Compiled python file




















There is no such thing as an interpreted language. Whether an interpreter or a compiler is used is purely a trait of the implementation and has absolutely nothing whatsoever to do with the language. Every language can be implemented by either an interpreter or a compiler.

The vast majority of languages have at least one implementation of each type. Besides, the majority of modern language implementations actually combine both an interpreter and a compiler or even multiple compilers. A language is just a set of abstract mathematical rules. An interpreter is one of several concrete implementation strategies for a language. Those two live on completely different abstraction levels.

If English were a typed language, the term "interpreted language" would be a type error. The statement "Python is an interpreted language" is not just false because being false would imply that the statement even makes sense, even if it is wrong , it just plain doesn't make sense , because a language can never be defined as "interpreted.

In particular, if you look at the currently existing Python implementations, these are the implementation strategies they are using:. You might notice that every single one of the implementations in that list plus some others I didn't mention, like tinypy, Shedskin or Psyco has a compiler.

In fact, as far as I know, there is currently no Python implementation which is purely interpreted, there is no such implementation planned and there never has been such an implementation. Not only does the term "interpreted language" not make sense, even if you interpret it as meaning "language with interpreted implementation", it is clearly not true.

Whoever told you that, obviously doesn't know what he is talking about. In particular, the. These are created by the Python interpreter when a. But it's still interpreted. CPython compiles its source code into "byte code", and for performance reasons, it caches this byte code on the file system whenever the source file has changes.

This makes loading of Python modules much faster because the compilation phase can be bypassed. When your source file is foo. In python3, Python's import machinery is extended to write and search for byte code cache files in a single directory inside every Python package directory. Python automatically compiles your script to compiled code, so called byte code, before running it. For example, if you have a script file abc. If you need to create a. This will write the.

You can also automatically compile all files in a directory or directories using the compileall module. If the directory name the current directory in this example is omitted, the module compiles everything found on sys.

Python at least the most common implementation of it follows a pattern of compiling the original source to byte codes, then interpreting the byte codes on a virtual machine. This means again, the most common implementation is neither a pure interpreter nor a pure compiler. The other side of this is, however, that the compilation process is mostly hidden -- the.

About the only time I've seen a problem with this was when a compiled bytecode file somehow got a timestamp well into the future, which meant it always looked newer than the source file. Since it looked newer, the source file was never recompiled, so no matter what changes you made, they were ignored When you try to execute this file using say "python filename.

This command invokes Python Virtual Machine. Python Virtual Machine has 2 components: "compiler" and "interpreter". PVM executes this byte code. So here are the stages preceding execution:. Instructions to be executed on CPU are given in machine code. Machine code can be executed directly by CPU. Now the actual plot. There are two approaches when carrying any of these stages: convert [or execute] a code all at once aka compile and convert [or execute] the code line by line aka interpret.

For example, we could compile a source code to bytcoe, compile bytecode to machine code, interpret machine code for execution. Some implementations of languages skip stage 3 for efficiency, i. JAVA for example, compile source code to bytcode [that is how JAVA source is stored, as a bytcode], compile bytcode to machine code [using JVM], and interpret machine code for execution. Python for example, compile source code to bytcode [usually found as.

A confusion might occur because of the third stage, that's converting bytcode to machine code. Often this is done using a software called a virtual machine. The confusion occurs because a virtual machine acts like a machine, but it's actually not!

Virtual machines are introduced for portability, having a VM on any REAL machine will allow us to execute the same source code. The approach used in most VMs [that's the third stage] is compiling, thus some people would say it's a compiled language. For the importance of VMs, we often say that such languages are both compiled and interpreted. Python code goes through 2 stages.

First step compiles the code into. Then this. Please refer to this link. Here process of code compilation and execution is explained in easy terms. Machines don't understand English or any other languages, they understand only byte code, which they have to be compiled e.

Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Collectives on Stack Overflow. If passed once, error messages will still be printed. If passed twice -qq , all output is suppressed. Directory prepended to the path to each file being compiled. This will appear in compilation time tracebacks, and is also compiled in to the byte-code file, where it will be used in tracebacks and other messages in cases where the source file does not exist at the time the byte-code file is executed.

Remove -s or append -p the given prefix of paths recorded in the. Cannot be combined with -d. Read the file list and add each line that it contains to the list of files and directories to compile. If list is - , read lines from stdin.

Write the byte-code files to their legacy locations and names, which may overwrite byte-code files created by another version of Python. The default is to write files to their PEP locations and names, which allows byte-code files from multiple versions of Python to coexist. Control the maximum recursion level for subdirectories. If this is given, then -l option will not be taken into account. Use N workers to compile the files within the given directory.

If 0 is used, then the result of os. Control how the generated byte-code files are invalidated at runtime. The timestamp value, means that. The checked-hash and unchecked-hash values cause hash-based pycs to be generated. Hash-based pycs embed a hash of the source file contents rather than a timestamp. See Cached bytecode invalidation for more information on how Python validates bytecode cache files at runtime.

Compile with the given optimization level. May be used multiple times to compile for multiple levels at a time for example, compileall -o 1 -o 2. If two. Changed in version 3. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Learn more. How to compile a python file? Ask Question. Asked 8 years, 5 months ago. Active 2 years ago. Viewed k times. I have tried with the command python "hello. Improve this question.

Bharath Lakshman Bharath Lakshman 1 1 gold badge 7 7 silver badges 3 3 bronze badges. Add a comment. Active Oldest Votes. Improve this answer.

Yamaho Yamaho 3, 2 2 gold badges 15 15 silver badges 17 17 bronze badges. That's not compilation, that's transliteration to some other representation of the python language.

You still need the python interpreter to run this. In case anyone else thinks "oh that was a surprisingly easy answer! Python is an interpreted language, and you can run the scripts directly, either using: python hello.



0コメント

  • 1000 / 1000