Python training¶
Author¶
Nicolas Barrier, IRD, UMR Marbec (www.nicolasbarrier.fr/)
How to use class materials¶
Download and install Anaconda for Python 3.
Create a Conda environment as follows:
conda create --name python-training
conda activate python-training
When done, open a Terminal and install the libraries:
conda install -c conda-forge -y netCDF4
conda install -c conda-forge -y xarray
conda install -c conda-forge -y dask
conda install -c conda-forge -y pandas
conda install -c conda-forge -y jupytext
conda install -c conda-forge -y jupyter
conda install -c conda-forge -y cartopy
conda install -c conda-forge -y shapefile
conda install -c conda-forge -y eofs
conda install -c conda-forge -y nc-time-axis
conda install -c conda-forge -y python-graphviz
Now, navigate to the folder containing the training sessions and type:
jupyter notebook &
Then open/run/annotate the file at will.
Program¶
Introduction¶
Introduction (introduction/intro.py) (description, applications)
Getting started (introduction/start.py) (install, running)
Installing libraries (introduction/libinstall.py)
Data types¶
Variable definition (data_types/vars.py)
Numerical variables (data_types/numerics.py)
List (data_types/list.py)
Dictionaries (data_types/dict.py)
String (data_types/string.py)
Numpy arrays (data_types/nmp.py) (Scipy, Numpy libraries)
Conditional statements, loops, functions (blocks)¶
Conditional statements (blocks/ifsta.py)
Loops (blocks/loops.py)
Functions (blocks/functions.py)
Graphics (Matplotlib(https://matplotlib.org/))¶
XY (plots/xy.py)
Contours (plots/contours.py)
Geometrical shapes (plots/geometrical_shapes.py)
Panels (plots/panels.py)
Quivers (plots/quivers.py)
Scatter plots (plots/scatters.py)
Text and maths (plots/text.py)
Axes management (plots/axes.py)
Configutation (plots/pyplot_settings.py)
Object oriented programming¶
Class definition (oop/oop.py)
IO¶
Text (io/text.py)
CSV (io/pand.py) (pandas)
NetCDF (io/xar.py) (xarray)
Maps¶
Cartopy (maps/carto.py)
PyNGL (maps/pyngl.py)