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def distance(u, v):
    """
    Calculates Euclidean distance between two point
    distance = square_root( sum(u_i - v_i)^2 )
    
    u: [float, float], point1
    v: [float, float], point2
    """
    sum_ = sum((u[i] - v[i]) ** 2 for i in range(len(u)))
    return sum_ ** (1 / 2)

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# --- Code Book: Python Algorithms
# --- Source   : github.com/keon/algorithms.git

#========================================================================================================================
#		:: tree/path_sum.py ::
#========================================================================================================================
|  1| """
|  2| Given a binary tree and a sum, determine if the tree has a root-to-leaf
|  3| path such that adding up all the values along the path equals the given sum.
|  4| 

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^{Date: 4/27/2020}

Why need metaprogramming? (maybe metaclass?)

Scenario:

• I want to have a single Interface Class that has a Base Implementation Class with multiple instance implementations for other Inheriting Classes

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Classical Programming vs. Machine Learning Programming:

e.g.

source:

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from __future__ import annotations
from functools import lru_cache, wraps

from psycopg2 import connect
from pandas import read_sql, DataFrame


class RedshiftDB:
    """Redshift Database Hook
    USAGE:

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