Examples of using Python interpreter in English and their translations into Korean
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Programming
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Computer
The Python Interpreter.
For now it is mostly used in the python interpreter.
Built in Python interpreter, QT and PySide!
We have already worked with interactive mode Python interpreter.
Install the Python interpreter as explained here.
These host applications have a non-QT UI but contain a Python interpreter.
Make sure that the Python interpreter can load Django's code.
Ve been running our programs one line at a time in the Python interpreter. We'
You can also start the Python interpreter using any of the following commands.
Probably the best tool for running your tests under multiple Python interpreters is tox.
When it is not handled, the Python interpreter exits; no stack traceback is printed.
One way to think about it is that each process runs in its own Python interpreter.
If no script name was passed to the Python interpreter, argv[0] is the empty string.
Python Interpreter Path: Set Python Interpreter Path for Django build.
A simple verification in your Python interpreter would show that factorial(5) gives you 120.
Thus, invoking pydoc spam documents precisely the version of the module you would get if you started the Python interpreter and typed import spam.
This is also known as the Python Interpreter or a REPL(for'Read Evaluate Print Loop').
(It appears to be a Python implementation detail beyond the control of PL/Python that some of theenvironment variables listed on the python man page are only effective in a command-line interpreter and not an embedded Python interpreter.).
At the time of writing this document the current version of the Python interpreter software is version 2.3.4.
On Windows this comes with the Python interpreter, but in other operating systems you may need to install it through your package manager.
The namespace containing the built-in names is created when the Python interpreter starts up, and is never deleted.
These cloud-based Python interpreters may not be able to execute some of the more complex examples in this tutorial, but they will be adequate for running most of the simpler ones and may be a nice way to get you started.
Some of the environment variables that are accepted by the Python interpreter can also be used to affect PL/Python behavior.
The modules described in this chapter provide a wide range of services related to the Python interpreter and its interaction with its environment.
For C or C++ programmers,two additional manuals exist: Extending and Embedding the Python Interpreter describes the high-level picture of how to write a Python extension module, and the Python/C API Reference Manual describes the interfaces available to C/C++ programmers in detail.
To write extensions in C or C++, read Extending and Embedding the Python Interpreter and Python/C API Reference.
Assuming you now have Tasker, SL4A and the Python interpreter installed lets create the Profiles and Tasks that will do the work.
Be sure to try the following in a newly-started Python interpreter, and don't just continue from the session described above.
Like in the section about the very high level interface, the Python interpreter does not directly interact with the application(but that will change in the next section).
What is the Python Global Interpreter Lock(GIL)?