Comments (4)
Thanks for this but it is still actually the same. Do I miss some steps?
c:\xxx> conda install -c kx jupyterq
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- jupyterq -> python[version='>=3.5,<3.6.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0']
Your python: python=3.8
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with your CUDA driver:
- feature:/win-64::__cuda==9.1=0
Your installed CUDA driver is: 9.1
from jupyterq.
Hi @kamchan0
We're presently having some issues deploying the windows builds to Conda, while releasing the jupyterq version we're also releasing an update to embedPy. We've been able to deploy Linux and Mac 3.8 versions so far for embedPy and are working on a fix for the windows deployments. I'll have a member of the team update here by EOD tomorrow with progress if we haven't been able to get a fix in place before then.
All the best,
Conor
from jupyterq.
Hi @kamchan0
This is proving more difficult to change than had been expected. Python 3.8 modified how it provides support for using python in embedded settings in 3.8 as outlined here, we're currently working on a fix but at present do not have a hard timeline on which we expect to have this updated. I'll revert here once we make progress on this matter.
All the best,
Conor
from jupyterq.
Issue closed with release 1.1.8, should now be available via conda install for mac, Linux and windows
from jupyterq.
Related Issues (20)
- Line-wrap Option? HOT 2
- JupyterQ does not connect to the kernel HOT 1
- Instructions to set up kdb kernel properly HOT 13
- embedPy's prints not showing in the notebook HOT 2
- Bqplot - ipywidget error
- Exposure of `%qtconsole` like behaviour within JupyterQ
- IPython.display.Image not returning image HOT 1
- Jupyter server running after shutdown
- VSCode integration HOT 1
- 2 minutes to start a jupyterq kernel HOT 5
- jupyter notebook cannot connect to kdb+ kernel HOT 5
- Use of Seaborn images within JupyterQ not supported
- libpython error when running jupyterq_windows HOT 2
- Problem with conda installation HOT 3
- issue starting qpk kernel on Apple Silicon
- How to assign the license? HOT 1
- Comment shortcut ctrl + / doesn't work for KDB kernel
- Insights key (kc.lic) does not work HOT 1
- RuntimeError: Kernel didn't respond to kernel_info_request and jupyterq_licensemgr not being found
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from jupyterq.