Build Your Own AI Assistant Part 1 - Creating the Assistant
116820 Views
Is the new Raspberry Pi AI Kit better than Google Coral?
114678 Views
Control Arduino with Python using Firmata / PyFirmata
87081 Views
How to Map with LiDAR - using a Raspberry Pi Zero 2W, RPLidar and Rviz
57314 Views
Creating a Supercomputer with a Raspberry Pi 5 Cluster and Docker Swarm!
53588 Views
Node-Red Automation, MQTT, NodeMCU & MicroPython
52067 Views
SMARS Lab upgrade with PyCharm
Chicken Nugget Piano
Pi Tray - Mini-rack - Part II
Weather Station Display
Pi 10 Inch Mini-rack
Installing and Using DeepSeek-R1:1.5 on a Raspberry Pi with Docker
Mini-Rack 3D Design Tutorial
0h 20m
Using the Raspberry Pi Pico's Built-in Temperature Sensor
0h 24m
Getting Started with SQL
0h 32m
Introduction to the Linux Command Line on Raspberry Pi OS
0h 42m
How to install MicroPython
0h 8m
Wall Drawing Robot Tutorial
0h 22m
Learn Linux from the basics to advanced topics.
Learn how to use a Raspberry Pi Pico
Learn MicroPython the best language for MicroControllers
Learn Docker, the leading containerization platform. Docker is used to build, ship, and run applications in a consistent and reliable manner, making it a popular choice for DevOps and cloud-native development.
Learn how to build SMARS robots, starting with the 3D Printing the model, Designing SMARS and Programming SMARS
Learn how to build robots, starting with the basics, then move on to learning Python and MicroPython for microcontrollers, finally learn how to make things with Fusion 360.
Learn Python, the most popular programming language in the world. Python is used in many different areas, including Web Development, Data Science, Machine Learning, Robotics and more.
Learn how to create robots in 3D, using Fusion 360 and FreeCAD. The models can be printed out using a 3d printer and then assembled into a physical robot.
Learn how to create Databases in Python, with SQLite3 and Redis.
KevsRobots Learning Platform
85% Percent Complete
By Kevin McAleer, 2 Minutes
import sqlite3 # Create a database and establish a connection connection = sqlite3.connect('mydatabase.db') # Create a table connection.execute(''' CREATE TABLE IF NOT EXISTS books ( id INTEGER PRIMARY KEY, title TEXT, author TEXT, year INTEGER ) ''') # Insert data into the table books_data = [ ("The Great Gatsby", "F. Scott Fitzgerald", 1925), ("To Kill a Mockingbird", "Harper Lee", 1960), ("Pride and Prejudice", "Jane Austen", 1813) ] connection.executemany('INSERT INTO books (title, author, year) VALUES (?, ?, ?)', books_data) # Query data from the table result = connection.execute('SELECT * FROM books') data = result.fetchall() # Display the retrieved data for row in data: print(f"Title: {row[1]}") print(f"Author: {row[2]}") print(f"Year: {row[3]}") print() # Close the database connection connection.close()
In this demo program, we create a database named “mydatabase.db” and establish a connection to it using the sqlite3 module. We then create a table named “books” with columns for book title, author, and year. Next, we insert some sample data into the table using the executemany() method.
sqlite3
executemany()
After inserting the data, we retrieve it from the table using a SELECT statement. The fetchall() method returns all rows as a list, which we iterate over and display the title, author, and year of each book.
fetchall()
Finally, we close the database connection to ensure proper cleanup.
You can run this program to see the database creation, data insertion, and retrieval in action. Make sure to have the sqlite3 module installed and adjust the database file path as needed.
< Previous Next >