Read and Process a CSV File Efficiently | Dataford Interview Questions

Write code to read and process a CSV file, explaining your approach as you go. Asked in the coding round stage. Junior SysDE loop coding round 1.

Implement process_csv(csv_text). The first CSV row is the header. Return a list of dictionaries mapping each header to its row value. Preserve values as strings, support quoted commas and quoted newlines, and ignore blank records.

Constraints

The input contains a header row.
The input is valid CSV.
Every data row has the same number of fields as the header.
There are at most 5,000 data rows.
All returned values remain strings.

Function Signature

def process_csv(csv_text):

Your question is Read and Process a CSV File Efficiently. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem

Write code to read and process a CSV file, explaining your approach as you go. Asked in the coding round stage. Junior SysDE loop coding round 1.

Constraints

The input contains a header row.
The input is valid CSV.
Every data row has the same number of fields as the header.
There are at most 5,000 data rows.
All returned values remain strings.

Function Signature

def process_csv(csv_text):

Your question is Read and Process a CSV File Efficiently. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.