🚀 5 Must-Know Python Interview Questions for Data Analysts! #Python #DataAnalytics #InterviewPrep

📊 5 Essential Python Interview Questions for Data Analysts!

💡 Question 1: Difference between loc[] and iloc[] in Pandas

loc[] is label-based indexing (uses row/column names).
iloc[] is position-based indexing (uses numerical indices).
💡 Question 2: Handling Missing Data in Pandas

Use dropna() to remove missing values.
Use fillna() to replace missing values with a specific value or method (mean, median, etc.).
💡 Question 3: Best Python Libraries for Data Analysis

Commonly used ones: Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn.
💡 Question 4: Vectorization in NumPy

Vectorization uses optimized C and Fortran libraries to perform operations faster than Python loops.
💡 Question 5: Improving Pandas DataFrame Performance

Convert object types to categorical for memory efficiency.
Use .apply() cautiously; prefer vectorized functions.
Enable multi-threading with Dask for large datasets.
💬 Which of these concepts do you use daily? Drop your thoughts in the comments!

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