removing broken links thanks to pr mattmakai#198

mattmakai · mattmakai · commit 20f5006fc2fb · 2019-01-08T10:39:28.000-05:00
diff --git a/content/pages/01-introduction/04-python-2-or-3.markdown b/content/pages/01-introduction/04-python-2-or-3.markdown
@@ -85,10 +85,6 @@ gone through the process and have advice for making it less painful.
   deploying the new version before going back to clean up unnecessary code
   created by the transition.
 
-* [The only problem with Python 3's str is that you don't grok it](http://sircmpwn.github.io/2017/01/13/The-problem-with-Python-3.html)
-  specifically covers strings and some of the misconceptions around
-  how strings are handled in version 2 versus version 3.
-
 * [Migrating to Python 3 with pleasure](https://github.com/arogozhnikov/python3_with_pleasure)
   is a porting guide that focuses on code that data scientists would 
   typically use in their programs.
@@ -165,12 +161,6 @@ should upgrade as soon as possible.
   strongly encourages Python 3 adoption by publicly stating their
   intentions. 
 
-* [There isn’t really a Python 2 vs Python 3 Problem](http://pythonforengineers.com/there-isnt-really-a-python-2-vs-python-3-problem/)
-  tries to cut past the concern about the Python 2 vs 3 divide and explain
-  that it's really not a major concern as a Python programmer. The 
-  recommendation to new programmers is to use Python 3 and for experienced 
-  developers to keep your explanation simple: Python 3 is where to begin.
-
 * [10 awesome features of Python that you can't use because you refuse to upgrade to Python 3](http://www.asmeurer.com/python3-presentation/slides.html)
   is a great slideshow with code snippets that show useful new features
   of Python 3 that are not available in 2.x such as keyword-only
diff --git a/content/pages/01-introduction/08-best-python-resources.markdown b/content/pages/01-introduction/08-best-python-resources.markdown
@@ -68,9 +68,6 @@ should skip down to the next section for "experienced developers".
 * [A Byte of Python](http://www.swaroopch.com/notes/python/) is a beginner's
   tutorial for the Python language. 
 
-* Code Academy has a [Python track](http://www.codecademy.com/tracks/python)
-  for people completely new to programming.
-
 * [Introduction to Programming with Python](http://opentechschool.github.io/python-beginners/en/index.html)
   goes over the basic syntax and control structures in Python. The free book 
   has numerous code examples to go along with each topic.
diff --git a/content/pages/03-data/18-data-visualization.markdown b/content/pages/03-data/18-data-visualization.markdown
@@ -36,6 +36,11 @@ easier for humans to see patterns, trends and other useful information.
   [pandas](/pandas.html) and [Matplotlib](/matplotlib.html) that is
   similar to [FiveThirtyEight](https://fivethirtyeight.com/)'s plots.
 
+* [Intro to pdvega - Plotting for Pandas using Vega-Lite](http://pbpython.com/pdvega.html)
+  shows how to generate plots from your 
+  [pandas](/pandas.html)-structured data using 
+  [pdvega](https://github.com/altair-viz/pdvega).
+
 
 ### Beautiful example visualizations
 Sometimes you need inspiration from other sources to figure out what
diff --git a/content/pages/06-devops/01-monitoring.markdown b/content/pages/06-devops/01-monitoring.markdown
@@ -162,11 +162,6 @@ Incident Management
   has some nice data and graphs on what developers and operations folks use
   in their environments.
 
-* Ryan Frantz wrote a nice post on 
-  [Solving Monitoring](http://ryanfrantz.com/posts/solving-monitoring/)
-  with a new definition of what monitoring means based on today's complex
-  systems and how the practice should evolve going forward.
-
 
 ## Monitoring learning checklist
 1. Review the software-as-a-service and open source monitoring tools below. 
