Anaconda

安裝anaconda從官網上下載慢，使用清華映象連結下載 https://mirrors.tuna.tsinghua.edu.cn/help/anaconda/
下載完之後，儘量的按照anaconda預設的行為安裝，打鉤的兩個地方都勾上，它會自動將bin目錄加入到環境變數path中去。 
安裝完成後，使用系統命令列，可輸入 conda list 可以看到安裝了多少包。

接下來指定清華映象，步驟如下：

執行命令，生成.condarc檔案

1 2	conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ conda config --set show_channel_urls yes

Anaconda更新失敗

輸入命令列：conda search numpy C:\Users\Administrator>conda search numpy
Fetching package metadata ..... 錯誤資訊：
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://repo.continuum.io/pkgs/main/win-64/repodata.json.bz2>
Elapsed: -


An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
ConnectTimeout(MaxRetryError("HTTPSConnectionPool(host='repo.continuum.io', port=443): Max retries exceeded with url: /pkgs/main/win-64/repodata.json.bz2 (Caused by ConnectTimeoutError(<urllib3.connection.VerifiedHTTPSConnection object at 0x000002AAC9D3FCF8>, 'Connection to repo.continuum.io timed out. (connect timeout=9.15)'))",),)

解決辦法：

檢視配置資訊 輸入命令：conda config –show 
顯示如下資訊： 
add_anaconda_token: True 
add_pip_as_python_dependency: True 
allow_softlinks: True 
always_copy: False 
always_softlink: False 
always_yes: False 
auto_update_conda: True 
binstar_upload: None 
changeps1: True 
channel_alias: https://conda.anaconda.org 
channel_priority: True 
channels: 
- 

https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ 
- defaults 
client_ssl_cert: 
client_ssl_cert_key: 
create_default_packages: [] 
debug: False 
default_channels: 
- https://repo.continuum.io/pkgs/free 
- https://repo.continuum.io/pkgs/r 
- https://repo.continuum.io/pkgs/pro 
- https://repo.continuum.io/pkgs/msys2 
disallow: [] 
envs_dirs: 
- C:\Anaconda3\envs 
- C:\Users\surpass\AppData\Local\conda\conda\envs 
- C:\Users\surpass.conda\envs 
json: False 
offline: False 
proxy_servers: {} 
quiet: False 
shortcuts: True 
show_channel_urls: True 
ssl_verify: True 
track_features: [] 
update_dependencies: True 
use_pip: True 
verbosity: 0

輸入命令： conda - -help    //找到配置檔案.condarc的路徑 ，將上述顯示的配置資訊中-defaults所在行刪除儲存即可

顯示資訊如下： 
Options:

positional arguments: 
command 
info Display information about current conda install. 
help Displays a list of available conda commands and their help 
strings. 
list List linked packages in a conda environment. 
search Search for packages and display their information. The input 
is a Python regular expression. To perform a search with a 
search string that starts with a -, separate the search from 
the options with –, like ‘conda search – -h’. A * in the 
results means that package is installed in the current 
environment. A . means that package is not installed but is 
cached in the pkgs directory. 
create Create a new conda environment from a list of specified 
packages. 
install Installs a list of packages into a specified conda 
environment. 
update Updates conda packages to the latest compatible version. This 
command accepts a list of package names and updates them to 
the latest versions that are compatible with all other 
packages in the environment. Conda attempts to install the 
newest versions of the requested packages. To accomplish 
this, it may update some packages that are already installed, 
or install additional packages. To prevent existing packages 
from updating, use the –no-update-deps option. This may 
force conda to install older versions of the requested 
packages, and it does not prevent additional dependency 
packages from being installed. If you wish to skip dependency 
checking altogether, use the ‘–force’ option. This may 
result in an environment with incompatible packages, so this 
option must be used with great caution. 
upgrade Alias for conda update. See conda update –help. 
remove Remove a list of packages from a specified conda environment. 
uninstall Alias for conda remove. See conda remove –help. 
config Modify configuration values in .condarc. This is modeled 
after the git config command. Writes to the user .condarc 
file (C:\Users\Administrator\.condarc)by default. 
clean Remove unused packages and caches. 
package Low-level conda package utility. (EXPERIMENTAL)

在上面顯示資訊中找到config那一行，其 告訴了你的.condarc檔案的路徑，用記事本開啟並刪除-defaults那一行即可。

可正常使用：

C:\Users\Administrator>conda search numpy
Fetching package metadata .....
numpy                        1.6.2                    py26_0  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
                             1.6.2                    py27_0  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
                             1.6.2                    py26_4  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
                             1.6.2                    py27_4  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
                             1.7.0                    py26_0  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
                             1.7.0                    py27_0  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
                             1.7.0                    py33_0  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
                             1.7.1                    py26_0  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
                             1.7.1                    py27_0  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
                             1.7.1                    py33_0  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
                             1.7.1                    py26_1  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
                             1.7.1                    py27_1  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free