Create 2019-01-02-anaconda.md

jiaxianhua · web-flow · commit 0b692785f96b · 2019-01-02T23:26:54.000+08:00
diff --git a/_posts/2019-01-02-anaconda.md b/_posts/2019-01-02-anaconda.md
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+---
+layout: post
+title: 2019年最新最全的 Anaconda 安装指南
+author: iosdevlog
+date: 2019-01-02 10:46:55 +0800
+description: ""
+category: 机器学习
+tags: []
+---
+
+> 君子生非异也，善假于物也
+>                                                            -- 荀子
+
+从 `Anaconda` 官文网站 <https://www.anaconda.com/download> 下载操作系统对就的安装文件，选择 Python 3.7 版本。
+
+`Anaconda` 默认安装了许多有用的数据科学工具和 `Python` 库。可以直接测试 `sklearn`。
+
+# Windows
+
+下载地址: <https://www.anaconda.com/download/#windows>
+
+下载后缀为 `exe` 格式的文件，下载完成后双击开始安装，一直按 *Next* 即可。
+
+![1.PNG](https://upload-images.jianshu.io/upload_images/910914-5341a1aff83e4654.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![2.PNG](https://upload-images.jianshu.io/upload_images/910914-3aacb364ae69709d.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![3.PNG](https://upload-images.jianshu.io/upload_images/910914-7bc638710cf94e59.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![4.PNG](https://upload-images.jianshu.io/upload_images/910914-4cbfd3f89b6d5c29.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![5.PNG](https://upload-images.jianshu.io/upload_images/910914-6d21f44aa8b85980.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![6.PNG](https://upload-images.jianshu.io/upload_images/910914-9b7ce0c6b20f48db.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![7.PNG](https://upload-images.jianshu.io/upload_images/910914-fd75bb4747f78225.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![8.PNG](https://upload-images.jianshu.io/upload_images/910914-b598ad810bc67b34.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+![9.PNG](https://upload-images.jianshu.io/upload_images/910914-509cc16d06a168cf.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+从开始菜单启动 `Anaconda Navigator`
+
+![10.PNG](https://upload-images.jianshu.io/upload_images/910914-9f08d526667845bd.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+新建 `Python 3` Notebook
+
+![11.PNG](https://upload-images.jianshu.io/upload_images/910914-656b65bd943e91c7.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+查看 sklearn 版本
+
+![sklearn_version.PNG](https://upload-images.jianshu.io/upload_images/910914-c87b2db158a01f0c.PNG?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+```
+import sklearn
+sklearn.show_versions()
+Could not locate executable g77
+Could not locate executable f77
+Could not locate executable ifort
+Could not locate executable ifl
+Could not locate executable f90
+Could not locate executable DF
+Could not locate executable efl
+Could not locate executable gfortran
+Could not locate executable f95
+Could not locate executable g95
+Could not locate executable efort
+Could not locate executable efc
+Could not locate executable flang
+don't know how to compile Fortran code on platform 'nt'
+
+System:
+    python: 3.7.1 (default, Dec 10 2018, 22:54:23) [MSC v.1915 64 bit (AMD64)]
+executable: D:\Anaconda3\python.exe
+   machine: Windows-10-10.0.17134-SP0
+
+BLAS:
+    macros: 
+  lib_dirs: 
+cblas_libs: cblas
+
+Python deps:
+       pip: 18.1
+setuptools: 40.6.3
+   sklearn: 0.20.1
+     numpy: 1.15.4
+     scipy: 1.1.0
+    Cython: 0.29.2
+    pandas: 0.23.4
+```
+
+# macOS
+
+下载地址: <https://www.anaconda.com/download/#macos>
+
+下载后缀为 `pkg` 格式的文件，下载完成后双击开始安装。
+
+1. Anaconda 安装器提示
+
+![1.png](https://upload-images.jianshu.io/upload_images/910914-2eae6f16d7d0194d.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+2.  介绍 Anaconda 安装器
+
+![2.png](https://upload-images.jianshu.io/upload_images/910914-02a28c24ccc44d0d.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+3.  请先阅读安装 Anaconda 相关信息
+
+![3.png](https://upload-images.jianshu.io/upload_images/910914-3a737e556151bf56.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+4.  查看许可协议
+
+![4.png](https://upload-images.jianshu.io/upload_images/910914-94d0d321a8c28e21.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+5.  同意条款
+
+![5.png](https://upload-images.jianshu.io/upload_images/910914-b4bbb4e23fb39419.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+6.  安装位置
