Essential Python for Machine Learning

Python has some standards, it need to be written in an idiomatic way called pythonic way. The key characteristics include:

  1. Readability:

    Following PEP 8 guidelines for code formatting and style:

    # Non-Pythonic
    def myfunction(x,y,z):
        result = x+y+z
        return result
    
    # Pythonic
    def my_function(x, y, z):
        result = x + y + z
        return result
    

    Please go through all the rules in the provided source

  2. Use of Python's built-in features (idioms) :

    Using the sum() function instead of writing a custom summation loop:

    # Non-Pythonic
    total = 0
    for num in [1, 2, 3, 4, 5]:
        total += num
    
    # Pythonic
    total = sum([1, 2, 3, 4, 5])
  3. List comprehensions:

    Creating a new list with a list comprehension:

    # Non-Pythonic
    squares = []
    for num in [1, 2, 3, 4, 5]:
        squares.append(num ** 2)
    
    # Pythonic
    squares = [num ** 2 for num in [1, 2, 3, 4, 5]]