This documentation is organized into the following areas:
Technical SEO: This is to be an organized and wikipedia-style area covering the major informational areas of Technical SEO. We will go with the Russ Jones definition of Technical SEO and extend the realm into: Crawling, Rendering, Indexing, Data Science, and Machine Learning. Initial areas to construct are the first three.
Python: Resources for Beginning with Python, Code Examples, Data Science Resources, and other helpful code snippets.
R Stats: Resources for Beginning with R Stats, Code Examples, etc.
Here are a few points about pages:
With this said, it is critical to keep consistently of formatting between sections. For a specific content type, if a convention is used in one section, it should be used in all. Users should expect the same experience and understanding of where to find things across sections.
<Language> Overview sections are areas of training for the language. This should include information on Installation, libraries, etc. major thematic areas within a language can be broken out into separate sections. In many cases it is a good idea to link to really well done resources online covering different aspects for a language. If we are referencing a resource online, below is the correct format:
Where the resources online are narrowly relevant to Technical SEO needs, we should provide the content tailored to typical workflows.
All code examples sections should be organized into consistent major thematic areas of Technical SEO. Currently: