Sample Programs Documentation

This section provides a collection of sample programs to help you explore and understand the capabilities of our platform. Whether you are a beginner or an experienced developer, these examples can serve as a starting point for your own projects.

Getting Started

Here's a simple example of a "Hello, World!" program in Python:

print("Hello, World!")

For more advanced examples, check out our Python Documentation.

Image Processing

If you're interested in image processing, this example demonstrates how to read and display an image using OpenCV:

import cv2

# Read the image
image = cv2.imread('image.jpg')

# Display the image
cv2.imshow('Image', image)
cv2.waitKey(0)
cv2.destroyAllWindows()

For more image processing examples, visit our Image Processing Documentation.

Machine Learning

For those looking to delve into machine learning, here's a basic example using scikit-learn:

from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier

# Load the dataset
iris = load_iris()
X = iris.data
y = iris.target

# Split the dataset
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)

# Create a classifier
clf = RandomForestClassifier()

# Train the classifier
clf.fit(X_train, y_train)

# Make predictions
predictions = clf.predict(X_test)

# Evaluate the classifier
accuracy = clf.score(X_test, y_test)

For more machine learning examples, see our Machine Learning Documentation.

Conclusion

These sample programs are designed to give you a taste of what you can achieve with our platform. We encourage you to explore further and create your own projects. Happy coding! 🚀