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Python Regex: The 5 Exclusive Examples

 Regular expressions (regex) are powerful tools for pattern matching and text manipulation in Python. Here are five Python regex examples with explanations: 01 Matching a Simple Pattern import re text = "Hello, World!" pattern = r"Hello" result = re.search(pattern, text) if result:     print("Pattern found:", result.group()) Output: Output: Pattern found: Hello This example searches for the pattern "Hello" in the text and prints it when found. 02 Matching Multiple Patterns import re text = "The quick brown fox jumps over the lazy dog." patterns = [r"fox", r"dog"] for pattern in patterns:     if re.search(pattern, text):         print(f"Pattern '{pattern}' found.") Output: Pattern 'fox' found. Pattern 'dog' found. It searches for both "fox" and "dog" patterns in the text and prints when they are found. 03 Matching Any Digit   import re text = "The price of the

How to Write ETL Logic in Python: Sample Code to Practice

Here's an example Python code that uses the mysql-connector library to connect to a MySQL database, extract data from a table, transform it, and load it as a JSON file. Here's an example:

Python ETL Sample Code

import mysql.connector

import json

# Connect to the MySQL database

cnx = mysql.connector.connect(user='username', password='password',



# Define a cursor to execute SQL queries

cursor = cnx.cursor()

# Define the SQL query to extract data

query = ("SELECT column1, column2, column3 FROM table_name")

# Execute the SQL query


# Fetch all rows from the result set

rows = cursor.fetchall()

# Transform the rows into a list of dictionaries

result = []

for row in rows:

    result.append({'column1': row[0], 'column2': row[1], 'column3': row[2]})

# Save the result as a JSON file

with open('output.json', 'w') as outfile:

    json.dump(result, outfile)

# Close the cursor and database connection



In this example, you will need to replace username, password, localhost, database_name, table_name, column1, column2, and column3 with the appropriate values for your MySQL database and table. 

The code will extract the data from the specified table, transform it into a list of dictionaries, and save it as a JSON file named output.json.


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