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Connect to PostgreSQL from Python Using SQL in Python Python to PostgreSQL
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=M2NzvnfS-hI
Connect to PostgreSQL from Python (Using SQL in Python) | Python to PostgreSQL • In this video, we shall understand how to connect to PostgreSQL Database from Python. We shall write a python program which will use the Psycopg2 module to connect to the PostgreSQL database and then perform some database or SQL transactions such as creating a table and then insert data to the table, updating a table data and delete records from the table using python code. We shall also see how to fetch table data from postgres database to python program. • At the end of the video, I will also cover how to use Context Manager to perform all of the above SQL operations. That is, we will use the WITH clause to connect to the database and also use the WITH clause to open the cursor. I will also mention what are the advantages of using WITH clause and why it is recommended to always use context manager or WITH clause when working with database in python. • Download the Python script used in this video from my blog. Link below: • https://techtfq.com/video/connect-to-... • Timeline: • 00:00 Intro • 00:42 Prerequisites for connecting to PostgreSQL from Python • 02:18 Connecting to PostgreSQL from Python • 05:33 Opening a cursor to perform database operations • 07:52 CREATE Table in PostgreSQL database from Python program • 10:37 INSERT single record to a table in PostgreSQL from Python program • 12:23 INSERT multiple records to PostgreSQL table from Python program • 14:30 FETCH data from PostgreSQL Table and display in Python program • 17:23 UPDATE Table data in PostgreSQL database from Python program • 18:50 DELETE Table record in PostgreSQL database from Python program • 20:14 Using Context Manager to connect to PostgreSQL database from Python • We shall be using psycopg2 module to connect to PostgreSQL database from python, which is considered to be one of the best libraries to connect to postgres from python. • We shall start the video by covering the couple of pre-requisites which is to first install the psycopg2 module and then finding the credentials or information required to connect to the postgres database. • After this we shall write the python program which will initially connect to the PostgreSQL database and then open a cursor which will be then used to perform the database operations like CREATE TABLE, INSERT INTO Table, UPDATE Table data, DELETE table record and also how to fetch or retrieve table records or table data from the database to Python program. • Finally, we shall end the video by talking about context manager way of connecting to the database and also how to use context manager to open a cursor. Using context manager is simply using the WITH clause while connecting to the database and then also using the WITH clause while opening the cursor. • I will also mention the advantages of using a context manager over the traditional method or connecting to data and opening the cursor. And also mention why is it recommended to always use context manager when connecting to database in python. • Hopefully this video helped and gave you some useful information of using SQL within python program. If you liked it then please make sure to like the video and also subscribe to the channel. • 🔴 WATCH MORE VIDEOS HERE 👇 • ✅ SQL Tutorial - Basic concepts: • • SQL Tutorial - Basic concepts • ✅ SQL Tutorial - Intermediate concepts: • • SQL Tutorial - Intermediate concepts • ✅ SQL Tutorial - Advance concepts: • • SQL Tutorial - Advance concepts • ✅ Practice Solving Basic SQL Queries: • • Practice Solving BASIC SQL Queries • ✅ Practice Solving Intermediate SQL Queries: • • Practice Solving INTERMEDIATE SQL Que... • ✅ Practice Solving Complex SQL Queries: • • Practice Solving COMPLEX SQL Queries • ✅ Data Analytics Career guidance: • • Data Analytics career and more • ✅ SQL Course, SQL Training Platform Recommendations: • • SQL Course / Training • ✅ Python Tutorial: • • Python Tutorial • ✅ Git and GitHub Tutorial: • • Git and GitHub • ✅ Data Analytics Projects: • • Data Analytics Projects • THANK YOU, • Thoufiq
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