Need nb_conda for Python 3.6

[DavidMertz]

(moved from conda/conda#4539 (comment))

There currently does not seem to be support for nb_conda that is compatible with Python 3.6. This makes it cumbersome to work with Py36 environments that use Jupyter. Or in Jupyter when you need to choose an environment (whichever way you want to look at it).

532-Downloads % conda create -n nb36 python=3.6 jupyter nb_conda
Fetching package metadata .................
Solving package specifications: .

UnsatisfiableError: The following specifications were found to be in conflict:
  - nb_conda -> _nb_ext_conf -> nb_anacondacloud -> python 2.7* -> openssl 1.0.1*
  - python 3.6*
Use "conda info <package>" to see the dependencies for each package.

[schlichtanders]

same here,
this also is the case when installing nb_conda, nbpresent and the like from the anaconda-nb-extensions channel, however the UnsatifiableError is slightly different:

conda install -c anaconda-nb-extensions nbpresent
Fetching package metadata .....................
Solving package specifications: .


UnsatisfiableError: The following specifications were found to be in conflict:
  - nbpresent -> nb_config_manager -> python 3.4*
  - python 3.6*
Use "conda info <package>" to see the dependencies for each package.

[atulsaurav]

Same here...

[jingw222]

Apparently, I'm not alone with this issue...

[fmkoba]

Getting this same error, thanks in advance guys.

[DavidMertz]

conda-forge doesn't help out Anaconda Repo customers who mirror the main repo but not channels (and have firewalls). On Feb 24, 2017 3:58 PM, "Martin Durant" <notifications@github.com> wrote: As far as I understand, conda-forge/nb_conda-feedstock#4 <conda-forge/nb_conda-feedstock#4> should build a py36 conda-forge package automatically. — Yoou are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#1423 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ACRTeY999AQoT1bV1u74udG9ASO_3QtVks5rf0RjgaJpZM4L4e05> .

[akanksha005]

UnsatisfiableError: The following specifications were found to be in conflict:

• nb_conda -> _nb_ext_conf -> nb_anacondacloud -> python 2.7*
• python 3.6*
  Use "conda info " to see the dependencies for each package.
  but when i created environment supporting python 2 then installed nb_conda then it was working..

[RuinedSubmartingale]

I'm joining the bandwagon...getting the same error. Thanks in advance.

[DavidMertz]

I was traveling and didn't have a chance to verify conda-forge, but nb_conda is also not there for the latest Python/Anaconda:

505-tmp % conda install nb_conda -c conda-forge
Fetching package metadata .............
Solving package specifications: .

UnsatisfiableError: The following specifications were found to be in conflict:
  - nb_conda -> python 3.5* -> sqlite 3.9.*
  - nb_conda -> python 3.5* -> xz 5.0.*
  - python 3.6*
Use "conda info <package>" to see the dependencies for each package.

[DavidMertz]

If I were only trying for Python 3.5 I guess this would succeed using conda-forge, but that's not what we need. We need it in the main channel, and also for 3.6.

[bollard]

It seems rather cumbersome to me that the four nb packages (nbpresent, nb_anacondacloud, nb_conda, nb_conda_kernels) depend on one another as we have to wait for all four packages to be updated in order to install the one we may want. As of today, I believe it is just nb_anacondacloud (a package I have no intention of using) which has yet to be updated, but stops me using nb_conda (and thereby Python 3.6).

[ajit555]

I am new to Anaconda. It is on Windows 10 with latest Anaconda 64 bit install.

`
C:\Users\Ajit>conda install nb_conda
Fetching package metadata .............
Solving package specifications: .

UnsatisfiableError: The following specifications were found to be in conflict:

• nb_conda -> _nb_ext_conf -> nb_anacondacloud -> python 2.7*
• python 3.6*
  Use "conda info " to see the dependencies for each package.

