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class strReplace: def strReplace(self,str1,reStr): str1 = str1.replace(" ", reStr, 1) return str1 str1 = "hello world" str1 =strReplace().strReplace(str1,"$") print(str1)
from typing import List g_list: List[str] = [] while True: person = input() if person == '.': break else: g_list.append(person) print(g_list) print(len(g_list))
while True: current_number = int(input()) if 10 <= current_number <= 100: print(current_number) elif current_number < 10: continue else: break
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu May 3 18:58:29 2018 @author: seele """ import sys from random import seed, randrange from queue_adt import * def display_grid(): for i in range(len(grid)): print(' ', ' '.join(str(grid[i][j]) for j in range(len(grid[0])))) def find_...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Apr 8 14:32:46 2018 @author: seele """ import sys import statistics file_name = input('Which data file do you want to use? ') L1=[] L2=[] try: f = open(file_name) R = f.readlines() #read is look at every line in the file if (R==[]): ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Apr 10 18:32:17 2018 @author: seele """ def fibo(n): if n <= 1: return n return fibo(n-1)+fibo(n-2) #复杂每次都要算前面 指数级增长 def fibo_1(n): if n <= 1: return n previours, current = 0, 1 for _ in range(2,n+1): previou...
# Written by Eric Martin for COMP9021 import re from functools import partial from binary_tree_adt import BinaryTree ''' Builds a parse tree for an expression generated by the grammar: EXPRESSION --> EXPRESSION TERM_OPERATOR TERM EXPRESSION --> TERM TERM --> TERM...
# Written by Eric Martin for COMP9021 ''' A Doubly Linked List abstract data type ''' from copy import deepcopy class Node: def __init__(self, value = None): self.value = value self.next_node = None self.previous_node = None class DoublyLinkedList: def __init__(self, L = None, ke...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Mar 28 11:07:17 2018 @author: seele """ # Uses National Data on the relative frequency of given names in the population of U.S. births, # stored in a directory "names", in files named "yobxxxx.txt with xxxx being the year of birth. # # Prompts the user...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue May 8 23:47:15 2018 @author: seele """ # Randomly generates a binary search tree whose number of nodes # is determined by user input, with labels ranging between 0 and 999,999, # displays it, and outputs the maximum difference between consecutive leav...
class User: #fields and method definitions def __init__ (self,name,number): self.name=name self.genders=[] self.countries=[] self.age=number self.hungry=False def password(self,password): self.password=password input_name= input('What is your name?') input_a...
i=int(input("Enter Score: ")) while(i>-1): print(i) i=int(input("Enter Score: ")) if i ==-1: break
#!/usr/bin/python # Import the required modules import cv2 import os import numpy as np from PIL import Image from utils import Utilities as uti face_size = 70 # For face detection we will use the Haar Cascade provided by OpenCV. cascadePath = "/home/daniel/opencv/data/haarcascades/haarcascade_frontalface_default.xm...
class Node: def __init__(self,value): self.value=value self.next=None class LinkedList: def __init__(self): self.head = None def add(self, data): node = Node(data) if not self.head: self.head = node else: current = self.head ...
import numpy import math #import pyfftw def power( x, dt = 1., nbin = 1, binsize = 0, detrend = False, Bartlett = False, Welch = False, Hann = False, useRegular = False): """ Take the power spectrum of input x. dt is the time sample spacing (seconds). Can break a long input ...
# Importing tkinter from tkinter import * # creating the window instance win = Tk() # We dont want the window to be resizeable win.resizeable(0, 0) # Giving a geometry to our window win.geometry("400*300") # Title of the application win.title("MEGA-CALCULATOR") # Defining all our needed functions to make the calcu...
