Statistics 101 for System Administrators

Learn essential statistical techniques for system administrators using Python in this 30-minute conference talk from EuroPython 2014. Explore how to leverage Python's powerful libraries like itertools, scipy, and matplotlib to analyze system data efficiently. Discover methods for parsing log files, calculating basic statistics, and visualizing data distributions. Gain insights into linear correlation analysis using pearsonr and learn to create informative scatter plots. Follow along with code snippets and practical examples focused on network latency issues. Understand the importance of data visualization and how to use color effectively in plots. By the end of this talk, acquire the skills to replace traditional tools like sed, awk, and gnuplot with a more versatile and interactive Python-based approach for system data analysis.

Introduction
Welcome
Python statistics
Python distribution
Python collection
Scatter plots
Correlation function
Correlation
Combination
Using colors
I was fast
A correlation
Combinations