QR Codes are a really easy way to share information between your desktop or laptop and a smartphone, which don’t have the privacy issues inherent in Google’s Chrome To Phone. The excellent FOSS Barcode Scanner app for Android makes scanning these codes and opening the scanned data a breeze. However, generating them on the desktop can be a bit of a pain. There are several websites, browser addons and APIs for generating these codes, but up until now I haven’t found anything really quick and easy.
That is until today, when I discovered the ‘qrencode’ utility. Qrencode does exactly what it says on the tin. It takes some text, encodes it as a QR Code and writes the result as a PNG file. It’s a simple command line tool, which opens up awesome scripting possibilities.
My use case is simply to send the URL of a web page that I’m viewing on my desktop to my phone, via QR Code. I found that qrencode was quite happy to write its output to stdout, which meant I could display the result directly using ImageMagick’s ‘display’ command, e.g:
You’ll notice that by default the QR Code is quite small. We can fix this by increasing the block size:
Next, I wanted to automatically pull the text to encode from somewhere to save typing – the clipboard was an ideal candidate. Enter ‘xclip’. Xclip is a command line utility to read and write from/to the X system’s built in clipboard. I used bash’s backtick command substitution to grab text from the clipboard and encode it:
And there you have it, a simple one line command to generate and display a QR Code from the contents of the clipboard. I created a bash script containing the command and assigned it to a keyboard shortcut in Gnome (Ctrl-Shift-Q), so that sharing URLs to my phone is as simple as selecting the text in the location bar and hitting Ctrl-C followed by Ctrl-Shift-Q.
If you want to give this a try, you’ll need to install the utilities discussed, in Fedora these can be installed with:
If you read my previous post regarding the site overhaul that I’m currently doing you will have seen me mention that I’m now using the Piwik Open Source Analytics Package in place of Google Analytics. Well I’ve had it running for a few days and have played around with it a bit, so I thought I’d review it. I’m going to start with my reasons for moving from GA and then move along and score it on several different criteria:
As well as the obvious benefit (from a Freedom perspective) of using one less proprietary web service, there is also another reason that I switched away from Google Analytics. Basically, this was privacy. For a while I’ve been using technologies to limit the amount of data which leaks from my browser as I navigate the web, in order to reduce the amount of profiling of my web activities. This isn’t because I have anything to hide. I just don’t like the idea of large companies building up a huge database on me, without my permission. The upshot of this is that I found myself in the slightly hypocritical situation of blocking GA in my own browser, but using it to track others on my site.
The solution was obvious, remove GA from my site. However, I didn’t want to lose the valuable information that it provides me with. Also, I don’t have a problem with site owners collecting data that can help them, just with them sharing it with 3rd parties such as Google, who then build it into their larger profiling efforts. A quick search turned up Piwik which aims to provide a full featured GA replacement that you can run on your own server. Because site owners run their own instances, they remain in charge of their tracking of users, retain ownership of the data and best of all don’t give any data to Google.
With the aim of responsible and unobtrusive tracking in mind I’ve added a page to my site to allow users to Opt-out of the Piwik tracking by means of a cookie. The link is also accessible from the sidebar under the copyright notice. I’m afraid some of the text on that page is pretty difficult to see with my current theme, but I’m working on this. For now just uncheck the check box to opt-out.
Right, on to the main event, the actual review…
1. Installation and Setup
2. Site Integration
You can also integrate Piwik widgets with your site, by following the instructions in the documentation, this is a neat feature, especially if you have a custom start page set in your web browser (something which I have yet to get around to making).
I also investigated the campaigns functionality in order to track entries to my site from the RSS feed. This is really simple to use, all you have to do is append the query string ‘?piwik_campaign=NAME’, where NAME is the name of your campaign to the end of a URL, to have it show up under that campaign. I found that I could integrate this with WordPress pretty well by adding the following snippet of code to the functions.php file of my theme:
If you now check the URLs in your RSS feeds, they will all have the query string added and clicks will be attributed to the ‘RSS’ campaign in Piwik.
3. User Interface
The Piwik user interface is really nice. I’ve included some screenshots below, so that you can make up your own mind. It’s pretty similar to the GA user interface, only cleaner and all the AJAX stuff makes it feel really responsive. I also love the real time tracking widget, which is something GA totally lacks. The only bad thing about the UI is the requirement of Flash for the graphs. I hate Flash and it doesn’t have a reliable 64-bit Linux version, which means I only have it installed on my netbook. Oh, and before you ask, I tried it with Gnash and it didn’t work!
