搜尋
首頁後端開發Python教學python中常見資料庫有哪些

python中常見的資料庫有哪些呢?資料庫大致分為兩大類,第一類是包含關聯式資料庫,第二類是非關聯式資料庫,以下介紹這兩類資料庫的相關知識。

包含關聯式資料庫:sqlite,mysql,mssql 

非關聯式資料庫:MongoDB,Redis

python中常見資料庫有哪些

1. 連接Sqlite

import sqlite3
import traceback
try:
    # 如果表不存在,就创建
    with sqlite3.connect('test.db') as conn:
        print("Opened database successfully")
        # 删除表
        conn.execute("DROP TABLE IF EXISTS  COMPANY")
        # 创建表
        sql = """
                 CREATE TABLE IF NOT EXISTS COMPANY
               (ID INTEGER  PRIMARY KEY       AUTOINCREMENT,
               NAME           TEXT    NOT NULL,
               AGE            INT     NOT NULL,
               ADDRESS        CHAR(50),
               SALARY         REAL);
        """
        conn.execute(sql)
        print("create table successfully")
        # 添加数据
        conn.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES (?, ?, ?, ? )",
                         [('Paul', 32, 'California', 20000.00),
                          ('Allen', 25, 'Texas', 15000.00),
                          ('Teddy', 23, 'Norway', 20000.00),
                          ('Mark', 25, 'Rich-Mond ', 65000.00),
                          ('David', 27, 'Texas', 85000.00),
                          ('Kim', 22, 'South-Hall', 45000.00),
                          ('James', 24, 'Houston', 10000.00)])
        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\
        # VALUES ( 'Paul', 32, 'California', 20000.00 )")
        #
        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\
        # VALUES ('Allen', 25, 'Texas', 15000.00 )")
        #
        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\
        # VALUES ('Teddy', 23, 'Norway', 20000.00 )")
        #
        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\
        # VALUES ( 'Mark', 25, 'Rich-Mond ', 65000.00 )")
        #
        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\
        # VALUES ( 'David', 27, 'Texas', 85000.00 )");
        #
        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\
        # VALUES ( 'Kim', 22, 'South-Hall', 45000.00 )")
        #
        # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY)\
        # VALUES ( 'James', 24, 'Houston', 10000.00 )")
        # 提交,否则重新运行程序时,表中无数据
        conn.commit()
        print("insert successfully")
        # 查询表
        sql = """
            select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY
         """
        result = conn.execute(sql)
        for row in result:
            print("-" * 50)  # 输出50个-,作为分界线
            print("%-10s %s" % ("id", row[0]))  # 字段名固定10位宽度,并且左对齐
            print("%-10s %s" % ("name", row[1]))
            print("%-10s %s" % ("age", row[2]))
            print("%-10s %s" % ("address", row[3]))
            print("%-10s %.2f" % ("salary", row[4]))
            # or
            # print('{:10s} {:.2f}'.format("salary", row[4]))
except sqlite3.Error as e:
    print("sqlite3 Error:", e)
    traceback.print_exc()

2.連接mysql 

#相關推薦:《python影片教學

#2.2 使用MySQLdb

2.1使用mysqldb函式庫中的_mysql

import MySQLdb
from contextlib import closing
import traceback
try:
    # 获取一个数据库连接
    with closing(MySQLdb.connect(host='localhost', user='root', passwd='root', db='test', port=3306,charset='utf8')) as conn:
        print("connect database successfully")
        with closing(conn.cursor()) as cur:
            # 删除表
            cur.execute("DROP TABLE IF EXISTS  COMPANY")
            # 创建表
            sql = """
                     CREATE TABLE IF NOT EXISTS COMPANY
                   (ID INTEGER  PRIMARY KEY NOT NULL  auto_increment,
                   NAME           TEXT    NOT NULL,
                   AGE            INT     NOT NULL,
                   ADDRESS        CHAR(50),
                   SALARY         REAL);
            """
            cur.execute(sql)
            print("create table successfully")
            # 添加数据
            # 在一个conn.execute里面里面执行多个sql语句是非法的
            cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )",
                            [('Paul', 32, 'California', 20000.00),
                             ('Allen', 25, 'Texas', 15000.00),
                             ('Teddy', 23, 'Norway', 20000.00),
                             ('Mark', 25, 'Rich-Mond ', 65000.00),
                             ('David', 27, 'Texas', 85000.00),
                             ('Kim', 22, 'South-Hall', 45000.00),
                             ('James', 24, 'Houston', 10000.00)])
            # 提交,否则重新运行程序时,表中无数据
            conn.commit()
            print("insert successfully")
            # 查询表
            sql = """
                select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY
             """
            cur.execute(sql)
            for row in cur.fetchall():
                print("-" * 50)  # 输出50个-,作为分界线
                print("%-10s %s" % ("id", row[0]))  # 字段名固定10位宽度,并且左对齐
                print("%-10s %s" % ("name", row[1]))
                print("%-10s %s" % ("age", row[2]))
                print("%-10s %s" % ("address", row[3]))
                print("%-10s %s" % ("salary", row[4]))
except MySQLdb.Error as e:
    print("Mysql Error:", e)
    traceback.print_exc()  # 打印错误栈信息

#2.2 使用MySQLdb

import MySQLdb
from contextlib import closing
import traceback
try:
    # 获取一个数据库连接
    with closing(MySQLdb.connect(host='localhost', user='root', passwd='root', db='test', port=3306,charset='utf8')) as conn:
        print("connect database successfully")
        with closing(conn.cursor()) as cur:
            # 删除表
            cur.execute("DROP TABLE IF EXISTS  COMPANY")
            # 创建表
            sql = """
                     CREATE TABLE IF NOT EXISTS COMPANY
                   (ID INTEGER  PRIMARY KEY NOT NULL  auto_increment,
                   NAME           TEXT    NOT NULL,
                   AGE            INT     NOT NULL,
                   ADDRESS        CHAR(50),
                   SALARY         REAL);
            """
            cur.execute(sql)
            print("create table successfully")
            # 添加数据
            # 在一个conn.execute里面里面执行多个sql语句是非法的
            cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )",
                            [('Paul', 32, 'California', 20000.00),
                             ('Allen', 25, 'Texas', 15000.00),
                             ('Teddy', 23, 'Norway', 20000.00),
                             ('Mark', 25, 'Rich-Mond ', 65000.00),
                             ('David', 27, 'Texas', 85000.00),
                             ('Kim', 22, 'South-Hall', 45000.00),
                             ('James', 24, 'Houston', 10000.00)])
            # 提交,否则重新运行程序时,表中无数据
            conn.commit()
            print("insert successfully")
            # 查询表
            sql = """
                select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY
             """
            cur.execute(sql)
            for row in cur.fetchall():
                print("-" * 50)  # 输出50个-,作为分界线
                print("%-10s %s" % ("id", row[0]))  # 字段名固定10位宽度,并且左对齐
                print("%-10s %s" % ("name", row[1]))
                print("%-10s %s" % ("age", row[2]))
                print("%-10s %s" % ("address", row[3]))
                print("%-10s %s" % ("salary", row[4]))
except MySQLdb.Error as e:
    print("Mysql Error:", e)
    traceback.print_exc()  # 打印错误栈信息

