[GSoC] Dataframes for D

[Prateeek Nayak]

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Update Time
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Pardon me for the delay, my university just started and it has 
been a busy first week. However I have some good news

* Aggregate implementation is under review - The preliminary 
implementation restricted the set of operations that aggregate 
could do but then Mr. Wilson suggested there should be a way to 
expand it's usability so we worked on a revamp which takes the 
function you desire as input and operates them on row/column of 
DataFrame
* There is a new way set index using index operation
* to_csv supports setting precision for floating point numbers - 
this was a problem I knew existed but I hadn't addressed it till 
now. Better late then never.
* Homogeneous DataFrame don't use TypeTuple anymore
* at overload coming soon


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What is to come next
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* The first few responses from the community were mostly 
regarding bringing binary file I/O support because of their lean 
size and fast read/write. I will explore more regarding this.
* Time Series is gaining importance with the rise of Machine 
Learning. I would like to implement something along the lines of 
time series functionality Pandas has.
* Something you would line to see. I am open to suggestions (^_^)

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Problems faced
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There remains a small implementation detail that remains - a 
dispatch function. Given non-homogeneous cases still require 
traversal to a column, a function to apply an alias statically or 
non-statically depending on the DataFrame is under discussion.
This will reduce code redundancy however my preliminary attempts 
to tackle this have ended in failure. I will try to finish it by 
the weekend. If I cannot solve it by then, I will seek your help 
in the Learn section (^_^)
Thank you