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python-guide/docs/writing/reading.rst
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2018-07-16 17:51:29 -07:00

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Reading Great Code
==================
.. image:: /_static/photos/34689452831_93d7fd0571_k_d.jpg
One of the core tenets behind the design of Python is creating
readable code. The motivation behind this design is simple: The number
one thing that Python programmers do is read code.
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
:ref:`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 <https://github.com/gleitz/howdoi>`_
Howdoi is a code search tool, written in Python.
- `Flask <https://github.com/mitsuhiko/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 <https://github.com/python-diamond/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 <https://github.com/mitsuhiko/werkzeug>`_
Werkzeug started as 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 <https://github.com/kennethreitz/requests>`_
Requests is an Apache2 Licensed HTTP library, written in Python,
for human beings.
- `Tablib <https://github.com/kennethreitz/tablib>`_
Tablib is a format-agnostic tabular dataset library, written in Python.
.. todo:: Include code examples of exemplary code from each of the projects listed. Explain why it is excellent code. Use complex examples.
.. todo:: Explain techniques to rapidly identify data structures, algorithms and determine what the code is doing.