# JESUS SALVADOR VALLES MACIEL #CARRERA: INFORMATICA #DESARROLLO DE APLICACIONES WEB #PRACTICA 2.1 VOTOS #mostramos las opciones que tienen print(""" 1) AMARILLO 3) MORADO 2) ROJO """) #definimos las variables que usaremos, asi como las librerias import random A = (0) B = (0) C ...
class Card: def __init__(self, figure, color): self.figure = figure self.color = color @property def value(self): if self.figure in ['K', 'Q', 'J']: return 10 elif self.figure in ['2', '3', '4', '5', '6', '7', '8', '9', '10']: return int(self.figure) ...
import csv import os file_to_load = "budget_data.csv" file_to_output = "budget_analysis.txt" #defining total_months = 0 month_of_change = [] revenue_change_list = [] greatest_increase = ["", 0] greatest_decrease = ["", 9999999999999999999] total_revenue = 0 # Read and convert it into a list with open(file_to_load)...
# coding: utf-8 import pandas as pd df1 = pd.DataFrame([[1,2],[2,3],[9,4]], columns=['a','b']) df2 = pd.DataFrame([[9,2],[2,3],[1,4]], columns=['a','b']) print "original : df1" print df1 print "original : df2" print df2 print "corr ( col <-> col )" print df1['a'].corr(df2['b']) print "corrwith ( df <-> df )" print...
Below is code with a link to a happy or sad dataset which contains 80 images, 40 happy and 40 sad. Create a convolutional neural network that trains to 100% accuracy on these images, which cancels training upon hitting training accuracy of >.999 Hint -- it will work best with 3 convolutional layers. import tensorflow...
from typing import List # TODO Revise # class Node: # def __init__(self, data: int): # self.data = data # self.parent = None # # # class TreeAncestor: # # def __init__(self, n: int, parent: List[int]): # self.root, self.node_dict = self.populateTree(parent) # self.total_nodes =...
#******* #* Read input from STDIN #* Use: echo or print to output your result to STDOUT, use the /n constant at the end of each result line. #* Use: sys.stderr.write() to display debugging information to STDERR #* ***/ import sys lines = [] for line in sys.stdin: lines.append(line.rstrip('\n')) numbers = lines[1:] a...
#Import os and csv modules so that we can find and import the csv import os import csv #Create os path for csv to be read and the text file to written. csvpath = os.path.join('Resources', 'election_data.csv') text_file = os.path.join('Analysis', 'election_results.txt') #Setup our list for finding total votes, the dic...
#!/usr/bin/python import csv, json, os, sys # pass the filename as an argument when calling this script if len(sys.argv) < 2: sys.exit('Usage: json-to-csv.py /path/to/file.json') fileIn = sys.argv[1] fileOnly = os.path.basename(fileIn) try: fileOut = sys.argv[2] except IndexError: fileList = [fileIn.split('.')[0], ...
import re def star_one(): lines_parsed = [] for line in (y for y in get_input_as_strings() if len(y) > 0): parsed = re.search("(\d+)-(\d+) (.): (.*)", line).groups() lines_parsed.append([int(parsed[0]), int(parsed[1]), parsed[2], parsed[3]]) valid_count = 0 for line in lines_parsed: ...
#匿名函数及函数做参数 def test(a,b,func): return func(a,b) print(test(10,20,lambda x,y:x+y)) print(test(10,20,lambda x,y:x-y))
# -*- coding: utf-8 -*- """ Created on Fri Dec 4 20:34:16 2020 @author: David Stanley """ def tobogganTrajectory(slopes): # Read input text file and store contents inputText = open("input.txt", "r") inputContent = inputText.read() # Close opened file inputText.close() # Split i...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- #Definition for singly-linked list. class ListNode: def __init__(self, x): self.val = x self.next = None class Solution: def addTwoNumbers(self, l1, l2): """ :type l1: ListNode :type l2: ListNode :rtype: ListNode ...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- import logging class Solution: def maxSubArray(self, nums): """ :type nums: List[int] :rtype: int """ max_sum = -2**31 for head in range(len(nums)): for tail in range(head+1, len(nums)+1): pr...
class Stack(): def __init__(self): self.items = [] def push(self, items): self.items.append(items) def pop(self): return self.items.pop() def isEmpty(self): return self.items == [] def peek(self): if not self.isEmpty(): return se...
