Python Programming Training Certification

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100 Assignments

Instructor Led online Training

50 LMS Access

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100% Skill Level
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Course Overview
Python is one of the world’s top programming languages used today and Python training has become the most popular training across individuals. Training Basket’s Python Training & Certification course covers basic and advanced Python concepts and how to apply them in real-world applications.Python is a flexible and powerful open-source language that is easy to learn and consists of powerful libraries for data analysis and manipulation. Our Python training course content is curated by experts as per the standard Industry curriculum. The curriculum, coding challenges and real-life problems cover data operations in Python, strings, conditional statements, error handling, shell scripting, web scraping and the commonly used Python web framework Django. Take this Python training and certification course and become job-ready now.

Insert Operation
Adding a record to the table
The INSERT INTO statement is used to add a record to the table. In python, we can mention the format specifier (%s) in place of values.
We provide the actual values in the form of tuple in the execute() method of the cursor.
Consider the following example.
Example
-
import mysql.connector
#Create the connection object
myconn = mysql.connector.connect(host = “localhost”, user = “root”,passwd = “google”,database = “PythonDB”)
#creating the cursor object
cur = myconn.cursor()
sql = “insert into Employee(name, id, salary, dept_id, branch_name) values (%s, %s, %s, %s, %s)”#The row values are provided in the form of tuple
val = (“John”, 110, 25000.00, 201, “Newyork”)try:
#inserting the values into the table
cur.execute(sql,val)#commit the transaction
myconn.commit()except:
myconn.rollback()print(cur.rowcount,”record inserted!”)
myconn.close()
Output:
- 1 record inserted!
Insert multiple rows
We can also insert multiple rows at once using the python script. The multiple rows are mentioned as the list of various tuples.
Each element of the list is treated as one particular row, whereas each element of the tuple is treated as one particular column value (attribute).
Consider the following example.
Example
-
import mysql.connector
#Create the connection object
myconn = mysql.connector.connect(host = “localhost”, user = “root”,passwd = “google”,database = “PythonDB”)#creating the cursor object
cur = myconn.cursor()
sql = “insert into Employee(name, id, salary, dept_id, branch_name) values (%s, %s, %s, %s, %s)”
val = [(“John”, 102, 25000.00, 201, “Newyork”),(“David”,103,25000.00,202,”Port of spain”),(“Nick”,104,90000.00,201,”Newyork”)]try:
#inserting the values into the table
cur.executemany(sql,val)#commit the transaction
myconn.commit()
print(cur.rowcount,”records inserted!”)except:
myconn.rollback()myconn.close()
Output:
- 3 records inserted!
Row ID
In SQL, a particular row is represented by an insertion id which is known as row id. We can get the last inserted row id by using the attribute lastrowid of the cursor object.
Consider the following example.
Example
-
import mysql.connector
#Create the connection object
myconn = mysql.connector.connect(host = “localhost”, user = “root”,passwd = “google”,database = “PythonDB”)
#creating the cursor object
cur = myconn.cursor()sql = “insert into Employee(name, id, salary, dept_id, branch_name) values (%s, %s, %s, %s, %s)”
val = (“Mike”,105,28000,202,”Guyana”)
try:
#inserting the values into the table
cur.execute(sql,val)#commit the transaction
myconn.commit()#getting rowid
print(cur.rowcount,”record inserted! id:”,cur.lastrowid)except:
myconn.rollback()myconn.close()
Output:
- 1 record inserted! Id: 0
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