2.3使用pymysql

2.1和2.2節使用MySQLdb,不支援Python3.x 
pymysql對Python2.x和Python3.x的支援都比較好

import pymysql
from contextlib import closing
import traceback
try:
    # 获取一个数据库连接,with关键字 表示退出时,conn自动关闭
    # with 嵌套上一层的with 要使用closing()
    with closing(pymysql.connect(host='localhost', user='root', passwd='root', db='test', port=3306,
                                 charset='utf8')) as conn:
        print("connect database successfully")
        # 获取游标,with关键字 表示退出时,cur自动关闭
        with conn.cursor() as cur:
            # 删除表
            cur.execute("DROP TABLE IF EXISTS  COMPANY")
            # 创建表
            sql = """
                     CREATE TABLE IF NOT EXISTS COMPANY
                   (ID INTEGER  PRIMARY KEY NOT NULL  auto_increment,
                   NAME           TEXT    NOT NULL,
                   AGE            INT     NOT NULL,
                   ADDRESS        CHAR(50),
                   SALARY         REAL);
            """
            cur.execute(sql)
            print("create table successfully")
            # 添加数据
            # 在一个conn.execute里面里面执行多个sql语句是非法的
            cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )",
                            [('Paul', 32, 'California', 20000.00),
                             ('Allen', 25, 'Texas', 15000.00),
                             ('Teddy', 23, 'Norway', 20000.00),
                             ('Mark', 25, 'Rich-Mond ', 65000.00),
                             ('David', 27, 'Texas', 85000.00),
                             ('Kim', 22, 'South-Hall', 45000.00),
                             ('James', 24, 'Houston', 10000.00)])
            # 提交,否则重新运行程序时,表中无数据
            conn.commit()
            print("insert successfully")
            # 查询表
            sql = """
                select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY
             """
            cur.execute(sql)
            for row in cur.fetchall():
                print("-" * 50)  # 输出50个-,作为分界线
                print("%-10s %s" % ("id", row[0]))  # 字段名固定10位宽度,并且左对齐
                print("%-10s %s" % ("name", row[1]))
                print("%-10s %s" % ("age", row[2]))
                print("%-10s %s" % ("address", row[3]))
                print("%-10s %s" % ("salary", row[4]))
except pymysql.Error as e:
    print("Mysql Error:", e)
    traceback.print_exc()

3.連接mssql##

import pymssql
from contextlib import closing
try:
    # 先要保证数据库中有test数据库
    # 获取一个数据库连接,with关键字 表示退出时,conn自动关闭
    # with 嵌套上一层的with 要使用closing()
    with closing(pymssql.connect(host='192.168.100.114', user='sa', password='sa12345', database='test', port=1433,
                                 charset='utf8')) as conn:
        print("connect database successfully")
        # 获取游标,with关键字 表示退出时,cur自动关闭
        with conn.cursor() as cur:
            # 删除表
            cur.execute(
                    '''if exists (select 1 from  sys.objects where name='COMPANY' and  type='U')  drop table COMPANY''')
            # 创建表
            sql = """
                     CREATE TABLE  COMPANY
                   (ID INT  IDENTITY(1,1) PRIMARY KEY NOT NULL ,
                   NAME           TEXT    NOT NULL,
                   AGE            INT     NOT NULL,
                   ADDRESS        CHAR(50),
                   SALARY         REAL);
            """
            cur.execute(sql)
            print("create table successfully")
            # 添加数据
            # 在一个conn.execute里面里面执行多个sql语句是非法的
            cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )",
                            [('Paul', 32, 'California', 20000.00),
                             ('Allen', 25, 'Texas', 15000.00),
                             ('Teddy', 23, 'Norway', 20000.00),
                             ('Mark', 25, 'Rich-Mond', 65000.00),
                             ('David', 27, 'Texas', 85000.00),
                             ('Kim', 22, 'South-Hall', 45000.00),
                             ('James', 24, 'Houston', 10000.00)])
            # 提交,否则重新运行程序时,表中无数据
            conn.commit()
            print("insert successfully")
            # 查询表
            sql = """
                select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY
             """
            cur.execute(sql)
            for row in cur.fetchall():
                print("-" * 50)  # 输出50个-,作为分界线
                print("%-10s %s" % ("id", row[0]))  # 字段名固定10位宽度,并且左对齐
                print("%-10s %s" % ("name", row[1]))
                print("%-10s %s" % ("age", row[2]))
                print("%-10s %s" % ("address", row[3]))
                print("%-10s %s" % ("salary", row[4]))
except pymssql.Error as e:
    print("mssql Error:", e)
    # traceback.print_exc()