C:\Users\Ajit>conda info
Current conda install:

           platform : win-64
      conda version : 4.3.14
   conda is private : False
  conda-env version : 4.3.14
conda-build version : not installed
     python version : 3.6.0.final.0
   requests version : 2.12.4
   root environment : C:\ProgramData\Anaconda3  (writable)
default environment : C:\ProgramData\Anaconda3
   envs directories : C:\ProgramData\Anaconda3\envs
                      C:\Users\Ajit\AppData\Local\conda\conda\envs
                      C:\Users\Ajit\.conda\envs
      package cache : C:\ProgramData\Anaconda3\pkgs
                      C:\Users\Ajit\AppData\Local\conda\conda\pkgs
       channel URLs : https://conda.anaconda.org/anaconda-fusion/win-64
                      https://conda.anaconda.org/anaconda-fusion/noarch
                      https://repo.continuum.io/pkgs/free/win-64
                      https://repo.continuum.io/pkgs/free/noarch
                      https://repo.continuum.io/pkgs/r/win-64
                      https://repo.continuum.io/pkgs/r/noarch
                      https://repo.continuum.io/pkgs/pro/win-64
                      https://repo.continuum.io/pkgs/pro/noarch
                      https://repo.continuum.io/pkgs/msys2/win-64
                      https://repo.continuum.io/pkgs/msys2/noarch
        config file : C:\Users\Ajit\.condarc
       offline mode : False
         user-agent : conda/4.3.14 requests/2.12.4 CPython/3.6.0 Windows/10 Windows/10.0.14393

`

[damianavila]

Packages will be available in the next few weeks. I will let you know when it is done. Thanks.

[znmeb]

does it work for 3.5? If so, I'll just drop back to Miniconda 3.5

[durgeshm]

FWIW, I am creating a 3.5 environment and it works, i.e. it allows me to switch between different environment kernels. e.g.

conda create -n p35 python=3.5 numpy matplotlib nb_conda jupyter

[ghost]

Same here....

UnsatisfiableError: The following specifications were found to be in conflict:

• nb_conda -> _nb_ext_conf -> nb_anacondacloud -> python 2.7* -> openssl 1.0.1*
• python 3.6*
  Use "conda info " to see the dependencies for each package.

[yoavram]

+1

[sinhavartika]

@DavidMertz I am getting the same error.
with conda install nb_conda

UnsatisfiableError: The following specifications were found to be in conflict:
  - nb_conda -> _nb_ext_conf -> nb_anacondacloud -> python 2.7*
  - python 3.6*

with conda install -c conda-forge nb_conda

UnsatisfiableError: The following specifications were found to be in conflict:
  - nb_conda -> python 3.5* -> sqlite 3.9.*
  - nb_conda -> python 3.5* -> xz 5.0.*
  - python 3.6*

Is there any temporary work around for this?

[trmanish]

Create conda env using python 3.5 and it works fine then.

[DavidMertz]

@trmanish: Yes, that is exactly what the bug reports! There's no support for the latest Python. As indicated in all the above comments, there is support for older Python versions.

[stolsvik]

It's kinda strange that the current Anaconda-package for python 3.6 makes you default stuck in this situation. I just installed it, and instantly hit this road block when trying to use jupyter with environments (which everybody tells you to use..)

[damianavila]

All, finally, I have some time to work on this. nb_conda 2.2.0 (latest release) is available through conda-forge, including the solicited py36 support.

[mingwandroid]

@damianavila, putting a package on conda-forge is not a fix for this. conda-forge and the packages from the Anaconda Distribution are not binary compatible.

[damianavila]

@damianavila, putting a package on conda-forge is not a fix for this. conda-forge and the packages from the Anaconda Distribution are not binary compatible.

This extension are no longer shipped with Anaconda by default... so... do you want to have it available from repo.cio before closing this issue? @mingwandroid @csoja

[mingwandroid]

Yes. bugs in anaconda-issues can never be fixed by packages in conda-forge.

[damianavila]

Yes. bugs in anaconda-issues can never be fixed by packages in conda-forge.

Fair enough... sorry for the premature closing. Let's figure out how we can ship the latest release into repo.cio as soon as you (or the team) have time availability.

[drorata]

I could install nb_conda from conda-forge.

[QCaudron]

I also succeeded in installing nb_conda from conda-forge. This solves my immediate problem ( jupyter notebook was using a different IPython kernel, not the one provided by Anaconda ), but it would be fantastic to have this package in the main repo, and installed by default, given that Jupyter comes out of the box.

[oshribr]

Hi all,
i am facing this problem.
I tried to install nb_conda & _nb_ext_conf but without success.

[oshri@analytics ~]$ conda install nb_conda 
Fetching package metadata .........
Solving package specifications: ..........

# All requested packages already installed.
# packages in environment at /data/anaconda:
#
nb_conda                  2.2.0                    py35_0    conda-forge
[oshri@analytics ~]$ conda install _nb_ext_conf 
Fetching package metadata .........
Solving package specifications: ..........

