🎯Day 2/30 of AI & ML Learning Journey - python(basic) Conditions, Loops & Functions🐍🤖

This video will help you to learn python for aiml

DAY 3 (DETAILED): Lists, Tuples, Sets & Dictionaries
with Manipulation & Predefined Functions
⏱ Time: 3–3.5 hours
🎯 Goal:
Store, access, modify, and process data
Use built-in functions confidently
Prepare for NumPy, Pandas, ML datasets
🔹 1️⃣ LIST (Most Important for ML)
What is a List?
Ordered
Mutable (changeable)
Allows duplicates
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numbers = [10, 20, 30, 40]
🔧 List Manipulation
Access
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numbers[0] # first element
numbers[-1] # last element
Modify
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numbers[1] = 25
Add elements
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numbers.append(50)
numbers.insert(1, 15)
Remove elements
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numbers.remove(30)
numbers.pop()
numbers.pop(0)
🧠 Predefined List Functions
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len(numbers)
max(numbers)
min(numbers)
sum(numbers)
sorted(numbers)
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numbers.sort()
numbers.reverse()
🔁 Loop + List
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for num in numbers:
print(num)
📌 ML Insight
Feature values, predictions, labels → all start as lists.
🔹 2️⃣ TUPLE (Safe, Fixed Data)
What is a Tuple?
Ordered
Immutable (cannot change)
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points = (10, 20, 30)
Tuple Operations
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points[0]
len(points)
max(points)
min(points)
❌ This will fail:
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points[0] = 100
📌 Use case: Fixed configuration, coordinates, constants.
🔹 3️⃣ SET (Unique Values Only)
What is a Set?
Unordered
No duplicates
Fast lookup
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nums = {1, 2, 2, 3, 4}
🔧 Set Manipulation
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nums.add(5)
nums.remove(2)
nums.discard(10) # no error
🧠 Predefined Set Functions
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len(nums)
Set Operations (VERY IMPORTANT)
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a = {1, 2, 3}
b = {3, 4, 5}

a.union(b)
a.intersection(b)
a.difference(b)
📌 ML Insight: Remove duplicates, find common categories.
🔹 4️⃣ DICTIONARY (MOST IMPORTANT 🔥🔥)
What is a Dictionary?
Key → Value structure
Used in APIs, ML models, JSON
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student = {
"name": "Rakesh",
"age": 21,
"course": "AI/ML"
}
🔧 Dictionary Manipulation
Access
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student["name"]
student.get("age")
Modify / Add
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student["age"] = 22
student["city"] = "Bangalore"
Delete
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student.pop("city")
del student["course"]
🧠 Predefined Dictionary Functions
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student.keys()
student.values()
student.items()
len(student)
🔁 Loop Dictionary
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for key, value in student.items():
print(key, ":", value)
Dictionary + Function
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def show_student(data):
for k, v in data.items():
print(k, v)

show_student(student)
📌 ML Insight:
Model parameters, hyperparameters, API responses → dictionaries.
🔹 5️⃣ Conversion Between Structures (IMPORTANT)
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list(nums)
set(numbers)
tuple(numbers)
📌 Used heavily in data preprocessing.
🔹 6️⃣ Mini Practice (Hands-On)
1️⃣ Sort a list and find max
2️⃣ Convert list → set to remove duplicates
3️⃣ Count items using dictionary
4️⃣ Pass list/dict into function
🔹 7️⃣ End-of-Day Challenge (🔥)
Problem:
✔ Input list of numbers
✔ Remove duplicates
✔ Store result in dictionary
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def process_data(data):
unique = set(data)
return {
"original": data,
"unique": unique,
"count": len(unique)
}

print(process_data([1,2,2,3,4]))
🧠 DAY 3 CHECKLIST ✅
✔ List manipulation
✔ Used built-in functions
✔ Used set operations
✔ Dictionary CRUD operations
💡 Pro Tip (AI/ML POV)
Data preprocessing = 70% of ML work
This day decides your ML future

DAY 4 – NumPy Arrays (ML Starts Here)

assignment

Palantir article 🌍

-> https://www.theguardian.com/commentisfree/2025/aug/24/palantir-artificial-intelligence-civil-rights

GitHub Foundations Certification ⭐️ https://education.github.com/experiences/foundations_certificate

NVIDIA AI Courses for free 🌟
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