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+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: 28cc94bac9d8278c40aef73977aaf6dd
+tags: 645f666f9bcd5a90fca523b33c5a78b7
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diff --git a/_sources/01-python/basics.md b/_sources/01-python/basics.md
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+# Python Basics
+
+The following references give helpful introductions to python:
+
+* The [official python tutorial](http://docs.python.org/3/tutorial/)
+
+* The [software carpentry python lessons](https://swcarpentry.github.io/python-novice-inflammation/)
+
+
+## Practicing
+
+Some resources for practicing on your own:
+
+* [Code Academy python rack](http://www.codecademy.com/tracks/python): 
+  step-by-step tutorial through the basics of the language
+
+* [Project Euler](https://projecteuler.net/):
+  a set of increasingly complex programming tasks to try out with
+  python
+
+
+## Online books:
+
+* [Think python](http://www.greenteapress.com/thinkpython/)
+
+* [Dive into Python](http://www.diveintopython.net/)
+
+* [SciPy Lecture Notes](http://scipy-lectures.github.io/)
+
+* [Google's python class](https://developers.google.com/edu/python/)
+
+* more resources can be found at: http://pythonbooks.revolunet.com/
+
+
+## Domain-specific libraries
+
+* Astronomy: [AstroPy](http://astropy.org)
+
+* Atmospheric sciences: [PyAOS](http://pyaos.johnny-lin.com/)
+
+* Biology: [Biopython](http://biopython.org/)
+
+* Ocean and marine sciences: [OceanPython](http://oceanpython.org/)
+
+* Psychology resources: [PyschoPy](http://www.psychopy.org/)
+
+* Quantum physics: [QuTiP](http://qutip.org/)
+
+* Solar physics: [SunPy](http://sunpy.org/)
+
+
diff --git a/_sources/01-python/functions-classes.md b/_sources/01-python/functions-classes.md
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+# Functions and Classes
+
+Functions and classes are the building blocks of complex programs.
+These allow you to organize your code into logical units that can
+reused.
diff --git a/_sources/01-python/installing.md b/_sources/01-python/installing.md
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+# Introduction
+
+This class will introduce the basics of the python programming
+language and the libraries used for scientific computing.
+
+
+## Getting python
+
+You will want to install python and the associated libraries on your
+laptop that you can bring to the seminar.
+
+On Linux machines, you probably already have python and you can get
+the needed libraries through your system package manager.
+
+For Mac and Windows, I recommend the free Anaconda distribution:
+
+https://www.anaconda.com/products/individual
+
+This will install everything that you need.
+
+If you have trouble getting a local install working, most of the class
+material will work automatically in the cloud, either on
+[binder](https://mybinder.org/) or [google
+colab](https://research.google.com/colaboratory/).
+
+If you have python successfully installed, you should be able to start
+the python interpreter at the command line as: `python`.  A shell will
+come up, and you can try out your first program:
+
+```
+print("hello, world")
+```
+
+
+## Following along in class
+
+All of the class notes are hosted as Jupyter notebooks on github:
+
+https://github.com/sbu-python-class/python-science
+
+these are rendered by [Jupyter
+book](https://jupyterbook.org/intro.html) into a webpage that allows
+you to see the rendered notebooks as well as launch the notebooks in
+the cloud:
+
+http://sbu-python-class.github.io/python-science/Introduction.html
+
+````{note}
+Some notebooks use [MyST Markdown](https://jupyterbook.org/en/stable/content/myst.html) to 
+allow for more styling.  To see these styles, you need to install `jupyterlab-myst`, which
+can be done via:
+```
+pip install jupyterlab_myst
+```
+
+````
+
diff --git a/_sources/01-python/misc.md b/_sources/01-python/misc.md
@@ -0,0 +1,5 @@
+# Miscellaneous
+
+There are a lot of topics that we didn't cover, as well as a lot of
+the python standard library that we won't address.  Here we introduce
+a few more concepts.