Introduction
Conda treats Python the same as any other package, so it’s very easy to manage and update multiple python installations under one computer. For instance, if you want to install different version of python in the same window env but without wipe out the current version of python, you can create and activate a new virtual environment with specific name and install your required version of Python as follows instruction.
Install Python 3.5 under Python 2.7
1. install new python with command: $ conda create -n py35 python=3.5 anaconda
2. activate the new setup python with command: $ activate py35
3. deactivate with command: $ deactivate
4. Remove the created env: $ conda remove –name py35 –all
Install Python 2.7 under Python 3.5
1. install new python with command: $ conda create -n py27 python=2.7 anaconda
2. activate the new setup python with command: $ activate py27
3. deactivate with command: $ deactivate
Screen Dump of Deinstallation and Installation as below:
C:Usergoldmanau>conda create -n py27 python=2.7 anaconda
Fetching package metadata: ….
Solving package specifications: ………………………….
Package plan for installation in environment C:UsersgoldmanauAppDataLocalCo
ntinuumAnaconda3envspy27:The following packages will be downloaded:
package | build
—————————|—————–
pandas-0.18.1 | np111py27_0 7.0 MB defaults
pickleshare-0.7.2 | py27_0 9 KB defaults
pytables-3.2.2 | np111py27_4 1.5 MB defaults
scikit-learn-0.17.1 | np111py27_1 3.5 MB defaults
sphinx-1.4.1 | py27_0 1.3 MB defaults
tornado-4.3 | py27_1 543 KB defaults
anaconda-navigator-1.2.1 | py27_0 1.3 MB defaults
bokeh-0.11.1 | py27_0 3.1 MB defaults
flask-cors-2.1.2 | py27_0 15 KB defaults
ipython-4.2.0 | py27_0 981 KB defaults
jupyter_client-4.3.0 | py27_0 138 KB defaults
nbformat-4.0.1 | py27_0 155 KB defaults
odo-0.5.0 | py27_0 216 KB defaults
pyopenssl-0.16.0 | py27_0 66 KB defaults
scikit-image-0.12.3 | np111py27_1 17.6 MB defaults
sockjs-tornado-1.0.3 | py27_0 32 KB defaults
statsmodels-0.6.1 | np111py27_1 4.6 MB defaults
dask-0.10.0 | py27_0 525 KB defaults
ipykernel-4.3.1 | py27_0 117 KB defaults
nbconvert-4.2.0 | py27_0 354 KB defaults
jupyter_console-4.1.1 | py27_0 65 KB defaults
notebook-4.2.1 | py27_0 5.2 MB defaults
qtconsole-4.2.1 | py27_0 203 KB defaults
ipywidgets-4.1.1 | py27_0 98 KB defaults
nb_anacondacloud-1.1.0 | py27_0 20 KB defaults
nb_conda_kernels-1.0.3 | py27_0 28 KB defaults
nbpresent-3.0.2 | py27_0 512 KB defaults
spyder-2.3.9 | py27_0 2.1 MB defaults
jupyter-1.0.0 | py27_3 3 KB defaults
nb_conda-1.1.0 | py27_0 25 KB defaults
_nb_ext_conf-0.2.0 | py27_0 912 B defaults
anaconda-4.1.0 | np111py27_0 16 KB defaults
————————————————————
Total: 51.2 MB
The following NEW packages will be INSTALLED:
_nb_ext_conf: 0.2.0-py27_0 defaults
alabaster: 0.7.8-py27_0 defaults
anaconda: 4.1.0-np111py27_0 defaults
