IJava | A Jupyter kernel for executing Java code | Code Editor library
kandi X-RAY | IJava Summary
kandi X-RAY | IJava Summary
A Jupyter kernel for executing Java code. The kernel executes code via the new JShell tool. Some of the additional commands should be supported as needed via a syntax similar to the ipython magics. The kernel is fully functional. Check out the list of features further down in the README. Any requests for new ones or prioritizing current requests are welcomed in the issues along with bug requests, installation help, or other questions. If you are interested in building your own kernel that runs on the JVM check out the related project that this kernel is build on, jupyter-jvm-basekernel.
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Top functions reviewed by kandi - BETA
- Default resolver for maven - local
- Read the local repository path
- Returns the local repository path
- Replace maven variables in the given raw text
- Overrides the default implementation of this class
- Format a compilation exception
- Format an Unresolved reference exception
- Displays an object
- Displays the given object
- Update display for given object id
- Update display by id
- Completes suggestions
- Retrieves a unique key for the object
- Adds the classpath from a string
- Runs the line magic
- Run cell magic
- Add a Maven Repository
- Resolves the arguments
- Get classpath
- Introspects the given code position within the given identifier
- Compares the given paths for startup
- Build the JShell
- Adds maven dependencies
- Load startup script from an input stream
- Generates the execution control
- Creates a kernel connection
IJava Key Features
IJava Examples and Code Snippets
Community Discussions
Trending Discussions on IJava
QUESTION
I am trying to use java in jupyter notebook using SpencerPark IJava.
After the successful installations I opened a new java notebook but it is not connecting with the jupyter notebook.
I tried running this command given on the official docs of SpencerPark IJava in anaconda prompt
...ANSWER
Answered 2021-Mar-14 at 01:38IJava is compiled for java 9 (as this is the version that introduces JShell). This means the kernel needs to run on a JVM that is version 9 or higher. That is what the Unsupported major.minor version 53.0
is suggesting.
Typically users that run into this problem have installed a correct version but they have an older JVM that is being used instead of their newly installed one. There are 2 options to fix this:
Tell Jupyter exactly what version of java to start the kernel with by changing the
kernel.json
:Execute
jupyter kernelspec list
to find the install directory of the kernel.
QUESTION
I would like to run java in colab.
I successfully installed ijava and reloaded the page, but the "change runtime type" option does not show.
In this case, how do I switch from Python to Java kernel? Is there a command line trick by which I could manage to do it?
This is my colab link: https://colab.research.google.com/drive/1XyVBfMJ3m23IsDVjPER7G-UZ0vd4gT2c?usp=sharing
Thank you.
...ANSWER
Answered 2020-Oct-26 at 14:01The only way to change to ijava
is to download the notebook. Open it with a text editor and edit it manually.
So normally, you would use a pre-edited notebook. At the start, it cannot find ijava
so it will use python3. After you install ijava
, and reload, it will then use ijava
.
Here's a shortcut to a pre-edited ijava notebook
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install IJava
You can use IJava like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the IJava component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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