Momellouky

import numpy as np
from sklearn.preprocessing import add_dummy_feature


class LinearRegression:
    def __init__(self):
        self.X = None
        self.y = None
        self.theta = None
        self.coaf_ = None

Momellouky

def binary_search(data, param) -> bool : 
    
    found = False # To handle recursive calls 
    
    if len(data) == 0 : 
        return None 
        
    if len(data) == 2 : 
        if data[0] == param or data[1] == param : 
            return True

Momellouky

def linear_search(data, param) -> bool : 
    for el in data : 
        if el == param : # We found it 
            return True

    return False
    
if __name__ == '__main__' : 
    data = [ 7, 10, 3, 1, 66, 6 ]
    param = 1 # The integer we are looking for in the array

Momellouky

std::shared_ptr<Type> sp;
Type* ptr = new Type();
sp = ptr ; // compiler error!!!

Momellouky

class Type {
  public:
    foo();
}
Type::foo(){
  // Doing something
}