 #create mysql connection
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root")
print(mydb)
#create mysql connection
#check databases
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root")
mycursor=mydb.cursor()
mycursor.execute("SHOW DATABASES")
for x in mycursor:
    print(x)
#create mysql connection
#create databases
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root")
mycursor=mydb.cursor()
mycursor.execute("create database mydb")
#create mysql connection
#create table customer
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root",
                             database="testdb")
mycursor=mydb.cursor()
mycursor.execute("create table customer (cid int,name varchar(20),address varchar(50))")
#create mysql connection
#check if table customer exists or not(list of tables)
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root",
                             database="mydb")
mycursor=mydb.cursor()
mycursor.execute("show tables")
for x in mycursor:
    print(x)
#create mysql connection
#insert values into table customer
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root",
                             database="testdb")
mycursor=mydb.cursor()
sql="insert into customer(cid,name,address)values(%s,%s,%s)"
val=[
    ("1002","Ramesh","Virar"),
    ("1003","Pooja","Virar"),
    ("1004","Atharva","Bandra"),
    ("1005","Ravi","Mahim")
    ]
#to insert single row(action)use .execute()
#mycursor.execute(sql,val)

#to insert multiple row(actions)use .executemany()
mycursor.executemany(sql,val)
mydb.commit()
print(mycursor.rowcount," records inserted.")
#create mysql connection
#select all records from table customer
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root",
                             database="testdb")
mycursor=mydb.cursor()
mycursor.execute("select * from customer")
#fetchall() method is used to fetch all rows from the last executed statement
myresult=mycursor.fetchall()
for x in myresult:
    print(x)
#create mysql connection
#select specific column from table customer
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root",
                             database="testdb")
mycursor=mydb.cursor()
mycursor.execute("select name,address from customer")
#fetchall() method is used to fetch all rows from the last executed statement
myresult=mycursor.fetchall()
for x in myresult:
    print(x)
#create mysql connection
#select 1st row from table customer
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root",
                             database="testdb")
mycursor=mydb.cursor()
mycursor.execute("select * from customer")
#fetchone() method is used to fetch 1st single rows from the last executed statement
myresult=mycursor.fetchone()
for x in myresult:
    print(x)
#create mysql connection
#using WHERE clause in  table customer 
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root",
                             database="testdb")
mycursor=mydb.cursor()
mycursor.execute("select * from customer where address='virar'")
#fetchone() method is used to fetch 1st single rows from the last executed statement
myresult=mycursor.fetchall()
for x in myresult:
    print(x)
#create mysql connection
#delete row from  table customer 
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root",
                             database="testdb")
mycursor=mydb.cursor()
mycursor.execute("delete from customer where name='Ravi'")
mydb.commit()
print(mycursor.rowcount, " record(s) deleted")
#create mysql connection
#delete table studentdetails
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",password="root",
                             database="testdb")
mycursor=mydb.cursor()
mycursor.execute("drop table studentdetails")

created 3 years ago

Python Online Compiler

Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.

Taking inputs (stdin)

OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.

import sys
name = sys.stdin.readline()
print("Hello "+ name)

About Python

Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.

Tutorial & Syntax help

Loops

1. If-Else:

When ever you want to perform a set of operations based on a condition IF-ELSE is used.

if conditional-expression
    #code
elif conditional-expression
    #code
else:
    #code

Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
    print(i)

3. While:

While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.

while condition  
    #code

Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)

Below throws an error if you assign another value to tuple again.

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset = {"iPhone","Pixel","Samsung"}
print(myset)

4. Dictionary:

Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

Following are the libraries supported by OneCompiler's Python compiler

Name	Description
NumPy	NumPy python library helps users to work on arrays with ease
SciPy	SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learn	Scikit-learn or Scikit-learn is the most useful library for machine learning in Python
Pandas	Pandas is the most efficient Python library for data manipulation and analysis
DOcplex	DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling