Junior — Middle
Share examples of the most exciting technical problems you have encountered and successfully solved.
sobes.tech AI
Answer from AI
Example of an interesting technical problem in Python:
Optimizing large data processing I needed to process a large CSV file (several gigabytes) that couldn't fit into memory. The task was to calculate statistics for certain columns.
Solution:
- Used generators and the
csvmodule for line-by-line processing. - Applied dictionaries to count aggregates.
- Optimized the code to minimize memory usage and speed up processing.
Code example:
import csv
def process_large_csv(file_path):
stats = {}
with open(file_path, newline='') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
key = row['category']
value = int(row['value'])
stats[key] = stats.get(key, 0) + value
return stats
This approach allowed efficient data processing without loading the entire file into memory.
Other examples may include automating routine tasks, writing scripts for API integration, or creating web applications using Flask or Django.