🌱 Junior Track 07 of 08

7. Python Comprehensions

Master declarative sequence construction: `List Comprehensions`, `Dictionary Comprehensions`, `Set Comprehensions`, `Generator Expressions (Lazy Evaluation)`, `Filtering vs Transformation`, and `Nested Matrix Flattening`.

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🎓 Junior Python Curriculum — Select Module

1️⃣ Fundamentals 2️⃣ Data Types 3️⃣ Operators 4️⃣ Conditionals 5️⃣ Loops 6️⃣ Collections 7️⃣ Comprehensions 8️⃣ Functions 9️⃣ *args & **kwargs 🔟 Scope & Namespaces 1️⃣1️⃣ OOP 1️⃣2️⃣ Exceptions 1️⃣3️⃣ File Handling 1️⃣4️⃣ Modules & Packages 1️⃣5️⃣ Virtual Environments 1️⃣6️⃣ Standard Library 1️⃣7️⃣ Iterators & Iterables 1️⃣8️⃣ Generators 1️⃣9️⃣ Decorators 2️⃣0️⃣ Context Managers 2️⃣1️⃣ Lambda Functions 2️⃣2️⃣ Functional Programming 2️⃣3️⃣ Type Hints 2️⃣4️⃣ Dataclasses 2️⃣5️⃣ Testing 2️⃣6️⃣ Debugging 2️⃣7️⃣ Logging 2️⃣8️⃣ JSON & Data 2️⃣9️⃣ Regular Expressions 3️⃣0️⃣ Databases 
# JUNIOR PYTHON TRACK 07 — COMPREHENSIONS

# 1. List Comprehension with Filtering
evens = [x ** 2 for x in range(10) if x % 2 == 0]

# 2. Dict Comprehension
square_map = {x: x ** 2 for x in range(1, 6)}

# 3. Set Comprehension
unique_lengths = {len(word) for word in ["apple", "banana", "fig", "apple"]}

# 4. Generator Expression (Lazy Memory O(1))
total_sum = sum(x * 2 for x in range(1000))

print(f"Evens: {evens}, Map: {square_map}, Sum: {total_sum}")

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