anaconda-client: 1.4.0-py27_0 defaults
anaconda-navigator: 1.2.1-py27_0 defaults
argcomplete: 1.0.0-py27_1 defaults
astropy: 1.2.1-np111py27_0 defaults
babel: 2.3.3-py27_0 defaults
backports: 1.0-py27_0 defaults
backports_abc: 0.4-py27_0 defaults
beautifulsoup4: 4.4.1-py27_0 defaults
bitarray: 0.8.1-py27_1 defaults
bokeh: 0.11.1-py27_0 defaults
boto: 2.40.0-py27_0 defaults
bottleneck: 1.0.0-np111py27_1 defaults
bzip2: 1.0.6-vc9_3 defaults [vc9]
cdecimal: 2.3-py27_2 defaults
cffi: 1.6.0-py27_0 defaults
chest: 0.2.3-py27_0 defaults
click: 6.6-py27_0 defaults
cloudpickle: 0.2.1-py27_0 defaults
clyent: 1.2.2-py27_0 defaults
colorama: 0.3.7-py27_0 defaults
comtypes: 1.1.2-py27_0 defaults
configobj: 5.0.6-py27_0 defaults
configparser: 3.5.0b2-py27_1 defaults
console_shortcut: 0.1.1-py27_1 defaults
contextlib2: 0.5.3-py27_0 defaults
cryptography: 1.4-py27_0 defaults
curl: 7.49.0-vc9_0 defaults [vc9]
cycler: 0.10.0-py27_0 defaults
cython: 0.24-py27_0 defaults
cytoolz: 0.8.0-py27_0 defaults
dask: 0.10.0-py27_0 defaults
datashape: 0.5.2-py27_0 defaults
decorator: 4.0.10-py27_0 defaults
dill: 0.2.5-py27_0 defaults
docutils: 0.12-py27_2 defaults
entrypoints: 0.2.2-py27_0 defaults
enum34: 1.1.6-py27_0 defaults
et_xmlfile: 1.0.1-py27_0 defaults
fastcache: 1.0.2-py27_1 defaults
flask: 0.11.1-py27_0 defaults
flask-cors: 2.1.2-py27_0 defaults
freetype: 2.5.5-vc9_1 defaults [vc9]
funcsigs: 1.0.2-py27_0 defaults
functools32: 3.2.3.2-py27_0 defaults
futures: 3.0.5-py27_0 defaults
get_terminal_size: 1.0.0-py27_0 defaults
gevent: 1.1.1-py27_0 defaults
greenlet: 0.4.10-py27_0 defaults
grin: 1.2.1-py27_3 defaults
h5py: 2.6.0-np111py27_0 defaults
hdf5: 1.8.15.1-vc9_4 defaults [vc9]
heapdict: 1.0.0-py27_1 defaults
idna: 2.1-py27_0 defaults
imagesize: 0.7.1-py27_0 defaults
ipaddress: 1.0.16-py27_0 defaults
ipykernel: 4.3.1-py27_0 defaults
ipython: 4.2.0-py27_0 defaults
ipython_genutils: 0.1.0-py27_0 defaults
ipywidgets: 4.1.1-py27_0 defaults
itsdangerous: 0.24-py27_0 defaults
jdcal: 1.2-py27_1 defaults
jedi: 0.9.0-py27_1 defaults
jinja2: 2.8-py27_1 defaults
jpeg: 8d-vc9_0 defaults [vc9]
jsonschema: 2.5.1-py27_0 defaults
jupyter: 1.0.0-py27_3 defaults
jupyter_client: 4.3.0-py27_0 defaults
jupyter_console: 4.1.1-py27_0 defaults
jupyter_core: 4.1.0-py27_0 defaults
libpng: 1.6.22-vc9_0 defaults [vc9]
libtiff: 4.0.6-vc9_2 defaults [vc9]
llvmlite: 0.11.0-py27_0 defaults
locket: 0.2.0-py27_1 defaults
lxml: 3.6.0-py27_0 defaults
markupsafe: 0.23-py27_2 defaults
matplotlib: 1.5.1-np111py27_0 defaults
menuinst: 1.4.1-py27_0 defaults
mistune: 0.7.2-py27_0 defaults
mkl: 11.3.3-1 defaults
mkl-service: 1.1.2-py27_2 defaults
mpmath: 0.19-py27_1 defaults
multipledispatch: 0.4.8-py27_0 defaults
nb_anacondacloud: 1.1.0-py27_0 defaults
nb_conda: 1.1.0-py27_0 defaults
nb_conda_kernels: 1.0.3-py27_0 defaults
nbconvert: 4.2.0-py27_0 defaults
nbformat: 4.0.1-py27_0 defaults
