Anaconda是最受欢迎的python数据科学和机器学习平台，用于大规模数据处理，预测分析和科学计算。这篇文章主要介绍了Linux(Ubuntu 18.04)上安装Anaconda的方法,需要的朋友可以参考下
Anaconda是最受欢迎的python数据科学和机器学习平台，用于大规模数据处理，预测分析和科学计算。Anaconda发行版附带了1,000多个数据包，conda命令行工具和Anaconda Navigator的桌面图形用户界面。
本教程将指导您完成在Ubuntu 18.04上下载和安装Anaconda Python Distribution。
下载Anaconda
在撰写本文时，Anaconda的最新稳定版本是5.3版本。
请选择 64-Bit (x86) Installer 进行下载链接: https://pan.baidu.com/s/1rNA9D8gaGHuIE0Ao_l5AQA 提取码: uecd 。尽量不要用python2.7，很多库已经不提供python2.7支持。
点击链接就会进行下载，同时会弹出信息收集框，直接关闭就好。
安装Anaconda
$ sudo sh Anaconda3-5.3.0-Linux-x86_64.sh [sudo] andrew 的密码： Welcome to Anaconda3 5.3.0 In order to continue the installation process, please review the license agreement. Please, press ENTER to continue >>> # 按下回车 ... # 多次按空格读完license。 Do you accept the license terms? [yes|no] [no] >>> yes # 输入yes - Press ENTER to confirm the location - Press CTRL-C to abort the installation - Or specify a different location below ... [/home/andrew/anaconda3] >>> /usr/local/anaconda3 # 输入自定义目录 ... # 安装根据机器性能，通常需要持续几分钟。 # 讨论 钉钉群21745728 qq群144081101 567351477 # 本文地址：https://www.jianshu.com/p/9fe9ff999234 Do you wish to proceed with the installation of Microsoft VSCode? [yes|no] #选择no，一般来说自带的spyder和专业IDE wingIDE更好用。 ... Do you wish the installer to initialize Anaconda3 in your /home/andrew/.bashrc ? [yes|no] [no] >>> # 选择yes Initializing Anaconda3 in /home/andrew/.bashrc A backup will be made to: /home/andrew/.bashrc-anaconda3.bak For this change to become active, you have to open a new terminal. Thank you for installing Anaconda3! =========================================================================== Anaconda is partnered with Microsoft! Microsoft VSCode is a streamlined code editor with support for development operations like debugging, task running and version control. To install Visual Studio Code, you will need: - Administrator Privileges - Internet connectivity Visual Studio Code License: https://code.visualstudio.com/license Do you wish to proceed with the installation of Microsoft VSCode? [yes|no] >>> no 添加“export PATH=/usr/local/anconda3/bin:$PATH“ 到/etc/profile，这样所有用户都可以使用Anaconda python3.7了。 上面的.bashrc在刚才安装时添加了如下内容： # added by Anaconda3 5.3.0 installer # >>> conda init >>> # !! Contents within this block are managed by 'conda init' !! __conda_setup="$(CONDA_REPORT_ERRORS=false '/usr/local/anaconda3/bin/conda' shell.bash hook 2> /dev/null)" if [ $? -eq 0 ]; then eval "$__conda_setup" else if [ -f "/usr/local/anaconda3/etc/profile.d/conda.sh" ]; then . "/usr/local/anaconda3/etc/profile.d/conda.sh" CONDA_CHANGEPS1=false conda activate base else export PATH="/usr/local/anaconda3/bin:$PATH" fi fi unset __conda_setup~/.bashrc # <<< conda init <<<
验证安装
通过重新登陆或者执行’source ~/.bashrc”加载环境变量。
$ conda info active environment : base active env location : /usr/local/anaconda3 shell level : 1 user config file : /home/andrew/.condarc populated config files : conda version : 4.5.11 conda-build version : 3.15.1 python version : 3.7.0.final.0 base environment : /usr/local/anaconda3 (read only) channel URLs : https://repo.anaconda.com/pkgs/main/linux-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/free/linux-64 https://repo.anaconda.com/pkgs/free/noarch https://repo.anaconda.com/pkgs/r/linux-64 https://repo.anaconda.com/pkgs/r/noarch https://repo.anaconda.com/pkgs/pro/linux-64 https://repo.anaconda.com/pkgs/pro/noarch package cache : /usr/local/anaconda3/pkgs /home/andrew/.conda/pkgs envs directories : /home/andrew/.conda/envs /usr/local/anaconda3/envs platform : linux-64 user-agent : conda/4.5.11 requests/2.19.1 CPython/3.7.0 Linux/4.15.0-36-generic ubuntu/18.04 glibc/2.27 UID:GID : 1000:1000 netrc file : None offline mode : False $ python Python 3.7.0 (default, Jun 28 2018, 13:15:42) [GCC 7.2.0] :: Anaconda, Inc. on linux Type "help", "copyright", "credits" or "license" for more information. >>>
至此，已经安装完毕。
更新Anaconda
一般是有新版本发布时才需要使用。
$ conda update conda $ conda update anaconda
删除Anaconda
一般是有新版本发布时才需要使用。
$sudo rm -rf /usr/local/anaconda3 删除上面~/.bashrc和/etc/profile的修改 清空隐藏文件： rm -rf ~/.condarc ~/.conda ~/.continuum
总结
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