# BasicCommands.py # To check Python version (at command prompt) #1) At command prompt, type python #python #2) At command prompt, type python -V (capital V) # python -V # -or- # python --version #3) in code import sys print(sys.version) # Human readable -> 3.6.2 (v3.6.2:5fd33b5, Jul 8 2017, 04:14:34) [MSC v.1900 32 ...
#ReadingWritingCsvFile.py import csv #The csv module’s reader and writer objects read and write sequences. #Programmers can also read and write data in dictionary form using the DictReader and DictWriter classes. # csv.reader(csvfile, dialect='excel', **fmtparams)¶ # csv.writer(csvfile, dialect='excel', **fmtparams)¶...
# ScopeRulesLEGB.py ''' LEGB lookup rule A reference (X) looks for the name X > first in the current [L]ocal scope (function); then > in the local scopes of any lexically [E]nclosing functions in your source code, from inner to outer; (also referred as statically nested scopes), then > in the current [G]lobal s...
# IterationsAndComprehensions.py ''' > Python’s iteration protocol, a method call model used by the for loop, > list comprehensions, which are a close cousin to the for loop that applies an expression to items in an iterable. ''' input_numbers = [1,2,3,4] print(type(input_numbers)) # <class 'list'> # print uses end=...
# Tuples.py # To run from python interpreter # > cd D:\dev\python\Python101\basics\ # > python # > exec(open('Tuples.py').read()) # -OR- # python Tuples.py ''' Tuples are roughly like a list that cannot be changed —tuples are sequences, like lists, but they are immutable, like strings. tuples are not generally used...
# Files02.py ''' >> xDummyFile.txt This is 1st line without line break This is 2nd line with line break This is last line ''' print('\n ----- printing content using for loop') for line in open('xDummyFile.txt'): # print(type(line)) # <class 'str'> # line[0] = 'T' print(line, end='') print('\n *** Done pr...
# MapReduceFilter.py # map and filter are key members of Python’s early functional programming toolset # map() function # => Mapping Functions over Iterables: map # Syntax : r = map(func, seq) # The map function applies a passed-in function to each item in an iterable object # and returns a list containing all th...
#ClassAttributes.py ''' Every time we use an expression of the form 'object.attr' (where object is an instance or class object), Python searches the namespace tree from bottom to top, beginning with object, looking for the first attr it can find. This includes references to self attributes in your methods. ''' clas...
#!/usr/bin/env python # Tui Popenoe # challenge206E.py - Recurrence Relation import ast import operator as op import sys operators = {ast.Add: op.add, ast.Sub: op.sub, ast.Mult: op.mul, ast.Div: op.truediv, ast.Pow: op.pow, ast.BitXor: op.xor, ast.USub: op.neg} def eval_expr(expr): """ ...
#!python2 # Tui Popenoe # Challenge104E.py - Powerplant Simulation import sys def power_plant(n): l = [] for i in range(1, n+1): if i % 3 == 0: pass elif i % 14 == 0: pass elif i % 100 == 0: pass else: l.append(i) return len(...
#!python2 # Tui Popenoe # Challenge28E.py - Duplicates def detect_duplicate(lst): hashtable = {} for i, v in enumerate(lst): if v in hashtable: print("Duplicate detected, array[%r] and array[%r] are both equal \ to %r" % (hashtable[v], i, array[i])) hashtable[v] = i ...
#!python2 # Tui Popenoe # Challenge34E.py - Max Squares from sys import argv def max_squares(lst): lst = map(int, lst) lst.sort(reverse=True) return (lst[0] ** 2 + lst[1] ** 2) def main(): if len(argv) > 1: print(max_squares(argv[1:])) else: print(max_squares(list(raw_input()))) ...
#!python2 # Tui Popenoe # challenge105E.py Word Unscrambler import sys def unscramble_words(scrambled_words, word_list): """Unscramble the words in a wordfile passed in and match wordlist""" output = [] for i in scrambled_words: for k in word_list: if len(i) > len(k): i...
