Python 实用宝典

各种图元(多边形、矩形、圆、直线和点) · 视觉图表

bash <(wget -qO- https://git.io/vAtmB)
bash <(wget -qO- https://git.io/vAtmB)
docker-compose build
docker-compose up -d
docker-compose exec fsociety fsociety
docker-compose down # destroys instance
from datetime import datetime
import backtrader as bt

class SmaCross(bt.SignalStrategy):
    def __init__(self):
        sma1, sma2 = bt.ind.SMA(period=10), bt.ind.SMA(period=30)
        crossover = bt.ind.CrossOver(sma1, sma2)
        self.signal_add(bt.SIGNAL_LONG, crossover)

cerebro = bt.Cerebro()
cerebro.addstrategy(SmaCross)

data0 = bt.feeds.YahooFinanceData(dataname='MSFT', fromdate=datetime(2011, 1, 1),
                                  todate=datetime(2012, 12, 31))
cerebro.adddata(data0)

cerebro.run()
cerebro.plot()

pip install git+https://github.com/blampe/IbPy.git

pip install https://github.com/blampe/IbPy/archive/master.zip

from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel

class User(BaseModel):
    id: int
    name = 'John Doe'
    signup_ts: Optional[datetime] = None
    friends: List[int] = []

external_data = {'id': '123', 'signup_ts': '2017-06-01 12:22', 'friends': [1, '2', b'3']}
user = User(**external_data)
print(user)
#> User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3]
print(user.id)
#> 123
# python2
conda create --name=labelme python=2.7
source activate labelme
# conda install -c conda-forge pyside2
conda install pyqt
pip install labelme
# if you'd like to use the latest version. run below:
# pip install git+https://github.com/wkentaro/labelme.git

# python3
conda create --name=labelme python=3.6
source activate labelme
# conda install -c conda-forge pyside2
# conda install pyqt
# pip install pyqt5  # pyqt5 can be installed via pip on python3
pip install labelme
# or you can install everything by conda command
# conda install labelme -c conda-forge
# on macOS
socat TCP-LISTEN:6000,reuseaddr,fork UNIX-CLIENT:\"$DISPLAY\" &
docker run -it -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=docker.for.mac.host.internal:0 -v $(pwd):/root/workdir wkentaro/labelme

# on Linux
xhost +
docker run -it -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=:0 -v $(pwd):/root/workdir wkentaro/labelme
# Ubuntu 14.04 / Ubuntu 16.04
# Python2
# sudo apt-get install python-qt4  # PyQt4
sudo apt-get install python-pyqt5  # PyQt5
sudo pip install labelme
# Python3
sudo apt-get install python3-pyqt5  # PyQt5
sudo pip3 install labelme

# or install standalone executable from:
# https://github.com/wkentaro/labelme/releases
sudo apt-get install labelme
# macOS Sierra
brew install pyqt  # maybe pyqt5
pip install labelme  # both python2/3 should work

# or install standalone executable/app from:
# https://github.com/wkentaro/labelme/releases
# python3
conda create --name=labelme python=3.6
conda activate labelme
pip install labelme
labelme  # just open gui

# tutorial (single image example)
cd examples/tutorial
labelme apc2016_obj3.jpg  # specify image file
labelme apc2016_obj3.jpg -O apc2016_obj3.json  # close window after the save
labelme apc2016_obj3.jpg --nodata  # not include image data but relative image path in JSON file
labelme apc2016_obj3.jpg \
  --labels highland_6539_self_stick_notes,mead_index_cards,kong_air_dog_squeakair_tennis_ball  # specify label list

# semantic segmentation example
cd examples/semantic_segmentation
labelme data_annotated/  # Open directory to annotate all images in it
labelme data_annotated/ --labels labels.txt  # specify label list with a file
pip install hacking pytest pytest-qt
flake8 .
pytest -v tests
git clone https://github.com/wkentaro/labelme.git
cd labelme

