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Hyungyong Kim yong27

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View gist:966bd7c60a232add08c953e8519a95f1
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View keybase.md

Keybase proof

I hereby claim:

  • I am yong27 on github.
  • I am yong27 (https://keybase.io/yong27) on keybase.
  • I have a public key ASAjtQNw9SDOQaz1UbCt8SF8R7dYOe-xaZQKCGYa8jmPugo

To claim this, I am signing this object:

@yong27
yong27 / 데이터분석사례-중간고사성적.ipynb.json
Last active Jan 21, 2016
Jupyter 데이터 분석 사례 (인코고등학교 중간고사 성적)
View 데이터분석사례-중간고사성적.ipynb.json
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"cell_type": "markdown",
"metadata": {},
"source": [
"# 성적 데이터 분석\n",
"\n",
"인코고등학교 1학년의 중간고사 성적이 나왔습니다. 1반과 2반 두개의 반으로 구성되어 있고, 학생은 각각 6명입니다. 이 성적 데이터로 간단한 데이터 분석을 하고자 합니다. \n",
"\n",
@yong27
yong27 / go_term_stat.py
Created May 13, 2015
It's for counting biological_process terms which have is_a and part_of.
View go_term_stat.py
"""
It's for counting biological_process terms which have is_a and part_of.
Usage:
$ wget http://purl.obolibrary.org/obo/go.obo
$ python3 go_term_stat.py < go.obo
Main data structure
View Korean-social-newtork-status.json
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[대한민국 SNS 이용현황](http://m.blog.naver.com/mobidays01/220331132165) 블로그 글에 표시된 그림을 좀 다르게 그려보자\n",
"\n",
"![](http://mblogthumb1.phinf.naver.net/20150414_20/mobidays01_14290006372183j5KB_JPEG/mobidays_sns%C0%CC%BF%EB%C7%F6%C8%B2.jpg?type=w2)"
]
@yong27
yong27 / metagenome_profiler.py
Created Mar 13, 2015
Metagenome basic profiler
View metagenome_profiler.py
import pandas as pd
from subprocess import Popen, PIPE
def len_fasta(filename):
p1 = Popen(['cat', filename], stdout=PIPE, stderr=PIPE)
p2 = Popen(['grep', '>'], stdin=p1.stdout, stdout=PIPE, stderr=PIPE)
p3 = Popen(['wc', '-l'], stdin=p2.stdout, stdout=PIPE, stderr=PIPE)
result, err = p3.communicate()
if p3.returncode != 0:
View gist:1663c74272b7e685fdc2
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"metadata": {
"name": "",
"signature": "sha256:9299994bc33725ce2fb54720efc2a7b1a7fb1e955d3914b9e8ba9de6a50bd456"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
@yong27
yong27 / apply_df_by_multiprocessing.py
Last active Mar 17, 2022
pandas DataFrame apply multiprocessing
View apply_df_by_multiprocessing.py
import multiprocessing
import pandas as pd
import numpy as np
def _apply_df(args):
df, func, kwargs = args
return df.apply(func, **kwargs)
def apply_by_multiprocessing(df, func, **kwargs):
workers = kwargs.pop('workers')
@yong27
yong27 / geo_downloader.py
Last active May 19, 2020
GEO file downloader from query search result CSV
View geo_downloader.py
# -*- coding:utf-8 -*-
"""
GEO file downloader
Requirements
* beautifulsoup4 (pip install lxml beautifulsoup4)
* wget
Usage
1. get CSV file in the GEO browse page.
@yong27
yong27 / clock_angle_chart.ipynb
Created May 24, 2013
Clock angle chart ipython notebook
View clock_angle_chart.ipynb
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