Beomi

Beomi

set backspace=2
set autoindent
set smartindent
set expandtab
set et
set tabstop=4
set shiftwidth=4
set showmatch
set ignorecase
set incsearch

Beomi

def reduce_mem_usage(df):
    start_mem = df.memory_usage().sum() / 1024**2
    print('Memory usage of dataframe is {:.2f} MB'.format(start_mem))

    for col in df.columns:
        col_type = df[col].dtype
        if col_type != object:
            c_min = df[col].min()
            c_max = df[col].max()
            if str(col_type)[:3] == 'int':

Beomi

FROM python:3.7

ENV PYTHONUNBUFFERED 1
ENV PIPENV_VENV_IN_PROJECT 1

RUN mkdir /code
WORKDIR /code

RUN pip install -U pip && \
	pip install pipenv

Beomi

version: "3"

services:
  web:
    build: .
    command: python manage.py runserver 0.0.0.0:8000
    volumes:
      - .:/code
    ports:
      - "8000:8000"

Beomi

from sklearn.externals import joblib

with joblib.parallel_backend('dask'):
    grid_search.fit(X, y)

Beomi

import pandas as pd

pd.set_option('display.max_columns', None)  # or 1000
pd.set_option('display.max_rows', 100)  # or 1000
pd.set_option('display.max_colwidth', -1)  # or 199

import pandas_explode

pandas_explode.patch()

Beomi

import os

os.environ["CUDA_VISIBLE_DEVICES"]="2"
os.environ['CUDA_VISIBLE_DEVICES']

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import requests
from bs4 import BeautifulSoup as bs

def _word_to_int(x):
    if x.isdigit():
        return int(x)
    if 'K' in x:
        return int(float(x[:-1]) * 1000)

def get_follow_counts(username):

Beomi

def plot_multi(data, cols=None, spacing=.1, **kwargs):

    from pandas import plotting

    # Get default color style from pandas - can be changed to any other color list
    if cols is None: cols = data.columns
    if len(cols) == 0: return
    # colors = getattr(getattr(plotting, '_style'), '_get_standard_colors')(num_colors=len(cols))
    # colors = [rand_color.generate() for _ in range(len(cols))]
    # colors = rand_color.generate(hue="blue", count=len(cols))