jupyter-notebook

问题 I am just trying to understand why my jupyter installation does not require me to run '%matplotlib inline' (which, according to everything I've read, I should have to run that to get my plots inline in my jupyter notebook). But the fact is, my matplotlib plots appear inline in my notebook whether I run '%matplotlib inline' or not. I am running an anaconda install of jupyter on ubuntu under WSL, using chrome as the client to my notebook server. jupyter --version 4.4.0 and jupyter-notebook -

问题 I installed opencv version 3.4.4, installed cntk,Importing into google collab gives the following results. import cntk as C /usr/local/lib/python3.6/dist-packages/cntk/cntk_py_init.py:56: UserWarning: Unsupported Linux distribution (ubuntu-18.04). CNTK supports Ubuntu 16.04 and above, only. warnings.warn('Unsupported Linux distribution (%s-%s). CNTK supports Ubuntu 16.04 and above, only.' % (__my_distro__, __my_distro_ver__)) /usr/local/lib/python3.6/dist-packages/cntk/cntk_py_init.py:102:

问题 So I was following a tutorial to connect to my jupyter notebook which is running on my remote server so that I can access it on my local windows machine. These were the steps that I followed. On my remote server : jupyter notebook --no-browser --port=8889 Then on my local machine ssh -N -f -L localhost:8888:localhost:8889 *******@**********.de.bosch.com But I am getting an error CreateProcessW failed error:2 ssh_askpass: posix_spawn: No such file or directory Host key verification failed. How

问题 So I was following a tutorial to connect to my jupyter notebook which is running on my remote server so that I can access it on my local windows machine. These were the steps that I followed. On my remote server : jupyter notebook --no-browser --port=8889 Then on my local machine ssh -N -f -L localhost:8888:localhost:8889 *******@**********.de.bosch.com But I am getting an error CreateProcessW failed error:2 ssh_askpass: posix_spawn: No such file or directory Host key verification failed. How

问题 I got error TypeError: slice indices must be integers or None or have an __index__ method and searched for a solution and got that i need to downgrade the version of numpy , then tried to use this command python import numpy numpy.__version__ and got >>> numpy.__version__ '1.14.5' but when i used pip show numpy Name: numpy Version: 1.11.0 Summary: NumPy: array processing for numbers, strings, records, and objects. Home-page: http://www.numpy.org Author: NumPy Developers Author-email: numpy

问题 I got error TypeError: slice indices must be integers or None or have an __index__ method and searched for a solution and got that i need to downgrade the version of numpy , then tried to use this command python import numpy numpy.__version__ and got >>> numpy.__version__ '1.14.5' but when i used pip show numpy Name: numpy Version: 1.11.0 Summary: NumPy: array processing for numbers, strings, records, and objects. Home-page: http://www.numpy.org Author: NumPy Developers Author-email: numpy

问题 I installed Jupyter notebook using pip3 on OSX. Later, I realised, I should do it through anaconda because it has loads of libraries which I need for my on-line study. So I was about trying to uninstall jupyter, then install anaconda. I see many questions when people messed up uninstall jupyter notebook. So I want to do it correct way. I wanted to do this way $ pip install pip-autoremove $ pip-autoremove jupyter -y or may be using pip3 instead, anyway, does anyone know if it is the right way

问题 I installed Jupyter notebook using pip3 on OSX. Later, I realised, I should do it through anaconda because it has loads of libraries which I need for my on-line study. So I was about trying to uninstall jupyter, then install anaconda. I see many questions when people messed up uninstall jupyter notebook. So I want to do it correct way. I wanted to do this way $ pip install pip-autoremove $ pip-autoremove jupyter -y or may be using pip3 instead, anyway, does anyone know if it is the right way

问题 I'm using Jupyterlab for my datascience studies. Everything is Ok with this new tool, but some process as GridSearchCV has long logs and this results pollutes the notebook. There is a way to active scroll bars to avoid this like in traditional Jupyter notebooks ? 回答1: You have a few options: Right click on cell's output -> "Enable Scrolling for Outputs". This will limit output view's height and enable scrolling, like in the classic notebook. Right click on cell's output -> "Create New Output

问题 I'm using Jupyterlab for my datascience studies. Everything is Ok with this new tool, but some process as GridSearchCV has long logs and this results pollutes the notebook. There is a way to active scroll bars to avoid this like in traditional Jupyter notebooks ? 回答1: You have a few options: Right click on cell's output -> "Enable Scrolling for Outputs". This will limit output view's height and enable scrolling, like in the classic notebook. Right click on cell's output -> "Create New Output