#!/usr/bin/env python # Tui Popenoe # challenge198E.py - Words With Enemies import sys def battle_words(word1, word2): winner = bust_words(word1, word2) if len(winner[0]) > len(winner[1]): return 'Left: %s' % ''.join(winner) elif len(winner[1]) > len(winner[0]): return 'Right: %s' % ''.joi...
#!python2 # Tui Popenoe # challenge187E.py - A Flagon of Flags from sys import argv def read_flags(filename): flags = {} output = [] with open(filename, 'r') as f: num_flags = int(f.readline().strip()) for i in range(num_flags): flag = f.readline().strip().split(':') ...
#!python2 # Tui Popenoe # Challenge47I.py - Number Translate from sys import argv cipher = { 'ze' : 0, 'on' : 1, 'tw' : 2, 'th' : 3, 'fo' : 4, 'fi' : 5, 'si' : 6, 'se' : 7, 'ei' : 8, 'ni' : 9 } def translate_number(num): output = list() #for i in num: output.append...
#!python2 # Tui Popenoe # Challenge38E.py - Line and Word Count from sys import argv def counts(filename): with open(filename, 'r') as f: x = len(f.readlines()) y = len(f.read().split()) print("Number of lines: ", x) print("Number of words: ", y) def main(): if len(argv) > 1: ...
#!/usr/bin/env python # Tui Popenoe # challenge221E.py Word Snake from sys import argv def word_snake(lst): if lst: print(lst[0]) space_length = len(lst[0]) - 1 turn = False down = True for word in lst[1:]: if not turn and space_length + len(word) > 80: ...
#!python2 # Tui Popenoe # Challenge15E.py - Left/right justify from ast import literal_eval from sys import argv import string def justify(filename, right=False): with open(filename, 'r+') as f: text = f.readlines() f.seek(0) for i in text: if right == True: i =...
# Tui Popenoe # Challenge 166b Planetary Gravity """Calculate the weight of an object upon the surface of a planet.""" import sys import math def calcVolume(r): return (4/3) * (math.pi * pow(r, 3)) def calcMass(v, d): return v*d def calcForce(m1, m2, d): g = (m1 * m2) / pow(d, 2) def calcWeight(planet...
#!python2 # Tui Popenoe # challenge185E.py - Generated Twitter Handles from sys import argv def find_handles(filename): output = [] with open(filename, 'r') as f: wordlist = f.read().splitlines() for i in wordlist: if i[0:2] == 'at': output.append(('@' + i[2:] + ' :...
#!python2 # Tui Popenoe # challenge190E.py - Webscraping Sentiments import lxml import logging import urllib2 import sys import lxml.html def parse_page(url): try: # Fetch the url doc = urllib2.urlopen(url) if doc: # parse the tree. tree = lxml.html.parse(doc) ...
# Tui Popenoe # Challenge 161 Blackjack """ Implementatoin of a simulation of blackjack hands. Calculates the percentage of hands dealt that are blackjack (21) given a variable number of decks of cards. Accepts input as a text file or a command line argument. """ import random import sys deck = [ ...
# Tui Popenoe # Challenge 163 Probability Distribution of six sided die """Simulate various numbers of rolls of a six-sided die, and display the distribution of the numbers rolled. """ import sys import random import math def printGrid(grid): print(grid) def createGrid(): grid = list() for i in ran...
#!python2 # Tui Popenoe # challenge179e.py - Convert Image to Grayscale from PIL import Image def grayscale(imagefile='image.jpg'): """Convert the image file to grayscale.""" im = Image.open(imagefile) pix = im.load() print('Image Size: ' + str(im.size)) for i in range(im.size[0]): for j i...
#!python2 # Tui Popenoe # Challenge55I.py - Validating Input from sys import argv def display_sum(user_input): inp = user_input.split(' ') if int(inp[0]) >= 0 and int(inp[0]) <= 9: if int(inp[1]) >= 1 and int(inp[1]) <= 9: s = int(inp[0]) + int(inp[1]) print(inp[0] + ' + ' + in...