4.連接MongoDB

import pymongo
from pymongo.mongo_client import MongoClient
import pymongo.errors
import traceback
try:
    # 连接到 mongodb 服务
    mongoClient = MongoClient('localhost', 27017)
    # 连接到数据库
    mongoDatabase = mongoClient.test
    print("connect database successfully")
    # 获取集合
    mongoCollection = mongoDatabase.COMPANY
    # 移除所有数据
    mongoCollection.remove()
    # 添加数据
    mongoCollection.insert_many([{"Name": "Paul", "Age": "32", "Address": "California", "Salary": "20000.00"},
                                 {"Name": "Allen", "Age": "25", "Address": "Texas", "Salary": "15000.00"},
                                 {"Name": "Teddy", "Age": "23", "Address": "Norway", "Salary": "20000.00"},
                                 {"Name": "Mark", "Age": "25", "Address": "Rich-Mond", "Salary": "65000.00"},
                                 {"Name": "David", "Age": "27", "Address": "Texas", "Salary": "85000.00"},
                                 {"Name": "Kim", "Age": "22", "Address": "South-Hall", "Salary": "45000.00"},
                                 {"Name": "James", "Age": "24", "Address": "Houston", "Salary": "10000.00"}, ])
    #获取集合中的值
    for row in mongoCollection.find():
        print("-" * 50)  # 输出50个-,作为分界线
        print("%-10s %s" % ("_id", row['_id']))  # 字段名固定10位宽度,并且左对齐
        print("%-10s %s" % ("name", row['Name']))
        print("%-10s %s" % ("age", row['Age']))
        print("%-10s %s" % ("address", row['Address']))
        print("%-10s %s" % ("salary", row['Salary']))
    print('\n\n\n')
    # 使id自增
    mongoCollection.remove()
    # 创建计数表
    mongoDatabase.counters.save({"_id": "people_id", "sequence_value": 0})
    # 创建存储过程
    mongoDatabase.system_js.getSequenceValue = '''function getSequenceValue(sequenceName){
            var sequenceDocument = db.counters.findAndModify({
                query: {_id: sequenceName},
                update: {$inc:{sequence_value: 1}},
                new:true
            });
            return sequenceDocument.sequence_value;
        }'''
    mongoCollection.insert_many(
            [{"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Paul", "Age": "32",
              "Address": "California", "Salary": "20000.00"},
             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Allen", "Age": "25",
              "Address": "Texas", "Salary": "15000.00"},
             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Teddy", "Age": "23",
              "Address": "Norway", "Salary": "20000.00"},
             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Mark", "Age": "25",
              "Address": "Rich-Mond", "Salary": "65000.00"},
             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "David", "Age": "27",
              "Address": "Texas", "Salary": "85000.00"},
             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Kim", "Age": "22",
              "Address": "South-Hall", "Salary": "45000.00"},
             {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "James", "Age": "24",
              "Address": "Houston", "Salary": "10000.00"}, ])
    for row in mongoCollection.find():
        print("-" * 50)  # 输出50个-,作为分界线
        print("%-10s %s" % ("_id", int(row['_id'])))  # 字段名固定10位宽度,并且左对齐
        print("%-10s %s" % ("name", row['Name']))
        print("%-10s %s" % ("age", row['Age']))
        print("%-10s %s" % ("address", row['Address']))
        print("%-10s %s" % ("salary", row['Salary']))
except pymongo.errors.PyMongoError as e:
    print("mongo Error:", e)
    traceback.print_exc()