By extensibility, I was primarily interested in API access. There’s certainly no shortage of this with two APIs listed on the documentation page. One API is for performing tracking, which I didn’t need given my usage of the WordPress plugin. I looked instead at the analytics API, which allows you to access all the data through simple HTTP requests. I was able to write a simple Python script to email me my main statistics once a day, in about an hour (including working out how the Python email and smtplib modules work!). Performing an Piwik API call in Python is as simple as:
Of course, as it’s Python its ridiculously simple!
Of course, if you find something that you can’t do with the API (which is unlikely, because it seems to cover everything), the you can access the data in the database – because it’s in YOUR database. You can also back-up and secure your data exactly how you want to. This is something that GA just can’t compete with!
5. Overall Impressions
My impressions of Piwik as a project have been really good. The documentation is excellent and there seems to be a good community behind it. As a product its a pleasure to use, really easy to install and just works. The reliance on flash for the graphs is a bit disappointing, but perhaps this will change in the future as HTML5 matures. Here are the obligatory scores:
Installation and Setup – 5/5
Site Integration – 4/5
User Interface – 3/5
Extensibility – 5/5
Overall Score: 4/5
Verdict: If your currently using Google Analytics, stop it! (and use this instead)
[EDIT: This series has been renamed so as not to conflict with Doug Hellman’s excellent Python Module of the Week series. See UPMotW #1 for details]
I’m going to try something different today. This is going to be the first in a series (hopefully once weekly) of Python Modules of the Week. This has probably been done to death elsewhere, but I’m using it as an opportunity to learn somemore Pythonand to cement some of these modules in my mind.
Argparse is a Python module for processing command line arguments. It’s new in version 2.7 and is designed to replace the Optparse module. I’m not sure what the rationale for the change was as the two modules look very similar to me. However, it suffices to say that you should use argparse in all new code.
The main class of argparse is called ArgumentParser, it allows you to add arguments to your program and parse the provided arguments at runtime:
parser.add_argument("-v","--verbose")# a flag type argument
parser.add_argument("value",type=int)# an integer positional argument
args=parser.parse_args()# parse the args from sys.argv
print(args.value)# arguments accessed as data members
You can also add meta-data such as help and descriptions to your arguments via keyword arguments to many of the methods. Take a look at the module documentation for examples. Once nice thing is that when you provide this data, argparse automatically generates the -h and –help flags and populates them with nicely formatted help output using the info you provide.
The argument parsing provided by argparse allows you to create some very complex command line interfaces to your scripts. I especially like the sub-commands framework, which allows each sub-command to exist as its own separate entity with its own options and help information. To create an argument parser with a sub-command is just a few lines:
Of course,each sub-command is an ArgumentParser in its own right, so you can add all the options that you normally would, including command line flags, positional arguments and help information. Also each sub-command will be listed in the help and will also have its own help page which can be accessed via:
All in all, this is a very useful Python module to know about. Its ease of use and the number of things it ‘just takes care of’ make it a pleasure to use. Hopefully it’ll have you writing nice command line interfaces to all those hacked together scripts that are currently controlled by commenting bits of them in and out!
So I said I’d try to blog about Kiwi PyCon over the weekend, so here goes! This is just going to be a quick post going through a few highlights, I’ll save my detailed discussion for my full round up when I get back home.
So here’s the talks I attended:
Keynote (obviously) – “How I learned to stop worrying and love deployment” by Jacob Kaplan-Moss (a core Django developer). This turned me onto a few modules, which I need to take a look at some point.
“Freeing the Cloud one (small) service at a time” by Francois Marier – about free web services and his service, Libravatar, in particular (Francois was also kind enough to help me out with a problem I was having with it right there and then, thanks Francois).
“Building a distributed Key-Value store with Cassandra” by Aaron Morton from Weta Digital. This was interesting, though I think a lot of it went over my head!
“Packaging and Virtual Environments” by Brett Wilkins (and another presenter, who’s name I can’t remember – so sorry to him!). This was really good and turned me onto distribute, which is a setuptools replacement. I love the image on their website:
Lightning talks – Of which the one on Bottle was particularly interesting – I’ve been looking for a lightweight web framework to play around with, so I’ll give it a try.
“5 Good Reasons for Automated Testing” by Roman Joost. Yeah, I really should be using automated testing!
“An Opinionated Guide to what makes a Good Unit Test” by Michael Hudson Doyle. Reinforced the opinion expressed above!
“Amazon Web Service: An Introduction” by Simone Brunozzi. This was quite businessy, but this stuff is definitely on my “must check out” list.
“Python In Astronomy” by Ian Bond. I missed the beginning of this but it’s awesome to see Python being used to do some hardcore science – finding planets no less!
Well that’s my quick summary of day one, hopefully there’ll be more good stuff tomorrow, so I’ll ‘see’ you then.
Bad Behavior has blocked 248 access attempts in the last 7 days.