Genevieve Buckley GenevieveBuckley

Libraries for a modern geospatial workflow

Distribution

Numpy

Desktop

UI Automation. Desktop. Python

GUI toolkit agnostic

autopy - simple, cross-platform GUI automation toolkit. MIT - https://github.com/msanders/autopy/

432 stars, 102 forks, 2950 monthly downloads at 2015-05-13
GUI toolkit agnostic

1. Create new branch:

git checkout -b otherrepo-master master

2. Get the contents of the PR

git pull https://github.com/otherrepo/my-repo-name.git master

Auto-deploying built products to gh-pages with GitHub Actions

This is a set up for projects which want to check in only their source files, but have their gh-pages branch automatically updated with some compiled output every time they push.

A file below this one contains the steps for doing this with Travis CI. However, these days I recommend GitHub Actions, for the following reasons:

It is much easier and requires less steps, because you are already authenticated with GitHub, so you don't need to share secret keys across services like you do when coordinate Travis CI and GitHub.
It is free, with no quotas.
Anecdotally, builds are much faster with GitHub Actions than with Travis CI, especially in terms of time spent waiting for a builder.

A list of some other badges: http://shields.io/

Version Numbers

Alt Text	Image Src	Link
NPM version	https://badge.fury.io/{{programming_language:js}}/{{project_name}}.svg	http://badge.fury.io/{{programming_language:js}}/{{project_name}}
Dependency Status	https://david-dm.org/{{username}}/{{project_name}}.svg	https://david-dm.org/{{username}}/{{project_name}}
devDependency Status	https://david-dm.org/{{username}}/{{project_name}}/dev-status.svg	https://david-dm.org/{{username}}/{{project_name}}#info=devDependencies
GEM Dependency Status	https://gemnasium.com/{{username}}/{{repo}}.png	https://gemnasium.com/{{username}}/{{repo}})

Re-installing Git on Mac OSX with Brew

This is helpful if you've previously installed git from source on OSX, and other compilers can't find the correct path. You need to remove the current version of git, then re-install with brew.

Uninstall git if installed manually

Check which git you're running:
```
which git
```

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

	from bokeh.plotting import figure, ColumnDataSource
	from bokeh.models import HoverTool


	def scatter_with_hover(df, x, y,
	fig=None, cols=None, name=None, marker='x',
	fig_width=500, fig_height=500, **kwargs):
	"""
	Plots an interactive scatter plot of `x` vs `y` using bokeh, with automatic
	tooltips showing columns from `df`.

	# -- coding: utf-8 --
	"""Make Mayavi plots inline to ipython notebooks

	Imports mayavi and mlab and adds them to interpreter namespace. Loading
	this extension also sets up inline matplotlib (aka `%matpotlib inline`)
	and sets offscreen rendering on linux.

	Note:
	Offscreen rendering on OS X doesn't seem to work, but on linux,
	inline plots don't work without offscreen rendering. "Don't work"

	# -- coding: utf-8 --

	"""
	This script loads a Brain Tumor DICOM dataset into Glue.
	The data comes from http://www.osirix-viewer.com/datasets/DATA/BRAINIX.zip

	To run this locally, download and unzip that file, and run this script
	from the directory that you dowloaded the ZIP file to

	This requires the dicom library, which you can install via