Code With MEMO

the graph visualizes progress toward AGI benchmarks by showing how increasingly capable AI systems are trending upward in capability while approaching efficiency goals

Getting Stuff Done While You Sleep. it's power

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✅ Top 50 JavaScript Interview Questions 💻✨ 1. What are the key features of JavaScript? 2. Difference between var, let, and const 3. What is hoisting? 4. Explain closures with an example 5. What is the difference between == and ===? 6. What is event bubbling and capturing? 7. What is the DOM? 8. Difference between null and undefined 9. What are arrow functions? 10. Explain callback functions 11. What is a promise in JS? 12. Explain async/await 13. What is the difference between call, apply, and bind? 14. What is a prototype? 15. What is prototypal inheritance? 16. What is the use of ‘this’ keyword in JS? 17. Explain the concept of scope in JS 18. What is lexical scope? 19. What are higher-order functions? 20. What is a pure function? 21. What is the event loop in JS? 22. Explain microtask vs. macrotask queue 23. What is JSON and how is it used? 24. What are IIFEs (Immediately Invoked Function Expressions)? 25. What is the difference between synchronous and asynchronous code? 26. How does JavaScript handle memory management? 27. What is a JavaScript engine? 28. Difference between deep copy and shallow copy in JS 29. What is destructuring in ES6? 30. What is a spread operator? 31. What is a rest parameter? 32. What are template literals? 33. What is a module in JS? 34. Difference between default export and named export 35. How do you handle errors in JavaScript? 36. What is the use of try...catch? 37. What is a service worker? 38. What is localStorage vs. sessionStorage? 39. What is debounce and throttle? 40. Explain the fetch API 41. What are async generators? 42. How to create and dispatch custom events? 43. What is CORS in JS? 44. What is memory leak and how to prevent it in JS? 45. How do arrow functions differ from regular functions? 46. What are Map and Set in JavaScript? 47. Explain WeakMap and WeakSet 48. What are symbols in JS? 49. What is functional programming in JS? 50. How do you debug JavaScript code? 💬 Tap ❤️ for detailed answers!

How to create a sinusoidal wave in Python using Bokeh and NumPy 🐍

import numpy as np

from bokeh.layouts import gridplot
from bokeh.plotting import figure, output_file, show

N = 100
x = np.linspace(0, 4 * np.pi, N)
y0 = np.sin(x)

output_file('sinewave.html')

sine = figure(width=500, plot_height=500, title='Sine')
sine.circle(x, y0, size=10, color="navy", alpha=0.5)

p = gridplot([[sine]], toolbar_location=None)

show(p)

Quote of the day

Never dull your shine for somebody else.

Tyra Banks American fashion model and television personality

Question: How does method resolution order (MRO) work in Python when multiple inheritance is involved, and can you provide a code example to demonstrate the diamond problem and how Python resolves it using C3 linearization? Answer: In Python, method resolution order (MRO) determines the sequence in which base classes are searched when executing a method. When multiple inheritance is used, especially in cases like the "diamond problem" (where a class inherits from two classes that both inherit from a common base), Python uses the C3 linearization algorithm to establish a consistent MRO. The C3 linearization ensures that: - The subclass appears before its parents. - Parents appear in the order they are listed. - A parent class appears before any of its ancestors. Here’s an example demonstrating the diamond problem and how Python resolves it:

class A:
    def process(self):
        print("A.process")

class B(A):
    def process(self):
        print("B.process")

class C(A):
    def process(self):
        print("C.process")

class D(B, C):
    pass

# Check MRO
print("MRO of D:", [cls.__name__ for cls in D.mro()])
# Output: ['D', 'B', 'C', 'A', 'object']

# Call the method
d = D()
d.process()

Output:

MRO of D: ['D', 'B', 'C', 'A', 'object']
B.process

Explanation: - The D class inherits from B and C, both of which inherit from A. - Without proper MRO, calling d.process() could lead to ambiguity (e.g., should it call B.process or C.process?). - Python uses C3 linearization to compute MRO as: D -> B -> C -> A -> object. - Since B comes before C in the inheritance list, B.process is called first. - This avoids the diamond problem by ensuring a deterministic and predictable order. This mechanism allows developers to write complex class hierarchies without runtime ambiguity, making Python's multiple inheritance safe and usable.

Start small. Write clean code. Test often. Small steps —> Big progress.

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Thanks for all your best wishes❤️🥰

In a search ranking system, optimizing for clicks reduces diversity (users see similar content repeatedly). How do you balance relevance and diversity? Consider: Multi-objective optimization. Diversity-aware ranking (MMR, etc.). Long-term user satisfaction vs. short-term clicks. Online experiments to measure diversity impact.

Happy Birthday Mebrie!!!!!!!!!🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉

Happy born day

It's our channel founder's birthday today, Happy birthday from all the admins, sir💪

Quote of the day

Yesterday, December 7th, 1941—a date which will live in infamy—the United States of America was suddenly and deliberately attacked by naval and air forces of the Empire of Japan.

Franklin D. Roosevelt 32nd president of the United States

Guys I see that behav in many peoples😭😭 how some people seem to get more joy from others' failures than from their own success? Even worse, they're not bothered by their own failure... unless someone else fails with them.🥲 What the hell is that about? It's Very Very......

✅ Top Platforms to Practice Coding for Beginners 🧑‍💻🚀 1️⃣ LeetCode – Best for Data Structures & Algorithms – Ideal for interview prep (easy to hard levels) 2️⃣ HackerRank – Practice Python, SQL, Java, and 30 Days of Code – Also covers AI, databases, and regex 3️⃣ Codeforces – Great for competitive programming – Regular contests & strong community 4️⃣ Codewars – Solve "Kata" (challenges) ranked by difficulty – Clean interface and fun challenges 5️⃣ GeeksforGeeks – Tons of articles + coding problems – Covers both theory and practice 6️⃣ Exercism – Mentor-based feedback – Clean challenges in over 50 languages 7️⃣ Project Euler – Math + programming-based problems – Great for logical thinking 8️⃣ Replit – Write and run code in-browser – Build mini-projects without installing anything 9️⃣ Kaggle (for Data Science) – Practice Python, Pandas, ML, and join competitions 🔟 GitHub – Explore open-source code – Contribute, learn, and build your portfolio 💡 @codewithmemo @codewithmemo

Linus Torvalds💯💯