Added anchors for each AWS command line topic. Updated README with AWS topics.

README.md

@@ -1,7 +1,7 @@
 ![alt text](http://i2.wp.com/donnemartin.com/wp-content/uploads/2015/02/ipython_notebook_cover2-e1425213196820.png)
 
 # ipython-data-notebooks
-IPython Notebooks geared towards Python data analysis (core Python, NumPy, pandas, matplotlib, SciPy, scikit-learn, aws, spark, command line).
+IPython Notebooks geared towards Python data analysis (core Python, NumPy, pandas, matplotlib, SciPy, scikit-learn, AWS, Spark, command line).
 
 ## python-core
 
@@ -26,6 +26,11 @@ IPython Notebooks demonstrating pandas functionality.
 IPython Notebooks demonstrating Amazon Web Services functionality.
 
 * [aws](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/aws/aws.ipynb)
+* [s3cmd](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/aws/aws.ipynb#s3cmd)
+* [s3-parallel-put](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/aws/aws.ipynb#s3-parallel-put)
+* [S3DistCp](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/aws/aws.ipynb#s3distcp)
+* [mrjob](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/aws/aws.ipynb#mrjob)
+* [Redshift](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/aws/aws.ipynb#redshift)
 
 ## spark
 

aws/aws.ipynb

@@ -1,7 +1,7 @@
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@@ -12,14 +12,21 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "# AWS Command Lines"
+      "# AWS Command Lines\n",
+      "\n",
+      "* SSH to EC2\n",
+      "* S3cmd\n",
+      "* s3-parallel-put\n",
+      "* S3DistCp\n",
+      "* mrjob\n",
+      "* Redshift"
      ]
     },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "## Connect to EC2"
+      "<h2 id=\"ssh-to-ec2\">SSH to EC2</h2>"
      ]
     },
     {
@@ -60,7 +67,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "## S3cmd\n",
+      "<h2 id=\"s3cmd\">S3cmd</h2>\n",
       "\n",
       "Before I discovered [S3cmd](http://s3tools.org/s3cmd), I had been using the [S3 console](http://aws.amazon.com/console/) to do basic operations and [boto](https://boto.readthedocs.org/en/latest/) to do more of the heavy lifting.  However, sometimes I just want to hack away at a command line to do my work.\n",
       "\n",
@@ -167,7 +174,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "## s3-parallel-put\n",
+      "<h2 id=\"s3-parallel-put\">s3-parallel-put</h2>\n",
       "\n",
       "[s3-parallel-put](https://github.com/twpayne/s3-parallel-put.git) is a great tool for uploading multiple files to S3 in parallel."
      ]
@@ -263,7 +270,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "## S3DistCp\n",
+      "<h2 id=\"s3distcp\">S3DistCp</h2>\n",
       "\n",
       "[S3DistCp](http://docs.aws.amazon.com/ElasticMapReduce/latest/DeveloperGuide/UsingEMR_s3distcp.html) is an extension of DistCp that is optimized to work with Amazon S3.  S3DistCp is useful for combining smaller files and aggregate them together, taking in a pattern and target file to combine smaller input files to larger ones.  S3DistCp can also be used to transfer large volumes of data from S3 to your Hadoop cluster."
      ]
@@ -338,7 +345,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "## mrjob"
+      "<h2 id=\"mrjob\">mrjob</h2>"
      ]
     },
     {
@@ -379,7 +386,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "## Redshift"
+      "<h2 id=\"redshift\">Redshift</h2>"
      ]
     },
     {