背景：
conda 是一个python的计算环境，minicoda 可以看做是conda的精简版
官网：
https://conda.io/miniconda.html
安装：
miniconda 支持多个操作系统，根据自己的操作系统选择对应的安装包
以 Linux 平台，python 2.7 为例, 安装过程如下：
wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh
bash Miniconda2-latest-Linux-x86_64.sh
首先是一个欢迎界面，按 ENTER 键继续：
Welcome to Miniconda2 4.3.21 (by Continuum Analytics, Inc.) In order to continue the installation process, please review the license agreement. Please, press ENTER to continue
阅读软件的许可证：
>>>
===================================
Anaconda End User License Agreement
===================================
Copyright 2017, Continuum Analytics, Inc.
All rights reserved under the 3-clause BSD License:
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the name of Continuum Analytics, Inc. ("Continuum") nor the names
of its contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL CONTINUUM ANALYTICS, INC. BE LIABLE FOR
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OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
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Notice of Third Party Software Licenses
=======================================
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Anaconda. You are also authorized to redistribute the MKL binaries with
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of the MKL binaries are subject to the licensing terms located at
https://software.intel.com/en-us/license/intel-simplified-software-license.
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Cryptography Notice
===================
This distribution includes cryptographic software. The country in which you
currently reside may have restrictions on the import, possession, use,
and/or re-export to another country, of encryption software. BEFORE using
any encryption software, please check your country's laws, regulations and
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or performing cryptographic functions with asymmetric algorithms. The form
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the BIS Export Administration Regulations, Section 740.13) for both object
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with no license required for export to non-embargoed countries.
The following packages are included in this distribution that relate to
cryptography:
openssl
The OpenSSL Project is a collaborative effort to develop a robust,
commercial-grade, full-featured, and Open Source toolkit implementing the
Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols as
well as a full-strength general purpose cryptography library.
pycrypto
A collection of both secure hash functions (such as SHA256 and RIPEMD160),
and various encryption algorithms (AES, DES, RSA, ElGamal, etc.).
pyopenssl
A thin Python wrapper around (a subset of) the OpenSSL library.
kerberos (krb5, non-Windows platforms)
A network authentication protocol designed to provide strong authentication
for client/server applications by using secret-key cryptography.
cryptography
A Python library which exposes cryptographic recipes and primitives.
Do you approve the license terms? [yes|no]
输入yes之后，选择安装的路径：
>>> yes Miniconda2 will now be installed into this location: /home/xudl/miniconda2 - Press ENTER to confirm the location - Press CTRL-C to abort the installation - Or specify a different location below
选择好之后，开始安装:
[/home/xudl/miniconda2] >>> /home/xudl/soft/miniconda2
PREFIX=/home/xudl/soft/miniconda2
installing: python-2.7.13-0 ...
installing: asn1crypto-0.22.0-py27_0 ...
installing: cffi-1.10.0-py27_0 ...
installing: conda-env-2.6.0-0 ...
installing: cryptography-1.8.1-py27_0 ...
installing: enum34-1.1.6-py27_0 ...
installing: idna-2.5-py27_0 ...
installing: ipaddress-1.0.18-py27_0 ...
installing: libffi-3.2.1-1 ...
installing: openssl-1.0.2l-0 ...
installing: packaging-16.8-py27_0 ...
installing: pycosat-0.6.2-py27_0 ...
installing: pycparser-2.17-py27_0 ...
installing: pyopenssl-17.0.0-py27_0 ...
installing: pyparsing-2.1.4-py27_0 ...
installing: readline-6.2-2 ...
installing: requests-2.14.2-py27_0 ...
installing: ruamel_yaml-0.11.14-py27_1 ...
installing: setuptools-27.2.0-py27_0 ...
installing: six-1.10.0-py27_0 ...
installing: sqlite-3.13.0-0 ...
installing: tk-8.5.18-0 ...
installing: yaml-0.1.6-0 ...
installing: zlib-1.2.8-3 ...
installing: conda-4.3.21-py27_0 ...
installing: pip-9.0.1-py27_1 ...
installing: wheel-0.29.0-py27_0 ...
Python 2.7.13 :: Continuum Analytics, Inc.
creating default environment...
installation finished.
WARNING:
You currently have a PYTHONPATH environment variable set. This may cause
unexpected behavior when running the Python interpreter in Miniconda2.
For best results, please verify that your PYTHONPATH only points to
directories of packages that are compatible with the Python interpreter
in Miniconda2: /home/xudl/soft/miniconda2
Do you wish the installer to prepend the Miniconda2 install location
to PATH in your /home/xudl/.bashrc ? [yes|no]
[no] >>>
You may wish to edit your .bashrc or prepend the Miniconda2 install location:
$ export PATH=/home/xudl/soft/miniconda2/bin:$PATH
Thank you for installing Miniconda2!
Share your notebooks and packages on Anaconda Cloud!
Sign up for free: https://anaconda.org
在安装过程中，会提示修改PATH系统变量，根据需求输入yes或者no就可以了
我这里选择了no ， 后续再调用的时候后就需要使用完整的路径了
安装好之后，可以测试一下，这里我升级一下conda, 确保是最新版本：
/home/xudl/soft/miniconda2/bin/conda update conda
Fetching package metadata .........
Solving package specifications: .
Package plan for installation in environment /home/xudl/soft/miniconda2:
The following packages will be UPDATED:
conda: 4.3.21-py27_0 --> 4.3.22-py27_0
Proceed ([y]/n)? y
conda-4.3.22-p 100% |#################################################################################################| Time: 0:00:00 2.21 MB/s
安装其他的python包也可以通过conda 这个包管理器进行