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Automated Weather-Based Email Workshop

Overview

This workshop covers the development of a Python application that reads client data from a CSV file, checks the current weather for each client's city using an API, and sends out promotional emails based on the weather condition (rain).

Objectives

  • Understand how to read data from CSV files in Python.
  • Learn how to make API requests to gather weather data.
  • Automate sending emails based on data-driven conditions.

Key Python Packages

csv

  • Purpose: To read from and write to CSV files in Python.
  • Usage in Project: We use csv.DictReader to read client data from a CSV file and process it as a list of dictionaries.

requests

  • Purpose: To send HTTP requests in Python, essential for API interactions.
  • Usage in Project: Used to make GET requests to the OpenWeatherMap API to fetch current weather data for each client's city.

sendgrid

  • Purpose: SendGrid's Python library, used for sending emails through the SendGrid platform.
  • Usage in Project: Utilized to programmatically send emails to clients. This includes composing the email and handling the sending process.

os

  • Purpose: Provides a way of using operating system dependent functionality like reading or writing to the environment variables.
  • Usage in Project: Used to access API keys stored in environment variables for security purposes.

dotenv

  • Purpose: To load environment variables from a .env file into the script, which is crucial for not hardcoding sensitive data like API keys.
  • Usage in Project: Implemented at the start of the script to load the OpenWeatherMap and SendGrid API keys.

Workshop Flow

  1. Introduction to the Project: Understanding the goal and the steps involved.
  2. Setting Up the Environment: Installing necessary packages and setting up API keys.
  3. Reading and Understanding CSV Data: Using the csv package to read client data.
  4. API Interaction for Weather Data: Making GET requests to OpenWeatherMap API using the requests package.
  5. Automating Email Dispatch: Composing and sending emails through SendGrid using the sendgrid package.
  6. Bringing It All Together: Writing the main script to automate the entire process.
  7. Testing and Troubleshooting: Running the script and analyzing the results.

Additional Resources

Conclusion

This workshop provides a hands-on experience in automating a practical task using Python. It combines data handling, API interaction, and email automation, offering a glimpse into the power of Python for real-world applications.

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