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130 Commits

Author SHA1 Message Date
romainx
f54f36a208 Rollback numba to 0.48 
Dependencies resolution fails with numba `0.49`. I do not know the root cause.
Here is the difference between the two versions.

```bash
$ conda search --info numba

numba 0.48.0 py38hb3f55d8_0
---------------------------
file name   : numba-0.48.0-py38hb3f55d8_0.tar.bz2
name        : numba
version     : 0.48.0
build       : py38hb3f55d8_0
build number: 0
size        : 3.4 MB
license     : BSD 2-clause
subdir      : linux-64
url         : https://conda.anaconda.org/conda-forge/linux-64/numba-0.48.0-py38hb3f55d8_0.tar.bz2
md5         : 580c5132d9f575462db40daf20201ff1
timestamp   : 2020-01-27 17:39:57 UTC
constraints :
  - tbb >=2018.0.5
  - python_abi * *_cp38
dependencies:
  - libgcc-ng >=7.3.0
  - libstdcxx-ng >=7.3.0
  - llvmlite >=0.31.0,<0.32.0a0
  - numpy >=1.14.6,<2.0a0
  - python >=3.8,<3.9.0a0
  - setuptools

numba 0.49.0 py36h0573a6f_0
---------------------------
file name   : numba-0.49.0-py36h0573a6f_0.conda
name        : numba
version     : 0.49.0
build       : py36h0573a6f_0
build number: 0
size        : 3.1 MB
license     : BSD 2-clause
subdir      : linux-64
url         : https://repo.anaconda.com/pkgs/main/linux-64/numba-0.49.0-py36h0573a6f_0.conda
md5         : cdbf81e0d643b5e90441ccf110b97a3d
timestamp   : 2020-04-17 17:08:20 UTC
constraints :
  - tbb >=2018.0.5
dependencies:
  - libgcc-ng >=7.3.0
  - libstdcxx-ng >=7.3.0
  - llvmlite >=0.32.0
  - llvmlite >=0.32.0,<0.33.0a0
  - numpy >=1.14.6,<2.0a0
  - python >=3.6,<3.7.0a0
  - setuptools
  - tbb >=2020.0
 ```
 2020-04-29 12:12:53 +02:00
romainx
d3ef6d89b2 Regular update 2020 W18 
* Bump `base-notebook`
	* OS version
	* `jupyterlab`
* Bump `scipy-notebook`
	* `beautifulsoup4`
	* `cloudpickle`
	* `dask`
	* `numba`
	* `xlrd`: version specified (it was not the case)
* Bump `datascience-notebook`
	* `r-devtools`
	* `r-forecast`
	* Julia version
	* Test added to check if Julia is correctly installed (`julia --version`)
	* Note: A new version of `r-base` is out `4.0.0` however it cannot be installed yet since dependencies with other packages cannot be resolved.
* Bump `r-notebook`
	* Same as `datascience-notebook` except Julia.
* Bump `all-spark-notebook`
	* `r-sparklyr`
 2020-04-29 09:16:28 +02:00
Mark Dean
44fbf93bfd add pytables and bottleneck 2020-04-22 19:41:41 -04:00
romainx
d458afffaf Big upgrade 
- Bump root container version
- Bump  packages of
  - scipy-notebook
  - r-notebook
  - datascience-notebook
- add -y flag to jupyter lab commands in scipy-notebook
- Fix a bug in check outdated packages when packages installed through pip
 2020-04-04 23:04:45 +02:00
Peter Parente
073aee8f84 Merge branch 'master' into lab_clean 2020-03-16 15:29:31 -04:00
romainx
309453fa00 Using jupyter lab clean (#752) 2020-03-15 06:24:56 +01:00
Mark Dean
9cfdc92323 include dvipng 2020-03-12 16:56:56 -04:00
Peter Parente
046a4c311c Loose jupyter-matplotlib pinning for consistency 2020-03-11 08:06:24 -04:00
Mark Dean
14b9d786c8 pin jupyter-matplotlib 2020-03-10 20:02:02 -04:00
Mark Dean
80bf115c80 put back instructions 2020-03-10 11:24:06 -04:00
Mark Dean
607e625407 update jupyterlab and plotting extensions 2020-03-10 11:21:27 -04:00
Mark Dean
f4ceeea454 ipympl version update 2020-02-28 14:59:23 -05:00
Mark
3f83acabaf Merge branch 'master' into master 2020-02-28 20:46:34 +01:00
romainx
163f86cf57 Bump scipy-notebook 2020-02-27 22:57:46 +01:00
Mark Dean
7a2522af86 put version back 2020-02-27 16:46:53 -05:00
Mark Dean
35d30e23a8 put version back 2020-02-27 16:46:04 -05:00
Mark Dean
775e8c9a22 add ipympl 2020-02-27 16:43:37 -05:00
Ben Mares
78fa3df88f bump version numbers and add periods before * 2020-01-27 23:38:05 +01:00
Min RK
75519a5751 Merge pull request #981 from flixr/update-bokeh 
scipy-notebook: update bokeh
