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# coding: utf-8 | |
# From : https://gist.github.com/haven-jeon/6b508f4547418ab26f6e56b7a831dd9a#file-word2vec-ipynb | |
# !git clone https://github.com/haven-jeon/KoWordSpacing | |
# !bunzip2 KoWordSpacing/input.txt.bz2 | |
# # 임베딩 평가 데이터 | |
# !git clone https://github.com/SungjoonPark/KoreanWordVectors |
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library("shiny") | |
library("ggplot2") | |
library("dplyr") | |
# reference : | |
# https://shiny.rstudio.com/gallery/plot-interaction-basic.html | |
# https://shiny.rstudio.com/gallery/plot-interaction-zoom.html | |
data <- mtcars %>% mutate(id = 1:n()) |
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//use std::cmp; | |
/* | |
impl Solution { | |
pub fn two_sum(nums: Vec<i32>, target: i32) -> Vec<i32> { | |
} | |
} | |
*/ |
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// From : https://leetcode.com/problems/two-sum | |
pub struct Inputs { | |
pub nums: Vec<i32>, | |
pub target: i32, | |
} | |
pub trait Solution { | |
fn two_sum(&self) -> Vec<i32>; | |
fn result_solution(&self) -> String { |
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# from : https://stackoverflow.com/questions/36587211/easiest-way-to-read-csv-files-with-multiprocessing-in-pandas | |
import os | |
import pandas as pd | |
from multiprocessing import Pool | |
from glob import glob | |
data_files = glob(os.path.join(data_dir, "*.xlsx")) |
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