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Add updated sections 1 and 2.
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‎.gitignore

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rebrand-subs/
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captions/
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page_*.jpeg
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exercises/
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Subtitles

‎course_contents/1_intro/lectures/10_and_or/code.py

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# Python has two keywords, `and` and `or`
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# Here's how to use them:
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age = int(input("Enter your age: "))
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can_learn_programming = age > 0 and age < 150
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print(f"You can learn programming: {can_learn_programming}")
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# -- or --
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age = int(input("Enter your age: "))
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usually_not_working = age < 18 or age > 65
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print(f"At {age}, you are usually not working: {usually_not_working}")
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# That could be better re-written to:
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age = int(input("Enter your age: "))
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usually_working = age > 17 and age < 66 # Notice the changes to the numbers!
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print(f"At {age}, you are usually working: {usually_not_working}")
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# How they work internally
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# `and` gives you the first value if it is falsy, otherwise gives you the second value
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# `or` gives you the first value if it is truthy, otherwise gives you the second value
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# How to tell if a value is "truthy" or "falsy"?
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# Pass it through `bool()`.
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print(bool(35))
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print(bool("Rolf"))
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print(bool(0))
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print(bool(""))
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# More examples linked in the resources section of the lecture
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# --
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print("" or "Rolf") # Rolf, because "" is falsy
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print("" and "Rolf") # "", because it is falsy
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print("Rolf" or "") # "Rolf", because it is truthy
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print("Rolf" and "") # "", because "Rolf" is not falsy

‎course_contents/1_intro/lectures/11_lists/code.py

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friend1 = "Rolf"
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friend2 = "Bob"
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friend3 = "Anne"
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friends = ["Rolf", "Bob", "Anne"]
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print(friends[0]) # This is called a subscript
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print(friends[1])
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# You can put anything you like inside a list, but it's almost always a good idea to keep it homogeneous.
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friends = ["Rolf", 2, "Anne"] # Generally a bad idea
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# -- Length of a list --
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friends = ["Rolf", "Anne"]
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print(len(friends)) # 2
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# -- Lists inside lists --
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# As mentioned earlier, you can put anything inside a list—and that includes other lists.
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friends = [["Rolf", 24], ["Bob", 30], ["Anne", 27]]
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print(friends[0][1]) # 24
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print(friends[1][0]) # Bob
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# -- Long lists --
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friends = [
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["Rolf", 24],
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["Bob", 30],
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["Anne", 27],
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["Charlie", 37],
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["Jen", 25],
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["Adam", 29],
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]
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< F987 /td>
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# -- Adding to a list --
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friends = ["Rolf", "Bob", "Anne"]
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friends.append("Jen")
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print(friends) # ["Rolf", "Bob", "Anne", "Jen"]
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# -- Removing from a list --
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friends.remove("Bob")
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print(friends) # ["Rolf", "Anne", "Jen"]
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# Remember if you have a list of lists, for example, you still need the entire thing you want to remove:
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friends = [["Rolf", 24], ["Bob", 30], ["Anne", 27]]
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friends.remove(["Bob", 30])

‎course_contents/1_intro/lectures/12_tuples/code.py

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# -- Defining tuples --
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short_tuple = "Rolf", "Bob"
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a_bit_clearer = ("Rolf", "Bob")
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not_a_tuple = "Rolf"
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# -- Adding to a tuple --
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friends = ("Rolf", "Bob", "Anne")
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friends.append("Jen") # ERROR!
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print(friends) # ["Rolf", "Bob", "Anne", "Jen"]
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# -- Removing from a tuple --
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friends.remove("Bob") # ERROR!
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print(friends) # ["Rolf", "Anne", "Jen"]
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# Tuples are useful for when you want to keep it unchanged forever.
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# Most of the time I'd recommend using tuples over lists, and only use lists when you specifically want to allow changes.

