Python documentation generator for lazy perfectionists vemel.github.io/handsdown/ Topics python annotations python3 docstring-documentation documentation-generator pep484 Resources Readme License MIT license Code of conduct Code of conduct Activity Stars 89 stars Watchers 1 watching Forks 10...
(4) chat in order to work through understanding and improving code. Examples requests include "convert this function into a Python generator", "rewrite this threaded code to instead run asynchronously", and "create unit tests for class A". Your role changes from writing code manually to ...
Upgrade code to new minimum supported Python version: 3.8 Settings support for pathlib.Path (#2758) Various improvements to Simple theme (#2976 & #3234) Use Furo as Sphinx documentation theme (#3023) Default to 100 articles … read more New Pelican Site, Docs Theme, and Discussions Thu ...
The Python Docstring Generator extension helps you generate docstrings for your Python functions and classes. It saves time by automatically generating the basic docstring template for you, which you can then fill in with the relevant information. This extension promotes good documentation practices and ...
python/name:material.extensions.emoji.twemojiemoji_generator:!!python/name:material.extensions.emoji.to_svg-pymdownx.superfences:# 代码块中支持Mermaidcustom_fences:# 支持 Mermaid-name:mermaidclass:mermaidformat:!!python/name 更多内容请前往观看视频教程...
A C code generator written in Python 3. Usage importcfileC=cfile.CFactory()code=C.sequence()code.append(C.sysinclude("stdio.h"))code.append(C.blank())char_ptr_type=C.type("char",pointer=True)code.append(C.declaration(C.function("main","int",params=[C.variable("argc","int"),C....
Python enables users to add a lot of functionality with very less boiler plate code and hence is heavily used in the Machine Learning Community. For e.g. simulating a sensor for data, vizualizing the generated output or running various ML models on the data can be easily implemented in pyt...
The documentation recommends using run() for all cases that it can handle. For edge cases where you need more control, the Popen class can be used. Popen is the underlying class for the whole subprocess module. All functions in the subprocess module are convenience wrappers around the Popen(...
append((x, y)) return {x: complicated_transform(x) for x in long_generator_function(parameter) if x is not None} squares_generator = (x**2 for x in range(10)) unique_names = {user.name for user in users if user is not None} eat(jelly_bean for jelly_bean in jelly_beans if ...
>>>list compresion会被编译成一个generator，是因为generator已经能表示iterator了，没必要在bytecode里...