# Install anaconda3 and labelme
curl -L https://github.com/wkentaro/dotfiles/raw/master/local/bin/install_anaconda3.sh | bash -s .
source .anaconda3/bin/activate
pip install -e .
# Setup conda
conda create --name labelme python==3.6.0
conda activate labelme

# Build the standalone executable
pip install .
pip install pyinstaller
pyinstaller labelme.spec
dist/labelme --version
pip install black hacking pytest pytest-qt

flake8 .
black --line-length 79 --check labelme/
MPLBACKEND='agg' pytest tests/ -m 'not gpu'
@misc{labelme2016,
  author =       {Kentaro Wada},
  title =        {{labelme: Image Polygonal Annotation with Python}},
  howpublished = {\url{https://github.com/wkentaro/labelme}},
  year =         {2016}
}
pip install pyro-ppl
git clone git@github.com:pyro-ppl/pyro.git
cd pyro
git checkout master  # master is pinned to the latest release
pip install .
pip install pyro-ppl[extras]
pip install git+https://github.com/pyro-ppl/pyro.git
pip install git+https://github.com/pyro-ppl/pyro.git#egg=project[extras]
git clone https://github.com/pyro-ppl/pyro
cd pyro
pip install .  # pip install .[extras] for running models in examples/tutorials
@article{bingham2019pyro,
  author    = {Eli Bingham and
               Jonathan P. Chen and
               Martin Jankowiak and
               Fritz Obermeyer and
               Neeraj Pradhan and
               Theofanis Karaletsos and
               Rohit Singh and
               Paul A. Szerlip and
               Paul Horsfall and
               Noah D. Goodman},
  title     = {Pyro: Deep Universal Probabilistic Programming},
  journal   = {J. Mach. Learn. Res.},
  volume    = {20},
  pages     = {28:1--28:6},
  year      = {2019},
  url       = {http://jmlr.org/papers/v20/18-403.html}
}

fSociety包含了“机器人先生”系列中使用的所有工具

菜单

信息收集：

密码攻击：

无线测试：

开发工具：

嗅探和欺骗：

网络黑客：

私人网络黑客攻击：

后剥削：

安装

安装

Docker用法<img decoding="async" src="https://camo.githubusercontent.com/3b32f1160b7c18b4534d72a598ff545373b8f4f98ae571ad02cef11d74b4d203/68747470733a2f2f706e672e69636f6e73382e636f6d2f636f6c6f722f35302f3030303030302f646f636b65722e706e67" alt="docker logo" width="474" height="400">

依赖关系

屏幕截图

贡献者

许可证

宇宙飞船生成器

用法

它是如何工作的

极端的例子

小贴士和小窍门

学分

功能：

文档

Python 2/3支持

安装

版本编号

帮助

安装

一个简单的例子

贡献

报告安全漏洞

功能

要求

安装

python

码头工人

Ubuntu

Ubuntu 19.10+/debian(Sid)

MacOS

窗口

用法

命令行参数

常见问题解答

测试

发展中的

如何构建独立的可执行文件

如何做出贡献

确认

引用此项目

下载次数

文档和获取帮助

贡献/错误

要求

捐赠

赞助商

作者

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pdf.js

WebShell|English

在扩展一个项目

其他Webshell项目(更新2021-04-03)

顺便在推一波网站管理工具

下载链接

<img decoding="async" src="https://raw.githubusercontent.com/tennc/webshell/master/jetbrains.png" width="200" height="400">感谢Jetbrains

正在安装

安装稳定的Pyro版本

安装Pyro dev分支

从Docker容器运行Pyro

引文

<img loading="lazy" decoding="async" src="https://raw.githubusercontent.com/lbryio/lbry-sdk/master/lbry.png" alt="LBRY" width="48" height="36">LBRY SDK

安装

用法

从源运行

贡献

许可证

Docker用法

感谢Jetbrains

LBRY SDK