Python Database Connection | How to Connect Python with MySQL Database | Edureka




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**Python Certification Training: https://www.edureka.co/data-science-python-certification-course **
This Edureka video on ‘Python Database Connection’, you will learn how to establish a connection between Python and MySQL DB and perform CRUD operations on it.
Following are the topics discussed:
Introduction to Python & MySQL
Integrated Connection
How to connect Python with MySQL Db
Perform CRUD Operations with Python and MySQL Db

Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s

#Edureka #PythonEdureka #pythondatabaseconnection #pythonandmysql #pythonforbeginners #pythonprogramming #pythontutorial #PythonTraining

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1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work.
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3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive, and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience

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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next “Big Thing” and a must for Professionals in the Data Analytics domain.

Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for the below professionals:
· Programmers, Developers, Technical Leads, Architects
· Developers aspiring to be a ‘Machine Learning Engineer’
· Analytics Managers who are leading a team of analysts
· Business Analysts who want to understand Machine Learning (ML) Techniques
· Information Architects who want to gain expertise in Predictive Analytics
· ‘Python’ professionals who want to design automatic predictive models

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll free)

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Comment List

  • edureka!
    January 19, 2021

    Got a question on the topic? Share it in the comment section below. Please drop a comment if you need the data-sets and codes discussed in this video. For Edureka Python Data Science Course curriculum, Visit our Website: http://bit.ly/2OpzQWw

  • edureka!
    January 19, 2021

    very good and very nice

  • edureka!
    January 19, 2021

    really great work from edureka. I have said it before, but thanks again.

  • edureka!
    January 19, 2021

    Thank you

  • edureka!
    January 19, 2021

    Thanks for this video…it solved issue

  • edureka!
    January 19, 2021

    a super programme

  • edureka!
    January 19, 2021

    Thank you so much

  • edureka!
    January 19, 2021

    Nicely explained

  • edureka!
    January 19, 2021

    Yes

  • edureka!
    January 19, 2021

    Tysm you are a saviour ❤️🙏

  • edureka!
    January 19, 2021

    For those who has not downloaded mysql.connector for python, you have to download it first according to your python version. Then, install it and it will definitely work!

  • edureka!
    January 19, 2021

    thank u

  • edureka!
    January 19, 2021

    I LOVE YOU <3 , MUCHAS GRACIAS POR TU APORTACION UWU. GRACIAS POR SALVARME EL PARCIAL. <3 <3 <3 <3

  • edureka!
    January 19, 2021

    Getting an error message like "mysql.connector.errors.NotsupportedError: Authentication plugin ' caching_sha2_password"

  • edureka!
    January 19, 2021

    Thank you sir👍

  • edureka!
    January 19, 2021

    I have got one question, how to insert new values in MySQL table?

  • edureka!
    January 19, 2021

    wow, it was a great tutorial. thanks👍🇵🇰🇵🇰

  • edureka!
    January 19, 2021

    for those facing an error, try "pip uninstall mysql-connector" then "pip install mysql-connector-python" in cmd

  • edureka!
    January 19, 2021

    thanks a lot

  • edureka!
    January 19, 2021

    really excellent presentation
    thanks, it helped a lot more than i expected

  • edureka!
    January 19, 2021

    my friend you are the best you dam right i learn a million today. thanks

  • edureka!
    January 19, 2021

    thnkew boss

  • edureka!
    January 19, 2021

    sincere thanks for this video

  • edureka!
    January 19, 2021

    Thank you!

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