This page is not created by, affiliated with, or supported by Slack Technologies, Inc.
2022-05-31
Channels
- # announcements (8)
- # babashka (8)
- # beginners (13)
- # biff (1)
- # calva (1)
- # cider (12)
- # clj-kondo (16)
- # cljs-dev (3)
- # cljsrn (14)
- # clojure (18)
- # clojure-austin (2)
- # clojure-czech (3)
- # clojure-europe (54)
- # clojure-germany (5)
- # clojure-nl (1)
- # clojure-norway (2)
- # clojure-spec (4)
- # clojure-survey (2)
- # clojure-uk (1)
- # clojured (15)
- # clojurescript (5)
- # conjure (6)
- # core-async (65)
- # cursive (24)
- # data-science (1)
- # emacs (9)
- # events (3)
- # graphql (5)
- # integrant (6)
- # jobs (2)
- # joyride (62)
- # lsp (5)
- # malli (10)
- # off-topic (20)
- # pathom (57)
- # polylith (18)
- # re-frame (12)
- # remote-jobs (3)
- # rewrite-clj (14)
- # sci (2)
- # shadow-cljs (41)
- # sql (9)
- # tools-deps (68)
I wrote a naive online Initializer for Luminus Projects (kit-clj to be added, soon). It’s really fresh, very beta, I would love some input on this! https://clojure-initializer.herokuapp.com
I wanted to create something beginner-friendly. It does nothing more than to wrap the Luminus Lein Template, but all possible modules are listed in their specific category, can be browsed and filtered.
it seems like you can add components as many times as you like but can't remove them in the UI:
really beta 🙈 Thanks for pointing that out, I will add some remove buttons and store the components in a set
Should be fixed, now.
It’s a cool idea, I always thought it would be nice to have something like this. Might be nice to handle react native projects too
For now I plan to add kit-clj, but I’m open to support other templating mechanisms that I might not know yet
Deep Diamond 0.23.0 released. https://twitter.com/hashtag/Clojure?src=hashtag_click high performance Tensor and Deep Learning library now supports recurrent networks (still in preview on CPU, GPU soon). Check it out at https://github.com/uncomplicate/deep-diamond Big thank you to all members of Clojurists Together who generously supported this work! Next, on to the book update: https://aiprobook.com/deep-learning-for-programmers/