soobrosa

You could say I'm a sucker for bashing, but hell no, was I just curious.

Agile is something of an overused buzzword now and it seems to be the case now. Agile here equals with just installing a dozen frameworks after each other and skim another programming or markup language in a row spiced with some algos and stats. You gonna be exposed to SQL, NoSQL, Python, Avro, Pig, Flask, Bootstrap, Jinja, D3.js, nvd3.js, MongoDB, ElasticSearch, GitHub, dotCloud, S3, Elastic Mapreduce, Google Analytics, Mortar Data, ElasticSearch, Wonderdog, TF-IDF and Naive Bayes, all in 178 pages.

Thinking positively this is the quickest possible intro for a workflow with all typical phases, although weapons of choice seem arbitrary, never a why, never a pro or a con nor any alternatives. If you're lazy to understand the landscape and want a pre-cooked menu that you can cook, but can't change the recipes, go for it.

Check for yourself at O'Reilly.

Score: 2 of 5.

Mea culpa, but I was waiting for THE Pandas book given its author. I believed that pandas deserve a good intro book with decently built examples and learning curve, but I was wrong. This book is a very uneven kind of batched together webreference chapters. Most of the material is not meant for beginners sometimes even can get kind of scary. No pun intended, it smells like good intent, bad execution for me. As a starter Chapter 2 contained non-working code snippets while Chapter 3 exposed such inner workings that could confuse readers. Why is this here, I mean all editors went on strike? Truth to be told the 2nd edition fixed some of the most annoying bugs. Strictly appendix stuff is edited in as the main course. Handle with care — I will stick to pandas tutorials presented in IPython notebooks.

Check for yourself at O'Reilly.

Score: 3 of 5.

Faludi Bence előadása a Springfresh Django Meetup-on a CEU Microdata projekt Python-os ETL eszközétől, a mETL-ről (ejtsd: metil).

Január 23-án előadtam a Superweek konferencián, kösz Bánónak a hangért, nyilván a helyszínen merült le a hangfelvevőm.

A PyData szuperniche konferencia a javából a Python és az adatbindzsi metszetében. Tűéles előadások és tutorialok, alább a három kedvenc, de érdemes kotorászni a Vimeo csatornán.

Egy tanulság egy harminc perces videó helyett: NLP - don't do it. Do IR.

Nyéki Gábor tartotta a Data Science Meetup November-en a CEU Networks projekt első geek prezijét az adattisztításra épített irányított aciklikus gráf feldolgozónkról, a TARR-ról (Test and Rule Registry).

Interjúk a projekt vezetőivel, Szeidl Ádámmal és Koren Miklóssal.

Kicsit rövid a jelentkezési határidő - ma -, és a tízezer forintos adminisztrációs díj kicsit sok, de érdemes ráfeküdni. Részletek itt, válogatás a pályázat anyagaiból ott. (A rendezvényen rövid haknit követtem el, ami a hullámzó net miatt inkább bábozás volt - a végső és valódi Tableau-s Foursquare dashboarddal még mindig adós vagyok.)

I'm not a big fan of conferences although I've attended some, even presented at some in the international e-learning circuit. Strata, however always make me consider applying for a US visa - hint: Strata is just hitting London this October. Videos from Strata 2011 was already featured in this blog as they condensed such wit and knowledge with good presentation that I believe it's a must to consume them for any serious data nerd. This video product is not perfect - see my struggle with talking head videos before -, yes, in general it would make more sense to show the overhead projection in a big and the talking head in a small crop, but the Strata 2012 video compilation is actually more than you can handle and I'm not just talking about the 106 hours equaling gigabytes of MP4 movies. Yes, if you lurk around Youtube, you can find some of the best presentations out there, for free, but this product also contains the materials of the workshops that you definitely shouldn't miss. Please find below three of my favourite presentations from Avinash Kaushnik, Ben Goldacre and Jeremy Howard.

Check for yourself at O'Reilly.

Score: 5 of 5.

It should be my mistake. Once I was interested in a serious look on database design, second I was really curious what could O'Reilly Media do with the "talking head" courseware genre. Boy, was I disappointed. As I started watching I immediately found myself in the Eighties watching BBC in some Wales humdrum town. Expect nodding heads around the table, I can't reflect responsibly on the content as I fell asleep immediately. I believe this is not a proper choice of media for this topic.

Check for yourself at O'Reilly.

Score: 1 of 5.

I approached this book as an aging hacker who started out network computing on DEC VAX and VMS, but spent more than a dozen years in Windows-close business environments, and now gets back to its roots with a programming habit turning serious. My UNIX experience got rusty during the years, and I was surprised to find a complete generation of programmers operating without a slight knowledge of the command line. I wanted to get a practical grasp again to make my day-to-day data crunching toolset wider with all the command line can provide me with – not least compell the youngsters who cannot help themselves starting out with a new JAVA class to solve any problem.

The book is well-written, perhaps a bit too verbose, but it’s easily accessible even for beginners. However, I’m not totally sure how it should be consumed as I found it a bit middle-of-the-road, too detailed for a reference book, but not covering all the razorsharp workhorse approach of UNIX commands. In my case, text cruncing related basics, such as grep or regex is just slightly touched, you can’t even find the word ’greedy’ in the whole book. The back cover states that the target audience of the book is someone who already uses Linux with a GUI, but now wants to look under the hood.

I’m not totally sure that this journey will amaze and show the real strength in the engines, but for me, it’s a keeper, I’ll definitely skim it to refresh my memories building my new Linux coding workstation. Check for yourself at O'Reilly.

Score: 4 of 5.

A héten bemutattam és egyben meg is védtem szakdolgozatom a főiskola szakdolgozatversenyén. Igyekszem mihamarabb megosztani a teljes anyagot, az adatokat és a kódot is.

Nem is értem, miért használ még bárki Scribd-et, hisz jóféle spammer oldal lett. A teljes szakdolgozatomnak is jó gazdája az Issuu.