This repository contains a collection of Python scripts and notebooks demonstrating various automation tasks. It serves as a practical introduction to automating common data-related workflows with Python.

• Provide a re-introduction to Python for practical applications.
• Demonstrate the use of Python notebooks for automation tasks.
• Showcase the ability to work with and switch between different infrastructure pieces.

The notebooks in this repository cover a range of automation tasks, including:

• Data Extraction:
  • Reading data from websites.
  • Extracting tables from PDF files.
  • Reading data from CSV files.
• Web Scraping:
  • Using Selenium to scrape data from websites.
• Data Analysis and Visualization:
  • Creating pivot tables from Excel data.
  • Generating and saving charts in Excel files.

• AutomateLesson1.ipynb: Covers reading data from various sources like Wikipedia and CSV files using the pandas and camelot libraries.
• AutomateLesson2.ipynb: Demonstrates web scraping with selenium to get the latest news from The Sun's website and saving it to a CSV file.
• AutomateLesson3.ipynb: Focuses on data manipulation with pandas to create pivot tables and openpyxl to create and save charts in Excel.