Python 实用宝典

用于解释数学视频的动画引擎 · 这个

$ sudo python2 `which mn`

from my_lib import Object
import os
from my_lib import Object3
from my_lib import Object2
import sys
from third_party import lib15, lib1, lib2, lib3, lib4, lib5, lib6, lib7, lib8, lib9, lib10, lib11, lib12, lib13, lib14
import sys
from __future__ import absolute_import
from third_party import lib3
print("Hey")
print("yo")
from __future__ import absolute_import import os
import sys from third_party import (lib1, lib2, lib3, lib4, lib5, lib6, lib7, lib8,
                        lib9, lib10, lib11, lib12, lib13, lib14, lib15)

from my_lib import Object, Object2, Object3 
print("Hey")
print("yo")
pip install isort
pip install isort[requirements_deprecated_finder]
pip install isort[pipfile_deprecated_finder]
pip install isort[requirements_deprecated_finder,pipfile_deprecated_finder]
isort mypythonfile.py mypythonfile2.py
isort .
isort **/*.py
isort mypythonfile.py --diff
isort --atomic .
"    "
from __future__ import (absolute_import, division,
                        print_function, unicode_literals)
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)
import module  # isort:skip
from xyz import (abc,  # isort:skip
                 yo,
                 hey)
""" my_module.py
    Best module ever

   isort:skip_file
"""

import b
import a
isort **/*.py -c -v

SUCCESS: /home/timothy/Projects/Open_Source/isort/isort_kate_plugin.py Everything Looks Good!
ERROR: /home/timothy/Projects/Open_Source/isort/isort/isort.py Imports are incorrectly sorted.
[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
.. image:: https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336
    :target: https://pycqa.github.io/isort/
$ git clone https://github.com/dataabc/weiboSpider.git
$ cd weiboSpider
$ pip install -r requirements.txt
$ python3 -m pip install weibo-spider
$ python3 -m weibo_spider
$ python3 -m weibo_spider --config_path="config.json"
$ python3 -m weibo_spider --output_dir="/home/weibo/"
$ python3 -m weibo_spider --u="1669879400,1223178222"
        config = get_config()
        wb = Spider(config)
        wb.start()  # 爬取微博信息
# helloworld.py

from nameko.rpc import rpc

class GreetingService:
    name = "greeting_service"

    @rpc
    def hello(self, name):
        return "Hello, {}!".format(name)
$ nameko run helloworld
starting services: greeting_service
...
$ nameko shell
>>> n.rpc.greeting_service.hello(name="ナメコ")
'Hello, ナメコ!'
pip3 install visidata

pip3 install git+https://github.com/saulpw/visidata.git@develop

$ vd <input>
$ <command> | vd

pip install manim
from manim import *


class SquareToCircle(Scene):
    def construct(self):
        circle = Circle()
        square = Square()
        square.flip(RIGHT)
        square.rotate(-3 * TAU / 8)
        circle.set_fill(PINK, opacity=0.5)

        self.play(Create(square))
        self.play(Transform(square, circle))
        self.play(FadeOut(square))
manim -p -ql example.py SquareToCircle
docker run --rm -it  --user="$(id -u):$(id -g)" -v "$(pwd)":/manim manimcommunity/manim manim test_scenes.py CircleToSquare -qm

docker run -it --name my-manim-container -v "$(pwd):/manim" manimcommunity/manim /bin/bash

docker start my-manim-container

docker exec -it --user="$(id -u):$(id -g)" my-manim-container manim test.py CircleToSquare -qm

docker run -it -p 8888:8888 manimcommunity/manim jupyter lab --ip=0.0.0.0

@Manual{Manim:v0.9.0,
  key =          {Manim},
  author =       {{The Manim Community Developers}},
  title =        {{Manim} -- {M}athematical {A}nimation {F}ramework ({V}ersion v0.9.0)},
  note =         {\url{https://www.manim.community}},
  year =         2021,
}

wget -P ~ https://git.io/.gdbinit

pip install pygments

import numpy as np
from jina import Document, DocumentArray, Executor, Flow, requests

class CharEmbed(Executor):  # a simple character embedding with mean-pooling
    offset = 32  # letter `a`
    dim = 127 - offset + 1  # last pos reserved for `UNK`
    char_embd = np.eye(dim) * 1  # one-hot embedding for all chars

    @requests
    def foo(self, docs: DocumentArray, **kwargs):
        for d in docs:
            r_emb = [ord(c) - self.offset if self.offset <= ord(c) <= 127 else (self.dim - 1) for c in d.text]
            d.embedding = self.char_embd[r_emb, :].mean(axis=0)  # average pooling

class Indexer(Executor):
    _docs = DocumentArray()  # for storing all documents in memory

    @requests(on='/index')
    def foo(self, docs: DocumentArray, **kwargs):
        self._docs.extend(docs)  # extend stored `docs`

