，因为它兼具安全性和效率。它采用独特的方法来安全地管理内存，同时不牺牲性能，使其成为操作系统开发的一个有吸引力的选择。

Ultimately, designing a programming language for OS development is about finding the right balance. It requires a thoughtful approach, considering the impact of each decision on the final product’s performance, security, and functionality. With the right tools and a deep understanding of the intricacies involved, it’s possible to create an operating system that’s not just powerful and secure but also highly efficient.
归根结底，为操作系统开发设计编程语言就是要找到适当的平衡。这需要深思熟虑的方法，考虑每个决策对最终产品的性能、安全性和功能的影响。凭借合适的工具和对所涉及复杂性的深刻理解，我们有可能创建一个不仅强大、安全而且高效的操作系统。

Future Trends in OS Programming

操作系统编程的未来趋势

The future of operating system (OS) programming is heading towards an exciting phase with the integration of artificial intelligence (AI) and machine learning (ML). These technologies aim to improve how systems automate tasks and enhance their performance. Imagine an OS that learns from your habits and optimizes itself for better energy efficiency or faster processing of your favorite apps. It’s like having a personal assistant embedded within your device, constantly working to provide a smoother and more personalized experience.
随着人工智能（AI）和机器学习（ML）的整合，操作系统（OS）编程的未来正迈向一个令人兴奋的阶段。这些技术旨在改进系统自动化任务的方式并提升其性能。想象一下，有一个操作系统能够从你的习惯中学习，并对自身进行优化，以提高能源效率或加快你喜爱的应用程序的处理速度。这就像在你的设备中嵌入了一个私人助理，不断努力为你提供更流畅、更个性化的体验。

Moreover, the advent of quantum computing is set to revolutionize OS programming. This isn’t just about faster computers. Quantum computing allows for solving complex problems in ways that traditional computers can’t handle. However, to truly harness this power, we need new programming languages designed specifically for quantum environments. Imagine programming languages that can efficiently translate complex quantum algorithms into tasks that quantum computers can execute, opening up new possibilities in fields like cryptography, materials science, and complex system simulation.
此外，量子计算的出现将彻底改变操作系统编程。这不仅仅是关于更快的计算机。量子计算能够以传统计算机无法处理的方式解决复杂问题。然而，要真正利用这种力量，我们需要专为量子环境设计的新编程语言。想象一下，有这样的编程语言能够有效地将复杂的量子算法转化为量子计算机可以执行的任务，这将在密码学、材料科学和复杂系统模拟等领域开辟新的可能性。

Speaking of cryptography, the demand for stronger security and privacy measures is higher than ever. Operating systems are responding by incorporating advanced security features directly into their core. For example, the use of end-to-end encryption in messaging has become more common, ensuring that only the communicating users can read the messages. Similarly, OS developers are implementing more sophisticated methods to protect against malware and cyber-attacks, using AI to predict and neutralize threats before they can cause harm.
说到密码学，对更强安全和隐私措施的需求比以往任何时候都要高。操作系统正通过将高级安全功能直接整合到其核心中来应对这一需求。例如，消息传递中端到端加密的使用变得更加普遍，确保只有通信用户才能读取消息。同样，操作系统开发人员正在实施更复杂的方法来防范恶意软件和网络攻击，利用人工智能在威胁造成危害之前对其进行预测和中和。

This blend of AI, quantum computing, and enhanced security measures is transforming OS programming. It’s making systems not just more efficient and secure but also more in tune with the needs of users and the capabilities of future technologies.
人工智能、量子计算和增强的安全措施的融合正在改变操作系统编程。它不仅使系统更高效、更安全，还能更好地适应用户的需求和未来技术的能力。

In this evolving landscape, developers and companies are constantly innovating. For instance, IBM’s Qiskit is an open-source quantum computing software development framework that allows developers to experiment with quantum algorithms. Meanwhile, Google’s TensorFlow is a popular open-source library for machine learning and AI development, helping programmers create systems that can learn and adapt.
在这个不断发展的领域，开发人员和公司正在不断创新。例如，IBM 的 Qiskit 是一个开源的量子计算软件开发框架，允许开发人员试验量子算法。同时，谷歌的 TensorFlow 是一个流行的机器学习和人工智能开发开源库，帮助程序员创建能够学习和适应的系统。