5.連接Redis

5.1使用redis

import redis
r = redis.Redis(host='localhost', port=6379, db=0, password="12345")
print("connect", r.ping())
# 看信息
info = r.info()
# or 查看部分信息
# info = r.info("Server")
# 输出信息
items = info.items()
for i, (key, value) in enumerate(items):
    print("item %s----%s:%s" % (i, key, value))
# 删除键和对应的值
r.delete("company")
# 可以一次性push一条或多条数据
r.rpush("company", {"id": 1, "Name": "Paul", "Age": "32", "Address": "California", "Salary": "20000.00"},
        {"id": 2, "Name": "Allen", "Age": "25", "Address": "Texas", "Salary": "15000.00"},
        {"id": 3, "Name": "Teddy", "Age": "23", "Address": "Norway", "Salary": "20000.00"})
r.rpush("company", {"id": 4, "Name": "Mark", "Age": "25", "Address": "Rich-Mond", "Salary": "65000.00"})
r.rpush("company", {"id": 5, "Name": "David", "Age": "27", "Address": "Texas", "Salary": "85000.00"})
r.rpush("company", {"id": 6, "Name": "Kim", "Age": "22", "Address": "South-Hall", "Salary": "45000.00"})
r.rpush("company", {"id": 7, "Name": "James", "Age": "24", "Address": "Houston", "Salary": "10000.00"})
# eval用来将dict格式的字符串转换成dict
for row in map(lambda x: eval(x), r.lrange("company", 0, r.llen("company"))):
    print("-" * 50)  # 输出50个-,作为分界线
    print("%-10s %s" % ("_id", row['id']))  # 字段名固定10位宽度,并且左对齐
    print("%-10s %s" % ("name", row['Name']))
    print("%-10s %s" % ("age", row['Age']))
    print("%-10s %s" % ("address", row['Address']))
    print("%-10s %s" % ("salary", row['Salary']))
# 关闭当前连接
# r.shutdown() #这个是关闭redis服务端

5.2使用pyredis

import pyredis
r = pyredis.Client(host='localhost', port=6379, database=0, password="12345")
print("connect", r.ping().decode("utf-8"))
# 看信息
# info = r.execute("info").decode()
# or 查看部分信息
info = r.execute("info", "Server").decode()
# 输出信息
print(info)
# 删除键和对应的值
r.delete("company")
# 可以一次性push一条或多条数据
r.rpush("company", '''{"id": 1, "Name": "Paul", "Age": "32", "Address": "California", "Salary": "20000.00"}''',
        '''{"id": 2, "Name": "Allen", "Age": "25", "Address": "Texas", "Salary": "15000.00"}''',
        '''{"id": 3, "Name": "Teddy", "Age": "23", "Address": "Norway", "Salary": "20000.00"}''')
r.rpush("company", '''{"id": 4, "Name": "Mark", "Age": "25", "Address": "Rich-Mond", "Salary": "65000.00"}''')
r.rpush("company", '''{"id": 5, "Name": "David", "Age": "27", "Address": "Texas", "Salary": "85000.00"}''')
r.rpush("company", '''{"id": 6, "Name": "Kim", "Age": "22", "Address": "South-Hall", "Salary": "45000.00"}''')
r.rpush("company", '''{"id": 7, "Name": "James", "Age": "24", "Address": "Houston", "Salary": "10000.00"}''')
# eval用来将dict格式的字符串转换成dict
for row in map(lambda x: eval(x), r.lrange("company", 0, r.llen("company"))):
    print("-" * 50)  # 输出50个-,作为分界线
    print("%-10s %s" % ("_id", row['id']))  # 字段名固定10位宽度,并且左对齐
    print("%-10s %s" % ("name", row['Name']))
    print("%-10s %s" % ("age", row['Age']))
    print("%-10s %s" % ("address", row['Address']))
    print("%-10s %s" % ("salary", row['Salary']))
# 关闭当前连接
r.close()

以上是python中常見資料庫有哪些的詳細內容。更多資訊請關注PHP中文網其他相關文章!