 2020-01-21 15:15:05 +01:00
Felix Ruess
fc64a7744a scipy-notebook: update bokeh 2020-01-05 11:43:33 +01:00
Felix Ruess
75543fe76d scipy-notebook: update dask and h5py 2020-01-05 11:42:45 +01:00
Ben Mares
10380edb48 With JupyterLab 1.1, --dev-build=False is no longer necessary. 2019-10-14 21:57:48 +02:00
Richard Darst
8bfffcaa3f Sort package installation lines alphabetically for easier comparison 2019-08-06 10:44:10 +03:00
Richard Darst
78fbbfeaf8 Update all scipy-notebook package versions 
- New versions found with conda --upgrade
 2019-08-02 20:35:12 +03:00
Ben Mares
2d9e7d202e Switch to matplotlib-base to avoid qt dependency, increase version to 3.1 2019-07-29 09:35:52 +02:00
Ben Mares
b38f17df5f bump jupyterlab-manager version to 1.0.1 2019-07-28 22:59:37 +02:00
Ben Mares
eb5c77ee43 Switch JupyterLab from dev build to prod build 2019-07-28 22:26:18 +02:00
Min RK
0fe100ed78 Merge pull request #896 from minrk/conda-47 
conda 4.7.5
 2019-07-16 14:33:49 +02:00
James Brock
7b960e47ef jupyterlab_bokeh@1.0.0, version bump from @0.6.3 2019-07-10 16:37:38 +09:00
Min RK
5eca3cae6c stop removing qt 
it makes the conda env invalid, which causes errors in later installs
 2019-07-09 10:46:25 +02:00
Min RK
0c0601bbe6 bump ipywidgets, widget-manager for jupyterlab 1.0 2019-07-04 14:38:21 +02:00
echowhisky
40c5c07b0a added -f flag to all conda clean commands 
This commit adds the additional `-f` force command to all uses of `conda
clean --all` through the repo. Size should be smaller, but still testing
if anything breaks. See issue #861.
 2019-05-04 19:11:32 +00:00
echowhisky
1f8311a7aa changed -tipsy to --all -y across all files 
The last commit was only for the base-notebook's Dockerfile. For this,
all the files in the repo were grepped through and changed.
 2019-05-04 18:53:49 +00:00
Peter Parente
a772c9ab6b Fix matplotlib version typo 
Getting ahead of myself here ...
 2019-03-07 21:09:54 -05:00
Peter Parente
313ceb794c Update packages in scipy-notebook 2019-03-07 20:33:31 -05:00
John Kirkham
caf8c5c241 Require Dask 1.1 in the scipy-notebook 2019-02-21 22:47:03 -05:00
Felix Ruess
f4d44ca0eb scipy-notebook: update ipywidgets 2019-01-05 20:45:33 +01:00
Tim Ryan
3fc28b67e0 Remove apt-get clean command. Unecessary on official Ubuntu images. 2018-12-17 10:40:58 -05:00
Peter Parente
5b2160dfd9 Merge pull request #760 from mkirch/master 
Update scikit-learn to 0.20.*
 2018-11-15 12:14:26 -05:00
Michael Kirchner
95b325d6bc Update scikit-learn to 0.20.* 2018-11-11 14:55:04 -06:00
Chia-liang Kao
432c3f0047 Update JupyterLab and extensions to 0.35.4 2018-11-09 12:03:59 +08:00
ericdill
9c11f4b8df Revert to lab 0.34.12 and fix associated extensions 2018-10-25 21:09:08 +02:00
Eric Dill
6cf249172d Bump jupyterlab-manager version 2018-10-25 12:04:52 +00:00
graemes
1d763bbac5 Convert FROM specification to ARG (#727) 2018-10-19 18:52:27 +01:00
Peter Parente
e8048a25dc Fix builds by updating to compatible versions 2018-10-18 10:18:52 -04:00
Iyán Méndez Veiga
8fd9b55c18 Update jupyterlab & extensions 2018-08-21 20:24:38 +02:00
Amit Rathi
25181541de Bump up jupyterlab & extensions version 2018-07-31 13:27:07 +05:30
Humza M Shaheen
0b95fd35ff Update version of seaborn to 0.9.X 2018-07-19 11:28:55 +01:00
Min RK
d65fa651e0 bump some packages 
- notebook 5.5
- matplotlib 2.2
- pandas 0.23
- scipy 1.1
- scikit-image 0.14
- statsmodels 0.9
 2018-06-07 10:57:39 +02:00
John Kirkham
06792d930f Use MatchSpec to force blas from conda-forge 
As it appears that `defaults` has added `blas` without a feature, the
`conda` solver appears to be prioritizing the removal of features over
channel priority. As a result, we leverage `MatchSpec` here to pin the
`blas` package to `conda-forge` and the `openblas` feature. This should
be respected by `conda` and thus avoid switching to the incompatible
`blas` package from `defaults`.
 2018-06-02 12:59:10 -07:00