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ch2.py # Code from Chapter 2 of Machine Learning: An Algorithmic Perspective (2nd Edition) # by Stephen Marsland (http://stephenmonika.net) # You are free to use, change, or redistribute the code in any way you wish for # non-commercial purposes, but please maintain the name of the original author. # This code comes with no warranty of any kind. # Stephen Marsland, 2008, 2014 # Plots a 1D Gaussian function from matplotlib import pylab import pylab as pl import numpy as np gaussian = lambda x: 1/(np.sqrt(2*np.pi)*1.5)*np.exp(-(x-0)**2/(2*(1.5**2))) x = np.arange(-5,5,0.01) y = gaussian(x) pl.ion() pl.plot(x,y,'k',linewidth=3) pl.xlabel('x') pl.ylabel('y(x)') pl.axis([-5,5,0,0.3]) pl.title('Gaussian Function (mean 0, standard deviation 1.5)') pl.show() ---------------------------------------------------------------------- (base) C:\Users\USERNAME\Desktop>conda activate VIRTUALENV_NAME (VIRTUALENV_NAME) C:\Users\USERNAME\Desktop>python ch1.py (VIRTUAL

  https://www.instructables.com/Dobot-Robotic-Arm-become-a-3D-printer-with-a-bowde/

User A:  conda env export > conda_requirements.txt User B: conda env create -f conda_requirements.txt User A:  pip freeze > requirements.txt User B:  pip install -r requirements.txt

 https://mr-seo.tistory.com/1 Link: https://www.python.org/downloads/release/python-365/ Windows x86-64 executable installer click & download 1. 관리자 권한으로 실행 2. 설치 . Customize installation   - 설치경로를 변경해주기 위해서 선택합니다. . Add Python 3.6 to PATH   - Python 3.6을  환경변수(컴퓨터 시스템 전반에 걸쳐 쉽게 참조할 수 있도록 만들어 놓은 변수) 로 설정합니다. Path에 경로가 들어있으면 어느 위치에서든 cmd에서 실행할 수 있습니다. . Next!! . Customize install location   - Python으로 개발하다보면 여러 version을 사용할때가 있습니다. Python version을 한 디렉토리에서 관리하는 것이 편리하기에 location을 변경합니다.