Data Science Standards: Python OOP

Part 3 of 43

This is the third in a series of questions and answers about core data science topics. See more standards on my Data Science Standards page.

3. OOP

Given the code for a python class, instantiate a python object and call the methods and list the attributes.

Write the python code for a simple class.

class ClassName:
  def __init__(self, parameter1, p2):
    self.var = parameter1
    self.var2 = p2

  def __repr__(self):
  """Return a text description."""
    return "{} of {}".format(self.var, self.var2)

  @property # Field can't be changed w/o making setter (@color.setter)
  def color(self):
    return self._c_map[self.p2]

  def __call__(self, elem):
  '''Perform map operation on an element'''
    return self._impl(elem)

  def _impl(self, elem):
    pass

  def method_name(self, p3):
    self.var2 += self.var * p3

Match key “magic” methods to their functionality. Full list/tutorial here: http://www.diveintopython3.net/special-method-names.html

Design a program or algorithm in object oriented fashion.

Compare and contrast functional and object oriented programming.

In OOP the user creates and defines a new data type, which it's own attributes (data), and methods (operations). This new class can then be used to create objects.
In functional programming, your program just uses functions and does not create an entirely new class to organize data around.
Functional programming typically is faster, takes up less memory, but can less organized and difficult for humans to interpret if there's a lot going on.

Data Science Standards: Version Control & Git

Part 2 of 43

This is the second in a series of questions and answers about core data science topics. See more standards on my Data Science Standards page.

2. Version Control / Git

Explain the basic function and purpose of version control.
- VC allows you to modify code while always …

Part 1 of 43

This is the first in a series of questions and answers about core data science topics. See more standards on my Data Science Standards page.

1. Python

Explain the difference between mutable and immutable types and their relationship to dictionaries.
- Mutable - Refers to a data structure …

Welcome to the Machine Learning Blog

Other articles

Data Science Standards: Version Control & Git

Part 2 of 43

2. Version Control / Git

Data Science Standards: Python

Part 1 of 43

1. Python

Other articles

Part 2 of 43

2. Version Control / Git

Part 1 of 43

1. Python

links

social