# All requested packages already installed.
# packages in environment at /data/anaconda:
#
_nb_ext_conf              0.3.0                    py35_0  
[oshri@analytics ~]$ conda install python=3.6
Fetching package metadata .........
Solving package specifications: ....


UnsatisfiableError: The following specifications were found to be in conflict:
  - python 3.6*
Use "conda info <package>" to see the dependencies for each package.
[oshri@analytics ~]$ conda install python=3.6
Fetching package metadata .........
Solving package specifications: ....


UnsatisfiableError: The following specifications were found to be in conflict:
  - _nb_ext_conf -> python 2.7*|3.4*|3.5*
  - python 3.6*
Use "conda info <package>" to see the dependencies for each package.
[oshri@analytics ~]$ conda info _nb_ext_conf 
Fetching package metadata .........

_nb_ext_conf 0.2.0 py27_0
-------------------------
file name   : _nb_ext_conf-0.2.0-py27_0.tar.bz2
name        : _nb_ext_conf
version     : 0.2.0
build number: 0
build string: py27_0
channel     : defaults
size        : 1 KB
date        : 2016-06-21
fn          : _nb_ext_conf-0.2.0-py27_0.tar.bz2
license     : BSD
md5         : 8ecf7d2935773091f1444d2b50663a6b
priority    : 1
schannel    : defaults
url         : https://repo.continuum.io/pkgs/free/linux-64/_nb_ext_conf-0.2.0-py27_0.tar.bz2
dependencies:
    nb_anacondacloud
    nb_conda
    nb_conda_kernels
    nbpresent
    notebook >=4.2.0
    python 2.7*

_nb_ext_conf 0.2.0 py34_0
-------------------------
file name   : _nb_ext_conf-0.2.0-py34_0.tar.bz2
name        : _nb_ext_conf
version     : 0.2.0
build number: 0
build string: py34_0
channel     : defaults
size        : 1 KB
date        : 2016-06-21
fn          : _nb_ext_conf-0.2.0-py34_0.tar.bz2
license     : BSD
md5         : ca9cfa8ae7697984ff84ee3a2945ba8b
priority    : 1
schannel    : defaults
url         : https://repo.continuum.io/pkgs/free/linux-64/_nb_ext_conf-0.2.0-py34_0.tar.bz2
dependencies:
    nb_anacondacloud
    nb_conda
    nb_conda_kernels
    nbpresent
    notebook >=4.2.0
    python 3.4*

_nb_ext_conf 0.2.0 py35_0
-------------------------
file name   : _nb_ext_conf-0.2.0-py35_0.tar.bz2
name        : _nb_ext_conf
version     : 0.2.0
build number: 0
build string: py35_0
channel     : defaults
size        : 1 KB
date        : 2016-06-21
fn          : _nb_ext_conf-0.2.0-py35_0.tar.bz2
license     : BSD
md5         : 799225b965114629c760f35b37ef357b
priority    : 1
schannel    : defaults
url         : https://repo.continuum.io/pkgs/free/linux-64/_nb_ext_conf-0.2.0-py35_0.tar.bz2
dependencies:
    nb_anacondacloud
    nb_conda
    nb_conda_kernels
    nbpresent
    notebook >=4.2.0
    python 3.5*

_nb_ext_conf 0.3.0 py27_0
-------------------------
file name   : _nb_ext_conf-0.3.0-py27_0.tar.bz2
name        : _nb_ext_conf
version     : 0.3.0
build number: 0
build string: py27_0
channel     : defaults
size        : 956 B
date        : 2016-08-25
fn          : _nb_ext_conf-0.3.0-py27_0.tar.bz2
license     : BSD
md5         : 5711a814aa8297638bd478f96ce49c57
priority    : 1
schannel    : defaults
url         : https://repo.continuum.io/pkgs/free/linux-64/_nb_ext_conf-0.3.0-py27_0.tar.bz2
dependencies:
    ipywidgets
    nb_anacondacloud
    nb_conda
    nb_conda_kernels
    nbpresent
    notebook >=4.2.0
    python 2.7*

