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lectures/about_py.md

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* [Netflix](https://www.netflix.com/)
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* [Meta](https://opensource.fb.com/)
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* [Dropbox](https://www.dropbox.com/)
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* [Amazon](https://www.amazon.com/)
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* [Reddit](https://www.reddit.com/)
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For reasons we will discuss, Python is particularly popular within the scientific community and behind many scientific achievements in
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This section briefly showcases some examples of Python for scientific programming.
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* All of these topics will be covered in detail later on.
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* All of these topics below will be covered in detail later on.
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### Numerical Programming
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```{index} single: lifelines
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```
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* [lifelines](https://lifelines.readthedocs.io/en/latest/) --- for Survival analysis
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* [lifelines](https://lifelines.readthedocs.io/en/latest/) --- for survival analysis
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```{index} single: GeoPandas
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```
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```
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* [Anaconda Enterprise](https://www.anaconda.com/enterprise/)
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```{index} single: cloud computing; amazon ec2
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```{index} single: cloud computing; AWS
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```
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* [Amazon Elastic Compute Cloud](http://aws.amazon.com/ec2/)
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* [Amazon Web Services](https://aws.amazon.com/developer/language/python/?nc1=f_dr)
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```{index} single: cloud computing; Google Cloud
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```
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* [Google App Engine](https://cloud.google.com/appengine/) (PaaS) and [Google Compute Engine](https://cloud.google.com/compute/) (IaaS)
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* [Google Cloud](https://cloud.google.com/)
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```{index} single: cloud computing; digital ocean
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```
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```{index} single: scientific programming; BeautifulSoup
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```
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* [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) --- process online data from HTML and XML files.
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* [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) --- extract data from HTML and XML files.
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```{index} single: scientific programming; PyInstaller
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```
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* [PyInstaller](https://pyinstaller.org/en/stable/) --- create packaged app from python script.
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## Learn More
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* Browse some Python projects on [GitHub](https://github.com/trending?l=python).
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* Read more about [Python's history and rise in popularity](https://www.welcometothejungle.com/en/articles/btc-python-popular) .
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* Read more about [Python's history and rise in popularity](https://www.welcometothejungle.com/en/articles/btc-python-popular) and [version history](https://www.python.org/doc/versions/).
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* Have a look at [some of the Jupyter notebooks](http://nbviewer.jupyter.org/) people have shared on various scientific topics.
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```{index} single: Python; PyPI

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