added Chapter 8
This commit is contained in:
10
practice_projects/.vscode/settings.json
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10
practice_projects/.vscode/settings.json
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{
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"python.pythonPath": "/usr/local/bin/python3",
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"python.linting.enabled": true,
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"python.linting.pylintEnabled": false,
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"python.linting.pep8Enabled": true,
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"python.linting.pep8Path": "/usr/local/bin/pep8",
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"python.linting.lintOnSave": true,
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"python.formatting.provider": "yapf",
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"python.formatting.yapfPath": "/usr/local/bin/yapf"
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}
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@python.exe BulletPointAdder.py %*
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@pause
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@python.exe CharacterPictureGrid.py %*
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@pause
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@python.exe Collatz.py %*
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@pause
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@python.exe CommaConnection.py %*
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@pause
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@python.exe DisplayInventory.py %*
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@pause
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@python.exe Password.py %*
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@pause
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@python.exe PhoneAndEmail.py %*
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@pause
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@python.exe TestPrintTable.py %*
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@pause
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39
practice_projects/mad_libs.py
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practice_projects/mad_libs.py
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#! python3
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'''
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mad_libs.py - reads in text files and lets the user add their own text anywhere
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the word ADJECTIVE, NOUN, ADVERB, or VERB appears in the text
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file.
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For example, a text file may look like this:
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```
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The ADJECTIVE panda walked to the NOUN and then VERB.
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A nearby NOUN was unaffected by these events.
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```
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The program would find these occurrences and prompt the user to
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replace them.
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Enter an adjective:
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silly
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Enter a noun:
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chandelier
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Enter a verb:
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screamed
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Enter a noun:
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pickup truck
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The following text file would then be created:
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```
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The silly panda walked to the chandelier and then screamed.
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A nearby pickup truck was unaffected by these events.
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```
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'''
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import re
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file_name = input("Enter the filename:")
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file_read = open(file_name)
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content = file_read.read()
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for to_replace in re.compile(r'ADJECTIVE|NOUN|ADVERB|VERB').findall(content):
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content.replace(to_replace)
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practice_projects/mcb.pyw
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practice_projects/mcb.pyw
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#! python3
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'''
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mcb.pyw - Saves and loads pieces of text to the clipboard.
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Usage: py mcb.pyw save <keyword> - Saves clipboard to keyword.
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py mcb.pyw delete <keyword> - Delete the content of keyword.
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py mcb.pyw <keyword> - Loads keyword to clipboard.
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py mcb.pyw list - Loads all keywords to clipboard.
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'''
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import shelve
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import pyperclip
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import sys
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mcbShelf = shelve.open("mcb")
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# Save clipboard content
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if len(sys.argv) == 3:
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if sys.argv[1].lower() == 'save':
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mcbShelf[sys.argv[2]] = pyperclip.paste()
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elif sys.argv[1].lower() == 'delete':
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del mcbShelf[sys.argv[2]]
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elif len(sys.argv) == 2:
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# List keywords and load content
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if sys.argv[1].lower() == 'list':
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pyperclip.copy(str(list(mcbShelf.keys())))
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elif sys.argv[1] in mcbShelf:
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pyperclip.copy(mcbShelf[sys.argv[1]])
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mcbShelf.close()
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64
practice_projects/random_quiz_generator.py
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practice_projects/random_quiz_generator.py
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#! python3
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'''
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random_quiz_generator.py - creates quizzes with questions and answers
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in random order, along with the answer key.
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'''
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import random
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capitals = {'Alabama': 'Montgomery', 'Alaska': 'Juneau', 'Arizona': 'Phoenix',
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'Arkansas': 'Little Rock', 'California': 'Sacramento', 'Colorado':
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'Denver', 'Connecticut': 'Hartford', 'Delaware': 'Dover',
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'Florida': 'Tallahassee', 'Georgia': 'Atlanta', 'Hawaii':
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'Honolulu', 'Idaho': 'Boise', 'Illinois': 'Springfield', 'Indiana':
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'Indianapolis', 'Iowa': 'Des Moines', 'Kansas': 'Topeka',
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'Kentucky': 'Frankfort', 'Louisiana': 'Baton Rouge', 'Maine':
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'Augusta', 'Maryland': 'Annapolis', 'Massachusetts': 'Boston',
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'Michigan': 'Lansing', 'Minnesota': 'Saint Paul', 'Mississippi':
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'Jackson', 'Missouri': 'Jefferson City', 'Montana': 'Helena',
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'Nebraska': 'Lincoln', 'Nevada': 'Carson City', 'New Hampshire':
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'Concord', 'New Jersey': 'Trenton', 'New Mexico': 'Santa Fe',
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'New York': 'Albany', 'North Carolina': 'Raleigh', 'North Dakota':
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'Bismarck', 'Ohio': 'Columbus', 'Oklahoma': 'Oklahoma City',
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'Oregon': 'Salem', 'Pennsylvania': 'Harrisburg', 'Rhode Island':
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'Providence', 'South Carolina': 'Columbia', 'South Dakota':
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'Pierre', 'Tennessee': 'Nashville', 'Texas': 'Austin', 'Utah':
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'Salt Lake City', 'Vermont': 'Montpelier', 'Virginia': 'Richmond',
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'Washington': 'Olympia', 'West Virginia': 'Charleston', 'Wisconsin'
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: 'Madison', 'Wyoming': 'Cheyenne'}
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# Generate 35 quiz files:
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for quizNum in range(35):
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# Create the quiz and answer key files.
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quizFile = open('capitalsquiz%s.txt' % (quizNum + 1), 'w')
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answerKeyFile = open('capitalsquiz_answers%s.txt' % (quizNum + 1), 'w')
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# Write out the header for the quiz.
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quizFile.write('Name:\n\nDate:\n\nPeriod:\n\n')
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quizFile.write((' '*20) + 'State Capitals Quiz (Form %s)' % (quizNum + 1))
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quizFile.write('\n\n')
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# Shuffle the order of the states.
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states = list(capitals.keys())
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random.shuffle(states)
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# Loop through all 50 states, making a question for each.
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for questionNum in range(50):
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# Get right and wrong answers.
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correctAnswer = capitals[states[questionNum]]
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wrongAnswers = list(capitals.values())
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del wrongAnswers[wrongAnswers.index(correctAnswer)]
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wrongAnswers = random.sample(wrongAnswers, 3)
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answerOptions = wrongAnswers + [correctAnswer]
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random.shuffle(answerOptions)
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# Write the question and the answer options to the quiz file.
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quizFile.write('%s. What is the capital of %s?\n' % (questionNum + 1,
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states[questionNum]))
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for i in range(4):
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quizFile.write(' %s. %s\n' % ('ABCD'[i], answerOptions[i]))
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quizFile.write('\n')
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# Write the answer key to a file.
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answerKeyFile.write('%s. %s\n' % (questionNum + 1, 'ABCD'[
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answerOptions.index(correctAnswer)]))
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quizFile.close()
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answerKeyFile.close()
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1
test_mad_libs.txt
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1
test_mad_libs.txt
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The ADJECTIVE panda walked to the NOUN and then VERB. A nearby NOUN was unaffected by these events.
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