_nb_ext_conf 0.3.0 py34_0
-------------------------
file name   : _nb_ext_conf-0.3.0-py34_0.tar.bz2
name        : _nb_ext_conf
version     : 0.3.0
build number: 0
build string: py34_0
channel     : defaults
size        : 962 B
date        : 2016-08-25
fn          : _nb_ext_conf-0.3.0-py34_0.tar.bz2
license     : BSD
md5         : 99f16ef08ca583fa2845bad74a29fd44
priority    : 1
schannel    : defaults
url         : https://repo.continuum.io/pkgs/free/linux-64/_nb_ext_conf-0.3.0-py34_0.tar.bz2
dependencies:
    ipywidgets
    nb_anacondacloud
    nb_conda
    nb_conda_kernels
    nbpresent
    notebook >=4.2.0
    python 3.4*

_nb_ext_conf 0.3.0 py35_0
-------------------------
file name   : _nb_ext_conf-0.3.0-py35_0.tar.bz2
name        : _nb_ext_conf
version     : 0.3.0
build number: 0
build string: py35_0
channel     : defaults
size        : 966 B
date        : 2016-08-25
fn          : _nb_ext_conf-0.3.0-py35_0.tar.bz2
license     : BSD
md5         : 9c93914955d7cff796260523dece59e7
priority    : 1
schannel    : defaults
url         : https://repo.continuum.io/pkgs/free/linux-64/_nb_ext_conf-0.3.0-py35_0.tar.bz2
dependencies:
    ipywidgets
    nb_anacondacloud
    nb_conda
    nb_conda_kernels
    nbpresent
    notebook >=4.2.0
    python 3.5*
[oshri@analytics ~]$ conda update notebook 
Fetching package metadata .........
Solving package specifications: ..........

# All requested packages already installed.
# packages in environment at /data/anaconda:
#
notebook                  5.0.0                    py35_0    conda-forge                

[damianavila]

@oshribr just get it from conda-forge with conda install -c conda-forge nb_conda.

[oshribr]

@damianavila ;-(

[oshri@analytics ~]$ conda install -c conda-forge nb_conda
Fetching package metadata .........
Solving package specifications: ..........

# All requested packages already installed.
# packages in environment at /data/anaconda:
#
nb_conda                  2.2.0                    py35_0    conda-forge
[oshri@analytics ~]$ conda install python=3.6
Fetching package metadata .........
Solving package specifications: ....


UnsatisfiableError: The following specifications were found to be in conflict:
  - python 3.6*
Use "conda info <package>" to see the dependencies for each package.


[oshri@analytics ~]$ conda install python=3.6
Fetching package metadata .........
Solving package specifications: ....


UnsatisfiableError: The following specifications were found to be in conflict:
  - nb_config_manager -> python 2.7*|3.4*|3.5*
  - python 3.6*
Use "conda info <package>" to see the dependencies for each package.


[oshri@analytics ~]$ conda install python=3.6
Fetching package metadata .........
Solving package specifications: ....


UnsatisfiableError: The following specifications were found to be in conflict:
  - nb_config_manager -> python 2.7*|3.4*|3.5*
  - python 3.6*
Use "conda info <package>" to see the dependencies for each package.

[damianavila]

You have very old extensions there. Suggestion:

conda create -n test python=3.6

and then

source activate test

and finally

conda install -c conda-forge nb_conda

If that works for you, then you should clean you root environments getting rid of the old extensions.

[mingwandroid]

Can we not just get this fixed in defaults? What's currently blocking it?

[ccordoba12]

I think nobody has had the time to create packages for 3.6.

[damianavila]

There are further complications, I will open an issue to describe them and discuss how we solve it properly.

[laserson]

How does one "clean" the root environment?

[damianavila]

How does one "clean" the root environment?

In this case, essentially conda remove ANY extension from your environment. Plus, IF there is some leftover in the activation/enabling step, you probably need to audit some notebook config files (such as PREFIX/etc/jupyter/nbconfig/*).

[bollard]

Over three months since this issue was first opened... are we any closer to a new release in official channels?

[csoja]

Yes - it is high on the list after the upcoming Anaconda v4.4 release. The way the notebook extensions were installed from defaults was different than from conda-forge. The current defaults method requires all the extensions to be updated for Python 3.6 - and not all of them are. We are looking into changing the approach for defaults so that the notebook extensions can be updated individually (including nb_conda).

[bollard]

@csoja, yes separating out the extensions would certainly be my preference (see original comment)

[Odomontois]

What about nbpresent ?

[csoja]

@ilanschnell is updating the extensions in defaults now - these should be available later today. Please let us know if you continue to have issues with them.