Merge pull request mattmakai#210 from huangsam/task/bad-links-052719

mattmakai · web-flow · commit f831f6a27b97 · 2019-05-28T10:22:08.000-04:00
Remove bad links from content via check_urls
diff --git a/content/pages/01-introduction/04-python-2-or-3.markdown b/content/pages/01-introduction/04-python-2-or-3.markdown
@@ -75,10 +75,6 @@ gone through the process and have advice for making it less painful.
   implementations. There is also a 
   [quick reference for writting code with Python 2 and 3 compatibility](https://wiki.python.org/moin/PortingToPy3k/BilingualQuickRef).
 
-* [Django and Python 3 How to Setup pyenv for Multiple Pythons](https://godjango.com/96-django-and-python-3-how-to-setup-pyenv-for-multiple-pythons/)
-  is a screencast showing how to run both Python 2 and 3 for different
-  projects using pyenv.
-
 * [Upgrading to Python 3 with Zero Downtime](https://tech.yplanapp.com/2016/08/24/upgrading-to-python-3-with-zero-downtime/)
   supplies advice on transitioning a large existing Python 2 web application 
   to Python 3. Their process involved upgrading dependencies, testing and
diff --git a/content/pages/04-web-development/27-task-queues.markdown b/content/pages/04-web-development/27-task-queues.markdown
@@ -184,10 +184,6 @@ when scaling out a large deployment of distributed task queues.
   are things to keep in mind when you're new to the Celery task queue
   implementation.
 
-* [Deferred Tasks and Scheduled Jobs with Celery 3.1, Django 1.7 and Redis](https://godjango.com/63-deferred-tasks-and-scheduled-jobs-with-celery-31-django-17-and-redis/)
-  is a video along with code that shows how to set up Celery with Redis as the
-  broker in a Django application.
-
 * [Setting up an asynchronous task queue for Django using Celery and Redis](http://michal.karzynski.pl/blog/2014/05/18/setting-up-an-asynchronous-task-queue-for-django-using-celery-redis/)
   is a straightforward tutorial for setting up the Celery task queue for
   Django web applications using the Redis broker on the back end.
diff --git a/content/pages/04-web-development/45-microservices.markdown b/content/pages/04-web-development/45-microservices.markdown
@@ -124,7 +124,3 @@ ease further development and deployment. This approach is called the
 * [The Hardest Part About Microservices: Your Data](http://blog.christianposta.com/microservices/the-hardest-part-about-microservices-data/)
   presents a data-centric view on how to structure and transport data
   in a microservices architecture.
-
-* [Making microservices more resilient with circuit breakers](https://blog.buoyant.io/2017/01/13/making-microservices-more-resilient-with-circuit-breaking/)
-  provides a solid idea for how to handle issues with microservices so the
-  problems are less likely to cascade through your entire infrastructure.
diff --git a/content/pages/06-devops/18-web-analytics.markdown b/content/pages/06-devops/18-web-analytics.markdown
@@ -77,10 +77,6 @@ application before taking some action, such as purchasing your service.
   is a detailed walkthrough for collecting and analyzing webpage
   analytics with your own Flask app.
 
-* [Pandas and Google Analytics](http://blog.yhathq.com/posts/pandas-google-analytics.html)
-  shows how to use pandas for data analysis with Google Analytics' API to
-  perform calculations not available in the tool itself.
-
 * [Build a Google Analytics Slack Bot with Python](https://www.twilio.com/blog/2018/03/google-analytics-slack-bot-python.html)
   explains how to connect the Google Analytics API to a [Slack](/slack.html) 
   bot, with all the code in Python, so you can query for Google Analytics 
