| # coding=utf-8 | |
| import datetime | |
| from dateutil.parser import parse | |
| # From http://www.huffingtonpost.com/2013/01/01/religious-holidays-2013_n_2372650.html | |
| raw_holidays = """ | |
| Baha'i Holidays 2013: | |
| Jan 20 - World Religion Day | |
| Mar 2-20 - Baha'i Fast | |
| Mar 20 - Nowruz (Baha'i, Zoroastrian, Iranian New Year) |
This is a non-technical reading list for technical people.
This is a list of software you should read like a novel.
People
 :bowtie: |
😄 :smile: |
😆 :laughing: |
|---|---|---|
😊 :blush: |
😃 :smiley: |
:relaxed: |
😏 :smirk: |
😍 :heart_eyes: |
😘 :kissing_heart: |
😚 :kissing_closed_eyes: |
😳 :flushed: |
😌 :relieved: |
😆 :satisfied: |
😁 :grin: |
😉 :wink: |
😜 :stuck_out_tongue_winking_eye: |
😝 :stuck_out_tongue_closed_eyes: |
😀 :grinning: |
😗 :kissing: |
😙 :kissing_smiling_eyes: |
😛 :stuck_out_tongue: |
| [rack] pug:devsite jesse$ time nova boot trash2 --key-name "my_key" --flavor performance1-1 --image dee7f62b-cbb1-4fdc-8dc5-33e408d8c599 --poll | |
| +------------------------+--------------------------------------------------+ | |
| | Property | Value | | |
| +------------------------+--------------------------------------------------+ | |
| | status | BUILD | | |
| | updated | 2013-11-08T01:09:40Z | | |
| | OS-EXT-STS:task_state | scheduling | | |
| | key_name | my_key | | |
| | image | Ubuntu 13.04 (Raring Ringtail) (Beta PVHVM Mode) | | |
| | hostId | | |
| var vv = window, | |
| w = vv.innerWidth, | |
| h = vv.innerHeight; | |
| var svg = d3.select("#animviz") | |
| .append("svg") | |
| .attr("width", w) | |
| .attr("height", h); | |
| svg.append("g").attr("class", "links"); |
This is my default career advice for people starting out in geo/GIS, especially remote sensing, adapted from a response to a letter in 2013.
I'm currently about to start a Geography degree at the University of [Redacted] at [Redacted] with a focus in GIS, and I've been finding that I have an interest in working with imagery. Obviously I should take Remote Sensing and other similar classes, but I'm the type of person who likes to self learn as well. So my question is this: What recommendations would you give to a student who is interested in working with imagery? Are there any self study paths that you could recommend?
I learned on my own and on the job, and there are a lot of important topics in GIS that I don’t know anything about, so I can’t give comprehensive advice. I haven’t arrived anywhere; I’m just ten minutes ahead in the convoy we’re both in. Take these recommendations critically.
Find interesting people. You’ll learn a lot more from a great professor (or mentor, or friend, or conference) o
| #!/bin/python | |
| import os | |
| from flask import Flask, Response, request, abort, render_template_string, send_from_directory | |
| import Image | |
| import StringIO | |
| app = Flask(__name__) | |
| WIDTH = 1000 |
| # Nova Client Settings | |
| OS_AUTH_URL=https://identity.api.rackspacecloud.com/v2.0/ | |
| OS_VERSION=2.0 | |
| OS_AUTH_SYSTEM=rackspace | |
| OS_REGION_NAME=IAD | |
| OS_SERVICE_NAME=cloudserversOpenStack | |
| OS_TENANT_NAME=<TENANT_ID> | |
| OS_NO_CACHE=1 | |
| OS_USERNAME=<USERNAME> | |
| OS_PASSWORD=<API_KEY> |
| import pkg_resources, pprint | |
| requires = {p.key: [r.key for r in p.requires()] for p in pkg_resources.working_set} | |
| def graph(pkg): | |
| if not requires[pkg]: | |
| return {pkg: {}} | |
| return {pkg: {k: v for p in requires[pkg] for k, v in graph(p).items() }} |
| #!/usr/bin/env python | |
| from collections import OrderedDict | |
| import json | |
| write_data = OrderedDict([ | |
| ('a', '1'), | |
| ('b', '2'), | |
| ('c', '3') | |
| ]) |
