SVG is arguably going to be the main image format of the modern web. I recently wrote an article for Safari Books Online called SVG Icons for New Devices that covers some of the basics of dealing with SVG. This article covers more the pain points of using SVG in production and as it turns out there are many.
Here's how you link to your amazing vector image.
<img src="/images/logo.svg">
| import os | |
| from flask import Flask, render_template, request | |
| import stripe | |
| stripe_keys = { | |
| 'secret_key': os.environ['SECRET_KEY'], | |
| 'publishable_key': os.environ['PUBLISHABLE_KEY'] | |
| } | |
| stripe.api_key = stripe_keys['secret_key'] |
| # https://github.com/dalejung/trtools/blob/master/trtools/rpy/conversion.py | |
| import sys, copy, os, itertools | |
| import rpy2.robjects as robjects | |
| import rpy2.rinterface as rinterface | |
| from rpy2.robjects.vectors import SexpVector, ListVector | |
| from rpy2.robjects.robject import RObjectMixin, RObject | |
| import rpy2.robjects as robj | |
| import numpy as np | |
| import pandas.rpy.common as rcom |
| # -*- coding: utf-8 -*- | |
| """ | |
| LICENSE: BSD (same as pandas) | |
| example use of pandas with oracle mysql postgresql sqlite | |
| - updated 9/18/2012 with better column name handling; couple of bug fixes. | |
| - used ~20 times for various ETL jobs. Mostly MySQL, but some Oracle. | |
| to do: | |
| save/restore index (how to check table existence? just do select count(*)?), | |
| finish odbc, |
| Latency Comparison Numbers (~2012) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
| // Given a query string "?to=email&why=because&first=John&Last=smith" | |
| // getUrlVar("to") will return "email" | |
| // getUrlVar("last") will return "smith" | |
| // Slightly more concise and improved version based on http://www.jquery4u.com/snippets/url-parameters-jquery/ | |
| function getUrlVar(key){ | |
| var result = new RegExp(key + "=([^&]*)", "i").exec(window.location.search); | |
| return result && unescape(result[1]) || ""; | |
| } |
| # http://flask.pocoo.org/mailinglist/archive/2012/4/10/serving-static-file-from-a-separate-domain-in-production/ | |
| from flask import Flask, url_for | |
| # Uncomment to set server name. | |
| # SERVER_NAME = 'mianos.com' | |
| app = Flask(__name__, static_folder=None) | |
| app.config.from_object(__name__) | |
| app.add_url_rule('/<path:filename>', endpoint='static', |
| """ | |
| Non-Negative Garotte implementation with the scikit-learn | |
| """ | |
| # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr> | |
| # Jaques Grobler (__main__ script) <jaques.grobler@inria.fr> | |
| # | |
| # License: BSD Style. | |
| import numpy as np |
| .leaflet-div-icon { | |
| background: transparent; | |
| border: none; | |
| } | |
| .leaflet-marker-icon .number{ | |
| position: relative; | |
| top: -37px; | |
| font-size: 12px; | |
| width: 25px; |
| """Example of adaptive Lasso to produce event sparser solutions | |
| Adaptive lasso consists in computing many Lasso with feature | |
| reweighting. It's also known as iterated L1. | |
| """ | |
| # Authors: Alexandre Gramfort <firstname.lastname@inria.fr> | |
| # | |
| # License: BSD (3-clause) | |
| import numpy as np |