Conclusion

结论

The development of operating systems has really been influenced by how programming languages have grown over time. Some key languages have stood out because they tackle the specific challenges of creating operating systems.
操作系统的发展确实受到了编程语言随时间演变的影响。一些关键语言因其能够应对创建操作系统的特定挑战而脱颖而出。

As technology keeps changing, we expect to see operating systems becoming even better at being efficient, secure, and adaptable. The continuous improvements in programming languages are definitely going to play a big role in what operating systems can do in the future.
随着技术的不断变化，我们预计操作系统将在效率、安全性和适应性方面变得更好。编程语言的不断改进肯定会在未来操作系统的功能方面发挥重要作用。

Choosing the Right Programming Language for AI

为人工智能选择合适的编程语言

ARTIFICIAL INTELLIGENCE PROGRAMMING

Choosing the right programming language for AI projects is super important. It’s not just about what you like or know best. You really have to think about what your project needs, how fast the language can run, and if there are good libraries and tools available to help you out.
为人工智能项目选择合适的编程语言非常重要。这不仅仅关乎你喜欢什么或最了解什么。你真的需要考虑你的项目需求是什么，这种语言的运行速度有多快，以及是否有好的库和工具可以帮助你。

It’s also wise to look at the community around the language – are people helpful, are there enough resources? Plus, think about where AI and programming languages are headed in the future. This decision is pretty complex and needs some serious thought to make sure you’re picking the best option for your project.
关注该语言周围的社区也是明智之举——人们是否乐于助人，是否有足够的资源？此外，还要考虑人工智能和编程语言未来的发展方向。这个决定相当复杂，需要认真思考，以确保你为项目选择了最佳选项。

It’s all about making a smart choice that’ll help your AI project succeed in the long run.
关键在于做出明智的选择，这将有助于你的人工智能项目长期取得成功。

Understanding AI Project Needs

了解人工智能项目需求

Before you dive into an AI project, it’s smart to really break down what you need and want to achieve. Think of it like planning a road trip: you wouldn’t just jump in the car without knowing your destination, right? First off, you’ve got to be crystal clear about the problem you’re trying to solve. This is your roadmap.
在投入人工智能项目之前，明智的做法是真正分解你的需求和想要实现的目标。可以把它想象成规划一次公路旅行：你不会在不知道目的地的情况下就跳上车，对吧？首先，你必须非常清楚你要解决的问题。这就是你的路线图。

Next, consider what kind of data you’ll feed into your AI system and what you expect it to spit out. This step is akin to packing the right supplies for your journey.
接下来，考虑你将向人工智能系统输入什么样的数据，以及你期望它输出什么。这一步类似于为你的旅程准备合适的物资。

Now, let’s talk about the engine of your project: computational power. Just like choosing a car that can handle the terrain, you need to figure out how much computing oomph you’ll need. This decision affects which programming language you’ll use. It’s like picking a vehicle with the best fuel efficiency for your trip. Also, think about the future. Will your AI project need to grow? Can it play nice with the systems you already use? This foresight is like ensuring your car has enough seats for additional passengers and can sync with your favorite navigation app.
现在，让我们来谈谈你项目的“引擎”：计算能力。就像选择一辆能应对地形的汽车一样，你需要弄清楚你需要多少计算能力。这个决定会影响你使用哪种编程语言。这就像为你的旅行选择一辆燃油效率最佳的车辆。此外，还要考虑未来。你的人工智能项目需要扩展吗？它能与你已有的系统良好兼容吗？这种远见就像确保你的车有足够的座位容纳额外的乘客，并且能与你最喜欢的导航应用同步一样。

Choosing the right programming language for your AI project is a big deal. It’s the difference between a smooth ride and a breakdown. For example, Python is often a go-to because it’s user-friendly and has a ton of libraries specifically for AI and machine learning. It’s like having a car with an excellent navigation system and a top-notch stereo for the journey.
为你的人工智能项目选择合适的编程语言是一件大事。它决定了你的项目是顺利进行还是中途出故障。例如，Python 通常是首选，因为它用户友好，并且有大量专门用于人工智能和机器学习的库。这就像拥有一辆带有出色导航系统和顶级音响的汽车一样，能让你的旅程更加顺畅。

