Automatic commit performed through alias...
This commit is contained in:
@@ -102,7 +102,6 @@ def evenly_divisible(candidate: int,factors: list):
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@decorators.function_timer
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def main():
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# Receive problem inputs...
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smallest_factor = 1
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largest_factor = 5
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@@ -114,7 +113,6 @@ def main():
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maximum_solution_bound *= f
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common = []
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product = 1
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#
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# Brute force method below breaks down
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# and doesn't scale well ...
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@@ -4,16 +4,27 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Problem 5:\n",
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"# Problem 5:\n",
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"\n",
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"2520 is the smallest number that can be divided by each of the numbers from 1 to 10 without any remainder.\n",
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"[Euler Project #5](https://projecteuler.net/problem=5)\n",
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"\n",
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"What is the smallest positive number that is evenly divisible by all of the numbers from 1 to 20?\n"
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"> *2520 is the smallest number that can be divided by each of the numbers from 1 to 10 without any remainder.*\n",
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"> *What is the smallest positive number that is evenly divisible by all of the numbers from 1 to 20?*\n",
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"\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Reserved Space For Imports\n",
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"---"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -25,6 +36,134 @@
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"import numpy"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Reserved Space For Method Definition\n",
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"---"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"def primes_gen(start_n: int,max_n: int):\n",
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" \"\"\"\n",
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" Returns a generator object, containing the \n",
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" primes inside a specified range.\n",
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" primes_gen(start_n,max_n)\n",
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" param 'start_n': Previous prime.\n",
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" param 'max_n': Maximum integer allowed to be returned. Quit if reached.\n",
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" \"\"\"\n",
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" start_n += 1\n",
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" for candidate in range(start_n,max_n):\n",
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" notPrime = False\n",
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" \n",
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" if candidate in [0,1,2,3]:\n",
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" yield candidate\n",
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" for dividend in range(2,candidate):\n",
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" \n",
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" if candidate%dividend == 0:\n",
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" notPrime = True\n",
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" \n",
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" if not notPrime:\n",
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" yield candidate"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"def evenly_divisible(candidate: int,factors: list):\n",
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" \"\"\"\n",
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" Determines if the supplied integer candidate is \n",
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" evenly divisble by the supplied list of factors.\n",
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" \n",
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" evenly_divisible(candidate: int, factors: list)\n",
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"\n",
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" param 'candidate': Integer to be tested.\n",
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" param 'factors': List of factors for the modulus operator.\n",
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" \n",
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" \"\"\"\n",
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" \n",
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" modulus_sum = 0\n",
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"\n",
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" for n in factors:\n",
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" modulus_sum += candidate%n\n",
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" \n",
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" if modulus_sum == 0: \n",
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" return True\n",
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" else:\n",
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" return False"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 1. Begin with testing the problem statement's example case.\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"*Mathematically, the trick is to recognize that this a LCM (Least Common Multiple) problem. The solution is list all the prime factors of each number in the factor list, then compute their collective product.*\n",
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"\n",
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" - [x] Create the list of factors, prescribed by the problem statement. Use a list.\n",
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" - [ ] Generate a list of prime factors for each of the factors. Use a list of list.\n",
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" - [ ] For each of the unique prime factors found in the previous list of lists, \n",
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" find the factor for which the \n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Receive problem inputs...\n",
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"smallest_factor = 1\n",
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"largest_factor = 10\n",
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"\n",
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"# Compute intermediate inputs\n",
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"factor_list = [int(i) for i in range(smallest_factor,largest_factor+1)]\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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46
problems/006_problem.py
Executable file
46
problems/006_problem.py
Executable file
@@ -0,0 +1,46 @@
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#!/usr/bin/env python
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# Problem 6:
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#
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# The sum of the squares of the first ten natural numbers is,
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# 1^2+2^2+...+10^2=385
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#
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# The square of the sum of the first ten natural numbers is,
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# (1+2+...+10)^2=55^2=3025
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#
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# Hence the difference between the sum of the squares of the first ten natural numbers and the square of the sum is 3025−385=2640
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#
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# Find the difference between the sum of the squares of the first one hundred natural numbers and the square of the sum.
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#
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#
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# Standard Imports:
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# -------------------
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import time # Typically imported for sleep function, to slow down execution in terminal.
