In this installment, I will go over how to get started with playing with C++ Programming interactively.
I am going to show you how to setup your environment. This blog post makes the following assumptions:
- The reader has some experience with Jupyter notebooks.
- Familiarity with conda.
Note: Credit goes to Uwe for his excellent blog post on how to setup C++ environment for Apache Arrow
To quote xeus-cling project:
It is preferable to install xeus-cling in a fresh conda environment. It is also needed to use a miniconda installation because with anaconda you can have a conflict with the zeromq library which is already installed with anaconda.
As a start, we create a conda environment with all non-C++ dependencies and also install Jupyter Lab from conda-forge.
# Create a new conda environment conda create -n xeus python=3.6 jupyterlab -c conda-forge source activate xeus
Finally, let's install the actual interactive environment. For the C++ support, we install the interactive C++ compiler cling and the C++ kernel for Jupyter Notebook xeus-cling from the QuantStack channel.
conda install xeus-cling -c QuantStack -c conda-forge
After starting Jupyter Lab with jupyter lab, you should now see two additional kernels: xeus C++11 and xeus C++14. You can use either of them to use write interactive C++ programs.
Now you are ready to start playing with C++ interactively.
Thanks for reading!