In essence, taking the time to carefully plan your AI project sets you up for success. It ensures you pick the right tools and technologies, making your development process smoother and more efficient. Think of it as making sure you’ve got a full tank of gas, a tuned-up engine, and the best possible route mapped out before you hit the road.
本质上，花时间仔细规划你的人工智能项目是为成功奠定基础。它确保你选择了正确的工具和技术，使你的开发过程更加顺畅和高效。可以把它想象成在你上路之前，确保油箱加满油、发动机调试好，并且规划出最佳路线。

Evaluating Language Performance

评估语言性能

Choosing the right programming language for artificial intelligence (AI) projects is a crucial step that can greatly influence both the efficiency and the success of your project. When evaluating a programming language, you should look at three important performance metrics: how fast the language can execute tasks, how much memory it uses, and how well it can manage multiple tasks at once.
为人工智能（AI）项目选择合适的编程语言是至关重要的一步，它会极大地影响项目的效率和成功与否。评估一种编程语言时，你应该关注三个重要的性能指标：该语言执行任务的速度有多快、它使用多少内存，以及它同时管理多个任务的能力如何。

Let’s break these down. First, consider the speed of execution. This is especially important for AI projects that need to process data in real time or perform complex calculations quickly. For example, if you’re working on an AI that processes live video feeds to identify objects, any delay in processing can mean missing crucial information.
让我们详细分析一下这些指标。首先，考虑执行速度。这对于需要实时处理数据或快速执行复杂计算的人工智能项目尤为重要。例如，如果你正在开发一个处理实时视频流以识别物体的人工智能，处理过程中的任何延迟都可能意味着错过关键信息。

Next, think about memory usage. Efficient use of memory is key when training AI models, as these often require large datasets. By choosing a language that uses memory efficiently, you can train more complex models or use larger datasets without blowing your budget on extra hardware.
接下来，考虑内存使用情况。在训练人工智能模型时，高效利用内存至关重要，因为这些模型通常需要大型数据集。通过选择一种内存使用高效的语言，你可以训练更复杂的模型或使用更大的数据集，而不必在额外硬件上超出预算。

Finally, there’s the ability to handle concurrent processes. This is about how well a language can do multiple things at the same time. For scaling AI applications or managing tasks that need to happen simultaneously, this is crucial. Imagine an AI system that controls a smart home; it needs to adjust the thermostat, play music, and keep an eye on security cameras all at once. A language that handles concurrency well can make this seamless.
最后，是处理并发进程的能力。这关乎一种语言同时处理多个事情的能力。对于扩展人工智能应用程序或管理需要同时进行的任务，这一点至关重要。想象一个控制智能家居的人工智能系统；它需要同时调节恒温器、播放音乐和监控安全摄像头。一种能很好地处理并发的语言可以使这一切无缝进行。

So, which languages fit the bill? Python is a go-to for many AI projects because of its simplicity and the vast ecosystem of AI and machine learning libraries, like TensorFlow and PyTorch. However, for tasks where execution speed is critical, languages like C++ may be preferred, despite their steeper learning curve. Julia is another interesting option, combining the ease of Python with speed that rivals C++.
那么，哪些语言符合要求呢？Python 是许多人工智能项目的首选，因为它简单易用，并且拥有庞大的人工智能和机器学习库生态系统，如 TensorFlow 和 PyTorch。然而，对于执行速度至关重要的任务，像 C++ 这样的语言可能更受青睐，尽管它们的学习曲线更陡峭。Julia 是另一个有趣的选择，它结合了 Python 的易用性和可与 C++ 相媲美的速度。

