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Analyzing Apache Server Logs with Python | Calgary HTTP Dataset

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📊 Web Server Log Analysis using Python
In this video, I walk through my complete solution to the Web Server Log Analysis take-home project using the Calgary HTTP dataset. I demonstrate how I parsed, cleaned, and analyzed Apache server log data using Python and Pandas in a Jupyter Notebook. The video includes step-by-step code execution, logic explanation, and a brief overview of challenges encountered.
✅ Topics Covered:
Parsing Apache log format
Data cleaning & preprocessing
Extracting HTTP methods, filenames, extensions
Aggregation and analysis (e.g., top hosts, status codes, unique filename counts)
Exporting results for further use
💡 Tools Used:
Python, Pandas, Jupyter Notebook
In this video, I walk through my complete solution to the Web Server Log Analysis take-home project using the Calgary HTTP dataset. I demonstrate how I parsed, cleaned, and analyzed Apache server log data using Python and Pandas in a Jupyter Notebook. The video includes step-by-step code execution, logic explanation, and a brief overview of challenges encountered.
✅ Topics Covered:
Parsing Apache log format
Data cleaning & preprocessing
Extracting HTTP methods, filenames, extensions
Aggregation and analysis (e.g., top hosts, status codes, unique filename counts)
Exporting results for further use
💡 Tools Used:
Python, Pandas, Jupyter Notebook