_TableOfContents.ipynb

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    "## Python for Earth Science Students\n",
    "\n",
    "\n",
    "\n",
    "To look at these lectures interactively, go to:\n",
    "[https://mybinder.org/v2/gh/ltauxe/Python-for-Earth-Science-Students/master](https://mybinder.org/v2/gh/ltauxe/Python-for-Earth-Science-Students/master)\n",
    "\n",
    "\n",
    "### [Lecture 1](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_01.ipynb)\n",
    "\n",
    "\n",
    "- Learn to find your command line interface.\n",
    "- Learn how to launch a Jupyter notebook from the command line interface\n",
    "- Learn basic notebook anatomy.\n",
    "- Learn some basic python operating system commands \n",
    "- Learn about the concept of **PATH**\n",
    "- Turn in your first practice problem notebook.  \n",
    "\n",
    "### [Lecture 2](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_02.ipynb)\n",
    "\n",
    "- Learn  about variables\n",
    "- Learn about operations\n",
    "\n",
    "### [Lecture 3](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_03.ipynb)\n",
    "\n",
    "- Learn about collections of variables: data structures \n",
    "\n",
    "- Learn about _objects_ \n",
    "- Learn about _methods_ which allow you to do things to _objects_\n",
    "\n",
    "### [Lecture 4](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_04.ipynb)\n",
    "\n",
    "- Learn more about another useful data structure, **dictionaries** and some of their **methods**\n",
    "- Introduce special Python code blocks\n",
    "- Learn about \"for\" loops, \"while\" loops and \"if\" blocks\n",
    "\n",
    "### [Lecture 5](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_05.ipynb)\n",
    "\n",
    "- Learn about functions\n",
    "- Discover the joys of modules \n",
    "\n",
    "### [Lecture 6](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_06.ipynb)\n",
    "\n",
    "- get a first peek at the very useful Python packages called **NumPy** and **matplotlib**\n",
    "\n",
    "### [Lecture 7](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_07.ipynb)\n",
    "\n",
    "- Learn more about **NumPy** and **matplotlib**\n",
    "- Learn more about **NumPy** arrays.  \n",
    " \n",
    "\n",
    "### [Lecture 8](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_08.ipynb)\n",
    "\n",
    "-  more about **matplotlib**:  adding notes and saving images\n",
    "-  about DataFrames and Series, two new _data structures_, that are part of the **Pandas** package \n",
    "-  some basic filtering tricks with **Pandas**\n",
    "-  how to read in and save data files with **Pandas**\n",
    "\n",
    "### [Lecture 9](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_09.ipynb)\n",
    "\n",
    "- Learn how to filter data with Pandas\n",
    "- Write a program to calculate the great circle distances between two known points. \n",
    "- Learn how to generate  formatted strings for output.\n",
    "\n",
    "### [Lecture 10](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_10.ipynb)\n",
    "\n",
    "- Learn about \"object oriented programming\" (OOP)\n",
    "- Learn how to create a \"class\"\n",
    "- Learn more about namespaces \n",
    "- Learn more about copies\n",
    "\n",
    " \n",
    "### [Lecture 11](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_11.ipynb)\n",
    "\n",
    "- Learn about **lambda** functions\n",
    "- How to use **map( )**, **filter( )**, and  **reduce( )** \n",
    "- Explore the joys of List, Set and dictionary comprehension\n",
    "\n",
    "\n",
    "### [Lecture 12](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_12.ipynb)\n",
    "\n",
    "- Tricks with pandas\n",
    "- Filtering \n",
    "- concatentating and merging dataframes\n",
    "\n",
    "### [Lecture 13](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_13.ipynb)\n",
    "\n",
    "- Learn a few more Pandas tricks\n",
    "- Learn how to make more complicated plots with **matplotlib**\n",
    "- Learn about the composition of the sun,  solar system and Earth.\n",
    "- Learn about exceptions in python\n",
    "\n",
    "### [Lecture 14](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_14.ipynb)\n",
    "\n",
    "- Learn how to plot  histograms and cumulative distributions\n",
    "- Learn how to get lists of random numbers  \n",
    "- Learn about the topography of the Earth (hypsometric curve)\n",
    "\n",
    "### [Lecture 15](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_15.ipynb)\n",
    "\n",
    "- Learn some basic statisics - samples versus populations and empirical versus theorectical distributions.\n",
    "- Learn to calculate _central tendencies_, _spreads_. \n",
    "- Learn about _significant figures_ and more about formatting output. \n",
    "- Learn some useful functions in **NumPy** and **SciPy** for simulating distributions and calculating statistics.\n",
    "\n",
    "### [Lecture 16](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_16.ipynb)\n",
    "\n",
    "- Learn how to deal with bivariate data (fitting lines, curves).\n",
    "- Apply line fitting to determine the age of the Universe.  Cool.  \n",
    "\n",
    "### [Lecture 17](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_17.ipynb)\n",
    "\n",
    "- Learn how to use the **seaborn** package to produce beautiful plots\n",
    "- Learn about kernel density estimates\n",
    "- Learn appropriate ways of representing different types of data\n",
    "\n",
    "### [Lecture 18](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_18.ipynb)\n",
    "\n",
    "NB:  This lecture may not work properly in the interactive online binder environement. (it requires cartopy==0.17.0  and that is not yet available)\n",
    "\n",
    "- start to make some basic maps using **Cartopy**. Yippee (we love maps).  \n",
    "\n",
    "\n",
    "### [Lecture 19](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_19.ipynb)\n",
    "\n",
    "NB:  This lecture may not work properly in the interactive online binder environement. (it requires cartopy==0.17.0  and that is not yet available)\n",
    "\n",
    "- Learn about gridding and contouring with cartopy\n",
    "\n",
    "\n",
    "### [Lecture 20](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_20.ipynb)\n",
    "\n",
    "- Learn about geoplot and geopandas\n",
    "- Learn a bit about coordinate systems (UTM versus WGS84, as examples)\n",
    "- Learn something about Hawaiian volcanism\n",
    "\n",
    "\n",
    "### [Lecture 21](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_21.ipynb)\n",
    "\n",
    "- We will work with directional data using rose diagrams and stereonets\n",
    "\n",
    "\n",
    "\n",
    "### [Lecture 22](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_22.ipynb)\n",
    "\n",
    "- Learn some useful tricks  about matrix math. \n",
    "\n",
    "\n",
    "### [Lecture 23](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_23.ipynb)\n",
    "\n",
    "- Learn how to plot great and small circles on an equal area net and map projections. \n",
    "\n",
    "\n",
    "\n",
    "### [Lecture 24](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_24.ipynb)\n",
    "\n",
    "- Find out about Machine Learning\n",
    "- Learn about using the **scikit-learn** python package for clustering analysis.\n",
    "- Apply clustering analysis to Earth Science problems\n",
    "\n",
    "### [Lecture 25](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_25.ipynb)\n",
    "\n",
    "- Learn how to use satellite imagery to understand land usage.\n",
    "- Learn how to use patches in matplotlib.\n",
    "- Learn about using the **scikit-learn** python package to classify data.\n",
    "\n",
    "\n",
    "### [Lecture 26](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_26.ipynb)\n",
    "\n",
    "- Learn about 3D plots of points and surfaces\n",
    "- Show some examples with subduction zone earthquakes and isotopic systems\n",
    "\n",
    "\n",
    "\n",
    "### [Lecture 27](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_27.ipynb)\n",
    "\n",
    "\n",
    "- Take a look at data with respect to time (time series)\n",
    "- Learn a bit about time series analysis. \n",
    "\n",
    "### [Lecture 28](https://nbviewer.jupyter.org/github/ltauxe/Python-for-Earth-Science-Students/blob/master/Lecture_28.ipynb)\n",
    "\n",
    "\n",
    "- Learn how to make and display animated gifs\n",
    "\n"
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