Library and Framework Availability

库和框架的可用性

The choice of a programming language for AI projects isn’t just about how fast it runs. What really makes a difference is the libraries and frameworks it supports. These tools are game-changers. They cut down on development time, make it easier to use complex algorithms, and add functionalities without starting from scratch. Take Python, for example. It’s a favorite in the AI community, largely thanks to TensorFlow and PyTorch. These tools are packed with features for deep learning, making Python a go-to language. Then there’s R, famous for its vast collection of packages for statistical analysis and data visualization. These are essential for creating data-driven AI models.
为人工智能项目选择编程语言不仅仅关乎它的运行速度。真正起作用的是它所支持的库和框架。这些工具能改变游戏规则。它们减少了开发时间，使复杂算法的使用变得更容易，并且无需从零开始就能添加功能。以 Python 为例，它是人工智能社区的最爱，这在很大程度上要归功于 TensorFlow 和 PyTorch。这些工具充满了深度学习功能，使 Python 成为首选语言。还有 R 语言，它以其大量的统计分析和数据可视化包而闻名。这些对于创建数据驱动的人工智能模型至关重要。

What we’re looking for in a programming language is a rich set of libraries and frameworks. They should cover a wide range of AI tasks, making the development process more efficient. This factor is crucial for ensuring a language can handle future AI projects. It needs to be adaptable and scalable.
我们在编程语言中寻求的是丰富的库和框架集合。它们应该涵盖广泛的人工智能任务，使开发过程更高效。这一因素对于确保一种语言能够处理未来的人工智能项目至关重要。它需要具有适应性和可扩展性。

Let’s talk specifics. If you’re into machine learning, Python’s Scikit-learn is a must-know. It’s user-friendly and versatile, perfect for both beginners and seasoned professionals. For those working with data, Pandas is another Python library that’s incredibly useful for data manipulation and analysis.
让我们具体谈谈。如果你从事机器学习，Python 的 Scikit-learn 是必须了解的。它用户友好且用途广泛，非常适合初学者和经验丰富的专业人士。对于那些处理数据的人来说，Pandas 是另一个非常有用的 Python 库，用于数据操作和分析。

In essence, the more comprehensive the ecosystem around a programming language, the better suited it is for AI development. This ecosystem allows for faster progress, more innovation, and ultimately, more successful AI projects. It’s not just about having tools; it’s about having the right tools at your fingertips.
本质上，一种编程语言周围的生态系统越全面，它就越适合人工智能开发。这个生态系统能促进更快的进步、更多的创新，并最终带来更成功的人工智能项目。重要的不仅仅是拥有工具，而是拥有触手可及的合适工具。

Community and Support Ecosystem

社区和支持生态系统

Choosing the right programming language for AI projects isn’t just about the technical features like libraries and frameworks; the community and support that come with it are just as crucial.
为人工智能项目选择合适的编程语言不仅仅关乎库和框架等技术特性；其附带的社区和支持也同样至关重要。

Think of it this way: a strong community acts like a bustling marketplace of ideas, where you can get expert advice, share solutions, and work together on problems. Plus, a supportive ecosystem offers everything from detailed guides and lively discussion forums to regular updates that fix bugs and add new features.
可以这样理解：一个强大的社区就像一个热闹的思想市场，在那里你可以获得专家建议、分享解决方案并共同解决问题。此外，一个支持性的生态系统提供从详细指南、活跃的讨论论坛到定期更新（修复错误和添加新功能）等一切内容。

Let’s talk specifics. When you’re in the thick of an AI project and you hit a roadblock, having a large and active community can be a lifesaver. It’s like having a team of experts at your fingertips, ready to help you solve problems quickly. This not only speeds up your project but also keeps you on the cutting edge of AI advancements.
让我们具体说说。当你深入人工智能项目并遇到障碍时，一个庞大而活跃的社区可能会成为救星。这就像有一群专家随时待命，准备帮助你快速解决问题。这不仅加快了你的项目进度，还让你始终处于人工智能进步的前沿。

For example, if you’re using Python for AI, you’re in luck. Python has a massive community and a wealth of resources like Stack Overflow, GitHub, and dedicated forums like Python’s own mailing lists and Reddit communities.
例如，如果你使用 Python 进行人工智能开发，那你很幸运。Python 拥有庞大的社区和丰富的资源，如 Stack Overflow、GitHub，以及 Python 自己的邮件列表和 Reddit 社区等专门的论坛。

