From 66770a5ebda9d5d4d66a7125eb64c804101fac06 Mon Sep 17 00:00:00 2001 From: Donne Martin Date: Thu, 9 Apr 2015 13:34:15 -0400 Subject: [PATCH] Added numpy to README. Reordered some sections. --- README.md | 22 +++++++++++++--------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 0d5e738..6e1b5d7 100644 --- a/README.md +++ b/README.md @@ -114,6 +114,19 @@ IPython Notebook(s) demonstrating various command lines for Linux, Git, etc. | [ruby](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/commands/misc.ipynb#ruby) | Used to interact with the AWS command line and for Jekyll, a blog framework that can be hosted on GitHub Pages. | | [jekyll](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/commands/misc.ipynb#jekyll) | Simple, blog-aware, static site generator for personal, project, or organization sites. Renders Markdown or Textile and Liquid templates, and produces a complete, static website ready to be served by Apache HTTP Server, Nginx or another web server. | +
+

+ +

+ +## numpy + +IPython Notebook(s) demonstrating NumPy functionality. + +| Notebook | Description | +|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| [numpy](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/numpy/numpy.ipynb) | Adds Python support for large, multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays. | +

@@ -132,15 +145,6 @@ IPython Notebook(s) demonstrating various command lines for Linux, Git, etc. [Coming Soon] IPython Notebook(s) demonstrating SciPy functionality. -
-

- -

- -## numpy - -[Coming Soon] IPython Notebook(s) demonstrating NumPy functionality. - ## References * [Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython](http://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793)