Kernel Spec

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About 19 results and 8 answers.

Installing the IPython kernel — IPython 8.1.0 documentation

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kernelspec - discovering kernels — jupyter_client 7.1.2

Install a Kernel spec by copying its directory. If Kernel_name is not given, the basename of source_dir will be used. If user is False, it will attempt to install into the systemwide Kernel registry. If the process does not have appropriate permissions, an OSError will be raised. If prefix is given, the Kernelspec will be installed to PREFIX/share/jupyter/Kernels/Kernel_NAME. This can be …

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Kernel/Spec - Fedora Project Wiki


There are a few important macros that we modify often. These are listed below. %global released_Kernel The released_Kernel macro controls whether the rest of the macros and functions are dealing with an upstream released final Kernel version. In the stable Fedora branches, this should almost always be set to 1. This will tell the other macros to use the final ta…

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Tree - rpms/kernel - src.fedoraproject.org

# Kernel has several large (hundreds of mbytes) rpms, they take ~5 mins # to compress by single-threaded xz. Switch to threaded compression, # and from level 2 to 3 to keep compressed sizes close to "w2" results. # # NB: if default compression in …

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GitHub - hbcarlos/parameterize_kernel_specs: Jupyter

Feb 09, 2022 . pip uninstall Kernel_spec In development mode, you will also need to remove the symlink created by jupyter labextension develop command. To find its location, you can run jupyter labextension list to figure out where the labextensions folder is located. Then you can remove the symlink named Kernel-spec within that folder. Packaging the extension

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Making kernels for Jupyter — jupyter_client 7.1.2

Kernel specs ¶. A Kernel identifies itself to IPython by creating a directory, the name of which is used as an identifier for the Kernel. These may be created in a number of locations: Unix. Windows. System. /usr/share/jupyter/Kernels. /usr/local/share/jupyter/Kernels. %PROGRAMDATA%\jupyter\Kernels.

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Building a Custom Kernel :: Fedora Docs

The easiest way to install all the build dependencies for the Kernel is to use the Fedora Kernel spec file: sudo dnf install fedpkg fedpkg clone -a Kernel cd Kernel sudo dnf builddep Kernel.spec If you want to use make xconfig , you’ll need some additional packages:

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Installing the IPython kernel — IPython 8.1.0 documentation

Kernel spec files are JSON files, which can be viewed and changed with a normal text editor. Kernels for different environments ¶ If you want to have multiple IPython Kernels for different virtualenvs or conda environments, you will need to specify unique names for the Kernelspecs. Make sure you have ipyKernel installed in your environment.

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GitHub - ryanwoodsmall/kernel-rpm: kernel spec, config

Kernel-rpm. Kernel spec, config (based on fedora src.rpm) for upstream vanilla Kernel rpms from Kernel.org. built for and run/tested only on centos 7 x86_64.

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Building a custom kernel/Source RPM - Fedora Project Wiki

Sep 19, 2016 . This step makes the necessary changes to the Kernel.spec file. This step is required for building a custom Kernel. 1. Change to the ~/rpmbuild/SPECS directory: $ cd ~/rpmbuild/SPECS. 2. Open the Kernel.spec file for editing. 3. Give the Kernel a unique name. This is important to ensure the custom Kernel is not confused with any released Kernel.

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Jupyter Notebook Kernels: How to Add, Change, Remove

Jul 28, 2019 . Change Kernel namePermalink. 1) Use $ jupyter Kernelspec list to see the folder the Kernel is located in. 2) In that folder, open up file Kernel.json and edit option "display_name". Felipe 28 Jul 2019 08 Aug 2020 jupyter-notebooks scala spark. Disqus Comments.

