Learn to Code. Talk to Data. Build Real AI.

Step 1: Creating the Box

player_name = "Alex"  # The quotes mean it is text (a String)
player_score = 50     # No quotes means it is a number (an Integer)

Step 2: Doing Math

bonus_points = 25
total_score = player_score + bonus_points  # Python does 50 + 25 automatically!

Step 3: Talking to the Computer

We use the print() command to make the computer speak the answer back to us.

print("Hello", player_name)
print("Your total score is:", total_score)

✋ Hands-On Practice: Your Turn!

Open Replit.com and try this exact mission:

1. Create a variable called my_favorite_food and set it to your favorite food.
2. Create a variable called food_price and set it to 10.
3. Print out a sentence that says: "My favorite food is [food] and it costs [price]."

💡 Hint: Type print("My favorite food is", my_favorite_food)

Step 1: Packing the Backpack

We use square brackets [] to create a list.

my_friends = ["Sarah", "John", "Mike", "Emma"]

Step 2: Pulling items out of the Backpack

Computers are weird. They start counting at 0, not 1!

print("My first friend is:", my_friends[0]) # Prints Sarah!
print("My second friend is:", my_friends[1]) # Prints John!

Step 3: Adding to the Backpack

Use the magic word .append() to add something new.

my_friends.append("Leo")
print("I now have", len(my_friends), "friends!") # len() tells us how many items!

✋ Hands-On Practice: The Shopping List

1. Create a list called shopping_list and put 3 items in it (e.g., "Apples", "Milk", "Bread").
2. Print out the VERY FIRST item in your list using [0].
3. Use .append() to add "Cookies" to your list, and print the whole list!

Making Decisions (If / Else)

temperature = 30

if temperature > 25:
    print("It's hot outside! Eat ice cream.")
else:
    print("It's cold. Wear a jacket.")

The Magic Loop (For Loops)

Let's combine our Backpack (List) with a Loop. This code automatically says hello to every friend in the backpack, one by one!

my_friends = ["Sarah", "John", "Mike"]

for friend in my_friends:
    print("Hello,", friend, "! Let's learn AI!")

✋ Hands-On Practice: The Game Over Screen

1. Create a variable called player_lives and set it to 0.
2. Write an if statement: If player_lives is equal to 0 (use ==), print "Game Over!".
3. Write an else statement: Otherwise, print "Keep Playing!".

Step 1: Import the Tool

Before we use Pandas, we have to invite it to our code using import.

import pandas as pd

Step 2: Load the File

CSV means "Comma Separated Values". It's just a simple text file holding our table data.

# Load the file into a DataFrame box called 'df'
df = pd.read_csv("superheroes.csv")

Step 3: Look at the Data

# .head() looks at the very top 5 rows
print(df.head(5))

# .shape tells us (Rows, Columns)
print("Rows and Columns:", df.shape)

✋ Hands-On Practice: Your First Dataset

Open Google Colab (colab.research.google.com) and try this:

1. Type import pandas as pd in the first cell and run it.
2. Google Colab has a built-in file called 'california_housing_train.csv' in the 'sample_data' folder!
3. Load it: my_data = pd.read_csv("sample_data/california_housing_train.csv")
4. Print the first 10 rows using print(my_data.head(10))!

Filtering by Yes/No (Booleans)

We put the condition inside the square brackets [].

# Find only the superheroes who can fly
flying_heroes = df[df['Can_Fly'] == True]
print("Number of flying heroes:", len(flying_heroes))

Filtering by Numbers

We use math symbols like > (Greater Than) or < (Less Than).

# Find heroes with power level over 9000
super_strong = df[df['Power_Level'] > 9000]
print(super_strong['Name'])

✋ Hands-On Practice: The Gotham Detective

1. Imagine you have a superhero dataframe called df.
2. Write the exact code to filter and find all superheroes whose 'City' is exactly equal to 'Gotham'.
3. Save it in a variable called gotham_heroes.

💡 Hint: Use df[df['City'] == "Gotham"]. Notice we use double equals == to check if something is equal!

Drawing a Line Graph (Trend over time)

import matplotlib.pyplot as plt

# Monthly Sales data for a small shop
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May']
sales  = [1200,  1800,  1500,  2300,  2100]

plt.plot(months, sales, color='cyan', marker='o', linewidth=2)
plt.title("Monthly Sales Trend")
plt.ylabel("Sales (₹)")
plt.xlabel("Month")
plt.grid(True, alpha=0.3)
plt.show()

Drawing a Pie Chart

# Favourite sports survey at school
sports  = ['Cricket', 'Football', 'Badminton', 'Chess']
votes   = [45, 30, 15, 10]
colors  = ['#f43f5e','#38bdf8','#34d399','#fbbf24']

plt.pie(votes, labels=sports, colors=colors, autopct='%1.0f%%')
plt.title("Most Popular Sport in Our Class")
plt.show()

✋ NCERT Hands-On: Class Survey Analyzer

1. Survey your classmates: ask them their favourite subject (Maths, Science, English, Hindi).
2. Enter the counts as a Python list.
3. Draw a Pie Chart showing the results!

import pandas as pd

marks = pd.Series([72, 85, 90, 85, 60, 72, 99, 85, 40, 72])

print("Mean (Average):", marks.mean())    # (72+85+...)/10
print("Median (Middle):", marks.median()) # Sort then pick centre
print("Mode (Most Common):", marks.mode()[0]) # Which number appears most?
print("Std Dev (Spread):", round(marks.std(), 2))  # How spread-out is the data?