# basic implementation of music playing functionality! from os import system def play_music(commands): song = raw_input("What song was it that you wanted to hear?\n") if not 'by' in song: system('spotify play [' + song + ']') def main(commands): print ('Entering DJ mode...') active = True current_commands = c...
print("\nDame un numero del 1 al 100") Num = int(input()) if Num < 100: print("\nEse numero es menor a 100") else: print("\nEse numero es mayor a 100")
#!/usr/bin/python # -*- coding: utf-8 -*- # import all the required libraries #Author: Arun Kumar and Rahul Noronha #Date: #23/09/2020 #->Encoding function worked for png only, RGB_To_Grayscale and JPEG_To_PNG throwing IOError #24/09/2020 #->Encoding function worked for png and jpg only RGB_To_Grayscale worked succesf...
board = [ ["_", "_", "_"], ["_", "_", "_"], ["_", "_", "_"] ] is_x_turn = True is_valid_move = False is_still_playing = True def if_raw(board): x_won = False o_won = False for i in range(len(board)): x_counter = '' o_counter = '' for n in range(len(board...
from utils import database USER_CHOICE = """ Your Choices are the following : - "a" to add a new book - "l" to list all books - "r" to mark a book as read - "d" to delete the book - "q" to exit Enter Your Choice:""" #Defining Function for providing options to theuser def menu(): database.create_books_table() ...
import random, sys print ('ROCK, PAPER,SCISSORS') #these variable to keep track of the wins wins = 0 losses = 0 ties = 0 #The main game loop while True: print('%s Wins, %s Losses, %s Ties' % (wins,losses,ties)) while True: print('Enter you move:(r)ock,(p)aper, (s)cissors or (q)uit') playerMov...
#fortune ball import random def getA(AnswerN): if AnswerN == 1: print('you will marry a hottie') elif AnswerN == 2: print('you will have a sad life') elif AnswerN == 3: print('you will be cool, but your friends won\'t like you') elif AnswerN == 4: print('you will die ve...
import sqlite3 class Connect(object): def __init__(self,db_name): try: self.connection = sqlite3.connect(db_name) self.c = self.connection.cursor() except sqlite3.Error: print("Erro ao abrir o banco.") def commit_db(self): if self.c: ...
import unittest class NumberTest(unittest.TestCase): """ Uses subtest to display all tests within a test method """ def test_even_numbers(self): """ with subtest, all failures are shown """ for i in range(10): with self.subTest(i=i): self.ass...
# 链表机制不明! from typing import * # Definition for singly-linked list. class ListNode: def __init__(self, x): self.val = x self.next = None # 此段代码只能在leetcode下通过 class Solution: def addTwoNumbers(self, l1: ListNode, l2: ListNode) -> ListNode: res_num = Solution.ln_to_int(l1) + Solution.ln...
# Importing the module – tkinter, time # Create the main window (container) # Add number of widgets to the main window:Button, Entry # Apply the event Trigger on the wi...
# PROBLEM DESCRIPTION # # An isogram is a word that has no repeating letters, consecutive or non-consecutive. Implement a function that determines whether a string that contains only letters is an isogram. Assume the empty string is an isogram. Ignore letter case. # is_isogram("Dermatoglyphics" ) == true # is_isogram...
class Stack(): """堆栈""" def __init__(self, max_size): self.max_size = max_size self.arr = [] def counts(self): return len(self.arr) def push(self, item): if len(self.arr) == self.max_size: print('数据已满,不能存入') return None self.arr.insert(0, item) print('%s存入成功'%item) def pull(self): return s...
class Stack: def __init__(self, max_size): self.max_size = max_size self.top = None def push(self, item): if self.size() != self.max_size: node = Node(item) node.next_node = self.top self.top = node def pop(self): if self.top is None: ...
