Day 1 of 10
Learn Python not as syntax, but as the art of telling a machine exactly what you mean.
Most people learn Python wrong. They memorize syntax before they have asked the question syntax is meant to answer.
The question is simple: what do you want the machine to do? Python is just the grammar for that conversation. You don’t learn English by memorizing a dictionary. You learn it by needing to say things. Same here.
By the end of today, you write a script. Not a “hello world.” A script that does something you would actually want done.
A variable is a name for a value. That’s the whole thing.
name = "Vishnu"
age = 28
excited = True
The machine now holds three pieces of information. You can use them anywhere.
print(f"Hi, I'm {name}. I've been coding for {age - 18} years.")
F-strings let you drop variables directly into text. This matters more than it sounds. Most of what you will build involves taking data and turning it into language. That is the machine’s job. Your job is telling it what to put where.
A function is a named piece of logic you can run whenever you need it.
def greet(person):
return f"Hey {person}, let's build something."
print(greet("Priya"))
print(greet("Arjun"))
The power isn’t the function. It is that you named the thought. Now you can reuse it without rewriting it. Every time you find yourself copying code, you are staring at a function waiting to be born.
Most real problems involve collections of things. Python gives you two weapons.
A list is an ordered sequence:
topics = ["Python", "LLMs", "Groq", "Prompt Engineering", "Marimo", "RAG", "Agents", "Real Tools", "Full Stack", "Ship It"]
print(topics[0]) # Python
print(topics[-1]) # Ship It
A dictionary maps keys to values:
day = {
"title": "Python Is Not a Language",
"duration": "2-3 hours",
"hard": False
}
print(day["title"])
You will use dictionaries constantly when working with AI APIs. Every response from an LLM comes back as a dictionary. Get comfortable with them now.
The machine doesn’t get bored. Use that.
for i, topic in enumerate(topics, 1):
print(f"Day {i}: {topic}")
A loop runs the same block of code once per item in a list. What takes ten lines written by hand takes two with a loop. This is not a trick. It is the fundamental shift in how programmers think.
Python ships with thousands of solved problems. You don’t rewrite them.
import random
import datetime
today = datetime.date.today()
print(f"Today is {today}")
surprise = random.choice(topics)
print(f"Random day to revisit: {surprise}")
import is an acknowledgment that other people have already solved things beautifully. Standing on their shoulders isn’t cheating. It is the point.
Write a script that generates your personal 10-day learning agenda. Something you could send to a friend and have them immediately understand what you are doing this week.
import datetime
course = "Build Your First AI App in 10 Days"
start_date = datetime.date.today()
days = [
("Python Is Not a Language", "Write your first useful script"),
("The Machine Has No Idea", "Break an LLM and understand why"),
("Wire In a Brain", "Your first real chatbot"),
("The Prompt Is the Product", "3 assistants, one base, total control"),
("Notebooks That Think", "Turn your chatbot into a live app"),
("Give It a Memory", "Chat with your own documents"),
("From Chatbot to Agent", "The model starts making decisions"),
("Let It Reach the World", "Tools that touch real APIs"),
("The Full Stack", "Everything wired together"),
("Ship It", "A live URL the world can use"),
]
print(f"\n{course.upper()}")
print(f"Starting {start_date.strftime('%B %d, %Y')}\n")
print("-" * 44)
for i, (title, goal) in enumerate(days, 1):
day_date = start_date + datetime.timedelta(days=i - 1)
print(f"Day {i:02d} {day_date.strftime('%a %b %d')}")
print(f" {title}")
print(f" Goal: {goal}")
print()
Run it. Edit the goals to match what you want. This isn’t an exercise. It is your actual plan for the next ten days.
You wrote code that handles a list of ideas, loops through them with logic, and formats real dates. None of that was trivial a year ago for the people who will build the next wave of AI tools. For you, it is day one.
The blank file is no longer intimidating. It is just an empty conversation waiting to start.