Python Question / Quiz;

What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇

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Python Question / Quiz;

What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience

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Python Question / Quiz;

What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming

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Python Question / Quiz;

What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming

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What will be the output of the following code?

import numpy as np
numbers = np.array([1, 2, 3])
new_numbers = numbers + 1
print(new_numbers.tolist())

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Python Question / Quiz;

What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience

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🧠 What is a Generator in Python?
A generator is a special type of iterator that produces values lazily—one at a time, and only when needed—without storing them all in memory.

---

❓ How do you create a generator?
✅ Correct answer:
Option 1: Use the yield keyword inside a function.

🔥 Simple example:

def countdown(n):
    while n > 0:
        yield n
        n -= 1

When you call this function:

gen = countdown(3)
print(next(gen))  # 3
print(next(gen))  # 2
print(next(gen))  # 1

Each time you call next(), the function resumes from where it left off, runs until it hits yield, returns a value, and pauses again.

---

⛔ Why are the other options incorrect?

- Option 2 (class with __iter__ and __next__):
It works, but it’s more complex. Using yield is simpler and more Pythonic.

- Options 3 & 4 (for or while loops):
Loops are not generators themselves. They just iterate over iterables.

---

💡 Pro Tip:
Generators are perfect when working with large or infinite datasets. They’re memory-efficient, fast, and clean to write.

---

📌 #Python #Generator #yield #AdvancedPython #PythonTips #Coding


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Question 1 (Intermediate):
In Python, which of these is the correct way to create a virtual environment?

A) python create venv
B) python -m venv myenv
C) pip install virtualenv
D) conda make env

#Python #Development #VirtualEnv #Coding

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