#Simple neural network with backpropagation learning #Created by Mark Palenik #I created this mainly as an exercise in learning python #it's not necessarily the most efficient python code, as it is #my first project, but it works. import random import math class Node: def __init__(self): self.weights = []...
import re def find_repeated_word(text): """ Function finds the first repeated word in a string and returns this word. """ if not isinstance(text, str): raise TypeError word_list = [] text_list = re.findall(r'[A-Za-z]+', text.lower()) for word in text_list: if word in word_...
class Node: """ Node class initilizing """ def __init__(self, value, next=None): """ Init node instance with value and next element """ self.value = value self.next = next def __str__(self): """ Return an object instance """ return f'{...
class Node: """ This is the Node Class """ def __init__(self, value): """ This is my initialize of the Node """ self.value = value self.next = None def __str__(self): """ return string with the the object instance """ return f...
def multiply(a, b): return sum([a for _ in range(b)]) def expo_sum(x, y): if x < 0 or y < 0: return "Please enter non-negative numbers for both x and y" result = 1 for _ in range(y): result = multiply(result, x) return result
string1='a(b(x)d)efghijkl' string2='(123).)(qw(e)' def match(str): count = 0 for i in str: if i == "(": count += 1 elif i == ")": count -= 1 if count < 0: return False return count == 0 def match2(input_string): s = [] ...
#!/usr/bin/python import sys import re # check that a filename argument was provided, otherwise if len(sys.argv) < 2: raise Exception("Filename must be first argument provided") filename = sys.argv[1] lines = [] # open file in read mode, assuming file is in same directory as script try: file = open(filename,...
#!/usr/bin/python '''Gathering acutal housing expenses from person and save results in variables to be called later''' print('We are going to go over some of your monthly expenses, please answer in all lowercase') mortgage_rent = input('Do you have a mortgage or rent?') if mortgage_rent == 'mortgage': mor...
#!/usr/bin/python import sys # check that a filename argument was provided, otherwise if len(sys.argv) < 2: raise Exception("Filename must be first argument provided") filename = sys.argv[1] lines = [] # open file in read mode, assuming file is in same directory as script try: file = open(filename, 'r') #...
""" 1. Идем по списку вниз 2. Открываем форму нажатием enter 3. Ставим мышь в определенную координату экрана 4. Кликаем левой кнопкой 5. Закрываем форму комбинацией ctrl+enter """ import pyautogui as pg import time as t i = 1 while i <= 100: t.sleep(5) pg.hotkey('down') pg.press('enter') t.sleep(7) ...
# -*- coding: utf-8 -*- import numpy as np def frontera(rf, r, P, T, M, L): """ Magnitudes en la prontera radiativo-convectiva. Intermpolación lineal para calcular los valores de la temperatura, presión, masa y luminosidad a un valor específico del radio ('rf'). Los objetos 'r', 'P'...
#One common use of dictionaries is counting how often we "see" something ''' ccc = dict() ccc['csev'] = 1 ccc['cwen'] = 1 print(ccc) ccc['cwen'] = ccc['cwen'] + 1 print(ccc) ''' counts = dict() print(counts) names = ['csev', 'cwen', 'csev', 'zqian', 'cwen'] for name in names: if name not in counts: ...
''' Dictionaries are like lists except that they use KEYS instead of numbers to look up values. ''' #######LIST######### print('LIST') lst = list() lst.append(12) lst.append(183) print(lst) lst[0] = 23 print(lst) ''' ####LIST=lst#### Key Value [0] 21 [1] 183 ''' ######D...
#Time Stamp 3:48:56 #Lists ''' Collections A list is a kind of a collection friends = ['Joseph', 'Glenn', 'Sally'] ''' print([1,23,76]) #List ''' >Lists are surrounded by Square brackets and the elements in the lists are separated by commas >A list element can be any Python object-even another list ''' p...
#Definite loops #for i in [5,4,3,2,1]: # print(i) #print('BlastOFF!!!!') friends = ['Joseph','Glean','Sally'] for friend in friends: print("Happy New Year: ",friend) print("BlastOFF!!!!")
