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clean up all broken links
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‎content/pages/09-data/03-postgresql.markdown‎

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@@ -196,9 +196,6 @@ The post is an inside look at the evolution of Braintree's usage of the database
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provides a fascinating look into the internal workings of PostgreSQL
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during a query.
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* If you're just getting started with PostgreSQL here are
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[10 beginner tasks you should know how to execute](https://eye.raze.mx/10-beginner-postgresql-tasks-you-should-know/).
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* [Locating the recovery point just before a dropped table](https://blog.hagander.net/locating-the-recovery-point-just-before-a-dropped-table-230/)
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and
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[logging transactions that dropped tables](https://blog.hagander.net/logging-transactions-that-dropped-tables-236/)
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recovery points while the second post shows how to put logging in place
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to assist in future recoveries.
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* The title's a bit presumptuous but here's a useful list of
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[7 PostgreSQL data migration hacks you should be using, but aren't](http://engineering.tilt.com/7-postgresql-data-migration-hacks/).
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* [awesome-postgres](https://github.com/dhamaniasad/awesome-postgres)
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is a list of code libraries, tutorials and newsletters focused
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specifically on PostgreSQL.
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explains how to store and query JSON data, similar to how
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[NoSQL data stores](/no-sql-datastore.html) operate.
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* [PostgreSQL Indexes: First Principles](http://eftimov.net/postgresql-indexes-first-principles)
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is a detailed look at what indexes are, what they are good for and
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how to use them in PostgreSQL.
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* This [slideshow on high availability for web applications](http://thebuild.com/presentations/pgha-fosdem-2016.pdf)
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has a good overview of various database setups common in production
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web applications.

‎content/pages/09-data/04-mysql.markdown‎

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a Python 3 web application with MySQL as a backend. Here is a list of
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drivers along with whether it supports Python 2, 3 or both.
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* [mysqlclient](https://mysqlclient.readthedocs.io/en/latest/) is a fork
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* [mysqlclient](https://pypi.python.org/pypi/mysqlclient) is a fork
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of MySQLdb that supports Python 2 and 3.
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* [MySQL Connector](http://dev.mysql.com/doc/connector-python/en/)
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* [28 Beginner's Tutorials for Learning about MySQL Databases](http://designm.ag/tutorials/28-beginners-tutorials-for-learning-about-mysql-databases/)
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is a curated collection on various introductory MySQL topics.
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* This tutorial shows how to install [MySQL on Ubuntu](http://www.cs.wcupa.edu/rkline/index/mysql-lin.html).
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* [A Basic MySQL Tutorial](https://www.digitalocean.com/community/tutorials/a-basic-mysql-tutorial)
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doesn't have the most original title but it's a good walkthrough of your
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first few steps in MySQL for creating users and working with tables.

‎content/pages/09-data/05-sqlite.markdown‎

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[great design document on the SQLite site](http://sqlite.org/src4/doc/trunk/www/design.wiki)
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that covers many of these principles.
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* [Getting the Most out of Sqlite3 with Python](https://remusao.github.io/posts/2017-10-21-few-tips-sqlite-perf.html)
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has a bunch of useful tips for working with SQLite such as how to use
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the connection object, favoring the `executemany` call instead of `execute`
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for bulk inserts and delaying index creation until bulk inserts are
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completed.
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* [My list of SQLite resources](http://charlesleifer.com/blog/my-list-of-python-and-sqlite-resources/)
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is a nice roundup of useful tools to use with SQLite and tutorials for
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learning more about the database.

‎content/pages/09-data/07-sqlalchemy.markdown‎

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post makes some good points about the quality of SQLAlchemy's
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documentation and what a pleasure it can be to use it in a Python project.
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* [Large web apps in Python: A good architecture](http://nando.oui.com.br/2014/04/01/large_apps_with_sqlalchemy__architecture.html)
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goes into issues that expanding codebases face, such as where to put
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business logic and how to automate database testing. Each of the topics
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in the article are discussed in the context of a recent project the
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author worked on that heavily relied on SQLAlchemy.
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* [SQLAlchemy and Django](https://engineering.betterworks.com/2015/09/03/sqlalchemy-and-django/)
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explains how one development team uses the Django ORM for most of their
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standard queries but relies on SQLAlchemy for really advanced queries.

