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Facing tough data engineering interview questions? ❓Question: How do you find the average order cost? 📣 Answer: To find the average order cost: SELECT AVG(price * quantity + tax_rate + shipping_rate) AS average_order_cost FROM orders; Learn more in our video! 📊

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Ever faced tough data scientist interview questions? ❓Given a data set with over 30% missing values, how will you deal with them? 💡For large data sets, remove rows with missing values. For smaller sets, use pandas in Python to fill in the gaps with the mean.

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Tough data engineer interview questions? ❓ What data points for a calendar app? 1. 📅 Views: Daily, weekly, monthly 2. ✏️ Events: Create, edit, delete 3. 🔔 Interactions: Reminders, search 4. 🚀 Performance: Load times, events/session Watch our video!

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Facing Python interview questions? ❓ Difference between apply and applymap in pandas? 💡 Tip: - Apply: Row/column/element-wise on DataFrames/Series for complex tasks. - Applymap: Element-wise on DataFrames for simple transformations. Learn more in our video!

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Data engineering interviews got you puzzled? Question: Which Python libraries for efficient data processing? Use NumPy and pandas: -NumPy: Fast numerical operations. -pandas: Easy data manipulation and prep for machine learning. Watch how they simplify processing!

What’s the difference between is and == in Python? 🎯 Goal: Test your grasp of object identity vs. value equality. Answer: - == checks value equality. - is checks reference equality. Learn more in our video! 📊

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Need to find where a value fits in a sorted list? Question: Write a function to locate the left insertion point for a value. Tip: Use Python's bisect module: from bisect import bisect_left def find_left_insertion_point(a, x): return bisect_left(a, x) Learn more in our video!

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