Reading Great Code

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One of the secrets of becoming a great Python programmer is to read, understand, and comprehend excellent code.

Excellent code typically follows the guidelines outlined in Code Style, and does its best to express a clear and concise intent to the reader.

Included below is a list of recommended Python projects for reading. Each one of these projects is a paragon of Python coding.

  • Howdoi Howdoi is a code search tool, written in Python.
  • Flask Flask is a microframework for Python based on Werkzeug and Jinja2. It’s intended for getting started very quickly and was developed with best intentions in mind.
  • Diamond Diamond is a Python daemon that collects metrics and publishes them to Graphite or other backends. It is capable of collecting CPU, memory, network, I/O, load, and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.
  • Werkzeug Werkzeug started as a simple collection of various utilities for WSGI applications and has become one of the most advanced WSGI utility modules. It includes a powerful debugger, full-featured request and response objects, HTTP utilities to handle entity tags, cache control headers, HTTP dates, cookie handling, file uploads, a powerful URL routing system, and a bunch of community-contributed addon modules.
  • Requests Requests is an Apache2 Licensed HTTP library, written in Python, for human beings.
  • Tablib Tablib is a format-agnostic tabular dataset library, written in Python.

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Include code examples of exemplary code from each of the projects listed. Explain why it is excellent code. Use complex examples.

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Explain techniques to rapidly identify data structures and algorithms and determine what the code is doing.