Share an example from your professional practice that left the biggest impression on you.

One of the memorable projects was related to automating the processing of large volumes of data using Python. I needed to write a script that collected data from several APIs, processed it, and stored it in a database.

For this, I used:

• requests for working with APIs;
• pandas for data processing and analysis;
• SQLAlchemy for database interaction.

Example code for data request and processing:

import requests
import pandas as pd

response = requests.get('https://api.example.com/data')
data = response.json()
df = pd.DataFrame(data)
# Data processing
filtered_df = df[df['value'] > 100]

# Saving to database (example)
from sqlalchemy import create_engine
engine = create_engine('sqlite:///mydb.sqlite')
filtered_df.to_sql('filtered_data', engine, if_exists='replace')

This project helped me better understand working with APIs, data processing, and database integration, as well as improved my skills in writing clean and maintainable code.