matejsarlija

call plug#begin(stdpath('data') . '/plugged') 
Plug 'ryanoasis/vim-devicons'

" fugitive - git support
Plug 'tpope/vim-fugitive'

Plug 'shougu/unite.vim'

"autocompletion related
"Plug 'Shougo/deoplete.nvim', { 'do': ':UpdateRemotePlugins' }

matejsarlija

## Ignore Visual Studio temporary files, build results, and
## files generated by popular Visual Studio add-ons.
##
## Get latest from https://github.com/github/gitignore/blob/master/VisualStudio.gitignore

# User-specific files
*.rsuser
*.suo
*.user
*.userosscache

matejsarlija

call plug#begin(stdpath('data') . '/plugged') 
Plug 'ryanoasis/vim-devicons'

" fugitive - git support
Plug 'tpope/vim-fugitive'

Plug 'shougu/unite.vim'

"autocompletion related
Plug 'Shougo/deoplete.nvim', { 'do': ':UpdateRemotePlugins' }

matejsarlija

absurd :: Void -> a

matejsarlija

call plug#begin('C:\Users\matej\AppData\Local\nvim\plugged') 
Plug 'ryanoasis/vim-devicons'
Plug 'neoclide/coc.nvim', {'branch': 'release'}

" fugitive - git support
Plug 'tpope/vim-fugitive'
 

" nerd tree
Plug 'scrooloose/nerdtree', { 'on':  'NERDTreeToggle' }

matejsarlija

module MyBind

open System

let strToInt (str: string) =
    try
        str |> int |> Some
    with
    | :? FormatException -> None

matejsarlija

"""source : https://nilimeshhalder.medium.com/how-to-find-optimal-parameters-for-catboost-using-gridsearchcv-for-regression-in-python-ef778b60d95d"""
def Snippet_199(): 
    print()
    print(format('How to find optimal parameters for CatBoost using GridSearchCV for Regression','*^82'))    
    
    import warnings
    warnings.filterwarnings("ignore")
    
    # load libraries
    from sklearn import datasets

matejsarlija

"""In essence, here is how I would do it to reduce memory consumption and improve performance:

Load json file (no way to stream it in python AFAIK)
Chunk the array of dictionaries into smaller chunks
Convert chunk into objects
Call bulk_create
Garbage collect after every loop iteration"""

import json
import gc