more helpful links

[stharrold]

replace [ref] with links

Helpful links

Some links I found helpful for this blog post:

• American Community Survey (ACS):
  • ACS About.
  • ACS Guidance for Data Users describes how to get started with ACS data.
  • ACS Technical Documentation links to resources for learning how to work with ACS data.
  • ACS Methodology includes design details, sample sizes, coverage estimates, and past questionnaires.
  • ACS Library has a collection of reports and infographics using ACS data.
• Python:
  • Learning Python (5th ed, 2013, O'Reilly) was my formal introduction to Python.
  • Python for Data Analysis (2012, O'Reilly) introduced me to pandas.
  • Python Cookbook (3rd ed, 2013, O'Reilly) has a collection of optimized recipes.
  • From the well-documented Python 3.5 standard library, I used collections, functools, os, pdb, subprocess, sys, and time for this post.
  • Likewise, the documentation for numpy and pandas is thorough and invaluable.
  • Of IPython's convenient "magic" commands, within this post's Jupyter Notebooks, I used %pdb, %reload_ext, and the extension %autoreload.
  • StackOverflow "How to get line count cheaply in Python" (compare to wc -l).
• dsdemos v0.0.3:
  • To design the package file structure, I used Learning Python (O'Reilly) Section V, "Modules and Packages".
  • I use Google-style docstrings adapted from the example by the Napoleon extension to Sphinx (a Python documentation generator, not yet used by dsdemos).
  • Pytest for testing.
  • Semantic Versioning for version numbers.
• Git:
  • GitHub Guides are where I started with git.
  • Git documentation answers a lot of questions.
  • Gitflow streamlines my repository management with this branching model.
  • StackOverflow "Download a specific tag with git".

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Add to 20151208...md: * Classic Shell Scripting (2005, O'Reilly) was my formal introduction to Bash and Linux/Unix.