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并不知道你要干啥 。

給你個簡單的例子：

import subprocess
import psutil
import time

# 不要使用shell=True, 因為pid是主shell的，而不是子shell
child = subprocess.Popen("Notepad.exe")
time.sleep(5)
p = psutil.Process(child.pid)

p.terminate()

在打開和寫入文件時，寫明編碼格式即可
encoding='utf8'

data=open("cardno.txt",encoding= 'utf8')
result=open("result.txt","w",encoding= 'utf8') #指定文件的編碼格式

rxjs下面有一個依賴包沒有找到，試試先把這個引進去：
import {BehaviorSubject} from 'rxjs/BehaviorSubject';

while 的判斷條件是語句，你提供判斷條件的是字符串 "flag<10"，因為不是空字符串 "" ，所以條件的值一直是 True，進入死循環(huán)。
可修改邏輯如下：

choose = int(input("Type: "))
if choose == 1:
    flag = 1
else:
    flag = ((choose - 1) * 20 - 10) + 1

floor = flag - 1
limit = flag + 10 - 1

while flag > floor and flag < limit:
    print(flag)
    flag += 1

效果如下：

以頂層腳本運行時，模塊名字會被設(shè)置為__main__，所以if name == '__main__':塊中的內(nèi)容自然是主線程。
你并沒有對IO輸出加鎖，所以print打出來的結(jié)果是什么樣子都有可能。和Python版本沒關(guān)系

建議參考 ecshop中的表設(shè)計

Unable to locate element: {"method":"id","selector":"kw"}

無法定位元素

你說的是錨點，參考：

https://www.cnblogs.com/heiniuhaha/archive/2011/11/23/2260201.html

找到問題了。是我代碼寫的有問題，沒有理解透徹tornado的異步。只要將延時操作做成異步的，就解決了這個問題。

http://blog.csdn.net/jclian91...

https://stackoverflow.com/que...

這變化也忒快了吧。連問題的題目都變了

這是原題目的回答，多對多關(guān)系。

這是我設(shè)置的一個博客文章與tag多對多關(guān)系的模型，希望對你有所幫助。

class TagSpaces(db.Model):
    """多對多關(guān)系表"""
    __tablename__ = 'tag_spaces'
    tag_id = db.Column(db.Integer, db.ForeignKey('tags.id'), primary_key=True)
    article_id = db.Column(db.Integer, db.ForeignKey('articles.id'), primary_key=True)
    timestamp = db.Column(db.DateTime, default=datetime.utcnow)

class Tag(db.Model):
    """tag表"""
    __tablename__ = 'tags'
    id = db.Column(db.Integer, primary_key=True)
    name = db.Column(db.String(64), unique=True, index=True)
    tagged = db.relationship('TagSpaces',
                             foreign_keys=[TagSpaces.tag_id],
                             backref=db.backref('tagged', lazy='joined'),
                             lazy='dynamic',
                             cascade='all, delete-orphan')

    def __repr__(self):
        return '<Name %r>' % self.name

class Article(db.Model):
    """article 表"""
    __tablename__ = 'articles'
    id = db.Column(db.Integer, primary_key=True)
    title = db.Column(db.String(64), index=True)
    body = db.Column(db.Text)
    
    ......
    ......    
    ......
    
    tags = db.relationship('TagSpaces',
                           foreign_keys=[TagSpaces.article_id],
                           backref=db.backref('tags', lazy='joined'),
                           lazy='dynamic',
                           cascade='all, delete-orphan')

    def tag(self, tag):
    """寫文章的時候，直接往TagSpaces關(guān)聯(lián)表里添加需要關(guān)聯(lián)的 tag 標(biāo)簽"""
        if not self.is_tagging(tag):
            t = TagSpaces(tags=self, tagged=tag)
            db.session.add(t)

    def untag(self, tag):
    """從TagSpaces關(guān)聯(lián)表里刪除相關(guān)標(biāo)簽"""
        f = self.tags.filter_by(tag_id=tag.id).first()
        if f:
            db.session.delete(f)

    def is_tagging(self, tag):
    """判斷相關(guān)標(biāo)簽是否與文章進行了關(guān)聯(lián)"""
        return self.tags.filter_by(tag_id=tag.id).first() is not None
    
    @property
    def taggeds(self):
    """以article類屬性的形式，返回文章的tag標(biāo)簽實例"""
        return Tag.query.join(TagSpaces, TagSpaces.tag_id == Tag.id).filter(TagSpaces.article_id == self.id)
    

article = Article.query.get(1) # 查詢一篇文章，返回一個實例對象
print article.taggeds # 返回該篇文章關(guān)聯(lián)的所有 tag 標(biāo)簽的實例對象。
for tag in article.taggeds:
    print tag.name
    # 循環(huán)返回所有的標(biāo)簽的名稱