Moreover, a well-maintained support ecosystem ensures that the language stays relevant and secure. Regular updates are crucial for fixing vulnerabilities and introducing new features that can give your project an edge.
此外，一个维护良好的支持生态系统确保该语言保持相关性和安全性。定期更新对于修复漏洞和引入能让你的项目占据优势的新功能至关重要。

Take TensorFlow, an open-source AI library by Google. It’s not just the technology that’s impressive; it’s also backed by extensive documentation, tutorials, and a community forum where users can get help directly from Google engineers.
以谷歌的开源人工智能库 TensorFlow 为例。令人印象深刻的不仅是这项技术，还有其背后丰富的文档、教程以及一个社区论坛，用户可以在那里直接获得谷歌工程师的帮助。

In essence, when picking a programming language for your AI project, think beyond the code. Consider the community and support ecosystem as your extended team. A vibrant, active community and strong support can dramatically improve your development experience, helping you navigate challenges and stay ahead in the fast-evolving field of AI.
本质上，当为你的人工智能项目选择编程语言时，要超越代码本身去思考。把社区和支持生态系统视为你的扩展团队。一个充满活力、活跃的社区和强大的支持可以显著改善你的开发体验，帮助你应对挑战，并在快速发展的人工智能领域保持领先。

Future-Proofing Your AI Development

确保你的人工智能开发具有前瞻性

Choosing the right programming language for Artificial Intelligence (AI) projects is crucial for their success and adaptability in the future. A language that’s built for the long haul should be able to grow as the demands of AI expand. This means it must have a solid foundation for scaling up, a wide range of libraries to draw from, and a development team that’s always looking ahead to the next big thing in AI.
为人工智能（AI）项目选择合适的编程语言，对于项目的成功及其在未来的适应性至关重要。一种具有长远发展潜力的语言应该能够随着人工智能需求的扩大而发展。这意味着它必须有坚实的扩展基础、丰富的可利用库，以及一个始终关注人工智能领域下一个重大事件的开发团队。

For example, languages that make it easy to work with large amounts of data and that can run processes in parallel are a big plus. These capabilities are essential for AI projects, which often involve crunching huge datasets and performing complex calculations. Python is a great example here; it’s known for its extensive libraries like TensorFlow and PyTorch, which are gold standards for AI development.
例如，那些易于处理大量数据且能并行运行进程的语言是一大优势。这些能力对于人工智能项目至关重要，因为这些项目通常需要处理海量数据集并执行复杂计算。Python 就是一个很好的例子；它以其广泛的库（如 TensorFlow 和 PyTorch）而闻名，这些库是人工智能开发的黄金标准。

Another key factor is a language’s ability to integrate with new tools and frameworks as they emerge. This flexibility means that developers won’t have to start from scratch every time there’s a technological leap forward. Instead, they can build on their existing work, making updates and improvements along the way.
另一个关键因素是一种语言在新工具和框架出现时与之集成的能力。这种灵活性意味着，每当技术取得飞跃时，开发人员不必从零开始。相反，他们可以在现有工作的基础上进行更新和改进。

A vibrant community and regular updates are also signs of a healthy programming language. They indicate that the language is likely to keep up with changes in technology and not fall by the wayside. Again, Python shines in this aspect, with an active community that’s always contributing new tools and updates.
活跃的社区和定期更新也是一种健康编程语言的标志。它们表明这种语言可能会跟上技术的变化，而不会被淘汰。同样，Python 在这方面表现出色，其活跃的社区不断贡献新的工具和更新。

Conclusion

结论

To sum it up, picking the right programming language for AI isn’t just about one thing. You’ve got to look at what your project really needs, how fast and efficient the language is, whether there are good tools and libraries available, how supportive the community is, and if this choice will still make sense down the road as AI technology evolves.
总而言之，为人工智能选择合适的编程语言并非只看一个方面。你必须考虑你的项目真正需要什么，这种语言的速度和效率如何，是否有好的工具和库可用，社区的支持程度如何，以及随着人工智能技术的发展，这个选择在未来是否仍然合理。

It’s about checking all these boxes so that the language you go with fits your project like a glove, both now and in the future.
关键在于满足所有这些条件，以便你选择的语言无论在现在还是将来都能完美适配你的项目。