Web Server Log Analysis – Python Take-Home Assessment

🎯 Objective: Analyze one year of real-world web server log data using Python to extract meaningful insights.

📦 Dataset: Calgary HTTP Dataset
📁 Tools Used: Python, Pandas, Regex, datetime

🔍 What I cover in this video:

Downloading and extracting .gz logs using urllib and gzip

Parsing log entries with regular expressions

Cleaning and structuring the data using Pandas

Answering 10 key analysis questions including 404 errors, bandwidth usage, and hourly patterns

🎥 Why this video?
This video is part of a take-home assignment given to evaluate my Python data analysis skills. I explain my code, logic, and decisions step by step in a clear and structured manner.

🌐 Source Dataset:
ftp://ita.ee.lbl.gov/traces/calgary_access_log.gz

🧾 Transcript and code submitted as part of calgary-http-assessment.zip

Thanks for watching!

Видео Web Server Log Analysis – Python Take-Home Assessment канала Mayank Nautiyal