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subscribe to rss home archives bio linkedin personal blog hello, 18f! by becky on january 23, 2015 in on the job american flag by timo kohlenberg as of next month, i’ll be a proud employee of the u.s. government. in february i join the ranks of 18f , a digital startup-like team embedded in the federal government. just shy of a year old, 18f collaborates with federal agencies to make digital products that serve the people. for so many reasons, this is a logical next career step: 18f is mission-driven. after organizing hack for western mass for two years, this is a chance to be a professional civic hacker. some scary smart people from all over the country work at 18f. i’ll get to work from western mass and maintain my outside-the-beltway perspective. at national priorities project (npp) , i championed the cause of better data about our government’s spending, and 18f is working with the treasury department on that. npp uses several federal apis in its apps, and 18f is helping to grow these services . npp is a proponent of government transparency, and 18f works in the open . in other words, this is an extraordinary opportunity to move from advocacy to execution. thanks to everyone who encouraged me to take the leap, and hello to 18f. i can’t wait to join you. comments { 2 } goodbye, npp by becky on january 21, 2015 in on the job the npp dream team by ed and photographer doug hall last month i left my role as director of data and technology at national priorities project . for more than 30 years, this small non-profit has made the complex u.s. budget understandable to ordinary people. as someone who likes breaking down barriers to entry, that mission resonated. i’m grateful for the opportunity to contribute to npp and proud of the work i did there, from open-sourcing data on the cost of tax breaks to tracking budget dollars in the states to advocating for better federal spending information . and i’m grateful that npp supported my involvement in western mass data community projects like hack for western mass and the five college datafest . i highly recommend working on a small, mission-driven team at least once in your career—it’s life-changing. when the success or failure of your projects have a direct, meaningful impact on your organization, it’s a whole different ballgame. when you not only have to deliver the work but sell it too, you learn some skills. when generous people from around the country send money to support what you do every day, it’s humbling. oh, and being nominated for a nobel peace prize is also very cool. everything i learned at npp led to the next logical, exciting step. i haven’t said anything publicly because it won’t be official until the background check is done, but if everything goes as planned, i’ll continue working for a better u.s. thanks, npp, for four great years and for the invaluable work you do. see you at the next anniversary party! comments { 0 } useful pandas snippets by becky on august 6, 2014 in data , programming even after almost two years of working with pandas, the incredibly useful python data analysis library, i still need to look up syntax for some common tasks. finally got around to putting everything on a single “ useful pandas snippets ” cheat sheet: these are essential tools for munging federal budget data. continue reading → comments { 35 } ipython, ipython notebook, anaconda, and r (rpy2) by becky on august 3, 2014 in data , programming ipython and the ipython notebook have vast potential beyond their traditional use in the python scientific programming community. specifically, the notebook is a great learning tool, and that’s something i plan to highlight in an upcoming talk at the new england regional developer (nerd) summit . because the nerd mission is to reduce barriers for people entering it (as opposed to having them waste years of their lives untangling python package dependencies), the plan is to demo everything using the anaconda python installation . overkill maybe, since even on windows installing python and ipython isn’t too terrible. that said: it’s important for those who aren’t proficient on the command line to jump right in. if people get hooked on python and want to do more, they’ll have the important packages at the ready (anaconda includes some important machine learning packages that are missing from the free version of its competitor, enthought canopy ). to understand the worst case pain scenario before recommending anaconda to beginners, i installed it on windows. so far, so good. the only snafu i’ve hit so far is trying to get the ipython–>r integration working. this isn’t really a feature for beginners, but i want to show it because r is heavily used at local universities. to be clear, this mess isn’t an anaconda problem. however, if you’re using anaconda on windows and want to use ipython’s rmagic extension , here’s how. install r . add the directory with the r executables to your path. it has to be the directory with executables, not the main r folder. on a 64-bit machine, the directory is something like c:\program files\r\r-3.1.0\bin\x64. add these two environment variables ( h/t ): r_home (path of the main r folder, e.g. c:\program files\r\r-3.1.0) r_user (your windows username). restart windows. modify your windows python install registry key to point to your anaconda python location instead of the default python installation ( h/t ). if you followed the default anaconda install prompts (which installs for the current user, rather than all users on the machine), you’d change hkey_current_user\software\python\pythoncore\2.7\installpath. download and install dr. gohlke’s rpy2 windows binary (grab version 2.4.0 or higher): http://www.lfd.uci.edu/~gohlke/pythonlibs/#rpy2 . change the registry key from step 5 back to it’s original value. open an ipython notebook or terminal and load the rmagic extension: %load_ext rpy2.ipython you should be able to test everything out using this sample code . for comparison, these are the ubuntu instructions. install r: sudo apt-get install r-base r-base-core r-base-html install rpy2: pip install rpy2 comments { 3 } revisiting python on windows by becky on july 8, 2014 in data , programming three years ago i wrote a series of tutorials for setting up python/django on windows . despite taking great pains to make it all work and then meticulously documenting the details, i abandoned that idea in favor of an ubuntu virtualbox soon after those posts went live. it’s a long story, but at some point you need to cut your losses and stop throwing good time after bad. but this summer marks a return to windows. i decided our data intern should learn python or r, so he can experience a world beyond the proprietary stats packages they use at colleges. we decided on python and decided that windows is the best option; no need to add linux to his already long list of things to pick up. to test things out for him, i crossed my fingers and installed enthought canopy , a canned python environment for data viz and analysis, hoping it would take away the pain of installing python packages on windows. for the most part, it did. canopy (which has a free version) makes it easy to get up and running quickly. if you’re getting started with python data analysis, use it, and don’t spend hours of your life installing all the packages yourself. that way lies madness. that said, some of the latest and greatest python data viz packages aren’t included in the canopy distribution. if you want to learn those, you’ll have to install them yourself, which is where things can go awry. for example, if you’re on windows and the package you’re installing needs a 64-bit c compiler, you have to follow these 6 simple steps to get one: http://springflex.blogspot.com/2014/02/how-to-fix-valueerror-when-trying-to.html the python data ecosystem is extremely compelling, but there’s still too many barriers for a beginner to jump right in, especially on windows. comments { 1 } hack for weste