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import typing
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import sys
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import pprint
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# Imports from Virtual Environment for this Project:
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# ---------------------------------------------------
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sys.path.append('/home/shaun/code/github/euler_project/py_euler_project/venv')
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import numpy
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# Imports from Modules Built for this Project:
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# -----------------------------------------------
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sys.path.append('/home/shaun/code/github/euler_project/py_euler_project/problems')
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import decorators
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@decorators.function_timer
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def main():
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pass
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main()
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176
problems/006_problem_jnotebook.ipynb
Normal file
176
problems/006_problem_jnotebook.ipynb
Normal file
@@ -0,0 +1,176 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Problem 6:\n",
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"\n",
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"[Euler Project #6](https://projecteuler.net/problem=6)\n",
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"\n",
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"> *The sum of the squares of the first ten natural numbers is,\n",
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"1^2+2^2+...+10^2=385\n",
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"\n",
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">The square of the sum of the first ten natural numbers is,\n",
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"(1+2+...+10)^2=55^2=3025\n",
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"\n",
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">Hence the difference between the sum of the squares of the first ten natural numbers and the square of the sum is 3025−385=2640.\n",
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"\n",
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">Find the difference between the sum of the squares of the first one hundred natural numbers and the square of the sum.*\n",
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"\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Reserved Space For Imports\n",
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"---"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
|
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"import os\n",
|
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"import pprint\n",
|
||||
"import time # Typically imported for sleep function, to slow down execution in terminal.\n",
|
||||
"import typing\n",
|
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"import decorators # Typically imported to compute execution duration of functions.\n",
|
||||
"import numpy"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
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"metadata": {},
|
||||
"source": [
|
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"## Reserved Space For Method Definition\n",
|
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"---"
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]
|
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
|
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"def sum_of_squares(i: int,j: int):\n",
|
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" '''\n",
|
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" Function that computes the sum of a series of squared integers.\n",
|
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" '''\n",
|
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" series = [k**2 for k in range(i,j+1)]\n",
|
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" #pprint.pprint(series)\n",
|
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" summ = sum(series)\n",
|
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" return summ"
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]
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},
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{
|
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
|
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"def square_of_sum(m: int,n: int):\n",
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" '''\n",
|
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" Function that computes the square of a summation of a series of integers.\n",
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" '''\n",
|
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" series = [p for p in range(m,n+1)]\n",
|
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" summ = sum(series)**2\n",
|
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" #print(summ)\n",
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" return summ"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
|
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{
|
||||
"cell_type": "markdown",
|
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"metadata": {},
|
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"source": [
|
||||
"## 1. Begin with testing the problem statement's example case.\n",
|
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"---"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
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"source": [
|
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"*Mathematically, the trick is to recognize that this a LCM (Least Common Multiple) problem. The solution is list all the prime factors of each number in the factor list, then compute their collective product.*\n",
|
||||
"\n",
|
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" - [ ] Create a method that performs the first computation.\n",
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" - [ ] Create a method that performs the second computation.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
|
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"name": "stdout",
|
