Educational Code Examples for Getting Used to Python3
: Numpy, Matplotlib, Cartopy, etc. for Earth Science Students and Researchers
For most systems of Windows, Mac OSX, Linux, "Conda" is recommended.
Full version: ANACONDA
Custom version: Miniconda
(Most Linux systems may have python pre-installed; then "pip" command can manage package installation/update)
(Test: type "python" or "python3" in the command window)
Current version for code testing (recommended minimum version)
python: 3.8.10 (3.5+)
matplotlib: 3.4.2 (3.3+)
cartopy: 0.19 (0.18+)
numpy: 1.20 (1.17+)
scipy: 1.6.3 (1.4+)
To check the version, type the command "conda list" (for conda system) or "pip list"
For conda system, search keywords, "cond install cartopy" (or any other package name). Then, it leads to https://anaconda.org/conda-forge/cartopy where the command is shown as "conda install -c conda-forge cartopy"
For custom installation, use command "pip" (or pip3); e.g., "pip install cartopy"
For conda system, type "conda update <package_name>"
- For Anaconda system, type "conda update all" for updating all available packages/modules
For systems working with pip, type "pip install <package_name> --upgrade"
If your computer already had Anaconda, and it is not going to update cartopy to 0.18+, the conda needs to be removed and re-installed with the newest download.
import sys
import numpy as np
import os
import glob
from subprocess import run
from pyhdf.SD import SD, SDC
import h5py
from netCDF4 import Dataset
import matplotlib
import cartopy
import scipy
from sklearn import linear_model
import statsmodels
### Optionally,
import xarray
- Level 0
- A. Basic_Python
- Level 1
- C. Basic_Numpy
- M. Matplotlib_Basic_Setup
- N. Matplotlib_Basic_Plus
- Optionally, B. Python_replacing_shell_script
- Level 2
- D. Read_Write_Text+Binary_file
- E. Read_Write_NetCDF+HDF_file
- F. Datetime_and_Time_Series
- O. Matplotlib_Application+Cartopy
- Level 3
- V. Various_Analysis_Methods