URL analysis for swegler.com

http://www.swegler.com/becky/blog/2011/09/14/python-django-and-mysql-on-windows-7/
http://www.swegler.com/becky/blog/2015/01/23/hello-18f/#comments
http://www.swegler.com/becky/blog/2012/11/30/transitioning-to-open-government-data/#comments
http://www.swegler.com/becky/blog/2014/07/02/hack-for-western-mass/#comments
http://www.swegler.com/becky/blog/2012/11/30/transitioning-to-open-government-data/
http://www.swegler.com/becky/blog/category/on-the-job/
http://www.swegler.com/becky/blog/wp-content/uploads/2015/01/npp_lunch.png
http://www.swegler.com/becky/blog/category/design-2/
http://www.swegler.com/becky/blog/category/thoughts/
http://www.swegler.com/becky/blog/category/data-2/viz/
http://www.swegler.com/becky/blog/2013/08/09/running-ipython-notebook-from-vagrantvirtualbox/#comments
http://www.swegler.com/becky/blog/feed/
http://www.swegler.com/becky/blog/2014/08/06/useful-pandas-snippets/#more-1062
http://www.swegler.com/becky/blog/page/2/
http://www.swegler.com/becky/blog/2013/08/09/running-ipython-notebook-from-vagrantvirtualbox/
guardian.co.uk

Whois Information

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Domain Name: SWEGLER.COM
Registry Domain ID: 1535572061_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.dreamhost.com
Registrar URL: http://www.DreamHost.com
Updated Date: 2017-12-10T20:38:48Z
Creation Date: 2008-12-31T14:53:31Z
Registry Expiry Date: 2019-12-31T14:53:31Z
Registrar: DreamHost, LLC
Registrar IANA ID: 431
Registrar Abuse Contact Email:
Registrar Abuse Contact Phone:
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Name Server: NS1.DREAMHOST.COM
Name Server: NS2.DREAMHOST.COM
Name Server: NS3.DREAMHOST.COM
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last update of whois database: 2018-11-26T02:01:07Z <<<

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  REGISTRAR DreamHost, LLC

SERVERS

  SERVER com.whois-servers.net

  ARGS domain =swegler.com

  PORT 43

  TYPE domain

DOMAIN

  NAME swegler.com

  CHANGED 2017-12-10

  CREATED 2008-12-31

STATUS
clientTransferProhibited https://icann.org/epp#clientTransferProhibited

NSERVER

  NS1.DREAMHOST.COM 64.90.62.230

  NS2.DREAMHOST.COM 208.97.182.10

  NS3.DREAMHOST.COM 66.33.205.230

  REGISTERED yes

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