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"output_type": "stream",
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"text": [
|
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"25164150\n"
|
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]
|
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}
|
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],
|
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"source": [
|
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"# Receive problem inputs...\n",
|
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"smallest_factor = 1\n",
|
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"largest_factor = 100\n",
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"\n",
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"a = square_of_sum(smallest_factor,largest_factor) - sum_of_squares(smallest_factor,largest_factor)\n",
|
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"print(a)\n"
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]
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},
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{
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"cell_type": "code",
|
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
|
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},
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{
|
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"cell_type": "code",
|
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"execution_count": null,
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"metadata": {},
|
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"outputs": [],
|
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"source": []
|
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},
|
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{
|
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"cell_type": "code",
|
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"execution_count": null,
|
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"metadata": {},
|
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"outputs": [],
|
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"source": []
|
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}
|
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],
|
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"metadata": {
|
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"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.2"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
331
problems/008_problem_jnotebook.ipynb
Normal file
331
problems/008_problem_jnotebook.ipynb
Normal file
@@ -0,0 +1,331 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Problem 8:\n",
|
||||
"\n",
|
||||
"[Euler Project #8](https://projecteuler.net/problem=8)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"> The four adjacent digits in the 1000-digit number that have the greatest product are 9 × 9 × 8 × 9 = 5832.\n",
|
||||
"\n",
|
||||
"> 73167176531330624919225119674426574742355349194934\n",
|
||||
"96983520312774506326239578318016984801869478851843\n",
|
||||
"85861560789112949495459501737958331952853208805511\n",
|
||||
"12540698747158523863050715693290963295227443043557\n",
|
||||
"66896648950445244523161731856403098711121722383113\n",
|
||||
"62229893423380308135336276614282806444486645238749\n",
|
||||
"30358907296290491560440772390713810515859307960866\n",
|
||||
"70172427121883998797908792274921901699720888093776\n",
|
||||
"65727333001053367881220235421809751254540594752243\n",
|
||||
"52584907711670556013604839586446706324415722155397\n",
|
||||
"53697817977846174064955149290862569321978468622482\n",
|
||||
"83972241375657056057490261407972968652414535100474\n",
|
||||
"82166370484403199890008895243450658541227588666881\n",
|
||||
"16427171479924442928230863465674813919123162824586\n",
|
||||
"17866458359124566529476545682848912883142607690042\n",
|
||||
"24219022671055626321111109370544217506941658960408\n",
|
||||
"07198403850962455444362981230987879927244284909188\n",
|
||||
"84580156166097919133875499200524063689912560717606\n",
|
||||
"05886116467109405077541002256983155200055935729725\n",
|
||||
"71636269561882670428252483600823257530420752963450\n",
|
||||
"\n",
|
||||
"> Find the thirteen adjacent digits in the 1000-digit number that have the greatest product. What is the value of this product?\n",
|
||||
"\n",
|
||||
"---"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Reserved Space For Imports\n",
|
||||
"---"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"import pprint\n",
|
||||
"import time # Typically imported for sleep function, to slow down execution in terminal.\n",
|
||||
"import typing\n",
|
||||
"import decorators # Typically imported to compute execution duration of functions.\n",
|
||||
"import numpy\n",
|
||||
"import pandas"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Reserved Space For Method Definition\n",
|
||||
"---"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Can we describe a few approaches to solving this problem?\n",
|
||||
"---"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"*Let's discuss a few ways to work through this, then select one to implement.*\n",
|
||||
"\n",
|
||||
" 1. Create a 2D array in which we can place each candidate series of integers.\\\n",
|
||||
" A column vector can also be created in which can store the product of each series.\\\n",
|
||||
" If we zip these arrays together, sort on the product column, we can identify the\\\n",
|
||||
" the maximum product and its associate string of integers.\n",
|
||||
"<br/>\n",
|
||||
"<br/>\n",
|
||||
" 2. Create an array (of the specified length) to store a series of integers from the input\\\n",
|
||||
" number. Allow this to be an array that we use to compute the a product. It will shift as we\\\n",
|
||||
" slide along the input number. A second array of identical dimension, plus an additional place,\\\n",
|
||||
" could store the largest product, and the associated list of integers. \n",
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Let's try the first approach!"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"#### 1. a) Take in problem statement information."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# problem statement input 1000 digit integer\n",
|
||||
"input_list = [int(n) for n in \"\\\n",
|
||||
"73167176531330624919225119674426574742355349194934\\\n",
|
||||
"96983520312774506326239578318016984801869478851843\\\n",
|
||||
"85861560789112949495459501737958331952853208805511\\\n",
|
||||
