Re: Where to go after "Programming in D"
On Tuesday, 1 March 2016 at 17:21:16 UTC, David DeWitt wrote: On Tuesday, 1 March 2016 at 16:50:12 UTC, karabuta wrote: I am almost done with the "programming in D" book. Where will you suggest a go from there. My current focus is on network programming, database systems, data manipulation and software architectures for database related apps(mostly Linux platforms with D). I am aiming to become a hardcore and better coder(quality code) than you :) Please suggest. Forgot to add: https://github.com/PhilippeSigaud/D-templates-tutorial
Re: Where to go after "Programming in D"
On Tuesday, 1 March 2016 at 16:50:12 UTC, karabuta wrote: I am almost done with the "programming in D" book. Where will you suggest a go from there. My current focus is on network programming, database systems, data manipulation and software architectures for database related apps(mostly Linux platforms with D). I am aiming to become a hardcore and better coder(quality code) than you :) Please suggest. I'd probably skim thru the Language Reference and Phobos. After that I would practice using Ranges and get a better grasp on the functions in std.algorithms. std.algorithm has some good stuff for dealing with data. Since you want to do Network programming I would suggest Vibe.d and read thru the source of it. Also whatever DB you normally use check out the projects for those drivers and maybe contribute as some need ppl. Since you say you want to become "hardcore" I would suggest porting some popular libraries over to D. After that maybe look to get involved in Phobos and/or the compiler of your choosing.
Re: vibe.d-example illustrating Dynamic Textual Web-Interface
On Monday, 30 November 2015 at 20:05:42 UTC, Sebastiaan Koppe wrote: Code can be found here: https://bitbucket.org/skoppe/mpc/src Looks good. Have you looked at Redux and Webpack? I am working on a Redux example and we have switched to Webpack and Redux at work and it is nice.
Re: vibe.d-example illustrating Dynamic Textual Web-Interface
On Monday, 30 November 2015 at 20:38:12 UTC, Sebastiaan Koppe wrote: On Monday, 30 November 2015 at 20:23:48 UTC, David DeWitt wrote: Have you looked at Redux and Webpack? I am working on a Redux example and we have switched to Webpack and Redux at work and it is nice. I know about both yes. Webpack would probably beat browserify, but I haven't gotten the time to migrate myself. Their hot code reloading looks good though. Isn't redux the client side for GraphQL? I followed it a bit but it being so fresh, decided to wait. A GraphQL interface generator for vibe.d would be nice. Redux is luscious!!! It is a flux-like implementation but you dont have to deal with individual stores as the app's state lives in a single object tree. Once you go thru it you'll like it. https://github.com/rackt/redux https://github.com/xgrommx/awesome-redux
Re: OT: why do people use python when it is slow?
On Wednesday, 14 October 2015 at 14:48:22 UTC, John Colvin wrote: On Wednesday, 14 October 2015 at 14:32:00 UTC, jmh530 wrote: On Tuesday, 13 October 2015 at 23:26:14 UTC, Laeeth Isharc wrote: https://www.quora.com/Why-is-Python-so-popular-despite-being-so-slow Andrei suggested posting more widely. I was just writing some R code yesterday after playing around with D for a couple weeks. I accomplished more in an afternoon of R coding than I think I had in like a month's worth of playing around with D. The same is true for python. As someone who uses both D and Python every day, I find that - once you are proficient in both - initial productivity is higher in Python and then D starts to overtake as a project gets larger and/or has stricter requirements. I hope never to have to write anything longer than a thousand lines in Python ever again. That's true until you need to connect to other systems. There are countless clients built for other systems thats are used in real world applications. With web development the Python code really just becomes glue nowadays and api's. I understand D is faster until you have to build the clients for systems to connect. We have an application that uses Postgres, ElasticSearch, Kafka, Redis, etc. This is plenty fast and the productivity of Python is more than D as the clients for Elasticsearch, Postgres and various other systems are unavailable or incomplete. Sure D is faster but when you have other real world systems to connect to and time constraints on projects how can D be more productive or faster? Our python code essentially becomes the API and usage of clients to other systems which handle a majority of the hardcore processing. Once D gets established with those clients and they are battle tested then I will agree. To me productivity is more than the language itself but also building real world applications in a reasonable time-frame. D will get there but is nowhere near where Python is.
Re: OT: why do people use python when it is slow?
