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/* ~/Library/KeyBindings/DefaultKeyBinding.Dict

This file remaps the key bindings of a single user on Mac OS X 10.5 to more
closely match default behavior on Windows systems. This makes the Command key
behave like Windows Control key. To use Control instead of Command, either swap
Control and Command in Apple->System Preferences->Keyboard->Modifier Keys...
or replace @ with ^ in this file.

Here is a rough cheatsheet for syntax.
Key Modifiers

seongilp

import sys
import os
import matplotlib.pyplot as plt
import numpy as np
import importlib
import pickle

# put nn_layers to your working directory (or set appropriate paths)
import nn_layers as nnl

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from functools import cached_property
import numpy as np
from numpy.lib.format import descr_to_dtype
from skimage.util.shape import view_as_windows

#######
# if necessary, you can define additional functions which help your implementation,
# and import proper libraries for those functions.
#######

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import sys
import os
import matplotlib.pyplot as plt
import numpy as np
from scipy import stats
import scipy.special as sp
import time
from scipy.optimize import minimize
from collections import Counter

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# 라이브러리 불러오기
import requests
from bs4 import BeautifulSoup
import telegram
from apscheduler.schedulers.blocking import BlockingScheduler

# 검색 키워드
search_word = '신한은행'

# 텔레그램 봇 생성

seongilp

와이씨

 84  
 2020-12-23 20:14:55
 221.♡.64.179
댓글에 질문이 한분 계셔서 도움 되시라고 올려봅니다.

아시는분들은 아시겠지만요. 비개발자인 일반인분들도 아시면 편해서...

seongilp

arch -x86_64 /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"

sudo mkdir -p /opt/homebrew
sudo chown -R $(whoami):staff /opt/homebrew
cd /opt
curl -L https://github.com/Homebrew/brew/tarball/master | tar xz --strip 1 -C homebrew
export PATH="/opt/homebrew/bin:/usr/local/bin:$PATH"
alias ibrew='arch -x86_64 /usr/local/bin/brew'

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wget https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh
arch -x86_64 /bin/bash 
conda create --name test python jupyter numpy matplotlib scipy
conda install -c anaconda scikit-learn
conda install -c conda-forge lightgbm
conda activate test 
pip install pandas opencv-python torch 

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# 10/16
# high order function 

# map, filter, fold 

def hd(l): return l[0]
def tl(l): return l[1:len(l)]

def inc_all(l):
  if l == []:

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# Exercise 1: Sum from 1 to n
# Write a recursive function that computes the sum from 1 to n.
# >>> sum(10)
# 55
# >>> sum(100)
# 5050
def sum(n):
  if n==1: return 1
  else:
    return n+sum(n-1)