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Product Specs - Kernel

Product Specifications U.S. Sunflower Kernel : Origin: Sunflower hybrid seed: Flavor: Good, typical, mild, distinctive: Odor: Good, clean, fresh aroma: Texture: Firm, not brittle or soggy: Color: Off-white, gray: Microbiological: Aflatoxin:Negative : Pathogens: Negative: Chemical Additives: No preservatives or chemical additives may be used: Pesticide Residues:

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Kernel Specifications - ambermacs.com

Kernel Specifications AmberMacs Pty. Ltd processes a wide range of Kernel styles and can work with customers to supply specific requirements or combinations of styles. The factory is FSSC22000-certified and FDA accredited and all finished product is vacuum-packed in nitrogen-flushed foil packaging by industry standard weight of 11.34kg per carton box, giving it an 18 …

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Changing Jupyter kernelspec to point to ... - Stack Overflow

Oct 02, 2017 . By default, Kernel specs will go in a system-wide location (e.g. /usr/local/share/jupyter/Kernels). If doing a --user install, the Kernel specs will go in the JUPYTER_DATA_DIR location. For personal sanity and organization, I want the version of Python that I use in the command line to be the same that is accessed in Jupyter.

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CPU Kernel Specs Kaggle

May 06, 2019 . CPU Kernel Specs Python · No attached data sources. CPU Kernel Specs. Notebook. Data. Logs. Comments (2) Run. 16.9s. history Version 1 of 1. Cell link copied. Table of Contents. Overall Specs: chevron_left list_alt. License. This Notebook has been released under the Apache 2.0 open source license. Continue exploring. Data. 1 input and 0 output ...

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File kernel.spec of Package kernel - Open Build Service

Password. Overview; File Kernel.spec of Package Kernel

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Boot Loader Specification - systemd

spec allows for mostly static scripts that are generated only once at first installation, but then do not need to be updated anymore as that is done via drop-in files exclusively. Why not simply rely on the EFI boot menu logic? EFI is not ubiquitous, especially not in embedded systems. system, it provides a boot options logic that can offer similar

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Kernel Module Packages Manual for SUSE Linux Enterprise 12

Feb 15, 2022 . Kernel Module Package spec files define a main package, and a sub-package for each Kernel flavor supported. The Kernel-flavor-specific sub-packages are defined with the %Kernel_module_package RPM macro. The macro automatically determines for which Kernel flavors to generate sub-packages.

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Frequently Asked Questions

  • What are kernel spec files in Python?

    Kernel spec files are JSON files, which can be viewed and changed with a normal text editor. If you want to have multiple IPython Kernels for different virtualenvs or conda environments, you will need to specify unique names for the Kernelspecs.

  • How do I install a kernel spec?

    Install a Kernel spec by copying its directory. If Kernel_name is not given, the basename of source_dir will be used. If user is False, it will attempt to install into the systemwide Kernel registry.

  • What happens if no kernelspec key is found when loading notebooks?

    When loading notebooks, if no matching Kernelspec key (may differ across machines) is found, a Kernel with a matching language will be used. This allows a notebook written on any Python or Julia Kernel to be properly associated with the user’s Python or Julia Kernel, even if they aren’t listed under the same name as the author’s.

  • What is the connection file in Linux kernel specs?

    Your Kernel will be given the path to a connection file when it starts (see Kernel specs for how to specify the command line arguments for your Kernel). This file, which is accessible only to the current user, will contain a JSON dictionary looking something like this:

  • What is the IPython kernel?

    The IPython Kernel is the Python execution backend for Jupyter. The Jupyter Notebook and other frontends automatically ensure that the IPython Kernel is available. However, if you want to use a Kernel with a different version of Python, or in a virtualenv or conda environment, you’ll need to install that manually.

  • How do I install IPython in Python 2?

    IPython 5.x can be installed on Python 2. With pip already installed : This installs IPython as well as its dependencies. If you want to use IPython with notebooks or the Qt console, you should also install Jupyter pip install jupyter.

  • How do I install IPython as a kernel for Jupyter?

    There may be significant differences from the latest stable release. IPython can be installed (different python versions, virtualenv or conda environments) as a Kernel for Jupyter by following these steps: make sure that the desired python installation is active (e.g. activate the environment, or use absolute paths) and ipyKernel is installed

  • What are the requirements to install IPython 6?

    IPython 6 requires Python ≥ 3.3. IPython 5.x can be installed on Python 2. With pip already installed : This installs IPython as well as its dependencies. If you want to use IPython with notebooks or the Qt console, you should also install Jupyter pip install jupyter.

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