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new bash, mongodb and jupyter notebook resources
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content/pages/02-development-environments/06-jupyter-notebook.markdown

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* [Creating Presentations with Jupyter Notebook](http://www.blog.pythonlibrary.org/2018/09/25/creating-presentations-with-jupyter-notebook/)
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shows how to make slides out of your cells so you can present your
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work like a traditional presentation.
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* The number of open source Jupyter Notebooks on GitHub is exploding and
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[this post attempts to estimate the growth](https://kyso.io/KyleOS/nbestimate)
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using Python, [pandas](/pandas.html) and a scraped data set.

content/pages/02-development-environments/08-bash-shell.markdown

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command. There is also a great follow up post called
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[Ten MORE Things I Wish I'd Known About Bash](https://zwischenzugs.com/2018/01/21/ten-more-things-i-wish-id-known-about-bash/)
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that covers new topics such as on-the-fly command re-execution using the
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carrot character.
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carrot character. The
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[Seven Surprising Bash Variables](https://zwischenzugs.com/2019/05/11/seven-surprising-bash-variables/)
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post continues the series by examining built-in variables such as
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`PROMPT_COMMAND`, `CDPATH` and `REPLY` which can simplify your
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scripts by using values that Bash already has stored for you.
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* Google's [Shell Style Guide](https://google.github.io/styleguide/shell.xml)
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covers how to write consistent, maintainable shell scripts, which is

content/pages/03-data/12-mongodb.markdown

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part of the series shows how to set up the
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[development environment](/development-environments.html) required
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for working with Mongo.
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* [Testing MongoDB Failover in Your Python App](https://scalegrid.io/blog/pymongo-tutorial-testing-mongodb-failover-in-your-python-app/)
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shows show to switch to a MongoDB replica in production failure scenarios
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using the PyMongo library.
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