    @requests(on='/search')
    def bar(self, docs: DocumentArray, **kwargs):
        q = np.stack(docs.get_attributes('embedding'))  # get all embeddings from query docs
        d = np.stack(self._docs.get_attributes('embedding'))  # get all embeddings from stored docs
        euclidean_dist = np.linalg.norm(q[:, None, :] - d[None, :, :], axis=-1)  # pairwise euclidean distance
        for dist, query in zip(euclidean_dist, docs):  # add & sort match
            query.matches = [Document(self._docs[int(idx)], copy=True, scores={'euclid': d}) for idx, d in enumerate(dist)]
            query.matches.sort(key=lambda m: m.scores['euclid'].value)  # sort matches by their values

f = Flow(port_expose=12345, protocol='http', cors=True).add(uses=CharEmbed, parallel=2).add(uses=Indexer)  # build a Flow, with 2 parallel CharEmbed, tho unnecessary
with f:
    f.post('/index', (Document(text=t.strip()) for t in open(__file__) if t.strip()))  # index all lines of _this_ file
    f.block()  # block for listening request
{"data": [{"text": "@requests(on=something)"}]}
from jina import Client, Document
from jina.types.request import Response


def print_matches(resp: Response):  # the callback function invoked when task is done
    for idx, d in enumerate(resp.docs[0].matches[:3]):  # print top-3 matches
        print(f'[{idx}]{d.scores["euclid"].value:2f}: "{d.text}"')


c = Client(protocol='http', port_expose=12345)  # connect to localhost:12345
c.post('/search', Document(text='request(on=something)'), on_done=print_matches)
         Client@1608[S]:connected to the gateway at localhost:12345!
[0]0.168526: "@requests(on='/index')"
[1]0.181676: "@requests(on='/search')"
[2]0.192049: "query.matches = [Document(self._docs[int(idx)], copy=True, score=d) for idx, d in enumerate(dist)]"

$ redis-server
import requests

def count_words_at_url(url):
    """Just an example function that's called async."""
    resp = requests.get(url)
    return len(resp.text.split())
from redis import Redis
from rq import Queue

queue = Queue(connection=Redis())
from my_module import count_words_at_url
job = queue.enqueue(count_words_at_url, 'http://nvie.com')
# Schedule job to run at 9:15, October 10th
job = queue.enqueue_at(datetime(2019, 10, 8, 9, 15), say_hello)

# Schedule job to run in 10 seconds
job = queue.enqueue_in(timedelta(seconds=10), say_hello)
from rq import Retry

# Retry up to 3 times, failed job will be requeued immediately
queue.enqueue(say_hello, retry=Retry(max=3))

# Retry up to 3 times, with configurable intervals between retries
queue.enqueue(say_hello, retry=Retry(max=3, interval=[10, 30, 60]))
$ rq worker --with-scheduler
*** Listening for work on default
Got count_words_at_url('http://nvie.com') from default
Job result = 818
*** Listening for work on default
pip install rq

pip install git+https://github.com/nvie/rq.git@master#egg=rq

x86/64、arm64、v6、v7	Linux/MacOS和Python 3.7/3.8/3.9	Docker用户
最低要求 _{(不支持HTTP、WebSocket、Docker)}	`pip install jina`	`docker run jinaai/jina:latest`
_Daemon	_{pip install "jina[daemon]"}	_{docker run --network=host jinaai/jina:latest-daemon}
_{使用附加服务}	_{pip install "jina[devel]"}	_{docker run jinaai/jina:latest-devel}

什么是Mininet？

它怎麽工作?

功能

Python 3支持

其他增强功能和信息

安装

文档

支持

加入我们吧

享受Mininet吧

安装isort

使用isort

为您首选的文本编辑器安装isort

多行输出模式

压痕

智能平衡多行导入

自定义节和排序

跳过导入处理(配置之外)

从多个文件添加或删除导入

使用isort验证代码

这个--check-only选项

Git钩子

Setuptools集成

把消息传出去

安全联系信息

为什么是伊索尔？

内容列表

获取到的字段

用户信息

微博信息

示例

运行环境

使用说明

0。版本

1.安装程序

源码安装

PiP安装

2.程序设置

3.运行程序

(个性化定制程序(可选)

(定期自动爬取微博(可选)

如何获取Cookie

用户ID(如何获取_id)

常见问题

学术研究

相关项目

贡献

贡献者

注意事项

功能

快速入门

支持

对于企业而言

安全联系信息

贡献力量

许可证

引言

文档

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行为规范

许可证

平台要求

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用法

文档

帮助和支持

许可证

学分

目录：

安装

用法

命令行参数

文档

码头工人

运行坞站映像的说明

快速示例

在后台运行图像

木星实验室

重要说明

这个`--check-only`选项