Data processing with Python

1. Introduction
2. Variables, objects, data types
3. Control flow and loops
4. Text extraction and processing, regular expressions
5. Pandas and NumPy libraries
6. Data sources, input and output
7. Charts

Examples at github.com/shoorick

1. tram-age: command line interface, YAML config, web scraping, data processing
2. slide-django: web application built with Django, database and ORM
   • See in action at slide.susu.ru
3. tile-stat: text extraction, data processing, bar chart plotting
4. zenmoney-tools: CSV data source, data aggregation, bar chart plotting
5. weight: web application built with Flask, database and SQL queries

shoorick.ru/slide/python