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The Python Distribution Utilities (distutils) Python module was first added to the Python standard library in the 1.6.1 release, in September 2000, and in the 2.0 release, in October 2000, nine years after the first Python release in February 1991, with the goal of simplifying the process of installing third-party Python packages.
This method requires the Python project to have the following file structure: example_project/ ├── exampleproject/ Python package with source code. | ├── __init__.py Make the folder a package. | └── example.py Example module. └── README.md README with info of the project.
MicroPython consists of a Python compiler to bytecode and a runtime interpreter of that bytecode. The user is presented with an interactive prompt (the REPL) to execute supported commands immediately. Included are a selection of core Python libraries; MicroPython includes modules which give the programmer access to low-level hardware. [4]
EasyEclipse, an open source IDE for Python and other languages. Eclipse,with the Pydev plug-in. Eclipse supports many other languages as well. Emacs, with the built-in python-mode. [1] Eric, an IDE for Python and Ruby; Geany, IDE for Python development and other languages. IDLE, a simple IDE bundled with the default implementation of the language.
Yes, many options for export, fewer options for import Yes, scripting of pages using Python and other programming languages No No Yes Yes [67] DokuWiki: Yes, plugin available Yes, RSS/Atom [68] Yes, to xml, text, html pages, LaTeX, Open doc format, pdf with plugins [69] Yes, plugin API Yes Yes Yes Yes [70]
The import address table (IAT) is used as a lookup table when the application calls a function in a different module. The imports can be specified by ordinal or by name. Because a compiled program cannot know the memory locations of its dependent libraries beforehand, an indirect jump is necessary for API calls.
Cython is a compiled language that is typically used to generate CPython extension modules. Annotated Python-like code is compiled to C and then automatically wrapped in interface code, producing extension modules that can be loaded and used by regular Python code using the import statement, but with significantly less computational overhead at ...
In Python, namespaces are defined by the individual modules, and since modules can be contained in hierarchical packages, then namespaces are hierarchical too. [ 12 ] [ 13 ] In general when a module is imported then the names defined in the module are defined via that module's namespace, and are accessed in from the calling modules by using the ...