How do I install other kernels for notebook?

Section 1: R Kernel

R is a programming language mainly used for statistics and data analysis. The R kernel allows you to run R code inside Jupyter notebooks.

In this notebook, we install the IRkernel to use R in Jupyter. Once installed, we can write R code to perform data analysis, generate plots, and work with data frames just like in the RStudio environment.

# 1. Update system packages:
sudo apt update && sudo apt upgrade -y

# 2. Install R:
sudo apt install r-base -y

# 3. Install IRkernel in R:
R

# 4. In the R console, run:
install.packages('IRkernel')
IRkernel::installspec(user = FALSE)

# 5. Exit R:
q()

# 6. Verify by launching Jupyter:
jupyter lab --ip=0.0.0.0 --no-browser

(Click on the link that starts with 127.0.0.)

In the R-notebook:

# 1. Print a simple message
print("Hello, Jupyter with R!")

# 2. Create a sequence of numbers from 1 to 10
numbers <- 1:10
print(numbers)

# 3. Calculate the mean of a numeric vector
mean_value <- mean(numbers)
print(paste("The mean is:", mean_value))

# 4. Plot a simple graph
plot(numbers, main="Basic Line Plot", type="o", col="blue")

# 5. Create a simple data frame and display it
data <- data.frame(
  Name = c("John", "Jane", "Paul"),
  Age = c(23, 35, 28),
  Score = c(88, 92, 79)
)
print(data)

# 6. Summarize the data frame
summary(data)

Section 2: Octave Kernel

Octave is a high-level programming language mostly compatible with MATLAB. The Octave kernel allows you to run Octave code inside Jupyter notebooks.

In this notebook, we install the Octave kernel to work with matrix operations, plotting, and solving linear equations in a MATLAB-like syntax. This is useful for users who prefer open-source tools for numerical computing.

# 1. Update system packages:
sudo apt update && sudo apt upgrade -y

# 2. Install Octave:
sudo apt install octave -y

# 3. Install the Octave kernel:
pip install octave_kernel

# 4. Verify the kernel is installed:
jupyter kernelspec list

# 5. Launch Jupyter Notebook:
jupyter lab --ip=0.0.0.0 --no-browser

In Octave notebook

# 1. Print a simple message
disp("Hello, Jupyter with Octave!");

# 2. Create a matrix and display it
A = [1, 2, 3; 4, 5, 6; 7, 8, 9];
disp("Matrix A:");
disp(A);

# 3. Perform a matrix multiplication
B = A * A';
disp("Matrix multiplication result (A * A'):");
disp(B);

# 4. Plot a simple sine wave
x = linspace(0, 2 * pi, 100);
y = sin(x);
plot(x, y);
title("Sine Wave");
xlabel("x");
ylabel("sin(x)");

# 5. Solve a linear system of equations (Ax = b)
b = [1; 2; 3];
x = A \ b;
disp("Solution to Ax = b:");
disp(x);