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]]