pymysql

pymysql 获取插入数据的主键id

一个人想着一个人 提交于 2020-01-06 18:35:08
import pymysql database = pymysql.connect( host='127.0.0.1', port=3306, user='root', password='123', database='qiche' ) cursor = database.cursor() for i in range(5): cursor.execute('insert into test (name) values ("la")') print(database.insert_id()) database.commit() cursor.close() database.close() 通过db.insert_id()方法可以获取插入数据的主键id, 注意一定要在commit之前获取,否则返回0 来源: https://www.cnblogs.com/zhangjian0092/p/12157421.html

How to get a dictionary of data in column1 as key and column2 as the value?

自闭症网瘾萝莉.ら 提交于 2020-01-05 08:04:36
问题 This question in stack overflow answers how would one get dictionary from tables using pymysql. However, this method outputs column header as keys and its value as data in that column. Whats the best way to have actual data as keys and values? For example: Name |Age ------------- John |25 Tom |45 Tammy |18 I want {John:25, Tom:45, Tammy:18} NOT [{Name:John},{Age:25},....] This is what i have right now: def name2dict(name_list): name_list_tuple = tuple(name_list) conn = pymysql.connect() cur =

Python redis and celery too many clients, different errors on each execution | Tasks connect to MySQL using pymsql

放肆的年华 提交于 2020-01-05 07:52:26
问题 I am currently working on an app, which has to process several long running tasks. I am using python 3 , flask , celery , redis . I have a working solution on localhost, but on heroku there are many errors and every execution of the app triggers everytime a different set of errors. I know it cant be random so I am trying to figure out where to start looking. I have a feeling something must be wrong with redis and I am trying to understand what clients are and where they come from, but I am

Python redis and celery too many clients, different errors on each execution | Tasks connect to MySQL using pymsql

折月煮酒 提交于 2020-01-05 07:52:06
问题 I am currently working on an app, which has to process several long running tasks. I am using python 3 , flask , celery , redis . I have a working solution on localhost, but on heroku there are many errors and every execution of the app triggers everytime a different set of errors. I know it cant be random so I am trying to figure out where to start looking. I have a feeling something must be wrong with redis and I am trying to understand what clients are and where they come from, but I am

sqlalchemy + pymysql + gevent

喜夏-厌秋 提交于 2020-01-04 12:12:44
问题 I'm new to python but it seems like an interesting language, so I'd like to go on learning about it. I've been searching for information on this subject but I can't seem to find anny decent sources. I've installed Python3.3, Pymysql, SQLAlchemy, (Pyramid) and MySQL. Connecting to the database with pymysql works fine using this connection string. I use pymysql because I want to make asynchronous calls to the database (gevent) and I need SQLAlchemy so I can do object mapping. I'm currently

sqlalchemy + pymysql + gevent

人走茶凉 提交于 2020-01-04 12:10:08
问题 I'm new to python but it seems like an interesting language, so I'd like to go on learning about it. I've been searching for information on this subject but I can't seem to find anny decent sources. I've installed Python3.3, Pymysql, SQLAlchemy, (Pyramid) and MySQL. Connecting to the database with pymysql works fine using this connection string. I use pymysql because I want to make asynchronous calls to the database (gevent) and I need SQLAlchemy so I can do object mapping. I'm currently

python连接数据库

僤鯓⒐⒋嵵緔 提交于 2020-01-03 11:12:51
31 页 from bs4 import BeautifulSoup from collections import Counter from nltk . corpus import stopwords from nltk import LancasterStemmer import urllib . request URL = input ( "Enter a website" ) with urllib . request . urlopen ( URL ) as infile : soup = BeautifulSoup ( infile ) words = nltk . word_tokenize ( soup . text ) text = [ w . lower ( ) for w in words ] words = [ LancasterStemmer ( ) . stem ( w ) for w in text if w not in stopwords . words ( "english" ) and w . isalnum ( ) ] freqs = Counter ( words ) print ( freqs . most_common ( 10 ) ) 139 import nltk , pymysql conn = pymysql .

Django Rest_Framework

二次信任 提交于 2020-01-03 02:29:00
安装与实验 DRF需要以下依赖: Python (2.7, 3.2, 3.3, 3.4, 3.5, 3.6) Django (1.10, 1.11, 2.0) DRF是以Django扩展应用的方式提供的,所以我们可以直接利用已有的Django环境而无需从新创建。(若没有Django环境,需要先创建环境安装Django) 安装DRF 前提是已经安装了django,建议安装在python虚拟环境下 # mkvirtualenv drfdemo -p python3 # pip install django pip install djangorestframework pip install pymysql 创建django项目 cd ~/Desktop django-admin startproject drfdemo 使用pycharm打开项目,设置虚拟环境的解析器,并修改manage.py中的后缀参数。 添加rest_framework应用 在 settings.py 的 INSTALLED_APPS 中添加'rest_framework'。 INSTALLED_APPS = [ ... 'rest_framework', ] 接下来就可以使用DRF提供的功能进行api接口开发了。在项目中如果使用rest_framework框架实现API接口,主要有以下三个步骤: 将请求的数据

Python之路第十二天,高级(5)-Python操作Mysql,SqlAlchemy

与世无争的帅哥 提交于 2020-01-01 03:16:18
Mysql基础 一、安装 Windows: 1.下载 http://dev.mysql.com/get/Downloads/MySQL-5.6/mysql-5.6.31-winx64.zip 2.解压 将压缩包解压到你想要安装的位置,例如我的解压到C:\Program Files\mysql-5.6.31-winx64 3.配置环境变量 右击我的电脑-->属性-->高级系统设置-->高级-->环境变量-->系统变量-->找到Path变量-->编辑 在最后添加 ;C:\Program Files\mysql-5.6.31-winx64\bin 将bin目录添加到环境变量里面去 4. 修改配置文件 将C:\Program Files\mysql-5.6.31-winx64\my.default.int 改名为my.ini,并打开此文件修改一些配置 [mysqld] basedir= C:\Program Files\mysql-5.6.31-winx64(mysql所在目录) datadir= C:\Program Files\mysql-5.6.31-winx64\data (数据目录) 5. 将Mysql注册为服务 打开CMD(必须以管理员身份运行),然后必须进入mysql的bin目录下执行 mysqld.exe -install 执行成功会提示Service

python python操作MySQL

北城余情 提交于 2020-01-01 03:15:45
  MySQL是Web世界中使用最广泛的数据库服务器,SQLite的特定是轻量级,可嵌入,但不能承受高并发访问,适合桌面和移动应用。而MySQL是为服务器端设计的数据库,能承受高并发访问,同时占用的内存也远远大于SQLite。此外,MySQL内部有多种数据库引擎,最常用的引擎是支持数据库事务的InnoDB。 一,安装MySQL 这里小编就不详细介绍了,要是有不会安装的可以参考下面博客 http://www.cnblogs.com/wj-1314/p/7573242.html 二,安装MySQL-python 要想使python可以操作mysql 就需要MySQL-python驱动,它是python 操作mysql必不可少的模块。 下载地址: https://pypi.python.org/pypi/MySQL-python/ 下载MySQL-python-1.2.5.zip 文件之后直接解压。进入MySQL-python-1.2.5目录: >>python setup.py install 然后安装pymysql pip install pymysql    三,测试pymysql模块   测试非常简单,检查pymysql模块是否可以正常导入。(在操作数据库的时候,python2一般使用mysqldb,但是在python3中已经不再支持mysqldb了