How to connect MySQL DB in Python?

How to connect MySQL DB in Python?

How to connect MySQL DB in Python?

This recipe helps you connect MySQL DB in Python

In [3]:
## How to connect MySQL DB in Python
def Snippet_166():
    print(format('How to connect MySQL DB in Python','*^82'))
    import warnings
    # load libraries
    import sqlalchemy as sa
    import pandas as pd

    dataset = pd.read_csv("")
    engine_str = (
       user      =  'root',
       password  =  'root888',
       server    =  'localhost',
       database  =  'datasciencerecipes'))
    engine = sa.create_engine(engine_str)
    conn = engine.connect()

    # check whether connection is Successful or not
    if (conn):
        print("MySQL Connection is Successful ... ... ...")
        print("MySQL Connection is not Successful ... ... ...")

    dataset.to_sql(name='irisdata', con=engine,
                   if_exists = 'replace', chunksize = 1000,
************************How to connect MySQL DB in Python*************************
MySQL Connection is Successful ... ... ...

Relevant Projects

Identifying Product Bundles from Sales Data Using R Language
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.

Predict Census Income using Deep Learning Models
In this project, we are going to work on Deep Learning using H2O to predict Census income.

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Ecommerce product reviews - Pairwise ranking and sentiment analysis
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.

Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.

Predict Credit Default | Give Me Some Credit Kaggle
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Perform Time series modelling using Facebook Prophet
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

Zillow’s Home Value Prediction (Zestimate)
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.