Week 2 of 8

Conditionals, Loops & Lists

The three ideas that make code actually powerful — watch them all today

Day 6 60–90 minutes Watch

Day 6 of 40 — Week 2 begins

What You'll Accomplish Today

Watch the second half of Mosh's course — conditionals, loops, and lists
Understand how if/elif/else lets code make decisions
See how for and while loops automate repetition
Learn what a list is and why it's the foundation of all automation
Type along with every example Mosh writes

Today Is a Watch Day

This is a longer session — block out 60–90 minutes with Cursor open next to the video. You're watching the second half of Mosh's course, which covers three connected ideas back-to-back.

Programming with Mosh — Python Full Course for Beginners

Watch from the 1-hour mark through to the end

Open on YouTube — start at 1:00:00

Programming with Mosh — Python Full Course for Beginners [2025]

How to Watch

Have Cursor open next to the video. Every time Mosh types something, you type it too. When he writes an if condition, try changing the condition yourself before he moves on. Pause often. Going slower today means you go faster all week.

What Mosh Will Cover

Conditionals — Making Decisions

The most fundamental idea in programming: if something is true, do this. Otherwise, do that.

if, elif, else — the branching structure
Comparison operators — ==, !=, <, >, <=, >=
Logical operators — and, or, not

= vs ==

One of the most common beginner mistakes: = assigns a value. == checks equality. platform = "Kling" stores the value. platform == "Kling" asks a question. You will mix these up. When you do, come back here.

Loops — Doing Things Repeatedly

A for loop runs a block of code once for each item in a list. A while loop runs until a condition stops being true.

for item in list: — process each item in a collection
for i in range(n): — repeat n times
while condition: — keep going until something changes
break — exit the loop early

Lists — Ordered Collections

A list holds multiple items in one variable. This is the data structure you'll use more than any other.

Creating a list — shots = ["wide", "medium", "close-up"]
Accessing items by index — counting starts at 0
Common methods — .append(), .remove(), .sort()
len() — count items in a list

Key Concept to Internalize

Everything Has a Truth Value

Python evaluates conditions as True or False. But almost everything in Python has a truth value — you can use any value in an if statement, not just booleans.

These count as False: empty string "", zero 0, empty list [], and None.

Everything else — non-empty strings, non-zero numbers, lists with items — counts as True.

This sounds abstract now. Tomorrow you'll test it in Jupyter and it'll click. For now, just know it exists.

While You Watch — Key Patterns to Notice

These patterns appear constantly in real Python. Watch for them today so they start feeling familiar:

Pattern	What it does
`if x == "value":`	Check if a variable holds a specific value
`for item in list:`	Loop through every item in a list
`for i in range(5):`	Loop exactly 5 times (i = 0, 1, 2, 3, 4)
`while True: ... break`	Run forever until you explicitly break out
`list.append(item)`	Add an item to the end of a list
`if item in list:`	Check if an item exists in a list

End of Day Checklist

You watched Mosh from 1:00:00 to the end
You typed along with every example — no passive watching
You paused and experimented with at least a few conditions of your own
You have a rough sense of what if/else, for loops, and lists do

It's Okay If You Don't Have It All Yet

Today was exposure, not mastery. You saw a lot of new syntax in one session. Tomorrow you'll slow down, experiment in Jupyter one concept at a time, and the pieces will start connecting. The goal of today was to see the whole picture. Tomorrow you zoom in.