+
+![6.png](https://upload-images.jianshu.io/upload_images/910914-c6a7a0ff24551229.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+7.  正式安装 Anaconda
+
+![7.png](https://upload-images.jianshu.io/upload_images/910914-2a83856c071a18d2.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+8.  暂时不安装 VSCode，如何需要，稍后可以通过 Anaconda-Navigator 安装
+
+![8.png](https://upload-images.jianshu.io/upload_images/910914-72d4f24f0708ba0c.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+9.  安装成功
+
+![9.png](https://upload-images.jianshu.io/upload_images/910914-e59444df87bb34ae.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+10. `DashBoard` 里面搜索 `Anaconda-Navigator`
+
+![10.png](https://upload-images.jianshu.io/upload_images/910914-04429ea378b86371.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+11. 显示主界面，这里可以安装 `VSCode` 等应用程序
+
+![11.png](https://upload-images.jianshu.io/upload_images/910914-a7fe989d536fb458.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+12. 查看 `sklearn` 版本
+
+![sklearn.png](https://upload-images.jianshu.io/upload_images/910914-94a94ab8b3ebaabe.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+```
+import sklearn
+
+sklearn.show_versions()
+
+System:
+    python: 3.7.1 (default, Dec 14 2018, 13:28:58)  [Clang 4.0.1 (tags/RELEASE_401/final)]
+executable: /Users/iosdevlog/anaconda3/bin/python
+   machine: Darwin-18.2.0-x86_64-i386-64bit
+
+BLAS:
+    macros: SCIPY_MKL_H=None, HAVE_CBLAS=None
+  lib_dirs: /Users/iosdevlog/anaconda3/lib
+cblas_libs: mkl_rt, pthread
+
+Python deps:
+       pip: 18.1
+setuptools: 40.6.3
+   sklearn: 0.20.1
+     numpy: 1.15.4
+     scipy: 1.1.0
+    Cython: 0.29.2
+    pandas: 0.23.4
+```
+
+# Linux
+
+下载地址：<https://www.anaconda.com/download/#linux>
+
+下载后缀为 `sh` 格式的文件，下载完成后打开终端进入下载目标，输入以下命令开始安装。
+
+```
+$ wget -c https://repo.continuum.io/archive/Anaconda3-2018.12-Linux-x86_64.sh
+$ chmod +x Anaconda3-2018.12-Linux-x86_64.sh
+$ ./Anaconda3-2018.12-Linux-x86_64.sh
+```
+
+1. 运行安装程序
+
+![1.png](https://upload-images.jianshu.io/upload_images/910914-56da773397de8c56.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+2. 空格翻页查看 License
+
+![2.png](https://upload-images.jianshu.io/upload_images/910914-d44e5cd33762dccd.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+3. 输入 *yes* 接受 License
+
+![3.png](https://upload-images.jianshu.io/upload_images/910914-e85b113d8c784d7e.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+4. 安装位置，这里使用默认
+
+![4.png](https://upload-images.jianshu.io/upload_images/910914-745455393cae02af.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+5. 配置 Anaconda 环境到 `~/.bashrc`
+
+![5.png](https://upload-images.jianshu.io/upload_images/910914-d9c970b55acc1c81.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+6. 先不安装 VSCode
+
+![6.png](https://upload-images.jianshu.io/upload_images/910914-c3dbb7454e596ff7.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+7. 重新加载 `~/.bashrc`，运行 anaconda-navigator
+
+![7.png](https://upload-images.jianshu.io/upload_images/910914-c51cd13cf63f167e.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+8. 显示主界面，这里可以安装 `VSCode` 等应用程序
+
+![8.png](https://upload-images.jianshu.io/upload_images/910914-70844cca6221a92f.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+9. 查看 `sklearn` 版本
+
+![9.png](https://upload-images.jianshu.io/upload_images/910914-248ff8df33d32d44.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)
+
+```
+$ python
+Python 3.7.1 (default, Dec 14 2018, 19:28:38) 
+[GCC 7.3.0] :: Anaconda, Inc. on linux
+Type "help", "copyright", "credits" or "license" for more information.
+>>> import sklearn
+>>> sklearn.show_versions()
+
+System:
+    python: 3.7.1 (default, Dec 14 2018, 19:28:38)  [GCC 7.3.0]
+executable: /home/iosdevlog/anaconda3/bin/python
+   machine: Linux-4.13.0-45-generic-x86_64-with-debian-buster-sid
+
+BLAS:
+    macros: SCIPY_MKL_H=None, HAVE_CBLAS=None
+  lib_dirs: /home/iosdevlog/anaconda3/lib
+cblas_libs: mkl_rt, pthread
+
+Python deps:
+       pip: 18.1
+setuptools: 40.6.3
+   sklearn: 0.20.1
+     numpy: 1.15.4
+     scipy: 1.1.0
+    Cython: 0.29.2
+    pandas: 0.23.4
+>>> 
+```