或者，你可以看看我的博客項目 —— https://github.com/eastossifrage/pyblog/blob/master/app/models.py

試試from .models import Product
ps:在sf提問最好貼代碼吧

補充：從圖片中的traceback可以看出from models import Product 這一行中的models 并不是app 中的models ，所以這里要指明用哪個models

答案中的.models 表明我需要的在當(dāng)前目錄下models

不好，python 中有 classmethod 和 staticmethod 兩個裝飾器。

簡單來說，被 classmethod 裝飾的方法是類似于 __init__() 的構(gòu)造器（這里寫錯誤了，請查看評論），因為 python 里沒有構(gòu)造器重載，按照約定，它返回一個類的實例。

上面這一句重整理一下，改正錯誤，感謝 @起風(fēng)了 指正：classmathod 裝飾器的典型場景之一是被裝飾的方法作為備選構(gòu)造器，這種場景下它返回一個本類的實例。
而 staticmethod 才是類似于 java 中類的靜態(tài)方法。

你要說全用 staticmethod，我可以理解為是一個工具類，那這種寫法風(fēng)格可以直接變?yōu)榉胖迷?module 下的方法。
但全用 classmethod，這個用意太特殊了，全部的方法都是生成這個類的實例，而沒有對應(yīng)的實例的操作方法。你要想好是不是適用于你要處理的場景。

（答案被踩了一下，還是請給個賜教，非常感謝）

1. 關(guān)于 pyo 優(yōu)化:

參考鏈接

• When the Python interpreter is invoked with the -O flag, optimized code is generated and stored in .pyo files. The optimizer currently doesn't help much; it only removes assert statements. When -O is used, all bytecode is optimized; .pyc files are ignored and .py files are compiled to optimized bytecode.
• Passing two -O flags to the Python interpreter (-OO) will cause the bytecode compiler to perform optimizations that could in some rare cases result in malfunctioning programs. Currently only __doc__ strings are removed from the bytecode, resulting in more compact .pyo files. Since some programs may rely on having these available, you should only use this option if you know what you're doing.
• Your program doesn't run any faster when it is read from a .pyc or .pyo file than when it is read from a .py file; the only thing that's faster about .pyc or .pyo files is the speed with which they are loaded.
• When a script is run by giving its name on the command line, the bytecode for the script is never written to a .pyc or .pyo file. Thus, the startup time of a script may be reduced by moving most of its code to a module and having a small bootstrap script that imports that module. It is also possible to name a .pyc or .pyo file directly on the command line.

2. 關(guān)于 pyd:

pyd 可以理解為 Windows DLL 文件。

參考鏈接

• Yes, .pyd files are dll’s, but there are a few differences. If you have a DLL named foo.pyd, then it must have a function PyInit_foo(). You can then write Python "import foo", and Python will search for foo.pyd (as well as foo.py, foo.pyc) and if it finds it, will attempt to call PyInit_foo() to initialize it. You do not link your .exe with foo.lib, as that would cause Windows to require the DLL to be present.
• Note that the search path for foo.pyd is PYTHONPATH, not the same as the path that Windows uses to search for foo.dll. Also, foo.pyd need not be present to run your program, whereas if you linked your program with a dll, the dll is required. Of course, foo.pyd is required if you want to say import foo. In a DLL, linkage is declared in the source code with __declspec(dllexport). In a .pyd, linkage is defined in a list of available functions.

match1 = {'$match': {'regDate': regDate}}
lookup = {'$lookup':
              {
                  'from': 'recharge',
                  'localField': '_id',
                  'foreignField': 'uid',
                  'as': 'recharge'
              }
          }
project = {'$project':
               {
                   '_id': 1,
                   'regDate': 1,
                   'recharge.from': 1,
                   'recharge.rechargeDate': 1,
               }
        }
match2 = {'$match': {'recharge.from': 'weixin'}}
match3 = {'$match': {'recharge.from': 'alipay'}}
match4 = {'$match': {'recharge.rechargeDate': {'$gte': starttime, '$lt': endtime}}}
pipeline = [match1, lookup, project, match2, match3, match4]
result = collection_users.aggregate(pipeline)
a = 0
for i in result:
    a=a+1
pprint.pprint(a)

沒用過 element ui。把 當(dāng)前的狀態(tài)保存一下就好了啊，active-index 放到 data 里保存。我看有 default-active 屬性，賦給它就好了吧。無論什么 libary，處理的方式大同小異。

In the current implementation apply calls func twice on the first column/row to decide whether it can take a fast or slow code path. This can lead to unexpected behavior if func has side-effects, as they will take effect twice for the first column/row.

refer: http://pandas.pydata.org/pand...

sql to sqlachemy 項目，你值得看看