Python package built to ease deep learning on graph, on top of existing DL frameworks. dgl.ai Topics deep-learninggraph-neural-networks Resources Readme License Apache-2.0 license Activity Custom properties Star
In our repository, we use Tox to automate testing and building our Python package across various environments and versions. Configured through the pyproject.toml file, Tox is set up with four testing environments: py, integration, spark, and all. Each environment targets specific test categories or...
download_url = 'https://github.com/Yiguan/Cookie2Dict/archive/master.zip', keywords = ['Cookie', 'Dictionary'], # Keywords that define your package best install_requires=[], classifiers=[ 'Development Status :: 3 - Alpha', # Chose either "3 - Alpha", "4 - Beta" or "5 - Product...
name:Pythonpackageon:[push]jobs:build:runs-on:ubuntu-lateststrategy:matrix:python-version:["pypy3.10","3.9","3.10","3.11","3.12","3.13"]steps:-uses:actions/checkout@v4-name:SetupPython${{matrix.python-version}}uses:actions/setup-python@v5with:python-version:${{matrix.python-version}}# Yo...
我猜许多人都知道并且喜爱 pip（Python的包安装工具）。使用 pip 从 Python Package Index和其他仓库（...
python -m tox py To run the tests across a variety of linux distributions (depends on Docker): ./test/run_all_docker_test.sh libmagic python API compatibility The python bindings shipped with libmagic use a module name that conflicts with this package. To work around this, python-magic incl...
1、awesome-python-webapp:廖老师的 Python 入门教程中的实践项目的代码 2、Minos:一个基于 Tornado/MongoDB/Redis的社区系统 3、tushare:TuShare 是一个免费、开源的 Python 财经数据接口包,TuShare 文档 4、beijing_bus:北京实时公交,可以显示查询的公交到达某站还需多久 ...
根据Stackoverflow的数据,Python是最受欢迎的语言,这意味着大多数开发人员使用python。 Python是GitHub第二受欢迎的语言,也是机器学习最受欢迎的语言。 Top Python Interview Questions and Answers for Freshers in 2020 2020年应届生Python面试题及答案大全
Python 有非常丰富的第三方库可以使用,很多开发者会向 pypi 上提交自己的 Python 包。要想向 pypi 包仓库提交自己开发的包,首先要将自己的代码打包,才能上传分发。 一、distutils 简介 distutils 是标准库中负责建立 Python 第三方库的安装器,使用它能够进行 Python 模块的安装和发布。distutils 对于简单的分发很有...
PyTorch is a Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. ...