"12540698747158523863050715693290963295227443043557\\\n",
|
||||
"66896648950445244523161731856403098711121722383113\\\n",
|
||||
"62229893423380308135336276614282806444486645238749\\\n",
|
||||
"30358907296290491560440772390713810515859307960866\\\n",
|
||||
"70172427121883998797908792274921901699720888093776\\\n",
|
||||
"65727333001053367881220235421809751254540594752243\\\n",
|
||||
"52584907711670556013604839586446706324415722155397\\\n",
|
||||
"53697817977846174064955149290862569321978468622482\\\n",
|
||||
"83972241375657056057490261407972968652414535100474\\\n",
|
||||
"82166370484403199890008895243450658541227588666881\\\n",
|
||||
"16427171479924442928230863465674813919123162824586\\\n",
|
||||
"17866458359124566529476545682848912883142607690042\\\n",
|
||||
"24219022671055626321111109370544217506941658960408\\\n",
|
||||
"07198403850962455444362981230987879927244284909188\\\n",
|
||||
"84580156166097919133875499200524063689912560717606\\\n",
|
||||
"05886116467109405077541002256983155200055935729725\\\n",
|
||||
"71636269561882670428252483600823257530420752963450\"]\n",
|
||||
"\n",
|
||||
"# problem statement request series length\n",
|
||||
"series_len = 13"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"#### 1. b) Build out the candidate array. "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# number of possible integer-series candidates\n",
|
||||
"rows = len(input_list) - series_len\n",
|
||||
"# length of the requested series, plus an additional column to store the product\n",
|
||||
"columns = series_len + 1\n",
|
||||
"\n",
|
||||
"# construct the array with placeholder values\n",
|
||||
"array = numpy.array(numpy.ones((rows,columns)))\n",
|
||||
"\n",
|
||||
"# loop for each candidate\n",
|
||||
"for i in range(rows):\n",
|
||||
" # loop to fill out each candidate and store its product in the last column\n",
|
||||
" for j in range(series_len):\n",
|
||||
" \n",
|
||||
" array[i][j] = input_list[i+j]\n",
|
||||
" array[i][-1] *= array[i][j]\n",
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"#### 1. c) Cheat by using pandas to print out the maximum product and its associated series of integers. "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"df = pandas.DataFrame(array)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div>\n",
|
||||
"<style scoped>\n",
|
||||
" .dataframe tbody tr th:only-of-type {\n",
|
||||
" vertical-align: middle;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe tbody tr th {\n",
|
||||
" vertical-align: top;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe thead th {\n",
|
||||
" text-align: right;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th>0</th>\n",
|
||||
" <th>1</th>\n",
|
||||
" <th>2</th>\n",
|
||||
" <th>3</th>\n",
|
||||
" <th>4</th>\n",
|
||||
" <th>5</th>\n",
|
||||
" <th>6</th>\n",
|
||||
" <th>7</th>\n",
|
||||
" <th>8</th>\n",
|
||||
" <th>9</th>\n",
|
||||
" <th>10</th>\n",
|
||||
" <th>11</th>\n",
|
||||
" <th>12</th>\n",
|
||||
" <th>13</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>197</th>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>7.0</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>8.0</td>\n",
|
||||
" <td>9.0</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>4.0</td>\n",
|
||||
" <td>8.0</td>\n",
|
||||
" <td>9.0</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>2.351462e+10</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" 0 1 2 3 4 5 6 7 8 9 10 11 12 \\\n",
|
||||
"197 5.0 5.0 7.0 6.0 6.0 8.0 9.0 6.0 6.0 4.0 8.0 9.0 5.0 \n",
|
||||
"\n",
|
||||
" 13 \n",
|
||||
"197 2.351462e+10 "
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"df.sort_values(by=series_len,ascending=False).head(1)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
169
problems/009_problem_jnotebook.ipynb
Normal file
169
problems/009_problem_jnotebook.ipynb
Normal file
@@ -0,0 +1,169 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Problem 9:\n",
|
||||
"\n",
|
||||
"[Euler Project #9](https://projecteuler.net/problem=9)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
">A Pythagorean triplet is a set of three natural numbers, a < b < c, for which,\n",
|
||||
"a2 + b2 = c2\n",
|
||||
"\n",
|
||||
">For example, 3^2 + 4^2 = 9 + 16 = 25 = 5^2.\n",
|
||||
"\n",
|
||||
">There exists exactly one Pythagorean triplet for which a + b + c = 1000.\n",
|
||||
"Find the product abc.\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"---"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Reserved Space For Imports\n",
|
||||
"---"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"import pprint\n",
|
||||
"import time # Typically imported for sleep function, to slow down execution in terminal.\n",
|
||||
"import typing\n",
|
||||
"import decorators # Typically imported to compute execution duration of functions.\n",
|
||||
"import numpy\n",
|
||||
"import pandas"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Reserved Space For Method Definition\n",
|
||||
"---"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Can we describe a few approaches to solving this problem?\n",
|
||||
"---"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"*Let's discuss a few ways to work through this, then select one to implement.*\n",
|
||||
"\n",
|
||||
" 1. Create a 2D array in which we can place each candidate series of integers.\\\n",
|
||||
" A column vector can also be created in which can store the product of each series.\\\n",
|
||||
" If we zip these arrays together, sort on the product column, we can identify the\\\n",
|
||||
" the maximum product and its associate string of integers.\n",
|
||||
"<br/>\n",
|
||||
"<br/>\n",
|
||||
" 2. Create an array (of the specified length) to store a series of integers from the input\\\n",
|
||||
" number. Allow this to be an array that we use to compute the a product. It will shift as we\\\n",
|
||||
" slide along the input number. A second array of identical dimension, plus an additional place,\\\n",
|
||||
" could store the largest product, and the associated list of integers. \n",
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Let's try the first approach!"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"#### 1. a) Take in problem statement information."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"#### 1. b) Build out the candidate array. "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"#### 1. c) Cheat by using pandas to print out the maximum product and its associated series of integers. "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
Reference in New Issue
Block a user