How To Enable Remote Desktop Protocol Using xrdp on On Ubuntu 24.04 LTS

XRDP is a tool used for connecting to an Ubuntu or other Linux system via Remote Desktop Protocol (RDP). It provides remote access to your Linux desktop environment from a Windows machine or any other RDP-compatible client. Additionally, it also offers a graphical user interface for managing the system remotely. 
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Testing Environment: Ubuntu 24.04.1 LTS                   Hostname -                       ip Address - 
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apt update ; apt install build-essential net-tools curl git software-properties-common 
sudo apt install xrdp -y
sudo adduser xrdp ssl-cert
sudo systemctl restart xrdp ; sudo systemctl status xrdp 
sudo ufw allow 3389
sudo ufw allow from [IP_Address] to any port 3389
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How to Run a Python Script on Ubuntu 24.04.2 LTS

Running a Python script on Ubuntu is a fundamental skill for developers, system administrators, and data scientists. Whether you’re automating tasks, running a web server, or training a machine learning model, understanding the proper execution methods is essential. This article provides a comprehensive overview of how to run Python scripts on Ubuntu, covering everything from basic commands to professional best practices.

Python is a programming language that is interpreted, object-oriented, and considered to be high-level.|
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Testing Environment: Ubuntu 24.04.2 LTS                   Hostname -                       ip Address - 
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lsb_release -a
apt update ; apt install build-essential net-tools curl git software-properties-common 
python3 --version
sudo apt install python3 python3-venv python3-pip
cd ~/path-to-your-script-directory

nano demo_ai.py
from sklearn.tree import DecisionTreeClassifier
import numpy as np
import random

# Generate sample data
x = np.array([[i] for i in range(1, 21)])  # Numbers 1 to 20
y = np.array([i % 2 for i in range(1, 21)])  # 0 for even, 1 for odd

# Create and train the model
model = DecisionTreeClassifier()
model.fit(x, y)

# Function to predict if a number is odd or even
def predict_odd_even(number):
    prediction = model.predict([[number]])
    return "Odd" if prediction[0] == 1 else "Even"

if __name__ == "__main__":
    num = random.randint(0, 20)
    result = predict_odd_even(num)
    print(f"The number {num} is an {result} number.")

python3 -m venv python-env
source python-env/bin/activate
pip install scikit-learn numpy

Run Python Script -   python3 demo_ai.py

Script Executable [OPTIONAL] - 
nano demo_ai.py
#!/usr/bin/env python3
chmod +x demo_ai.py
./demo_ai.py
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