8000 Added section 7 and reorganised section 6. · Saigelaw/complete-python-course@a628745 · GitHub
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Added section 7 and reorganised section 6.
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‎.gitignore

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data.db
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*.key
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*.indd
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*.png

‎section6/files_project/app.py

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my_file = open('data.txt', 'r')
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file_content = my_file.read()
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my_file.close()
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print(file_content)
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user_name = input('Enter your name: ')
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my_file_writing = open('data.txt', 'w')
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my_file_writing.write(user_name)
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my_file_writing.close()

‎section6/files_project/cars_json.txt

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[{"make": "Ford", "model": "Fiesta"}, {"make": "Ford", "model": "Focus"}]

‎section6/files_project/csv_data.txt

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name,age,university,degree
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rolf,25,mit,computer science
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jose,90,oxford,computing
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anna,30,cambridge,physics

‎section6/files_project/csv_read.py

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file = open('csv_data.txt', 'r')
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lines = file.readlines()
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file.close()
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lines = [line.strip() for line in lines[1:]]
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for line in lines:
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person_data = line.split(',')
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name = person_data[0].title()
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age = person_data[1]
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university = person_data[2].title()
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degree = person_data[3].capitalize()
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print(f'{name} is {age}, studying {degree} at {university}.')

‎section6/files_project/data.txt

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Rolf

‎section6/files_project/friends.py

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# Ask the user for a list of 3 friends
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# For each friend, we'll tell the user whether they are nearby
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# For each nearby friend, we'll save their name to `nearby_friends.txt`
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friends = input('Enter three friend names, separated by commas (no spaces, please): ').split(',')
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people = open('people.txt', 'r')
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people_nearby = [line.strip() for line in people.readlines()]
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people.close()
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friends_set = set(friends)
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people_nearby_set = set(people_nearby)
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friends_nearby_set = friends_set.intersection(people_nearby_set)
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nearby_friends_file = open('nearby_friends.txt', 'w')
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for friend in friends_nearby_set:
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print(f'{friend} is nearby! Meet up with them.')
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nearby_friends_file.write(f'{friend}\n')
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nearby_friends_file.close()

‎section6/files_project/friends_json.txt

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{
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"friends": [
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{
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"name": "Jose",
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"degree": "Applied Computing"
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},
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{
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"name": "Rolf",
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"degree": "Computer Science"
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},
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{
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"name": "Anna",
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"degree": "Physics"
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}
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]
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}

‎section6/files_project/json_context_managers.py

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import json
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with open('friends_json.txt', 'r') as file:
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file_contents = json.load(file) # reads file and turns it to dictionary
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print(file_contents['friends'][0])
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cars = [
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{'make': 'Ford', 'model': 'Fiesta'},
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{'make': 'Ford', 'model': 'Focus'}
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]
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with open('cars_json.txt', 'w') as file:
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json.dump(cars, file)
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my_json_string = '[{"name": "Alfa Romeo", "released": 1950}]'
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incorrect_car = json.loads(my_json_string)
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print(incorrect_car[0]['name'])

‎section6/files_project/json_imports.py

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import json
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file = open('friends_json.txt', 'r')
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file_contents = json.load(file) # reads file and turns it to dictionary
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file.close()
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print(file_contents['friends'][0])
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cars = [
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{'make': 'Ford', 'model': 'Fiesta'},
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{'make': 'Ford', 'model': 'Focus'}
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]
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file = open('cars_json.txt', 'w')
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json.dump(cars, file)
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file.close()
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my_json_string = '[{"name": "Alfa Romeo", "released": 1950}]'
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incorrect_car = json.loads(my_json_string)
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print(incorrect_car[0]['name'])

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