On Wednesday, 14 October 2015 at 15:31:49 UTC, John Colvin wrote: On Wednesday, 14 October 2015 at 15:25:22 UTC, David DeWitt wrote: On Wednesday, 14 October 2015 at 14:48:22 UTC, John Colvin wrote: On Wednesday, 14 October 2015 at 14:32:00 UTC, jmh530 wrote: On Tuesday, 13 October 2015 at 23:26:14 UTC, Laeeth Isharc wrote: https://www.quora.com/Why-is-Python-so-popular-despite-being-so-slow Andrei suggested posting more widely. I was just writing some R code yesterday after playing around with D for a couple weeks. I accomplished more in an afternoon of R coding than I think I had in like a month's worth of playing around with D. The same is true for python. As someone who uses both D and Python every day, I find that - once you are proficient in both - initial productivity is higher in Python and then D starts to overtake as a project gets larger and/or has stricter requirements. I hope never to have to write anything longer than a thousand lines in Python ever again. That's true until you need to connect to other systems. There are countless clients built for other systems thats are used in real world applications. With web development the Python code really just becomes glue nowadays and api's. I understand D is faster until you have to build the clients for systems to connect. We have an application that uses Postgres, ElasticSearch, Kafka, Redis, etc. This is plenty fast and the productivity of Python is more than D as the clients for Elasticsearch, Postgres and various other systems are unavailable or incomplete. Sure D is faster but when you have other real world systems to connect to and time constraints on projects how can D be more productive or faster? Our python code essentially becomes the API and usage of clients to other systems which handle a majority of the hardcore processing. Once D gets established with those clients and they are battle tested then I will agree. To me productivity is more than the language itself but also building real world applications in a reasonable time-frame. D will get there but is nowhere near where Python is. Python is inherently quite good for glue and has great library support, so if that's the majority of your work then Python is a good choice. On the other hand, there's plenty of programming out there that isn't like that. I agree but the quora question ask why it is popular despite being slow and this is the reason. If you are doing tasks that are computationally expensive in Python then yes it will be slow but Python is popular largely because of their web frameworks and support. Even something like Pandas is good enough for most peoples data sets. But still I think most people use it as glue and if they need something done they can pass it off to something else to do the "real" work. If this wasn't the case then Python would not be as popular. You pick the right tool for the right job maybe D and maybe Python and this doesn't mean your results will be slow.
Re: Dangular - D Rest server + Angular frontend
On Sunday, 19 July 2015 at 19:54:31 UTC, Jarl André Hübenthal wrote: Hi I have created a personal project that aims to learn myself more about D/vibe.d and to create a simple and easy to grasp example on Mongo - Vibe - Angular. [...] Nice. I was thinking about doing one up in React but haven't had much time for D the past few weeks. I quit Angular due to React and all the nonsense regarding 2.0.
Re: core.exception.InvalidMemoryOperationError@(0) on File Reading.
On Tuesday, 23 June 2015 at 18:49:59 UTC, David DeWitt wrote: On Monday, 22 June 2015 at 20:30:40 UTC, David DeWitt wrote: I am getting an core.exception.InvalidMemoryOperationError@(0) auto recs = f // Open for reading .byLineCopy(); .array; //Here is where is appears to be happening. [...] I have had a chance to try the new phobos. Dealing with the errors related to: http://forum.dlang.org/thread/mm1fdo$q5u$1...@digitalmars.com in debian. Gonna mess with it some more when I have a chance. I pulled down the latest version on Github and everything ran fine.
Filtering Associative Array Key-Values the D way
I'm trying to understand filtering an Associative Array the D
way. I have the code below
(Using while readln cause problem failing on Debian using
byLineCopy()). When the byKeyValue().filter evaluates to reduce
the number of Keys:Values to only the ones in the filtered
header, what is the best way to transform the Pair back to an AA
instead of having to run the foreach loop after? Basically if
the file has 300 columns and 300 in the full header but only 15
in the filtered header I want the return of rec to only be the 15
in an Associative Array. Thanks :)
string line;
string[string][] records;
while ((line = f.readln()) !is null){
string[string] record;
auto rec = assocArray(zip(h1.fullHeader,
splitter(line,',')))
.byKeyValue().filter!(a=h1.filteredHeader.canFind(a.key));
foreach(r;rec){
record[r.key] = r.value;
}
records ~= record;
}
Re: core.exception.InvalidMemoryOperationError@(0) on File Reading.
On Monday, 22 June 2015 at 20:30:40 UTC, David DeWitt wrote: I am getting an core.exception.InvalidMemoryOperationError@(0) auto recs = f // Open for reading .byLineCopy(); .array; //Here is where is appears to be happening. [...] I have had a chance to try the new phobos. Dealing with the errors related to: http://forum.dlang.org/thread/mm1fdo$q5u$1...@digitalmars.com in debian. Gonna mess with it some more when I have a chance.
core.exception.InvalidMemoryOperationError@(0) on File Reading.
I am getting an core.exception.InvalidMemoryOperationError@(0)
auto recs = f // Open for reading
.byLineCopy();
.array; //Here is where is appears to
be happening.
I have narrowed it down to the .array. I am wondering if there
is some common issue I may be experiencing or if there is a
better solution?
Here is what I am overall trying to achieve.
auto recs = f // Open for reading
.byLineCopy;
.array();
.map!(a=
assocArray(zip(h1.fullHeader, splitter(a,','
.map!(a=a.byKeyValue()
.filter!(a=h1.filteredHeader.canFind(a.key)));
foreach(item;recs){
auto item = Json.emptyObject;
each!((k)= item[k.key] =
k.value)(item);
insert(item, dateIndex);
//ElasticSearch
}
Also any suggestions on the code are greatly appreciated :)
