xeus-cling | Jupyter kernel for the C++ programming language | Interpreter library

 by   jupyter-xeus C++ Version: 0.15.1 License: BSD-3-Clause

kandi X-RAY | xeus-cling Summary

kandi X-RAY | xeus-cling Summary

xeus-cling is a C++ library typically used in Utilities, Interpreter, Jupyter applications. xeus-cling has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

xeus-cling is a Jupyter kernel for C++ based on the C++ interpreter cling and the native implementation of the Jupyter protocol xeus.
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            kandi-support Support

              xeus-cling has a medium active ecosystem.
              It has 2665 star(s) with 271 fork(s). There are 63 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 148 open issues and 122 have been closed. On average issues are closed in 237 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of xeus-cling is 0.15.1

            kandi-Quality Quality

              xeus-cling has 0 bugs and 0 code smells.

            kandi-Security Security

              xeus-cling has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              xeus-cling code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              xeus-cling is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              xeus-cling releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              It has 55 lines of code, 2 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of xeus-cling
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            xeus-cling Key Features

            No Key Features are available at this moment for xeus-cling.

            xeus-cling Examples and Code Snippets

            No Code Snippets are available at this moment for xeus-cling.

            Community Discussions

            QUESTION

            How to include libgmp to xeus-cling?
            Asked 2022-Feb-08 at 17:08

            I am trying to run the following code:

            ...

            ANSWER

            Answered 2022-Feb-04 at 14:09
            #pragma cling load("libgmpxx.so")
            #pragma cling load("libgmp.so")
            #include 
            

            Source https://stackoverflow.com/questions/70971668

            QUESTION

            Podman/Buildah Install/Use cling-xeus
            Asked 2022-Feb-03 at 23:00

            I am trying to get xeus-cling to work on a OCI image, currently I am using buildah + podman. I run into two problems

            1. I try to create an environment with mamba/conda, however it needs conda/mamba init bash too run then to restart the shell. But its hard to get it to restart while its building, I have tried building multistage images, exit, running /bin/bash. I noticed conda checks too see if certain files are configured in a certain way, including /home/joyvan/.bashrc, I cat'd out the modified .bashrc and COPY'd it too the image -- no dice. activate tells me I need to run init
            2. I have tried installing it without the environment, I keep getting the error
            ...

            ANSWER

            Answered 2022-Jan-14 at 16:38

            Starting from the same image, a minimal working example of Jupyter with xeus-cling kernel capabilities is:

            Dockerfile

            Source https://stackoverflow.com/questions/70707159

            QUESTION

            How can I include OpenBLAS and LAPACK manually in xeus-cling binder?
            Asked 2022-Jan-22 at 17:24

            I'm trying to create a C++ Jupyter Notebook using xeus-cling and mybinder. I wanted to include the library armadillo and I was able to do that locally in a Jupyter Notebook as follows:

            ...

            ANSWER

            Answered 2022-Jan-22 at 17:24

            I suspect you can add an apt.txt configuration file to your repo with the following contents based on here:

            Source https://stackoverflow.com/questions/70801835

            QUESTION

            Xplot for jupyter: "no template named decay_t in namespace std"
            Asked 2021-Jun-21 at 20:45

            I am trying to include a couple xplot files, but I get this very cryptic error message:
            Does anyone know why? I have already installed xplot and xeus-cling via conda.

            ...

            ANSWER

            Answered 2021-Jun-21 at 20:45

            I have just solved this problem: it turns out std::decay_t is only supported in c++14 and later, so I switched my kernel to c++14 and now it works properly.

            Source https://stackoverflow.com/questions/68062168

            QUESTION

            Running C++ Jupiter Notebook in VSCode Insiders
            Asked 2021-Apr-08 at 21:16

            I have installed xeus, xeus-cling and jupyter extension. I changed the kernel to one of the C++ versions, the cell language to C++ but when I click run the cell never outputs. Can someone please help me solve this?

            ...

            ANSWER

            Answered 2021-Apr-08 at 21:16
            Running xeus-cling under vs-code

            Ceus works in the vs-code environment. You have to activate your conda environment and invoke vs-code from it (i use the code insiders edition). In linux this looks like

            Source https://stackoverflow.com/questions/66408814

            QUESTION

            How to: Extend C++14 template function to variadic template, arguments
            Asked 2020-Oct-14 at 05:35

            I'm a returning C++ programmer who has been away from the language for several years (C++11 had just started gaining real traction when I was last active in the language). I've been actively developing data science apps in Python for the past few. As a learning exercise to get back up to speed I decided to implement Python's zip() function in C++14 and now have a working function that can take any two STL (and a few others) containers holding any types and "zip" them into a vector of tuples:

            ...

            ANSWER

            Answered 2020-Oct-14 at 05:35

            Variadic templates have a mechanism not too dissimilar to Python's ability to pass a function positional arguments and to then expand those positional arguments into a sequence of values. C++'s mechanism is a bit more powerful and more pattern based.

            So let's take it from the top. You want to take an arbitrary series of ranges (containers is too limiting):

            Source https://stackoverflow.com/questions/64346603

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install xeus-cling

            xeus-cling has been packaged for the mamba (or conda) package manager on the Linux and OS X platforms. At the moment, we are not providing packages for the Windows platform. To ensure that the installation works, it is preferable to install xeus-cling in a fresh environment. It is also needed to use a miniforge or miniconda installation because with the full anaconda you may have a conflict with the ZeroMQ library which is already installed in the anaconda distribution.
            The safest usage is to create an environment named cling:. Then you can install in this environment xeus-cling and its dependencies.
            You will first need to create a new environment and install the dependencies:.

            Support

            To get started with using xeus-cling, check out the full documentation.
            Find more information at:

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          • HTTPS

            https://github.com/jupyter-xeus/xeus-cling.git

          • CLI

            gh repo clone jupyter-xeus/xeus-cling

          • sshUrl

            git@github.com:jupyter-xeus/xeus-cling.git

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