Update links in notebooks

DataFrames.ipynb

@@ -30,7 +30,7 @@
     "\n",
     "This tutorial serves to familiarize Julia users with the primary syntax and capaibilities of Julia's `DataFrames` package. There will be emphasis on making connections with Stata's syntax and features, but anyone with experience in statistical programming will be able to make connections to their preferred language.\n",
     "\n",
-    "First, let's call the packages we'll need for this demonstration. We'll be using Julia version 0.4.1 with DataFrames version 0.6.10 and FreqTables version 0.0.1."
+    "First, let's call the packages we'll need for this demonstration. We'll be using Julia version 0.5.1 with DataFrames version 0.6.10 and FreqTables version 0.0.1."
    ]
   },
   {
@@ -72,7 +72,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now let's read in some sample data --- the `auto` dataset from Stata (in CSV form: <https://github.com/jmxpearson/duke-julia-ssri-2016/blob/master/auto.csv>). In Julia, the `readtable()` function converts delimited text files into data frames. \n",
+    "Now let's read in some sample data --- the `auto` dataset from Stata (in CSV form: <https://github.com/jmxpearson/duke-julia-ssri/blob/master/auto.csv>). In Julia, the `readtable()` function converts delimited text files into data frames. \n",
     "\n",
     "There are a number of options for configuring the read-in operation, but for now we'll use a simple comma-separated file with standard configurations.\n",
     "\n",

DataImport.ipynb

@@ -37,7 +37,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "There is a `MAT` package that imports `.mat` files as a `Julia` dictionary. For this example, we will use the file located at <https://github.com/jmxpearson/duke-julia-ssri-2016/carbig.mat>"
+    "There is a `MAT` package that imports `.mat` files as a `Julia` dictionary. For this example, we will use the file located at <https://github.com/jmxpearson/duke-julia-ssri/carbig.mat>"
    ]
   },
   {

Regressions.ipynb

@@ -63,7 +63,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's start by loading in the same CSV file from our `DataFrames` example: (available at https://github.com/jmxpearson/duke-julia-ssri-2016/blob/master/auto.csv)"
+    "Let's start by loading in the same CSV file from our `DataFrames` example: (available at https://github.com/jmxpearson/duke-julia-ssri/blob/master/auto.csv)"
    ]
   },
   {

SimilarityOtherLanguages.ipynb

@@ -33,7 +33,7 @@
     "5. Avoid changing the `type` of a variable, and write `type`-stable functions\n",
     "6. Pre-allocate outputs as much as possible\n",
     "\n",
-    "A complete list of best practices is available [here](http://docs.julialang.org/en/release-0.4/manual/performance-tips/)."
+    "A complete list of best practices is available [here](http://docs.julialang.org/en/stable/manual/performance-tips/)."
    ]
   },
   {
@@ -46,7 +46,7 @@
    "source": [
     "## Similarity to other languages\n",
     "\n",
-    "See complete list [here](http://docs.julialang.org/en/release-0.4/manual/noteworthy-differences/)."
+    "See complete list [here](http://docs.julialang.org/en/stable/manual/noteworthy-differences/)."
    ]
   },
   {