jli

Pinned/versioned Python dependencies when using both conda and pip

Problem

It's good to have pinned/versioned dependencies for reproducible builds: https://pythonspeed.com/articles/pipenv-docker/

The conda-lock and pip-compile tools are helpful for this. But, they're not ideal when installing dependencies from both conda and pip because the solvers run independently and may generate inconsistent versions.

jli

hexdump

1. Add a custom diff driver "binary":

   git config diff.binary.textconv 'hexdump -v -C'

2. Add a gitattributes config to associate .parq files with the "binary" diff driver:

   echo '*.parq diff=binary' >> .git/info/attributes

jli

Keybase proof

I hereby claim:

• I am jli on github.
• I am circularly (https://keybase.io/circularly) on keybase.
• I have a public key ASD-DLn1DKb0al4WYDRJAhej8u8VXf9S-9pRLGrv26a9CQo

To claim this, I am signing this object:

jli

" .config/nvim/init.vim

syntax on

""" basics

set ignorecase
set smartcase
set shiftwidth=2
set expandtab

jli

;; user> (partition* [1 2 3 4 5 6 7 8] 3)                                                                            
;; ((1 2 3) (2 3 4) (3 4 5) (4 5 6) (5 6 7) (6 7 8))                                                                 
(defn partition* [xs n]
  (let [subs (loop [ys xs acc []]
               (if (empty? ys)
                 acc
                 (recur (rest ys) (conj acc ys))))]
    (take-while #(= (count %) n)
                (map (partial take n) subs))))