‎course_contents/1_intro/lectures/13_sets/code.py

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# -- Defining sets --
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art_friends = {"Rolf", "Anne"}
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science_friends = {"Jen", "Charlie"}
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# -- Adding to a set --
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art_friends.add("Jen")
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print(art_friends)
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# -- No duplicate items --
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art_friends.add("Jen")
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print(art_friends) # Same as before, "Jen" was not added twice
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# -- Removing from a set --
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science_friends.remove("Charlie")
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print(science_friends)

‎course_contents/1_intro/lectures/14_advanced_set_operations/code.py

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art_friends = {"Rolf", "Anne", "Jen"}
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science_friends = {"Jen", "Charlie"}
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# -- Difference --
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# Gives you members that are in one set but not the other.
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art_but_not_science = art_friends.difference(science_friends)
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science_but_not_art = science_friends.difference(art_friends)
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print(art_but_not_science)
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print(science_but_not_art)
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# -- Symmetric difference --
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# Gives you those members that aren't in both sets
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# Order doesn't matter with symmetric_difference
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not_in_both = art_friends.symmetric_difference(science_friends)
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print(not_in_both)
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# -- Intersection --
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# Gives you members of both sets
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art_and_science = art_friends.intersection(science_friends)
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print(art_and_science)
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# -- Union --
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# Gives you all members of all sets, but of course without duplicates
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all_friends = art_friends.union(science_friends)
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print(all_friends)

‎course_contents/1_intro/lectures/15_dictionaries/code.py

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friend_ages = {"Rolf": 24, "Adam": 30, "Anne": 27}
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print(friend_ages["Rolf"]) # 24
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# friend_ages["Bob"] ERROR
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# -- Adding a new key to the dictionary --
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friend_ages["Bob"] = 20
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print(friend_ages) # {'Rolf': 24, 'Adam': 30, 'Anne': 27, 'Bob': 20}
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# -- Modifying existing keys --
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friend_ages["Rolf"] = 25
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print(friend_ages) # {'Rolf': 25, 'Adam': 30, 'Anne': 27, 'Bob': 20}
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# -- Lists of dictionaries --
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# Imagine you have a program that stores information about your friends.
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# This is the perfect place to use a list of dictionaries.
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# That way you can store multiple pieces of data about each friend, all in a single variable.
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friends = [
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{"name": "Rolf Smith", "age": 24},
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{"name": "Adam Wool", "age": 30},
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{"name": "Anne Pun", "age": 27},
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]
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# You can turn a list of lists or tuples into a dictionary:
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friends = [("Rolf", 24), ("Adam", 30), ("Anne", 27)]
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friend_ages = dict(friends)
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print(friend_ages)

‎course_contents/1_intro/lectures/16_length_and_sum/code.py

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# Imagine you're wanting a variable that stores the grades attained by a student in their class.
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# Which of these is probably not going to be a good data structure?
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grades = [80, 75, 90, 100]
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grades = (80, 75, 90, 100)
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grades = {80, 75, 90, 100} # This one, because of no duplicates
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total = sum(grades)
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length = len(grades)
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average = total / length

‎course_contents/1_intro/lectures/17_joining_a_list/code.py

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# Imagine you've got all your friends in a list, and you want to print it out.
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friends = ["Rolf", "Anne", "Charlie"]
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print(f"My friends are {friends}.")
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# Not the prettiest, so instead you can join your friends using a ",":
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friends = ["Rolf", "Anne", "Charlie"]
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comma_separated = ", ".join(friends)
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print(f"My friends are {comma_separated}.")
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# Want the last one to say ", and" ?
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# You'll have to wait until we cover list slicing in the next section!

‎course_contents/1_intro/lectures/8_user_input/code.py

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# your_name = '?'
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your_name = input("Enter your name: ")
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print(f"Hello {your_name}!")
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print(f"Hello {your_name}. My name is {my_name}.")
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## Calculating months
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‎course_contents/2_intro_to_python/lectures/10_list_comprehensions/code.py

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numbers = [0, 1, 2, 3, 4]
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doubled_numbers = []
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for num in numbers:
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doubled_numbers.append(num * 2)
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print(doubled_numbers)
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# -- List comprehension --
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numbers = [0, 1, 2, 3, 4] # list(range(5)) is better
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doubled_numbers = [num * 2 for num in numbers]
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# [num * 2 for num in range(5)] would be even better.
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print(doubled_numbers)
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# -- You can add anything to the new list --
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friend_ages = [22, 31, 35, 37]
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age_strings = [f"My friend is {age} years old." for age in friend_ages]
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print(age_strings)
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# -- This includes things like --
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names = ["Rolf", "Bob", "Jen"]
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lower = [name.lower() for name in names]
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# That is particularly useful for working with user input.
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# By turning everything to lowercase, it's less likely we'll miss a match.
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friend = input("Enter your friend name: ")
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friends = ["Rolf", "Bob", "Jen", "Charlie", "Anne"]
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friends_lower = [name.lower() for name in friends]
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if friend.lower() in friends_lower:
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print(f"I know {friend}!")

