
Learn to create and use variables in Python with practical steps: name variables, assign values with =, and print the results using the print function for numeric and character data.
Explore Python operators grounded in math, including addition, subtraction, multiplication, division, exponents, and modules. Practice with variables and print statements to perform and display arithmetic results.
Learn how to use assignment operators, including =, *=, -=, and /=, to assign and update variable values, print results, and simplify operations.
Learn how conditional structures work by evaluating student grades to determine pass or fail, with cases for over 80, 50–80, and below 50, and that only one condition applies.
Learn how loops in Python iterate over sequences, using a for loop to traverse lists and sum numbers with practical code examples and clear output demonstrations.
Explore defining and calling Python functions with parameters, indentation, and return values; implement hello and addition functions, calling them in the main block to produce outputs.
Learn how the Python return keyword sends a value from a function to the main program, with an example adding x and y and printing the result.
Install the Raspberry Pi operating system on an SD card with the Raspberry Pi Imager, selecting 64‑bit or 32‑bit, writing the image, and inserting the card.
Learn to remotely connect a raspberry pi using vnc viewer by enabling vnc via raspi-config, installing the viewer on Windows, and using the pi's ip address to establish the session.
learn to control an LED on a Raspberry Pi using GPIO Zero in Python, wiring it to pin 17 via a breadboard and jumper cables, and test with time.sleep.
Read an image as a pixel matrix using OpenCV in Python and display it on the Raspberry Pi screen with imread, imshow, and waitKey, adjusting display duration.
Resize images with OpenCV in Python by using cv2.resize, read an image, and display the original and resized images with imshow on a Raspberry Pi.
Learn to save an image with the OpenCV module by reading and resizing it, then writing it to a new file using cv2.imread, cv2.resize, and cv2.imwrite.
Explore video operations with OpenCV on Raspberry Pi, including opening and playing videos, validating file names, checking video is opened, using release and destroy all windows to ensure clean exits.
Learn how to connect and enable the Raspberry Pi camera via the CSI interface, configure raspi-config to enable camera support, and capture images with raspistill for image processing projects.
Learn to control the Raspberry Pi camera with Python using the Pi Camera module, set resolution, start a preview, and capture images such as room.jpg and room1.jpg.
learn to use the Raspberry Pi camera as a webcam by capturing continuous frames, converting them to an array, and displaying them with OpenCV in a Python program.
Learn to draw a rectangle on an image using OpenCV, using a starting and ending point, with cv2.rectangle, reading the image, and displaying it via cv2.imshow on a Raspberry Pi.
Use the OpenCV module and cv2.putText to print text on an image in Python, adjusting the starting point, font, font scale, color, and thickness, then display the result with imshow.
Hello everyone,
Welcome to the introduction of my Raspberry Pi Boot Camp course. Nowadays, image processing, computer vision and Python programming language are becoming very popular. With Raspberry Pi Boot Camp course, we will take a closer look at the Raspberry Pi computer and learn in detail. We will learn about the GPIO pins on the computer and have information about digital input and output. Thus, when you finish the course, you will be able to use the GPIO pins. We will also introduce computer vision and learn about the OpenCV library. Not limited to this, we will learn to control the Raspberry Pi camera with OpenCV. Moreover, we will introduce Machine learning and learn how to detect face using Raspberry Pi computer.
Since the course was created as a result of years of academic and technical experience, you will be able to carry out your own machine learning projects together with Jetson Nano when you finish the course.
Oh, and you also get a 30 days money-back guarantee if you’re not fully satisfied.
See you in the course!
No previous programming or electronics knowledge is required.
"You are never too old to set another goal or to dream a new dream." - C.S.Lewis
"Do the difficult things while they are easy and do the great things while they are small. A journey of a thousand miles begins with a single step" - Lao Tzu
You get the best information that I have compiled over years of trial and error and experience!
Best wishes,
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