spark ✨

Explain core concepts?

SQL Quiz ⚡️ What’s wrong with this SQL query? 👇 SELECT * FROM users WHERE email = NULL;

If you know the square of a number, suppose 𝟐𝟎² = 𝟒𝟎𝟎, then you can get the square of the next number i.e. of 𝟐𝟏, by adding the sum of these two numbers: 𝟒𝟎𝟎 + (𝟐𝟎) + (𝟐𝟏) = 𝟒𝟒𝟏.

SELECT * FROM orders WHERE YEAR(order_date) = 2025; SELECT * FROM orders WHERE order_date >= '2025-01-01' AND order_date < '2026-01-01'; Which query is faster?

@Python_Dv If list multiplying with zero it will result in empty list []

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Dictionary Methods with Example

@Python_Dv B

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

@Python_Dv C

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@Python_Dv Unpacking

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@Python_Dv 10

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

@Python_Dv Option C

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Python quiz time

Python vs pyspark

@Python_Dv C

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Double Linked List: A "double linked list" is more powerful because each box knows both who came before it and who comes after it. This is why it's called "double" - it has two links. So, if you're at item 'B', you know 'A' was before you and 'C' is after you.

Single Linked List: In a "single linked list," each box knows only who comes after it. So, if you're at item 'B', you know item 'C' is next, but you have no idea who came before you (item 'A'). It's like a one-way street.

What is a Double Linked List? Imagine you have a list of items, like numbers or names, but they are not stored one after another in a fixed box. Instead, each item is in its own little box, and these boxes are connected to each other to form a chain.