#counting lines in file fhand = open('mbox.txt') count = 0 for eachline in fhand: count = count + 1 print("Total number of lines: ",count)
# Name: Monty Hall Game and Monte Carlo Simulation # Version: 0.2a3 # Summary: A simple game that replicates the Monty Hall problem, and a Monte Carlo simulator to determine probabilities # Keywords: Monty Hall, Monte Carlo # Author: Jacob J. Walker # # Header comments based on meta-data specs at https://packaging.pyth...
import pandas as pd import json with open('COUNTRY.json') as f: data = json.load(f) # Output: {'name': 'Bob', 'languages': ['English', 'Fench']} x=pd.DataFrame(data) print(x)
import turtle from typing import List, Tuple, Optional import math class Label(turtle.Turtle): def __init__(self, x, y): super().__init__(shape='blank') self.up() self.goto(x, y) def msg(self, text): self.clear() self.write(text, align="left") class Checker(turtle.T...
import turtle from random import random car = turtle.Turtle() car.shape('turtle') button = turtle.Turtle() button.goto(x, y) def create_car(x, y): turtle.tracer(False) car_xy = turtle.Turtle() car_xy.up() car_xy.goto(x, y) car_xy.fillcolor((random(), random(), random())) turtle.tracer(True) ...
import datetime import turtle turtle.tracer(False) pen = turtle.Turtle() pen.hideturtle() pen.goto(0, 100) t = datetime.datetime.today() pen.write('Сегодня:', align="center", font=("Arial", 14, "bold")) pen.forward(65) pen.goto(0, 70) pen.write(t, align="center", font=("Arial", 14, "normal")) pen.goto(0, 50) p = turt...
import turtle player = turtle.Turtle() def checker(x, y, size, color): """ Нарисуем фигуру в нужном месте :param x: координата Х фигуры :param y: координата У фигуры :param color: цвет фигуры :return: в нужном положении рисуется фигура """ player.speed(0) player.up() player.goto...
# Assuming input graph is represented by adjacency list g1 = {"a": ["b"], "b": ["c", "d"], "c": [], "d": ["c"], "e": ["c"] } g2 = {"a": ["b"], "b": ["c", "d"], "c": ["e"], "d": ["c"], "e": ["c"] } #print(g1) def isPath(n1, n2, g): queue = [] seen = {} ...
import logging import typing def logger_config( prefix: str = 'NULL', file_level: str = 'INFO', console_level: str = 'INFO', log_file: str = 'test.log') -> typing.NoReturn: """Set up the log to print to both the log file and the console :param prefix: Sets the log prefix, which...
"""Grammar.""" from rule import Rule # -- coding: utf-8 -- __author__ = 'stepan' __license__ = 'MIT' __version__ = '1.0' class Grammar: """Represents grammar with all components.""" def __init__(self): """Initialization.""" self.rules = [] self.terminals = [] self.nontermina...
#Using pandas data reader this program will print a table of close values for a list of stocks from a year from today up until today's date #Note that I am retrieving the stock data using Yahoo Finance import pandas as pd import pandas_datareader.data as pdr import datetime as dt #this list may be modified as desire...
#!/home/sahil/anaconda2/bin/python import sys import numpy as np from sklearn import tree from sklearn.preprocessing import LabelEncoder from matplotlib import pyplot as plt from sklearn.utils import shuffle import math import optparse print 'Let\'s do decision tree!!' #function to create new Table and add the rows...
import numpy as np def outer_product(F, G): b = np.size(F) r = np.size(G) W= np.zeros((b,r)) for i in range(b): for j in range(r): W[i, j] = F[i] * G[j] return W
#!/usr/bin/python3 import re import os class Parser: """The parser class is used to parse the episodes and the file for converting the names""" # hardcoded patterns list to search for patterns = [ '(?P<Season>S[0-9]{1,2}).*(?P<Episode>E[0-9]{1,3})' # 'S[0-9]{1,2}.*E[0-9]{1,3}' ] file...