Posts

Showing posts with the label File Formats

Featured Post

Python Set Operations Explained: From Theory to Real-Time Applications

Image
A  set  in Python is an unordered collection of unique elements. It is useful when storing distinct values and performing operations like union, intersection, or difference. Real-Time Example: Removing Duplicate Customer Emails in a Marketing Campaign Imagine you are working on an email marketing campaign for your company. You have a list of customer emails, but some are duplicated. Using a set , you can remove duplicates efficiently before sending emails. Code Example: # List of customer emails (some duplicates) customer_emails = [ "alice@example.com" , "bob@example.com" , "charlie@example.com" , "alice@example.com" , "david@example.com" , "bob@example.com" ] # Convert list to a set to remove duplicates unique_emails = set (customer_emails) # Convert back to a list (if needed) unique_email_list = list (unique_emails) # Print the unique emails print ( "Unique customer emails:" , unique_email_list) Ou...

Python: How to Work With Various File Formats

Image
Here is Python logic that shows Parse and Read Different Files in Python. The formats are XML, JSON, CSV, Excel, Text, PDF, Zip files, Images, SQLlite, and Yaml. Python Reading Files import pandas as pd import json import xml.etree.ElementTree as ET from PIL import Image import pytesseract import PyPDF2 from zipfile import ZipFile import sqlite3 import yaml Reading Text Files # Read text file (.txt) def read_text_file(file_path):     with open(file_path, 'r') as file:         text = file.read()     return text Reading CSV Files # Read CSV file (.csv) def read_csv_file(file_path):     df = pd.read_csv(file_path)     return df Reading JSON Files # Read JSON file (.json) def read_json_file(file_path):     with open(file_path, 'r') as file:         json_data = json.load(file)     return json_data Reading Excel Files # Read Excel file (.xlsx, .xls) def read_excel_file(file_path):    ...