‎course_contents/2_intro_to_python/lectures/11_comprehensions_with_conditionals/code.py

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ages = [22, 35, 27, 21, 20]
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odds = [n for n in ages if n % 2 == 1]
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# -- with strings --
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friends = ["Rolf", "ruth", "charlie", "Jen"]
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guests = ["jose", "Bob", "Rolf", "Charlie", "michael"]
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friends_lower = [f.lower() for f in friends]
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present_friends = [
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name.capitalize() for name in guests if name.lower() in friends_lower
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]
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# -- nested list comprehensions --
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# Don't do this, because it's almost completely unreadable.
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# Splitting things out into variables is better.
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friends = ["Rolf", "ruth", "charlie", "Jen"]
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guests = ["jose", "Bob", "Rolf", "Charlie", "michael"]
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present_friends = [
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name.capitalize() for name in guests if name.lower() in [f.lower() for f in friends]
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]

‎course_contents/2_intro_to_python/lectures/12_set_dictionary_comprehensions/code.py

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friends = ["Rolf", "ruth", "charlie", "Jen"]
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guests = ["jose", "Bob", "Rolf", "Charlie", "michael"]
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friends_lower = {n.lower() for n in friends}
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guests_lower = {n.lower() for n in guests}
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present_friends = friends_lower.intersection(guests_lower)
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present_friends = {name.capitalize() for name in friends_lower & guests_lower}
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print(present_friends)
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# Transforming data for easier consumption and processing is a very common task.
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# Working with homogeneous data is really nice, but often you can't (e.g. when working with user input!).
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# -- Dictionary comprehension --
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# Works just like set comprehension, but you need to do key-value pairs.
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friends = ["Rolf", "Bob", "Jen", "Anne"]
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time_since_seen = [3, 7, 15, 11]
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long_timers = {
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friends[i]: time_since_seen[i]
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for i in range(len(friends))
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if time_since_seen[i] > 5
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}
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print(long_timers)

‎course_contents/2_intro_to_python/lectures/13_zip/code.py

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"""
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friends = ["Rolf", "Bob", "Jen", "Anne"]
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time_since_seen = [3, 7, 15, 11]
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long_timers = {
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friends[i]: time_since_seen[i]
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for i in range(len(friends))
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if time_since_seen[i] > 5
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}
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print(long_timers)
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"""
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# While that is extremely useful when we have conditionals, sometimes we
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# just want to create a dictionary out of two lists or tuples.
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# That's when `zip` comes in handy!
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friends = ["Rolf", "Bob", "Jen", "Anne"]
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time_since_seen = [3, 7, 15, 11]
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# Remember how we can turn a list of lists or tuples into a dictionary?
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# `zip(friends, time_since_seen)` returns something like [("Rolf", 3), ("Bob", 7)...]
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# We then use `dict()` on that to get a dictionary.
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friends_last_seen = dict(zip(friends, time_since_seen))
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print(friends_last_seen)

‎course_contents/2_intro_to_python/lectures/14_functions/code.py

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# So far we've been using functions such as `print`, `len`, and `zip`.
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# But we haven't learned how to create our own functions, or even how they really work.
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# Let's create our own function. The building blocks are:
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# def
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# the name
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# brackets
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# colon
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# any code you want, but it must be indented if you want it to run as part of the function.
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def greet():
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name = input("Enter your name: ")
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print(f"Hello, {name}!")
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# Running this does nothing, because although we have defined a function, we haven't executed it.
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# We must execute the function in order for its contents to run.
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greet()
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# You can put as much or as little code as you want inside a function, but prefer shorter functions over longer ones.
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# You'll usually be putting code that you want to reuse inside functions.
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# Any variables declared inside the function are not accessible outside it.
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print(name) # ERROR!

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