nbpresent: 3.0.2-py27_0 defaults
networkx: 1.11-py27_0 defaults
nltk: 3.2.1-py27_0 defaults
nose: 1.3.7-py27_1 defaults
notebook: 4.2.1-py27_0 defaults
numba: 0.26.0-np111py27_0 defaults
numexpr: 2.6.0-np111py27_0 defaults
numpy: 1.11.0-py27_2 defaults
odo: 0.5.0-py27_0 defaults
openpyxl: 2.3.2-py27_0 defaults
openssl: 1.0.2h-vc9_0 defaults [vc9]
pandas: 0.18.1-np111py27_0 defaults
partd: 0.3.4-py27_0 defaults
path.py: 8.2.1-py27_0 defaults
pathlib2: 2.1.0-py27_0 defaults
patsy: 0.4.1-py27_0 defaults
pep8: 1.7.0-py27_0 defaults
pickleshare: 0.7.2-py27_0 defaults
pillow: 3.2.0-py27_1 defaults
pip: 8.1.2-py27_0 defaults
ply: 3.8-py27_0 defaults
psutil: 4.3.0-py27_0 defaults
py: 1.4.31-py27_0 defaults
pyasn1: 0.1.9-py27_0 defaults
pycosat: 0.6.1-py27_1 defaults
pycparser: 2.14-py27_1 defaults
pycrypto: 2.6.1-py27_4 defaults
pycurl: 7.43.0-py27_0 defaults
pyflakes: 1.2.3-py27_0 defaults
pygments: 2.1.3-py27_0 defaults
pyopenssl: 0.16.0-py27_0 defaults
pyparsing: 2.1.4-py27_0 defaults
pyqt: 4.11.4-py27_6 defaults
pyreadline: 2.1-py27_0 defaults
pytables: 3.2.2-np111py27_4 defaults
pytest: 2.9.2-py27_0 defaults
python: 2.7.11-5 defaults
python-dateutil: 2.5.3-py27_0 defaults
pytz: 2016.4-py27_0 defaults
pywin32: 220-py27_1 defaults
pyyaml: 3.11-py27_4 defaults
pyzmq: 15.2.0-py27_0 defaults
qt: 4.8.7-vc9_8 defaults [vc9]
qtconsole: 4.2.1-py27_0 defaults
qtpy: 1.0.2-py27_0 defaults
requests: 2.10.0-py27_0 defaults
rope: 0.9.4-py27_1 defaults
ruamel_yaml: 0.11.7-py27_0 defaults
scikit-image: 0.12.3-np111py27_1 defaults
scikit-learn: 0.17.1-np111py27_1 defaults
scipy: 0.17.1-np111py27_1 defaults
setuptools: 23.0.0-py27_0 defaults
simplegeneric: 0.8.1-py27_1 defaults
singledispatch: 3.4.0.3-py27_0 defaults
sip: 4.16.9-py27_2 defaults
six: 1.10.0-py27_0 defaults
snowballstemmer: 1.2.1-py27_0 defaults
sockjs-tornado: 1.0.3-py27_0 defaults
sphinx: 1.4.1-py27_0 defaults
sphinx_rtd_theme: 0.1.9-py27_0 defaults
spyder: 2.3.9-py27_0 defaults
sqlalchemy: 1.0.13-py27_0 defaults
ssl_match_hostname: 3.4.0.2-py27_1 defaults
statsmodels: 0.6.1-np111py27_1 defaults
sympy: 1.0-py27_0 defaults
tk: 8.5.18-vc9_0 defaults [vc9]
toolz: 0.8.0-py27_0 defaults
tornado: 4.3-py27_1 defaults
traitlets: 4.2.1-py27_0 defaults
unicodecsv: 0.14.1-py27_0 defaults
vs2008_runtime: 9.00.30729.1-2 defaults
werkzeug: 0.11.10-py27_0 defaults
wheel: 0.29.0-py27_0 defaults
xlrd: 1.0.0-py27_0 defaults
xlsxwriter: 0.9.2-py27_0 defaults
xlwings: 0.7.2-py27_0 defaults
xlwt: 1.1.2-py27_0 defaults
zlib: 1.2.8-vc9_3 defaults [vc9]
Proceed ([y]/n)? y
Fetching packages …
pandas-0.18.1- 100% |###############################| Time: 0:01:17 94.50 kB/s
pickleshare-0. 100% |###############################| Time: 0:00:00 1.48 MB/s
pytables-3.2.2 100% |###############################| Time: 0:00:15 101.08 kB/s
scikit-learn-0 100% |###############################| Time: 0:00:35 103.10 kB/s
