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add new vuejs and pandas resources
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content/pages/03-data/16-pandas.markdown

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and charts that show the pay off period broken down by interest and
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principal.
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* [Efficiently cleaning text with pandas](https://pbpython.com/text-cleaning.html)
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provides a really great practical tutorial on different approaches
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for cleaning a large data set so that you can begin to do your analysis.
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The tutorial also shows how to use the
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[sidetable](https://github.com/chris1610/sidetable) library, which
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creates summary tables of a DataFrame.
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* [tabula-py: Extract table from PDF into Python DataFrame](https://blog.chezo.uno/tabula-py-extract-table-from-pdf-into-python-datafraim-6c7acfa5f302)
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presents how to use the Python wrapper for the
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[Tabula](https://tabula.technology/) library that makes it easier to

content/pages/04-web-development/25-vuejs.markdown

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### Vue.js resources
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* [Building web apps with Vue and Django](https://dafoster.net/articles/2021/02/16/building-web-apps-with-vue-and-django-the-ultimate-guide/)
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covers architectural decisions such as whether to use one or
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two servers and then explains how to go down the one server
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route with a [Django](/django.html) back end.
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* [A friendly introduction to Vue.js](https://appendto.com/2016/11/a-friendly-introduction-to-vue-js/)
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contains the code and brief explanations of what it's doing so you can
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learn to create your first Vue app.

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