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fix links shown in pr mattmakai#171
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content/pages/01-introduction/07-companies.markdown

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[create reliable, scalable enterprise applications](/enterprise-python.html).
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## Large tech companies
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### Large tech companies
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* [Uber's tech stack](https://eng.uber.com/tech-stack-part-one/) contains
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a significant amount of Python, which they documented in a series of
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engineering posts. Part one describes the lower backend levels, which are
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### Government agencies
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Python usage in government agencies is widespread despite the reputation of
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agencies as stodgy late technology adopters. Organizations range from
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financial industry regulators like the SEC and CFPB, to intelligence agencies
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like the CIA, FBI and NSA.
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* The [Consumer Financial Protection Bureau (CFPB)](https://github.com/cfpb)
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not only uses Python for running most of their applications but also open
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sources many of those Python projects for other agencies (or any
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tools. They even published their own Python code conventions
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documentation due to how many developers at the agency are using the
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language.
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* The
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[SEC uses Python and proposes organizations use Python to comply with regulations](http://jsdelfino.blogspot.com/2010/05/security-exchange-commission-python.html).
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* A quick search for government jobs that require or recommend Python
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[via USAJobs](https://sec.usajobs.gov/Search/?k=python&p=1)
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turns up numerous listings at organizations such as the Smithsonian
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Institution, Department of Education, Department of the Navy and
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National Institute of Standards and Technology (NIST).
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content/pages/01-introduction/10-best-python-podcasts.markdown

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science podcast that often covers Python libraries and other areas of
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interest to people using Python to analyze [data](/data.html).
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* [Data Skeptic](https://dataskeptic.com/) covers data science, statistics,
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machine learning, artificial intelligence and "scientific skepticism".
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* [Data Skeptic](https://www.dataskeptic.com/) covers data science,
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statistics, machine learning, artificial intelligence and "scientific
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skepticism".
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* [Data stories](http://datastori.es/) is a podcast on data visualization.
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content/pages/04-web-development/13-mako.markdown

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* [Configuration Templates with Python and Mako](https://codingnetworker.com/2016/01/configuration-templates-python-mako/)
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shows some basic situations for how to use Mako in an example project.
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* The
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[Pylons' project documentation on templates](http://pylonsbook.com/en/1.1/using-view-templates.html)
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provides many examples for using Mako, which is the default template
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language for the Pylons [web framework](/web-frameworks.html).
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* [Flask-Mako](https://pythonhosted.org/Flask-Mako/) is a [Flask](/flask.html)
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extension that makes it easier to use Mako as the template engine in your
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Flask web app projects.

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