sphinx-1.4.1-p 100% |###############################| Time: 0:00:15 88.76 kB/s
tornado-4.3-py 100% |###############################| Time: 0:00:04 112.43 kB/s
anaconda-navig 100% |###############################| Time: 0:00:13 103.67 kB/s
bokeh-0.11.1-p 100% |###############################| Time: 0:00:38 83.75 kB/s
flask-cors-2.1 100% |###############################| Time: 0:00:00 33.06 kB/s
ipython-4.2.0- 100% |###############################| Time: 0:00:09 106.52 kB/s
jupyter_client 100% |###############################| Time: 0:00:02 61.09 kB/s
nbformat-4.0.1 100% |###############################| Time: 0:00:01 89.78 kB/s
odo-0.5.0-py27 100% |###############################| Time: 0:00:02 76.72 kB/s
pyopenssl-0.16 100% |###############################| Time: 0:00:01 55.44 kB/s
scikit-image-0 100% |###############################| Time: 0:03:35 85.86 kB/s
sockjs-tornado 100% |###############################| Time: 0:00:00 66.93 kB/s
statsmodels-0. 100% |###############################| Time: 0:00:51 92.79 kB/s
dask-0.10.0-py 100% |###############################| Time: 0:00:06 84.35 kB/s
ipykernel-4.3. 100% |###############################| Time: 0:00:01 66.01 kB/s
nbconvert-4.2. 100% |###############################| Time: 0:00:05 68.28 kB/s
jupyter_consol 100% |###############################| Time: 0:00:01 45.59 kB/s
notebook-4.2.1 100% |###############################| Time: 0:00:53 100.82 kB/s
qtconsole-4.2. 100% |###############################| Time: 0:00:02 72.55 kB/s
ipywidgets-4.1 100% |###############################| Time: 0:00:01 86.14 kB/s
nb_anacondaclo 100% |###############################| Time: 0:00:00 37.88 kB/s
nb_conda_kerne 100% |###############################| Time: 0:00:00 67.10 kB/s
nbpresent-3.0. 100% |###############################| Time: 0:00:04 112.47 kB/s
spyder-2.3.9-p 100% |###############################| Time: 0:00:26 81.65 kB/s
jupyter-1.0.0- 100% |###############################| Time: 0:00:00 0.00 B/s
nb_conda-1.1.0 100% |###############################| Time: 0:00:00 61.82 kB/s
_nb_ext_conf-0 100% |###############################| Time: 0:00:00 0.00 B/s
anaconda-4.1.0 100% |###############################| Time: 0:00:00 40.15 kB/s
Extracting packages …
[ COMPLETE ]|##################################################| 100%
Linking packages …
1 file(s) copied.#################### | 44%
[ COMPLETE ]|##################################################| 100%
#
# To activate this environment, use:
# > activate py27 |
C:Usersgoldmanau>conda remove –name py27 –all
Fetching package metadata: ….Package plan for package removal in environment C:UsersgoldmanauAppDataLocal
ContinuumAnaconda3envspy27:
The following packages will be REMOVED:
menuinst: 1.4.1-py27_0 defaults
Proceed ([y]/n)? y |
Reference Doc Link
http://conda.pydata.org/docs/py2or3.html