‎content/pages/09-data/11-pony-orm.markdown‎

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[Pony](https://ponyorm.com/)
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([source code](https://github.com/ponyorm/pony)) is
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a Python
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[object-relational mapper (ORM) library](/object-relational-mapper-orms.html)
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[object-relational mapper (ORM) library](/object-relational-mappers-orms.html)
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([database module source code](https://github.com/django/django/tree/master/django/db)).
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Pony can be used to interact and manipulate data in
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[relational databases](/databases.html), including

‎content/pages/09-data/13-redis.markdown‎

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[cracks its security](http://www.antirez.com/news/96) to show the tradeoffs
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purposely made between ease of use and security in the default settings.
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* [Is your Redis server safe?](https://www.isredisallsafe.com/) is a tool
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to test that your Redis instances are locked down. The tool is based on
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the blog post
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[a few things about Redis security](http://www.antirez.com/news/96).
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* [For God’s sake, secure your Mongo/Redis/etc!](https://medium.com/@shahinism/for-gods-sake-secure-your-mongo-redis-etc-4f310cf1bed2)
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digs into the unfortunate default security settings that come with many
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NoSQL databases which can be used to compromise your systems. Make sure

‎content/pages/09-data/23-bokeh.markdown‎

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* [Bokeh Applications](https://demo.bokehplots.com/) hosts numerous
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data visualizations built with Bokeh.
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* [bokeh-notebooks](https://github.com/bokeh/bokeh-notebooks/tree/master/gallery)
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has a nice collection of Bokeh visualizations within
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[Jupyter Noteboks](/jupyter-notebook.html).
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### Bokeh resources
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Bokeh is under heavy development ahead of the upcoming 1.0 release. Note that

‎content/pages/10-web-apis/08-api-creation.markdown‎

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has their recommendations list for building an API based on their recent
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experiences.
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* [Some REST Best Practices](https://bourgeois.me/rest/) is a high level
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summary of rules to follow while creating your API.
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* Hacker News had a discussion on
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[what's the best way to write an API spec?](https://news.ycombinator.com/item?id=8912897)
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that provides a few different viewpoints on this topic.

‎content/pages/12-meta/01-change-log.markdown‎

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## 2017
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### December
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* Cleaned up broken and redirected links in first chapter.
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* Cleaned up broken and redirected links on all pages including blog posts.
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* Merged [PR#147](https://github.com/mattmakai/fullstackpython.com/pull/147) to
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fix an issue installing [MySQL](/mysql.html) server package.
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* Major performance improvements by reducing all page sizes by 15-20%. Split apart
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Ubuntu 18.04 LTS releases).
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* Crossed the 120k words mark for content, thanks to a slew of new tutorials
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and pages.
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* New [serverless](/serverless-architectures.html) and
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* New [serverless](/serverless.html) and
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[AWS Lambda](/aws-lambda.html) resources.
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* Merged [PR#144](https://github.com/mattmakai/fullstackpython.com/pull/144)
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which fixes an issue with the wrong `psql` command in the blog post on

‎content/posts/160513-bottle-gunicorn-ubuntu-1604.markdown‎

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[3.5.1](https://docs.python.org/3/whatsnew/3.5.html)
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(default in Ubuntu 16.04.2)
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* [Bottle](/bottle.html) web framework version
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[0.13](http://bottlepy.org/docs/0.13/)
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[0.13](http://bottlepy.org/docs/stable/)
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* [Green Unicorn (Gunicorn)](/green-unicorn-gunicorn.html) version
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[19.7.1](http://docs.gunicorn.org/en/stable/news.html)
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