Machine Learning---python environment setup

One installation python2.7

Go to https://www.python.org/downloads/Download, and then click Install, remember your installation path, and then go to set the environment variables, these self-Baidu a bit better. Since 2.7 does not have a PIP, it is best to install it. This is https://pypi.python.org/pypi/pip#downloads. After downloading, click Start, search CMD. Input

Python setup.py Install

You enter PIP in cmd to show this, which means PIP also does not set environment variables, you just go to your Python installation directory to find the Scripts folder. Copy this address, and then set the environment variable to do it.

Set the environment variables and enter the PIP.

Two installation numpy and MATPLOTLIB1 NumPy Brief introduction

NumPy is an extension library for the Python language. It supports advanced large number of dimension and matrix operations, and also provides a large number of mathematical libraries for array operations. NumPy's predecessor, Numeric , was originally developed by Jim Hugunin with other collaborators, and in 2005, Travis Oliphant in Numeric combined with another feature of the library Numarray of the same nature, and added other extensions and developed the NumPy. NumPy is open source and co-maintained by many collaborators to develop.

2 Matplotlib Brief Introduction

Matplotlib is a library of very similar MATLAB environments that generate publishing quality data. The user can output the data in a pop-up window as a raster format (PNG, TIFF, JPG) or as a vector file (e.g. EPS, PS). Matlab users are familiar with the graphics types and syntax for creating files, especially the Python language that is added through NumPy.

3 Install open cmd. Enter separately

Pip Install NumPy

Pip Install Matlotlib

Get:

So far, our machine learning Python environment has been built. Then come into the machine learning world with me. Together to refuel.

Machine Learning---python environment setup