陳述
本文內容由網友自願投稿,版權歸原作者所有。本站不承擔相應的法律責任。如發現涉嫌抄襲或侵權的內容,請聯絡admin@php.cn
详细讲解Python之Seaborn(数据可视化)详细讲解Python之Seaborn(数据可视化)Apr 21, 2022 pm 06:08 PM

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于Seaborn的相关问题,包括了数据可视化处理的散点图、折线图、条形图等等内容,下面一起来看一下,希望对大家有帮助。

详细了解Python进程池与进程锁详细了解Python进程池与进程锁May 10, 2022 pm 06:11 PM

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于进程池与进程锁的相关问题,包括进程池的创建模块,进程池函数等等内容,下面一起来看一下,希望对大家有帮助。

Python自动化实践之筛选简历Python自动化实践之筛选简历Jun 07, 2022 pm 06:59 PM

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于简历筛选的相关问题,包括了定义 ReadDoc 类用以读取 word 文件以及定义 search_word 函数用以筛选的相关内容,下面一起来看一下,希望对大家有帮助。

归纳总结Python标准库归纳总结Python标准库May 03, 2022 am 09:00 AM

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于标准库总结的相关问题,下面一起来看一下,希望对大家有帮助。

Python数据类型详解之字符串、数字Python数据类型详解之字符串、数字Apr 27, 2022 pm 07:27 PM

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于数据类型之字符串、数字的相关问题,下面一起来看一下,希望对大家有帮助。

分享10款高效的VSCode插件,总有一款能够惊艳到你!!分享10款高效的VSCode插件,总有一款能够惊艳到你!!Mar 09, 2021 am 10:15 AM

VS Code的确是一款非常热门、有强大用户基础的一款开发工具。本文给大家介绍一下10款高效、好用的插件,能够让原本单薄的VS Code如虎添翼,开发效率顿时提升到一个新的阶段。

详细介绍python的numpy模块详细介绍python的numpy模块May 19, 2022 am 11:43 AM

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于numpy模块的相关问题,Numpy是Numerical Python extensions的缩写,字面意思是Python数值计算扩展,下面一起来看一下,希望对大家有帮助。

python中文是什么意思python中文是什么意思Jun 24, 2019 pm 02:22 PM

pythn的中文意思是巨蟒、蟒蛇。1989年圣诞节期间,Guido van Rossum在家闲的没事干,为了跟朋友庆祝圣诞节,决定发明一种全新的脚本语言。他很喜欢一个肥皂剧叫Monty Python,所以便把这门语言叫做python。

See all articles

熱AI工具

Undresser.AI Undress

Undresser.AI Undress

人工智慧驅動的應用程序,用於創建逼真的裸體照片

AI Clothes Remover

AI Clothes Remover

用於從照片中去除衣服的線上人工智慧工具。

Undress AI Tool

Undress AI Tool

免費脫衣圖片

Clothoff.io

Clothoff.io

AI脫衣器

AI Hentai Generator

AI Hentai Generator

免費產生 AI 無盡。

熱門文章

R.E.P.O.能量晶體解釋及其做什麼(黃色晶體)
3 週前By尊渡假赌尊渡假赌尊渡假赌
R.E.P.O.最佳圖形設置
3 週前By尊渡假赌尊渡假赌尊渡假赌
R.E.P.O.如果您聽不到任何人,如何修復音頻
3 週前By尊渡假赌尊渡假赌尊渡假赌
WWE 2K25:如何解鎖Myrise中的所有內容
3 週前By尊渡假赌尊渡假赌尊渡假赌

熱工具

SublimeText3 Linux新版

SublimeText3 Linux新版

SublimeText3 Linux最新版

PhpStorm Mac 版本

PhpStorm Mac 版本

最新(2018.2.1 )專業的PHP整合開發工具

Atom編輯器mac版下載

Atom編輯器mac版下載

最受歡迎的的開源編輯器

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

將Eclipse與SAP NetWeaver應用伺服器整合。

禪工作室 13.0.1

禪工作室 13.0.1

強大的PHP整合開發環境