Data Logging with Raspberry Pi Pico and Micro SD Card using CircuitPython

Join us in this comprehensive guide on data logging with the Raspberry Pi Pico using a micro SD card and CircuitPython. Learn how to log CPU temperature, integrate the DHT11 sensor, and manage data files efficiently. Whether you're new to data logging or looking to expand your skills, this video covers essential techniques to store and retrieve data effectively.

Key Points Covered:
1. List Files on SD Card : Explore how to display a list of files stored on the SD card.
2. Logging CPU Temperature : Step-by-step instructions to log CPU temperature readings into a file.
3. Reading CPU Temperature : Learn how to read CPU temperature data from a logged file.
4. Clearing Data : Techniques for clearing data from a file to maintain storage efficiency.
5. Logging Data at Intervals : Set up logging to record temperature at specific intervals and durations.
6. Reading Specific Data Line : How to retrieve and display a specific line of data from a file.
7. Clearing Specific Data Line : Manage files by selectively clearing specific lines of logged data.
8. Inserting Data into Files : Methods for inserting new data entries into existing log files.
9. DHT11 Sensor Test : Conduct a test with the DHT11 sensor to log temperature and humidity data.
10. Logging Temperature & Humidity : Guide to logging both temperature and humidity readings into a single file.
11. Separate Logs for Temperature & Humidity : Learn how to log temperature and humidity data into separate files for better organization.

Why Choose Raspberry Pi Pico and CircuitPython?
Discover the simplicity and versatility of using CircuitPython on the Raspberry Pi Pico for data logging projects. From basic logging tasks to advanced file management techniques, this video equips you with essential skills for creating effective data logging solutions.