Glom – Restructured Data for Python
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Glom – Restructured Data for Python
1–10 of 99 posts
Re: Glom – Restructured Data for Python
#2I haven't played with this yet, but it looks really handy. I deal with much more JSON on the command line than I'd like, so I think having both a single library and command line tool to reshape that data will make that much easier. I've used jq a few times, but when I want to move a little beyond what it does I usually end up writing a Python script. Hopefully this will make that transition smoother.
Re: Glom – Restructured Data for Python
#3I haven't played with this yet, but it looks really handy. I deal with much more JSON on the command line than I'd like, so I think having both a single library and command line tool to reshape that data will make that much easier. I've used jq a few times, but when I want to move a little beyond what it does I usually end up writing a Python script. Hopefully this will make that transition smoother.
Haha, I'm all for console usage, but let me tell you, there's nothing quite like that feeling of moving a working spec into a dedicated application with exception handling, logging, etc. :)
Re: Glom – Restructured Data for Python
#4It looks quite similar in spirit to Clojure's Specter library (https://github.com/nathanmarz/specter), and even seems to have a nod to it (The Spectre of Structure).
Re: Glom – Restructured Data for Python
#5It looks quite similar in spirit to Clojure's Specter library ( https://github.com/nathanmarz/specter ), and even seems to have a nod to it (The Spectre of Structure).
Oh nice! Total coincidence, I assure you. Still, I should read on this and add it to the analogy doc: http://glom.readthedocs.io/en/latest/by_analogy.html
Declarative data transformation generates a lot of comparisons (almost all of them great, though!).
Re: Glom – Restructured Data for Python
#6This is really cool. Did you ever consider an API to do the reverse - to insert a value at a particular point in the data?
My interest stems from this issue[0] on the Ruby issue tracker to make a symmetrical method to Hash#dig (which does something similar to, but more limited than glom) called Hash#bury. The problem in the issue was that inserting a value at a given index in an array proved difficult and unnatural in Ruby, so I was wondering if there were other solutions out there.
Another question occurs to me - does glom only support string keys?
Re: Glom – Restructured Data for Python
#7This is really cool. Did you ever consider an API to do the reverse - to insert a value at a particular point in the data? My interest stems from this issue[0] on the Ruby issue tracker to make a symmetrical method to Hash#dig (which does something similar to, but more limited than glom) called Hash#bury. The problem in the issue was that inserting a value at a given index in an array proved difficult and unnatural i…
glom not only supports more than string keys, it also supports assigning to non-dictionary objects. That's a part of the API we're working on right now, actually.
As for the data insertion, mutation may be in the future, but for now glom only transforms and returns new objects. Definitely something to think about though, bookmarked! :)
Re: Glom – Restructured Data for Python
#8This is really cool. Did you ever consider an API to do the reverse - to insert a value at a particular point in the data? My interest stems from this issue[0] on the Ruby issue tracker to make a symmetrical method to Hash#dig (which does something similar to, but more limited than glom) called Hash#bury. The problem in the issue was that inserting a value at a given index in an array proved difficult and unnatural i…
'string-key', T['string-key'], T[not-string-key] :-)
Re: Glom – Restructured Data for Python
#9This seems like lenses for python... neat! I often use python to mess around with things, and almost always miss Haskell's lenses when doing so. This seems like an interesting solution.
Re: Glom – Restructured Data for Python
#10This might have been unintentional, but I suspect "Spectre of Structure" and "Python's missing piece" refer to Nathan Marz's specter library for clojure [1], similarly touted as clojure's missing piece. I tend to agree in the case of specter, given the mind-boggling types of transformations that are easily (and simply) expressed in it (and often run faster than idiomatic clojure as well). Highly recommended if you ever need to work with deeply nested data structures.