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 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...

How to Create a Symmetric Array in Python

 Here's a Python program that says to write a Symmetric array transformation. A top interview question.


Symmetric array example


Symmetric Array Transformation

Problem:


Write a Python function that transforms a given array into a symmetric array by mirroring it around its center. For example:

  • Input: [1, 2, 3]
  • Output: [1, 2, 3, 2, 1]

Hints:

  • Use slicing for the reverse part.
  • Concatenate the original array with its mirrored part.

Example

def symmetric_array(arr):
    """
    Transforms the input array into a symmetric array by mirroring it around its center.

    Parameters:
    arr (list): The input array.

    Returns:
    list: The symmetric array.
    """
    # Mirror the array by concatenating the original with its reverse (excluding the last element to avoid duplication)
    return arr + arr[-2::-1]

# Example usage
input_array = [1, 2, 3]
symmetric_result = symmetric_array(input_array)
print("Input Array:", input_array)
print("Symmetric Array:", symmetric_result)

Output:

For the input [1, 2, 3], the output will be:

Input Array: [1, 2, 3] Symmetric Array: [1, 2, 3, 2, 1]

Explanation

  1. arr[-2::-1]:

    • This slices the array in reverse order starting from the second-to-last element to avoid duplicating the middle element.
  2. Concatenation (+):

    • Combines the original array with its mirrored part to create symmetry.

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