clean up all detected broken links

mattmakai · mattmakai · commit 3cb38ed72705 · 2019-05-03T07:22:27.000-04:00
diff --git a/content/pages/02-development-environments/06-jupyter-notebook.markdown b/content/pages/02-development-environments/06-jupyter-notebook.markdown
@@ -160,9 +160,9 @@ like advanced interactive visualizations.
   help a lot to make sure you avoid getting lost in the sea of menus along
   the way.
 
-* [A Jupyter Notebook That Will Analyze Cryptocurrency Portfolios For You](http://grantbartel.com/blog/jupyter-notebook-that-will-analyze-cryptocurrency-portfolios/)
-  uses a freely-available large cryptocurrency data set as source material
-  for a data analysis and visualization project.
+* [Analyzing Cryptocurrency Markets using Python](https://blog.patricktriest.com/analyzing-cryptocurrencies-python/)
+  uses a freely-available Bitcoin API as a source data set 
+  for a data analysis and visualization project in Jupyter.
 
 * [Running Jupyter Notebooks on GPU on AWS: a starter guide](https://blog.keras.io/running-jupyter-notebooks-on-gpu-on-aws-a-starter-guide.html)
   explains how to run notebooks on Amazon Web Services using a 
diff --git a/content/pages/02-development-environments/15-application-dependencies.markdown b/content/pages/02-development-environments/15-application-dependencies.markdown
@@ -110,7 +110,7 @@ known as
 [setup.py](http://stackoverflow.com/questions/1471994/what-is-setup-py).
 Setup.py is a standard for distributing and installing Python libraries.
 If you're building a Python library, such as 
-[requests](http://www.python-requests.org/en/latest/) or
+[twilio](https://github.com/twilio/twilio-python) or
 [underwear](https://github.com/mattmakai/underwear) you must include setup.py
 so a dependency manager can correctly install both the library as well as
 additional dependencies for the library. There's still quite a bit of 
diff --git a/content/pages/03-data/19-bokeh.markdown b/content/pages/03-data/19-bokeh.markdown
@@ -40,7 +40,7 @@ these sites:
   [official Bokeh gallery](http://bokeh.pydata.org/en/latest/docs/gallery.html)
   has many example Bokeh visual formats.
 
-* [Bokeh Applications](https://demo.bokehplots.com/) hosts numerous
+* [Bokeh Applications](https://demo.bokeh.org/) hosts numerous
   data visualizations built with Bokeh.
 
 
diff --git a/content/pages/03-data/23-markdown.markdown b/content/pages/03-data/23-markdown.markdown
@@ -69,8 +69,7 @@ or block quotes.
 * The Python Package Index (PyPI) 
   [supports Markdown as of 2018](https://dustingram.com/articles/2018/03/16/markdown-descriptions-on-pypi)
   although there are still some tweaks being made to the flavors that can be
-  used such as 
-  [GitHub-flavored Markdown](http://blog.jonparrott.com/github-flavored-markdown-on-pypi/).
+  used such as GitHub-flavored Markdown.
 
 * [PowerShell and Markdown](https://ephos.github.io/posts/2018-8-1-PowerShell-Markdown)
   shows how to work with Markdown in [PowerShell](/powershell.html) 
diff --git a/content/pages/04-web-development/02-django.markdown b/content/pages/04-web-development/02-django.markdown
@@ -99,9 +99,6 @@ resources for more advanced tutorials.
   such as the [Django ORM](/django-orm.html) and 
   [Django Templates](/django-templates.html).
 
-* [Effective Django](http://effectivedjango.com/) is another free introduction
-  to the web framework.
-
 * The [Django subreddit](http://www.reddit.com/r/django) often has links to
   the latest resources for learning Django and is also a good spot to ask 
   questions about it.
diff --git a/content/pages/04-web-development/11-template-engines.markdown b/content/pages/04-web-development/11-template-engines.markdown
@@ -139,10 +139,6 @@ There are many Python template engine implementations in addition to the
 ones listed above. These resources can help you select a Python template 
 engine implementation that works well for your project.
 
-* [Python Web Templating Battle](https://ivanteoh.com/posts/188-python-web-templating-battle/)
-  compares and contrasts Django templates, Chameleon, Jinja, Diazo
-  and Mako, with examples for each engine.
-
 * This 
   [template engines site](http://www.simple-is-better.org/template/index.html)
   contains a range of information from what templates engines are to listing
diff --git a/content/pages/05-deployment/32-configuration-management.markdown b/content/pages/05-deployment/32-configuration-management.markdown
@@ -86,10 +86,6 @@ from PyCon UK 2013
 
 * [6 practices for super smooth Ansible experience](http://hakunin.com/six-ansible-practices)
 
-* [Shippable + Ansible + Docker + Loggly for awesome deployments](http://www.hiddentao.com/archives/2014/06/03/shippable-ansible-docker-loggly-for-awesome-deployments/)
-  is a well written detailed post about using Docker and Ansible together with
-  a few other pieces.
-
 * [Create a Couchbase Cluster with Ansible](http://blog.couchbase.com/create-couchbase-cluster-with-ansible)
 
 * [Idempotence, convergence, and other silly fancy words we often use](https://groups.google.com/forum/#!msg/Ansible-project/WpRblldA2PQ/lYDpFjBXDlsJ)
diff --git a/content/pages/06-devops/18-web-analytics.markdown b/content/pages/06-devops/18-web-analytics.markdown
@@ -91,10 +91,6 @@ application before taking some action, such as purchasing your service.
   [pandas](/pandas.html) and related [data analysis](/data-analysis.html) 
   tools.
 
-* [Build your own Google Analytics Dashboard in Excel](http://blog.zoomeranalytics.com/google-analytics/)
-  show how to extract your Google Analytics data via their web API and Python
-  helper library so it can be used in other tools such as Excel.
-
 * The official 
   [Google Analytics Python quickstart](https://developers.google.com/analytics/devguides/reporting/core/v4/quickstart/service-py)
   isn't really the easiest tutorial to follow due to all of the configuration
