Python for Earth Science Students¶
To look at these lectures interactively, go to:
https://mybinder.org/v2/gh/ltauxe/Python-for-Earth-Science-Students/master
- Learn to find your command line interface.
- Learn how to launch a Jupyter notebook from the command line interface
- Learn basic notebook anatomy.
- Learn some basic python operating system commands
- Learn about the concept of PATH
- Turn in your first practice problem notebook.
- Learn about variables
- Learn about operations
- Learn more about another useful data structure, dictionaries and some of their methods
- Introduce special Python code blocks
- Learn about "for" loops, "while" loops and "if" blocks
- Learn about functions
- Discover the joys of modules
- get a first peek at the very useful Python packages called NumPy and matplotlib
- Learn more about NumPy and matplotlib
- Learn more about NumPy arrays.
- more about matplotlib: adding notes and saving images
- about DataFrames and Series, two new data structures, that are part of the Pandas package
- some basic filtering tricks with Pandas
- how to read in and save data files with Pandas
- Learn how to filter data with Pandas
- Write a program to calculate the great circle distances between two known points.
- Learn how to generate formatted strings for output.
- Learn about "object oriented programming" (OOP)
- Learn how to create a "class"
- Learn more about namespaces
- Learn more about copies
- Learn about lambda functions
- How to use map( ), filter( ), and reduce( )
- Explore the joys of List, Set and dictionary comprehension
- Tricks with pandas
- Filtering
- concatentating and merging dataframes
- Learn a few more Pandas tricks
- Learn how to make more complicated plots with matplotlib
- Learn about the composition of the sun, solar system and Earth.
- Learn about exceptions in python
- Learn how to plot histograms and cumulative distributions
- Learn how to get lists of random numbers
- Learn about the topography of the Earth (hypsometric curve)
- Learn some basic statisics - samples versus populations and empirical versus theorectical distributions.
- Learn to calculate central tendencies, spreads.
- Learn about significant figures and more about formatting output.
- Learn some useful functions in NumPy and SciPy for simulating distributions and calculating statistics.
- Learn how to deal with bivariate data (fitting lines, curves).
- Apply line fitting to determine the age of the Universe. Cool.
- Learn how to use the seaborn package to produce beautiful plots
- Learn about kernel density estimates
- Learn appropriate ways of representing different types of data
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)
- start to make some basic maps using Cartopy. Yippee (we love maps).
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)
- Learn about gridding and contouring with cartopy
- Learn about geoplot and geopandas
- Learn a bit about coordinate systems (UTM versus WGS84, as examples)
- Learn something about Hawaiian volcanism
- We will work with directional data using rose diagrams and stereonets
- Learn some useful tricks about matrix math.
- Learn how to plot great and small circles on an equal area net and map projections.
- Find out about Machine Learning
- Learn about using the scikit-learn python package for clustering analysis.
- Apply clustering analysis to Earth Science problems
- Learn how to use satellite imagery to understand land usage.
- Learn how to use patches in matplotlib.
- Learn about using the scikit-learn python package to classify data.
- Learn about 3D plots of points and surfaces
- Show some examples with subduction zone earthquakes and isotopic systems
- Take a look at data with respect to time (time series)
- Learn a bit about time series analysis.
- Learn how to make and display animated gifs