_TableOfContents.ipynb

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    "## Python for Earth Science Students\n",
    "\n",
    "\n",
    "### [Lecture 1](Lecture_01.ipynb)\n",
    "\n",
    "- Learn basic notebook anatomy.\n",
    "- Learn how to launch a Jupyter notebook.\n",
    "- Learn some basic python operating system commands.\n",
    "\n",
    "\n",
    "### [Lecture 2](Lecture_02.ipynb)\n",
    "\n",
    "- Learn about variables.\n",
    "- Learn about operations.\n",
    "\n",
    "\n",
    "### [Lecture 3](Lecture_03.ipynb)\n",
    "\n",
    "- Learn about collections of variables: data structures.\n",
    "- Learn about Python objects.\n",
    "- Learn about methods which allow you to do things to Python objects.\n",
    "\n",
    "\n",
    "### [Lecture 4](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",
    "\n",
    "### [Lecture 5](Lecture_05.ipynb)\n",
    "\n",
    "- Learn about functions.\n",
    "- Discover the joys of modules.\n",
    "\n",
    "\n",
    "### [Lecture 6](Lecture_06.ipynb)\n",
    "\n",
    "- Introduction to the very useful Python packages called **NumPy** and **matplotlib**.\n",
    "\n",
    "\n",
    "### [Lecture 7](Lecture_07.ipynb)\n",
    "\n",
    "- Learn more about **NumPy** and **matplotlib**.\n",
    "- Learn more about **NumPy** arrays.  \n",
    " \n",
    "\n",
    "### [Lecture 8](Lecture_08.ipynb)\n",
    "\n",
    "-  More about **matplotlib**:  adding notes and saving images.\n",
    "-  Learn about DataFrames and Series, two new data structures, that are part of the **Pandas** package. \n",
    "-  Learn some basic filtering tricks with **Pandas**.\n",
    "-  Learn how to read in and save data files with **Pandas**.\n",
    "\n",
    "\n",
    "### [Lecture 9](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",
    "\n",
    "### [Lecture 10](Lecture_10.ipynb)\n",
    "\n",
    "- Learn about object oriented programming (OOP).\n",
    "- Learn how to create a Python `class`.\n",
    "- Learn more about namespaces.\n",
    "- Learn more about copies.\n",
    "\n",
    " \n",
    "### [Lecture 11](Lecture_11.ipynb)\n",
    "\n",
    "- Learn about **lambda** functions.\n",
    "- Explore the joys of `list`, `set` and `dict` (dictionary) comprehension.\n",
    "- Learn about exception handling.\n",
    "\n",
    "\n",
    "### [Lecture 12](Lecture_12.ipynb)\n",
    "\n",
    "- Tricks with **Pandas**.\n",
    "- Filtering.\n",
    "- Concatentating and merging dataframes.\n",
    "\n",
    "\n",
    "### [Lecture 13](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",
    "\n",
    "\n",
    "### [Lecture 14](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",
    "\n",
    "### [Lecture 15](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",
    "\n",
    "### [Lecture 16](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.\n",
    "\n",
    "\n",
    "### [Lecture 17](Lecture_17.ipynb)\n",
    "\n",
    "- Start to make some basic maps using **CartoPy**.  \n",
    "\n",
    "\n",
    "### [Lecture 18](Lecture_18.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 19](Lecture_19.ipynb)\n",
    "\n",
    "- We will work with directional data using rose diagrams and stereonets\n",
    "\n",
    "\n",
    "### [Lecture 20](Lecture_20.ipynb)\n",
    "\n",
    "- Learn some useful tricks about matrix math. \n",
    "\n",
    "\n",
    "### [Lecture 21](Lecture_21.ipynb)\n",
    "\n",
    "- Learn how to plot great and small circles on an equal area net and map projections. \n",
    "\n",
    "\n",
    "### [Lecture 22](Lecture_22.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",
    "\n",
    "### [Lecture 23](Lecture_23.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",
    "### [Lecture 24](Lecture_24.ipynb)\n",
    "\n",
    "- Learn how to perform image compression via singular value decomposition.\n",
    "- Learn about Principal Component Analysis (PCA).\n",
    "\n",
    "### [Lecture 25](Lecture_25.ipynb)\n",
    "\n",
    "- Learn about gridding and contouring with **CartoPy**.\n",
    "\n",
    "\n",
    "### [Lecture 26](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",
    "### [Lecture 27](Lecture_27.ipynb)\n",
    "\n",
    "- Learn how to load NetCDF files.\n",
    "- Learn about analysis techniques you can conduct with a digital elevation model. \n",
    "\n",
    "\n",
    "### [Lecture 28](Lecture_28.ipynb)\n",
    "\n",
    "- Learn about the diffusion equation.\n",
    "- Lean about landscape evolution models.\n",
    "\n",
    "\n",
    "### [Lecture 29](Lecture_29.ipynb)\n",
    "\n",
    "- Learn how to make and display animated gifs."
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