Minje Jeon minjejeon

## add-context-menu.reg
Windows Registry Editor Version 5.00

[HKEY_CLASSES_ROOT\SystemFileAssociations\.heic\Shell\Convert-to-Jpg\command]
@="\"C:\\Program Files\\ImageMagick-7.1.1-Q16-HDRI\\magick.exe\" mogrify -format jpg \"%1\""

## Dockerfile
FROM linuxserver/bookstack:latest

COPY ./install-weasyproxy.sh /tmp/
RUN sh /tmp/install-weasyproxy.sh

RUN mkdir /custom-cont-init.d/
COPY ./init-weasyproxy.sh /custom-cont-init.d/

## gist:0e5562468f83274679e8bfa56fa1937e
from django.db import connection
from django.conf import settings
cursor = connection.cursor()
cursor.execute('SHOW TABLES')
results=[]
for row in cursor.fetchall():
    results.append(row)

for row in results:
    cursor.execute('ALTER TABLE %s CONVERT TO CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci;' % (row[0]))

## useful_pandas_snippets.py
# List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

# Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

# Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(valuelist)]

## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD license

python 3에서 실행 가능하도록 수정, 한글 해설 추가
"""
import numpy as np

# 데이터를 불러오고, 글자-벡터 간 상호 변환 매핑 준비
data = open('input.txt', 'r').read() # 텍스트 파일 로드
	FROM linuxserver/bookstack:latest

	COPY ./install-weasyproxy.sh /tmp/
	RUN sh /tmp/install-weasyproxy.sh

	RUN mkdir /custom-cont-init.d/
	COPY ./init-weasyproxy.sh /custom-cont-init.d/
	from django.db import connection
	from django.conf import settings
	cursor = connection.cursor()
	cursor.execute('SHOW TABLES')
	results=[]
	for row in cursor.fetchall():
	results.append(row)

	for row in results:
	cursor.execute('ALTER TABLE %s CONVERT TO CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci;' % (row[0]))
	# List unique values in a DataFrame column
	pd.unique(df.column_name.ravel())

	# Convert Series datatype to numeric, getting rid of any non-numeric values
	df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

	# Grab DataFrame rows where column has certain values
	valuelist = ['value1', 'value2', 'value3']
	df = df[df.column.isin(valuelist)]
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD license

	python 3에서 실행 가능하도록 수정, 한글 해설 추가
	"""
	import numpy as np

	# 데이터를 불러오고, 글자-벡터 간 상호 변환 매핑 준비
	data = open('input.txt', 'r').read() # 텍스트 파일 로드