Is Python an interpreted language? Will it compile?
This question is not as easy to answer as imagined. Like many people who understand the world, they are used to judging some things based on a simple model. In fact, it contains many, many details.
Generally speaking, Compilation represents converting a high-level language into machine code that can be executed by the CPU. When you compile C, this is exactly what you do. The result of compilation is a binary executable file, and your system can run this program directly.
In contrast, the meaning of explanation is this: when the program is running, it reads one line of code in the source file each time, and performs the corresponding operation, and repeats it line by line. . Of course, this is how so-called scripting languages work.
In Python, source code is compiled into a lower-level form, which we call bytecode. Bytecode is a sequence of instructions, similar to a CPU's instruction set. But the bytecode is not executed directly by the CPU, but in the virtual machine. Of course, the virtual machine here does not imitate the entire operating system environment, but only provides an environment for bytecode execution.
Python also has an important feature, which is the interactive command line. You can type a line of Python statement and press Enter immediately to execute it. In fact, even in this process, Python is first converted into bytecode and then executed. This interactive command line feature is not available in many compiled languages. Also because there is no explicit call to the compiler, many people call the program that executes Python source files a Python interpreter. Even though it is relatively simple, I still want to add it. Some compiled languages such as C or JAVA also have interactive command lines, but these are not the focus of these languages. JAVA was first compiled into bytecode and then executed. Later, with just-in-time compilation technology (JIT), it can be directly compiled into machine code, similar to C.
As can be seen from the above description, interpretation and compilation cannot be completely separated. Many times, we want to use some words to classify existing programming languages, but in fact it is too difficult to do this.
The reason why Python is called an interpreted language is because it does not explicitly call compilation operations and shows more interpreted characteristics. But in fact, compilation exists. How to compile it depends on the implementation of the language, that is, the design of the interpreter.
The above is the detailed content of Is python an interpreted language?. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools