Inspired by dannyfritz/commit-message-emoji
See also gitmoji.
Commit type | Emoji |
---|---|
Initial commit | 🎉 :tada: |
Version tag | 🔖 :bookmark: |
New feature | ✨ :sparkles: |
Bugfix | 🐛 :bug: |
Inspired by dannyfritz/commit-message-emoji
See also gitmoji.
Commit type | Emoji |
---|---|
Initial commit | 🎉 :tada: |
Version tag | 🔖 :bookmark: |
New feature | ✨ :sparkles: |
Bugfix | 🐛 :bug: |
$ git remote rm origin | |
$ git remote add origin git@github.com:aplikacjainfo/proj1.git | |
$ git config master.remote origin | |
$ git config master.merge refs/heads/master |
""" | |
Data download script for EarthExplorer Machine-to-Machine | |
download_m2m('/path/to/downloads', username='user1234', dataset='ARD_TILE', | |
products='TOA,BT,SR,PQA', threads=40, | |
fields={'Region': 'CU', 'Spacecraft': 'LANDSAT_8'}) | |
More M2M documentation: https://earthexplorer.usgs.gov/inventory/documentation | |
Author: Jake Brinkmann <jacob.brinkmann.ctr@usgs.gov> |
Fardjad Davari
Published on GitHub Gist
In this tutorial, I will be going over to how to deploy a Javascript app from start to finish using AWS and EC2. Recently, my partner Tu and I launched our app AlgoAcademy (a resource for reviewing algorithms and data structures) and we wanted to share with other developers some of the lessons we learned along the way.
Following this tutorial, you will have an application that has:
This project developed several image processing algorithms and manipulation routines for sunkit-image, an affiliated Python package of the Sunpy Project. The rigorous analysis of solar images is of paramount importance to the Heliophysics community as this can reveal more information on solar features and events, which in turn can affect the Earth. This project brought selected solar image processing algorithms under the umbrella of a new library.
There were four major goals as listed on the OpenAstronomy website.
These included: