Anaconda - Environmental Management

The core function of Conda in Anaconda is package management and environment management. You can install different versions of python as needed and switch freely.


1. Create a new environment

Let's create a new environment named Python 36, and specify that the python version is 3.6, regardless of 3.6.x. conda will automatically find the latest version of 3.6.x for us.

conda create --name python36 python=3.6

The following is a detailed installation process:

Solving environment: done


==> WARNING: A newer version of conda exists. <==
  current version: 4.5.4
  latest version: 4.10.3

Please update conda by running

    $ conda update -n base conda





## Package Plan ##

  environment location: /usr/lib64/anaconda3/envs/python36

  added / updated specs: 
    - python=3.6


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    _libgcc_mutex-0.1          |             main           3 KB
    wheel-0.37.0               |     pyhd3eb1b0_1          31 KB
    libgcc-ng-9.1.0            |       hdf63c60_0         8.1 MB
    libstdcxx-ng-9.1.0         |       hdf63c60_0         4.0 MB
    xz-5.2.5                   |       h7b6447c_0         438 KB
    zlib-1.2.11                |       h7b6447c_3         120 KB
    python-3.6.13              |       h12debd9_1        32.5 MB
    readline-8.1               |       h27cfd23_0         464 KB
    openssl-1.1.1l             |       h7f8727e_0         3.8 MB
    certifi-2021.5.30          |   py36h06a4308_0         141 KB
    setuptools-58.0.4          |   py36h06a4308_0         979 KB
    pip-21.2.2                 |   py36h06a4308_0         2.1 MB
    ld_impl_linux-64-2.35.1    |       h7274673_9         637 KB
    ncurses-6.2                |       he6710b0_1         1.1 MB
    sqlite-3.36.0              |       hc218d9a_0         1.4 MB
    ca-certificates-2021.9.30  |       h06a4308_1         123 KB
    libffi-3.3                 |       he6710b0_2          54 KB
    tk-8.6.11                  |       h1ccaba5_0         3.2 MB
    ------------------------------------------------------------
                                           Total:        59.2 MB

The following NEW packages will be INSTALLED:

    _libgcc_mutex:    0.1-main                
    ca-certificates:  2021.9.30-h06a4308_1    
    certifi:          2021.5.30-py36h06a4308_0
    ld_impl_linux-64: 2.35.1-h7274673_9       
    libffi:           3.3-he6710b0_2          
    libgcc-ng:        9.1.0-hdf63c60_0        
    libstdcxx-ng:     9.1.0-hdf63c60_0        
    ncurses:          6.2-he6710b0_1          
    openssl:          1.1.1l-h7f8727e_0       
    pip:              21.2.2-py36h06a4308_0   
    python:           3.6.13-h12debd9_1       
    readline:         8.1-h27cfd23_0          
    setuptools:       58.0.4-py36h06a4308_0   
    sqlite:           3.36.0-hc218d9a_0       
    tk:               8.6.11-h1ccaba5_0       
    wheel:            0.37.0-pyhd3eb1b0_1     
    xz:               5.2.5-h7b6447c_0        
    zlib:             1.2.11-h7b6447c_3       

Proceed ([y]/n)? 

Downloading and Extracting Packages
_libgcc_mutex-0.1    |    3 KB | ############################################################################## | 100% 
wheel-0.37.0         |   31 KB | ############################################################################## | 100% 
libgcc-ng-9.1.0      |  8.1 MB | ############################################################################## | 100% 
libstdcxx-ng-9.1.0   |  4.0 MB | ############################################################################## | 100% 
xz-5.2.5             |  438 KB | ############################################################################## | 100% 
zlib-1.2.11          |  120 KB | ############################################################################## | 100% 
python-3.6.13        | 32.5 MB | ############################################################################## | 100% 
readline-8.1         |  464 KB | ############################################################################## | 100% 
openssl-1.1.1l       |  3.8 MB | ############################################################################## | 100% 
certifi-2021.5.30    |  141 KB | ############################################################################## | 100% 
setuptools-58.0.4    |  979 KB | ############################################################################## | 100% 
pip-21.2.2           |  2.1 MB | ############################################################################## | 100% 
ld_impl_linux-64-2.3 |  637 KB | ############################################################################## | 100% 
ncurses-6.2          |  1.1 MB | ############################################################################## | 100% 
sqlite-3.36.0        |  1.4 MB | ############################################################################## | 100% 
ca-certificates-2021 |  123 KB | ############################################################################## | 100% 
libffi-3.3           |   54 KB | ############################################################################## | 100% 
tk-8.6.11            |  3.2 MB | ############################################################################## | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use:
# > source activate python36
#
# To deactivate an active environment, use:
# > source deactivate
#

[root@localhost backup]# 
[root@localhost backup]# 

The new environment location called Python 36 is / usr / lib64 / anaconda3 / envs / Python 36
The name and size of the relevant packages to be downloaded are listed. The installation speed here is relatively fast because the anaconda warehouse image was set when Anaconda was installed. Because the Anaconda.org server is abroad, you will find that the download speed of conda is often very slow when you need to install packages. Fortunately, the Tsinghua TUNA image source has the anaconda warehouse image, You need to add it to the configuration of conda.

# Add Anaconda's TUNA image
conda config --add channels https : //mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
# Set the channel address to be displayed when searching
conda config --set show_channel_urls yes

2. View conda environment
  

  conda info

[root@localhost backup]# conda info
     active environment : None
       user config file : /root/.condarc
 populated config files : /root/.condarc
          conda version : 4.5.4
    conda-build version : 3.10.5
         python version : 3.6.5.final.0
       base environment : /usr/lib64/anaconda3  (writable)
           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/lib64/anaconda3/pkgs
                          /root/.conda/pkgs
       envs directories : /usr/lib64/anaconda3/envs
                          /root/.conda/envs
               platform : linux-64
             user-agent : conda/4.5.4 requests/2.18.4 CPython/3.6.5 Linux/3.10.0-327.el7.x86_64 centos/7 glibc/2.17
                UID:GID : 0:0
             netrc file : None
           offline mode : False

[root@localhost backup]#

This command will list all the environment information of conda in detail. You can see that the created new environment is in / usr/lib64/anaconda3/envs /. In fact, you can also view this directory with ls
 

[root@localhost backup]# ls /usr/lib64/anaconda3/envs/
python36

  If it is only used to view the newly created environment, you can use conda info --even or conda -e
 

[root@localhost backup]# conda info --envs
# conda environments:
#
base                  *  /usr/lib64/anaconda3
python36                 /usr/lib64/anaconda3/envs/python36

[root@localhost backup]# conda info -e
# conda environments:
#
base                  *  /usr/lib64/anaconda3
python36                 /usr/lib64/anaconda3/envs/python36

[root@localhost backup]# 

base represents the default environment of conda foundation, and python 36 is the newly created environment.

3. Activate the specified environment

Under linux, the activation environment uses source active xxxxxx. If it is on windows, it uses active xxxxxx,

[root@localhost backup]# source activate python36
(python36) [root@localhost backup]# ll
total 636472
-rwxr-xr-x. 1 root root 651745206 Oct 13 04:44 Anaconda3-5.2.0-Linux-x86_64.sh
(python36) [root@localhost backup]# 

The environment of Python 36 has been activated above, and the name of the current environment is displayed. Let's verify the environment:

(python36) [root@localhost backup]# python
Python 3.6.13 |Anaconda, Inc.| (default, Jun  4 2021, 14:25:59) 
[GCC 7.5.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> 

You can see that the python version in this environment is 3.6.13. When creating the environment in part 1, you downloaded a new Python version, which is python-3.6.13.

Look at the version of pip:

(python36) [root@localhost backup]# pip --version
pip 21.2.2 from /usr/lib64/anaconda3/envs/python36/lib/python3.6/site-packages/pip (python 3.6)
(python36) [root@localhost backup]# 

The version here is pip 21.2.2, which is also the version in the new environment. If a new package is installed, it will be under the python 36 environment.


4. Exit the specified environment

conda deactivate
 

(python36) [root@localhost backup]# conda deactivate
[root@localhost backup]# pip --version
pip 10.0.1 from /usr/lib64/anaconda3/lib/python3.6/site-packages/pip (python 3.6)
[root@localhost backup]# 

After exiting the python 36 environment, check the external pip version. You can see that the version is 10.0.1, indicating that the pip version in the external environment is indeed much lower than that in the new environment Python 36. Therefore, you can see the significance of environmental management.

6. List the packages installed in the specified environment
 

Command: conda list
This command itself lists the packages installed in conda, but the packages installed in the current environment can be listed in the specified microenvironment.
 

(python36) [root@localhost backup]# conda list
# packages in environment at /usr/lib64/anaconda3/envs/python36:
#
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                        main    defaults
ca-certificates           2021.9.30            h06a4308_1    defaults
certifi                   2021.5.30        py36h06a4308_0    defaults
ld_impl_linux-64          2.35.1               h7274673_9    defaults
libffi                    3.3                  he6710b0_2    defaults
libgcc-ng                 9.1.0                hdf63c60_0    defaults
libstdcxx-ng              9.1.0                hdf63c60_0    defaults
ncurses                   6.2                  he6710b0_1    defaults
openssl                   1.1.1l               h7f8727e_0    defaults
pip                       21.2.2           py36h06a4308_0    defaults
python                    3.6.13               h12debd9_1    defaults
readline                  8.1                  h27cfd23_0    defaults
setuptools                58.0.4           py36h06a4308_0    defaults
sqlite                    3.36.0               hc218d9a_0    defaults
tk                        8.6.11               h1ccaba5_0    defaults
wheel                     0.37.0             pyhd3eb1b0_1    defaults
xz                        5.2.5                h7b6447c_0    defaults
zlib                      1.2.11               h7b6447c_3    defaults
(python36) [root@localhost backup]# 

Exit the python 36 environment and look at the package inside conda in the external environment
 

[root@localhost backup]# conda list
# packages in environment at /usr/lib64/anaconda3:
#
# Name                    Version                   Build  Channel
_ipyw_jlab_nb_ext_conf    0.1.0            py36he11e457_0    defaults
alabaster                 0.7.10           py36h306e16b_0    defaults
anaconda                  5.2.0                    py36_3    defaults
anaconda-client           1.6.14                   py36_0    defaults
anaconda-navigator        1.8.7                    py36_0    defaults
anaconda-project          0.8.2            py36h44fb852_0    defaults
asn1crypto                0.24.0                   py36_0    defaults
astroid                   1.6.3                    py36_0    defaults
astropy                   3.0.2            py36h3010b51_1    defaults
attrs                     18.1.0                   py36_0    defaults
babel                     2.5.3                    py36_0    defaults
backcall                  0.1.0                    py36_0    defaults
backports                 1.0              py36hfa02d7e_1    defaults
backports.shutil_get_terminal_size 1.0.0            py36hfea85ff_2    defaults
beautifulsoup4            4.6.0            py36h49b8c8c_1    defaults
bitarray                  0.8.1            py36h14c3975_1    defaults
bkcharts                  0.2              py36h735825a_0    defaults
blas                      1.0                         mkl    defaults
blaze                     0.11.3           py36h4e06776_0    defaults
bleach                    2.1.3                    py36_0    defaults
blosc                     1.14.3               hdbcaa40_0    defaults
bokeh                     0.12.16                  py36_0    defaults
boto                      2.48.0           py36h6e4cd66_1    defaults
bottleneck                1.2.1            py36haac1ea0_0    defaults
bzip2                     1.0.6                h14c3975_5    defaults
ca-certificates           2018.03.07                    0    defaults
cairo                     1.14.12              h7636065_2    defaults
certifi                   2018.4.16                py36_0    defaults
cffi                      1.11.5           py36h9745a5d_0    defaults
chardet                   3.0.4            py36h0f667ec_1    defaults
click                     6.7              py36h5253387_0    defaults
cloudpickle               0.5.3                    py36_0    defaults
clyent                    1.2.2            py36h7e57e65_1    defaults
colorama                  0.3.9            py36h489cec4_0    defaults
conda                     4.5.4                    py36_0    defaults
conda-build               3.10.5                   py36_0    defaults
conda-env                 2.6.0                h36134e3_1    defaults
conda-verify              2.0.0            py36h98955d8_0    defaults
contextlib2               0.5.5            py36h6c84a62_0    defaults
cryptography              2.2.2            py36h14c3975_0    defaults
curl                      7.60.0               h84994c4_0    defaults
cycler                    0.10.0           py36h93f1223_0    defaults
cython                    0.28.2           py36h14c3975_0    defaults
cytoolz                   0.9.0.1          py36h14c3975_0    defaults
dask                      0.17.5                   py36_0    defaults
dask-core                 0.17.5                   py36_0    defaults
datashape                 0.5.4            py36h3ad6b5c_0    defaults
dbus                      1.13.2               h714fa37_1    defaults
decorator                 4.3.0                    py36_0    defaults
distributed               1.21.8                   py36_0    defaults
docutils                  0.14             py36hb0f60f5_0    defaults
entrypoints               0.2.3            py36h1aec115_2    defaults
et_xmlfile                1.0.1            py36hd6bccc3_0    defaults
expat                     2.2.5                he0dffb1_0    defaults
fastcache                 1.0.2            py36h14c3975_2    defaults
filelock                  3.0.4                    py36_0    defaults
flask                     1.0.2                    py36_1    defaults
flask-cors                3.0.4                    py36_0    defaults
fontconfig                2.12.6               h49f89f6_0    defaults
freetype                  2.8                  hab7d2ae_1    defaults
get_terminal_size         1.0.0                haa9412d_0    defaults
gevent                    1.3.0            py36h14c3975_0    defaults
glib                      2.56.1               h000015b_0    defaults
glob2                     0.6              py36he249c77_0    defaults
gmp                       6.1.2                h6c8ec71_1    defaults
gmpy2                     2.0.8            py36hc8893dd_2    defaults
graphite2                 1.3.11               h16798f4_2    defaults
greenlet                  0.4.13           py36h14c3975_0    defaults
gst-plugins-base          1.14.0               hbbd80ab_1    defaults
gstreamer                 1.14.0               hb453b48_1    defaults
h5py                      2.7.1            py36ha1f6525_2    defaults
harfbuzz                  1.7.6                h5f0a787_1    defaults
hdf5                      1.10.2               hba1933b_1    defaults
heapdict                  1.0.0                    py36_2    defaults
html5lib                  1.0.1            py36h2f9c1c0_0    defaults
icu                       58.2                 h9c2bf20_1    defaults
idna                      2.6              py36h82fb2a8_1    defaults
imageio                   2.3.0                    py36_0    defaults
imagesize                 1.0.0                    py36_0    defaults
intel-openmp              2018.0.0                      8    defaults
ipykernel                 4.8.2                    py36_0    defaults
ipython                   6.4.0                    py36_0    defaults
ipython_genutils          0.2.0            py36hb52b0d5_0    defaults
ipywidgets                7.2.1                    py36_0    defaults
isort                     4.3.4                    py36_0    defaults
itsdangerous              0.24             py36h93cc618_1    defaults
jbig                      2.1                  hdba287a_0    defaults
jdcal                     1.4                      py36_0    defaults
jedi                      0.12.0                   py36_1    defaults
jinja2                    2.10             py36ha16c418_0    defaults
jpeg                      9b                   h024ee3a_2    defaults
jsonschema                2.6.0            py36h006f8b5_0    defaults
jupyter                   1.0.0                    py36_4    defaults
jupyter_client            5.2.3                    py36_0    defaults
jupyter_console           5.2.0            py36he59e554_1    defaults
jupyter_core              4.4.0            py36h7c827e3_0    defaults
jupyterlab                0.32.1                   py36_0    defaults
jupyterlab_launcher       0.10.5                   py36_0    defaults
kiwisolver                1.0.1            py36h764f252_0    defaults
lazy-object-proxy         1.3.1            py36h10fcdad_0    defaults
libcurl                   7.60.0               h1ad7b7a_0    defaults
libedit                   3.1.20170329         h6b74fdf_2    defaults
libffi                    3.2.1                hd88cf55_4    defaults
libgcc-ng                 7.2.0                hdf63c60_3    defaults
libgfortran-ng            7.2.0                hdf63c60_3    defaults
libpng                    1.6.34               hb9fc6fc_0    defaults
libsodium                 1.0.16               h1bed415_0    defaults
libssh2                   1.8.0                h9cfc8f7_4    defaults
libstdcxx-ng              7.2.0                hdf63c60_3    defaults
libtiff                   4.0.9                he85c1e1_1    defaults
libtool                   2.4.6                h544aabb_3    defaults
libxcb                    1.13                 h1bed415_1    defaults
libxml2                   2.9.8                h26e45fe_1    defaults
libxslt                   1.1.32               h1312cb7_0    defaults
llvmlite                  0.23.1           py36hdbcaa40_0    defaults
locket                    0.2.0            py36h787c0ad_1    defaults
lxml                      4.2.1            py36h23eabaa_0    defaults
lzo                       2.10                 h49e0be7_2    defaults
markupsafe                1.0              py36hd9260cd_1    defaults
matplotlib                2.2.2            py36h0e671d2_1    defaults
mccabe                    0.6.1            py36h5ad9710_1    defaults
mistune                   0.8.3            py36h14c3975_1    defaults
mkl                       2018.0.2                      1    defaults
mkl-service               1.1.2            py36h17a0993_4    defaults
mkl_fft                   1.0.1            py36h3010b51_0    defaults
mkl_random                1.0.1            py36h629b387_0    defaults
more-itertools            4.1.0                    py36_0    defaults
mpc                       1.0.3                hec55b23_5    defaults
mpfr                      3.1.5                h11a74b3_2    defaults
mpmath                    1.0.0            py36hfeacd6b_2    defaults
msgpack-python            0.5.6            py36h6bb024c_0    defaults
multipledispatch          0.5.0                    py36_0    defaults
navigator-updater         0.2.1                    py36_0    defaults
nbconvert                 5.3.1            py36hb41ffb7_0    defaults
nbformat                  4.4.0            py36h31c9010_0    defaults
ncurses                   6.1                  hf484d3e_0    defaults
networkx                  2.1                      py36_0    defaults
nltk                      3.3.0                    py36_0    defaults
nose                      1.3.7            py36hcdf7029_2    defaults
notebook                  5.5.0                    py36_0    defaults
numba                     0.38.0           py36h637b7d7_0    defaults
numexpr                   2.6.5            py36h7bf3b9c_0    defaults
numpy                     1.14.3           py36hcd700cb_1    defaults
numpy-base                1.14.3           py36h9be14a7_1    defaults
numpydoc                  0.8.0                    py36_0    defaults
odo                       0.5.1            py36h90ed295_0    defaults
olefile                   0.45.1                   py36_0    defaults
openpyxl                  2.5.3                    py36_0    defaults
openssl                   1.0.2o               h20670df_0    defaults
packaging                 17.1                     py36_0    defaults
pandas                    0.23.0           py36h637b7d7_0    defaults
pandoc                    1.19.2.1             hea2e7c5_1    defaults
pandocfilters             1.4.2            py36ha6701b7_1    defaults
pango                     1.41.0               hd475d92_0    defaults
parso                     0.2.0                    py36_0    defaults
partd                     0.3.8            py36h36fd896_0    defaults
patchelf                  0.9                  hf79760b_2    defaults
path.py                   11.0.1                   py36_0    defaults
pathlib2                  2.3.2                    py36_0    defaults
patsy                     0.5.0                    py36_0    defaults
pcre                      8.42                 h439df22_0    defaults
pep8                      1.7.1                    py36_0    defaults
pexpect                   4.5.0                    py36_0    defaults
pickleshare               0.7.4            py36h63277f8_0    defaults
pillow                    5.1.0            py36h3deb7b8_0    defaults
pip                       10.0.1                   py36_0    defaults
pixman                    0.34.0               hceecf20_3    defaults
pkginfo                   1.4.2                    py36_1    defaults
pluggy                    0.6.0            py36hb689045_0    defaults
ply                       3.11                     py36_0    defaults
prompt_toolkit            1.0.15           py36h17d85b1_0    defaults
psutil                    5.4.5            py36h14c3975_0    defaults
ptyprocess                0.5.2            py36h69acd42_0    defaults
py                        1.5.3                    py36_0    defaults
pycodestyle               2.4.0                    py36_0    defaults
pycosat                   0.6.3            py36h0a5515d_0    defaults
pycparser                 2.18             py36hf9f622e_1    defaults
pycrypto                  2.6.1            py36h14c3975_8    defaults
pycurl                    7.43.0.1         py36hb7f436b_0    defaults
pyflakes                  1.6.0            py36h7bd6a15_0    defaults
pygments                  2.2.0            py36h0d3125c_0    defaults
pylint                    1.8.4                    py36_0    defaults
pyodbc                    4.0.23           py36hf484d3e_0    defaults
pyopenssl                 18.0.0                   py36_0    defaults
pyparsing                 2.2.0            py36hee85983_1    defaults
pyqt                      5.9.2            py36h751905a_0    defaults
pysocks                   1.6.8                    py36_0    defaults
pytables                  3.4.3            py36h02b9ad4_2    defaults
pytest                    3.5.1                    py36_0    defaults
pytest-arraydiff          0.2                      py36_0    defaults
pytest-astropy            0.3.0                    py36_0    defaults
pytest-doctestplus        0.1.3                    py36_0    defaults
pytest-openfiles          0.3.0                    py36_0    defaults
pytest-remotedata         0.2.1                    py36_0    defaults
python                    3.6.5                hc3d631a_2    defaults
python-dateutil           2.7.3                    py36_0    defaults
pytz                      2018.4                   py36_0    defaults
pywavelets                0.5.2            py36he602eb0_0    defaults
pyyaml                    3.12             py36hafb9ca4_1    defaults
pyzmq                     17.0.0           py36h14c3975_0    defaults
qt                        5.9.5                h7e424d6_0    defaults
qtawesome                 0.4.4            py36h609ed8c_0    defaults
qtconsole                 4.3.1            py36h8f73b5b_0    defaults
qtpy                      1.4.1                    py36_0    defaults
readline                  7.0                  ha6073c6_4    defaults
requests                  2.18.4           py36he2e5f8d_1    defaults
rope                      0.10.7           py36h147e2ec_0    defaults
ruamel_yaml               0.15.35          py36h14c3975_1    defaults
scikit-image              0.13.1           py36h14c3975_1    defaults
scikit-learn              0.19.1           py36h7aa7ec6_0    defaults
scipy                     1.1.0            py36hfc37229_0    defaults
seaborn                   0.8.1            py36hfad7ec4_0    defaults
send2trash                1.5.0                    py36_0    defaults
setuptools                39.1.0                   py36_0    defaults
simplegeneric             0.8.1                    py36_2    defaults
singledispatch            3.4.0.3          py36h7a266c3_0    defaults
sip                       4.19.8           py36hf484d3e_0    defaults
six                       1.11.0           py36h372c433_1    defaults
snappy                    1.1.7                hbae5bb6_3    defaults
snowballstemmer           1.2.1            py36h6febd40_0    defaults
sortedcollections         0.6.1                    py36_0    defaults
sortedcontainers          1.5.10                   py36_0    defaults
sphinx                    1.7.4                    py36_0    defaults
sphinxcontrib             1.0              py36h6d0f590_1    defaults
sphinxcontrib-websupport  1.0.1            py36hb5cb234_1    defaults
spyder                    3.2.8                    py36_0    defaults
sqlalchemy                1.2.7            py36h6b74fdf_0    defaults
sqlite                    3.23.1               he433501_0    defaults
statsmodels               0.9.0            py36h3010b51_0    defaults
sympy                     1.1.1            py36hc6d1c1c_0    defaults
tblib                     1.3.2            py36h34cf8b6_0    defaults
terminado                 0.8.1                    py36_1    defaults
testpath                  0.3.1            py36h8cadb63_0    defaults
tk                        8.6.7                hc745277_3    defaults
toolz                     0.9.0                    py36_0    defaults
tornado                   5.0.2                    py36_0    defaults
traitlets                 4.3.2            py36h674d592_0    defaults
typing                    3.6.4                    py36_0    defaults
unicodecsv                0.14.1           py36ha668878_0    defaults
unixodbc                  2.3.6                h1bed415_0    defaults
urllib3                   1.22             py36hbe7ace6_0    defaults
wcwidth                   0.1.7            py36hdf4376a_0    defaults
webencodings              0.5.1            py36h800622e_1    defaults
werkzeug                  0.14.1                   py36_0    defaults
wheel                     0.31.1                   py36_0    defaults
widgetsnbextension        3.2.1                    py36_0    defaults
wrapt                     1.10.11          py36h28b7045_0    defaults
xlrd                      1.1.0            py36h1db9f0c_1    defaults
xlsxwriter                1.0.4                    py36_0    defaults
xlwt                      1.3.0            py36h7b00a1f_0    defaults
xz                        5.2.4                h14c3975_4    defaults
yaml                      0.1.7                had09818_2    defaults
zeromq                    4.2.5                h439df22_0    defaults
zict                      0.1.3            py36h3a3bf81_0    defaults
zlib                      1.2.11               ha838bed_2    defaults
[root@localhost backup]# 

You can see that there are many more packages than those in the python 36 environment.


6. Delete the specified environment

Command: conda env remove --name myenv  

Tags: Python Pycharm

Posted on Wed, 13 Oct 2021 22:45:29 -0400 by stuartbrown20