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Re: [codecrewny] Data Analysis and working with NYC Open Data

From: Jamal
Sent on: Thursday, November 7, 2013 12:44 PM
While on the Python/data subject, here are some books that I'm finding useful while learning this stuff:


Hope someone finds this list useful. Feel free to recommend more.

Best,
Jamal

On Thursday, November 7, 2013 at 12:33 PM, Thomas Moskva Murphy wrote:

Using Python for data analysis & visualization has similar aims to R. 

The difference is that Python isn't specifically aimed at anything, whereas R is called "The R Project for Statistical Computing"

Python is just as happy doing web scraping, crypto, GUI work…it's a standard (and fast) environment with a large community that have built modules for it.


On Thu, Nov 7, 2013 at 12:22 PM, Evan Agovino <[address removed]> wrote:
I'm studying R right now - can you briefly expand on the difference between R and Python?  Is Python more of a visual modelling tool as compared to R?


On Thu, Nov 7, 2013 at 12:13 PM, Jamal <[address removed]> wrote:
I agree with using Python as a data/scientific computing tool. I've been working as a data analysis/data visualization developer at a startup here in NYC and it's what we use. I use Pandas and Matplotlib a lot in my daily workflow and like them a lot. Now I'm learning more about machine learning and will be diving into scikit-learn.

If anyone has an interest or expertise in these areas please do reach out to me. I'm offering coffee and beer to allow me to pick your brain. :)

Jamal

On Thursday, November 7, 2013 at 11:56 AM, Thomas Moskva Murphy wrote:

Seeing that this is a thread about NYC open data, I feel I have to point towards Python, which is becoming the dominant data/scientific computing tool. With libraries like NumPy, Pandas, & MatPlotLib, you can make some impressive data-driven work.

It's also an amazing first functional programming language, because it enforces clean code. 

Check out Learn Python the Hard Way and of course http://reddit.com/r/python

HTML/CSS are great, but it's important to know that they are presentational markup languages, not functional programming/computing languages.



On Thu, Nov 7, 2013 at 10:41 AM, Marcus Alexander Eagan <[address removed]> wrote:
I recommend PHP, a language I don't myself. I just hear that it allows very easy entry and expressions make sense to non-programmers. I started with small talk and my head has never stopped hurting. :)

Marcus

Sent from my phone.

On Nov 7, 2013, at 8:53 AM, Holly  <[address removed]> wrote:

Hi All,

I have no experience in programming, just very basic knowledge of HTML.  What are some resources to get myself familiarized with where to begin? Any good materials on code academy? And what language would be best to tackle for a beginner?  

Thanks to all suggestions! 


--
Holly Horan-Visser
MBA '16
Baruch College, Zicklin School of Business
[address removed]


On Wed, Nov 6, 2013 at 8:07 AM, Devon McCormick <[address removed]> wrote:
I have some, general experience with this sort of thing and would like to work with the NYC open data, so I'd be willing to attempt to figure this out if anyone would like to help.


On Tue, Nov 5, 2013 at 2:34 PM, Rick Colosimo <[address removed]> wrote:
Dear Bianca,

I'm just figuring this out myself with Ruby+Rails. The things you'll want to search on are REST and .json in the language or tool you want to use. That's the common entry point, it seems, to many open APIs.

Thanks,

Rick

Richard J. Colosimo

On Nov 2, 2013, at 18:29, Bianca <[address removed]> wrote:

I'm trying to learn how to work with NYC open data and APIs in general, but I'm not really sure where to begin. I've tried to Google this, but have been unable to find a high-level overview of how to approach this.

Has anyone in this group worked with data sets and knows how to visualize data? I need a very beginner explanation of how to do this.

Let me know! Maybe we can meet at GA or some coffee shop.

Thanks,

Bianca




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