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|---|---|---|---|
@@ -3,10 +3,6 @@ Reading Great Code | |||
| 3 | 3 | ||
| 4 | 4 | .. image:: /_static/photos/34689452831_93d7fd0571_k_d.jpg | |
| 5 | 5 | ||
| 6 | - One of the core tenets behind the design of Python is creating | ||
| 7 | - readable code. The motivation behind this design is simple: The number | ||
| 8 | - one thing that Python programmers do is read code. | ||
| 9 | - | ||
| 10 | 6 | One of the secrets of becoming a great Python programmer is to read, | |
| 11 | 7 | understand, and comprehend excellent code. | |
| 12 | 8 | ||
@@ -28,12 +24,12 @@ reading. Each one of these projects is a paragon of Python coding. | |||
| 28 | 24 | - `Diamond <https://github.com/python-diamond/Diamond>`_ | |
| 29 | 25 | Diamond is a python daemon that collects metrics | |
| 30 | 26 | and publishes them to Graphite or other backends. | |
| 31 | - It is capable of collecting cpu, memory, network, i/o, load and disk metrics. | ||
| 27 | + It is capable of collecting CPU, memory, network, I/O, load, and disk metrics. | ||
| 32 | 28 | Additionally, it features an API for implementing custom collectors | |
| 33 | 29 | for gathering metrics from almost any source. | |
| 34 | 30 | ||
| 35 | 31 | - `Werkzeug <https://github.com/mitsuhiko/werkzeug>`_ | |
| 36 | - Werkzeug started as simple collection of various utilities for WSGI | ||
| 32 | + Werkzeug started as a simple collection of various utilities for WSGI | ||
| 37 | 33 | applications and has become one of the most advanced WSGI utility modules. | |
| 38 | 34 | It includes a powerful debugger, full-featured request and response objects, | |
| 39 | 35 | HTTP utilities to handle entity tags, cache control headers, HTTP dates, | |
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