x = 10
y = 20.5
name = "Julia"

sum = x + y
product = x * y
quotient = y / x

println("Hello, World!")
println("Sum: $sum, Product: $product, Quotient: $quotient")

a = 5     # Integer
b = 5.5   # Floating-point

greeting = "Hello, Julia!"

array = [1, 2, 3, 4, 5]

dict = Dict("one" => 1, "two" => 2)

if x > y
    println("x is greater than y")
else
    println("x is not greater than y")
end

for i in 1:5
    println(i)
end

i = 1
while i <= 5
    println(i)
    i += 1
end

function add(a, b)
    return a + b
end

result = add(5, 7)
println("Result: $result")

square = x -> x^2
println(square(4))

using Pkg
Pkg.add("DataFrames")

using DataFrames

df = DataFrame(A = 1:4, B = ["A", "B", "C", "D"])
println(df)

using CSV
using DataFrames

df = CSV.read("data.csv", DataFrame)

df_subset = df[df.A .> 2, :]

using Plots

plot(df.A, df.B, label="Line")

using LinearAlgebra

A = [1 2; 3 4]
b = [5, 6]

x = A \ b   # Solving linear systems
println(x)

eigvals = eigen(A).values
eigvecs = eigen(A).vectors
println(eigvals)
println(eigvecs)

U, S, V = svd(A)
println(U)
println(S)
println(V)

macro sayhello()
    return :(println("Hello, world!"))
end

@sayhello

using Distributed

addprocs(4)  # Adding 4 worker processes

@distributed for i in 1:100
    println(i)
end