[CDAT tutorial] netCDF file reading and saving
Some basic netCDF data reading, creating and saving are covered in this chapter of the CDAT tutorial series.
Category Python Programming
This category is not intended to be a comprehensive tutorial to Python, but a collection of tips, helpful code snippets and some Python projects that I think might be worth sharing.
[CDAT tutorial] Installation
This is the start of a CDAT tutorial series. We will be installing a "lite" version of the CDAT in Linux via conda.
Ramer-Douglas-Peucker (RDP) algorithm in spherical coordinate
The Ramer-Douglas-Peucker (RDP) algorithm is a curve simplification method. To apply it on coordinates defined by latitudes/longitudes, we need to replace the Cartesian geometry with a spherical one.
Use git to sync dotfiles
It is a common practice to use `git` to back-up and sync ones "dotfiles". I also create Python script to help automate this process.
A Python script to report status of local git repositories
A Python script that "scans through" a
collection of local git repositories and generates a report for me.
[Fun with Python] Create spiral art with Python
A toy Python script that converts an image into a spiral curve art.
2D convolution with missing data
The convolution functions in `scipy` do not work well with missing data. We create a 2D convolution function that allows a controllable tolerance to missing values. It is first implemented in Fortran, then using `scipy` in an FFT approach.
Peak prominence
Peak prominence can be used to identify relatively organized regional maxima while filtering out local disturbances.
Cache NetCDF data to disk
In this post we create a *DiskCacher* class that can be used as a
*with* context manager, a function wrapper and as the pie-syntax
decorator. It modifies a given computation function, and tries to use
the cached data if possible, and only do the re-computation if the
cache is not found or the user forces an overwrite.