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digitalmars.D.learn - D for data science and statistics

reply Nicolas <nicholasbadiu1 gmail.com> writes:
Hi all!

Pleased to meet you. I am currently deep-diving into data 
analysis and statistics with R and SQL. I got mid-level 
programming experience, focusing on algorithms and innovation 
instead of sticking to one programming language.

I only got three questions:

1. Is there any extensive, up-to-date documentation on D? I 
really like its syntax and potential, so I am going to try and 
study anything regarding this programming language.

2. What about its integration with data analysis tools? Do you 
think it could be an alternative to, let's say, Python?

3. What IDE do you recommend when it comes to D?

Thank you all. You're awesome ^-^
Jun 04 2022
next sibling parent Alain De Vos <devosalain ymail.com> writes:
As i personally did not used Windows the last 5 years, i use as 
editor for any language:
neovim-qt. Someone else might answer about good Windows editors.
As for the other questions google "awesome dlang" will return 
interesting results.
I consider Dlang general purpose as opposed to specialized 
languages like R or Julia.
Jun 04 2022
prev sibling next sibling parent Sergey <kornburn yandex.ru> writes:
On Saturday, 4 June 2022 at 20:26:54 UTC, Nicolas wrote:

 Hi all!

 Pleased to meet you. I am currently deep-diving into data 
 analysis and statistics with R and SQL. I got mid-level 
 programming experience, focusing on algorithms and innovation 
 instead of sticking to one programming language.

 I only got three questions:

 1. Is there any extensive, up-to-date documentation on D? I 
 really like its syntax and potential, so I am going to try and 
 study anything regarding this programming language.

 2. What about its integration with data analysis tools? Do you 
 think it could be an alternative to, let's say, Python?

 3. What IDE do you recommend when it comes to D?

 Thank you all. You're awesome ^-^


Hi there!

1) Phobos documentation is available online. Great book also 
http://ddili.org/ders/d.en/index.html

2) R integration: 
https://dlang.org/blog/2020/01/27/d-for-data-science-calling-r-from-d/
Python integration: https://pyd.readthedocs.io/en/latest/
D usage in Data Science example: 
https://tech.nextroll.com/blog/data/2014/11/17/d-is-for-data-science.html
Stats package: https://github.com/DlangScience/dstats

3) one of the best is “Code-d” LSP server, which could be used 
from VS Code or Vim/NeoVim

PS there are several Machine Learning libraries: vectorflow from 
Netflix, grain and rnnlib
But all of them are far away from modern libs like TF or PyTorch 
or OpenAI
Jun 04 2022
prev sibling parent =?UTF-8?Q?Ali_=c3=87ehreli?= <acehreli yahoo.com> writes:
On 6/4/22 13:26, Nicolas wrote:


 2. What about its integration with data analysis tools? Do you think it
 could be an alternative to, let's say, Python?


I suspect Python is much more mature in that space. I would browse the 
following page, which lists many organizations using D for data processing:

   https://dlang.org/orgs-using-d.html

Wow! Time passes fast... It's been 8 years since the following article 
came up:

   https://tech.nextroll.com/blog/data/2014/11/17/d-is-for-data-science.html

And the following is by Netflix:

   https://netflixtechblog.medium.com/introducing-vectorflow-fe10d7f126b8

There is also open source code which may have useful modules. Here are 
results for searching "statistics":

   https://code.dlang.org/search?q=statistics

And Mir appears under "science":

   https://code.dlang.org/search?q=science

Ali
Jun 04 2022