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Installation of C++ for Jupyter enviroment. #50

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Installation of C++ for Jupyter enviroment. #50

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6b93f25
add README.md for C++ environment
Jan 14, 2022
b17ac0d
add notebook to install C++
Jan 14, 2022
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151 changes: 151 additions & 0 deletions custom-environments/C++/1-install-C++.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "9232d034-72b9-49af-9e00-09dbb96c2839",
"metadata": {},
"source": [
"# Use C++ with Studio Lab\n",
"This notebook will demonstrate installing latest C++ vesions and an associated C++ kernel."
]
},
{
"cell_type": "markdown",
"id": "c41f4718-3e17-4275-8268-0caf46e3c241",
"metadata": {},
"source": [
"## 1. install xeus-cling to use C++ at Jupyter"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "b5f97276-37fc-4b37-a0c2-c2479242aba4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting package metadata (current_repodata.json): done\n",
"Solving environment: failed with initial frozen solve. Retrying with flexible solve.\n",
"Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.\n",
"Collecting package metadata (repodata.json): done\n",
"Solving environment: done\n",
"\n",
"\n",
"==> WARNING: A newer version of conda exists. <==\n",
" current version: 4.10.3\n",
" latest version: 4.11.0\n",
"\n",
"Please update conda by running\n",
"\n",
" $ conda update -n base conda\n",
"\n",
"\n",
"\n",
"## Package Plan ##\n",
"\n",
" environment location: /home/studio-lab-user/.conda/envs/default\n",
"\n",
" added / updated specs:\n",
" - xeus-cling\n",
"\n",
"\n",
"The following packages will be downloaded:\n",
"\n",
" package | build\n",
" ---------------------------|-----------------\n",
" python-3.9.9 |h62f1059_0_cpython 27.4 MB conda-forge\n",
" ------------------------------------------------------------\n",
" Total: 27.4 MB\n",
"\n",
"The following NEW packages will be INSTALLED:\n",
"\n",
" binutils_impl_lin~ conda-forge/linux-64::binutils_impl_linux-64-2.36.1-h193b22a_2\n",
" binutils_linux-64 conda-forge/linux-64::binutils_linux-64-2.36-hf3e587d_4\n",
" clang_variant conda-forge/linux-64::clang_variant-1.0-cling_v0.8\n",
" clangdev conda-forge/linux-64::clangdev-5.0.0-h43905f9_1012\n",
" cling conda-forge/linux-64::cling-0.8-hf817b99_1\n",
" cppzmq conda-forge/linux-64::cppzmq-4.8.1-hf7cf922_0\n",
" cxxopts conda-forge/linux-64::cxxopts-2.1.2-h4bd325d_1001\n",
" gcc_impl_linux-64 conda-forge/linux-64::gcc_impl_linux-64-9.4.0-h03d3576_11\n",
" gcc_linux-64 conda-forge/linux-64::gcc_linux-64-9.4.0-h391b98a_4\n",
" gxx_impl_linux-64 conda-forge/linux-64::gxx_impl_linux-64-9.4.0-h03d3576_11\n",
" gxx_linux-64 conda-forge/linux-64::gxx_linux-64-9.4.0-h0316aca_4\n",
" kernel-headers_li~ conda-forge/noarch::kernel-headers_linux-64-2.6.32-he073ed8_15\n",
" libgcc-devel_linu~ conda-forge/linux-64::libgcc-devel_linux-64-9.4.0-hd854feb_11\n",
" libsanitizer conda-forge/linux-64::libsanitizer-9.4.0-h79bfe98_11\n",
" libstdcxx-devel_l~ conda-forge/linux-64::libstdcxx-devel_linux-64-9.4.0-hd854feb_11\n",
" nlohmann_json conda-forge/linux-64::nlohmann_json-3.9.1-h9c3ff4c_1\n",
" pugixml conda-forge/linux-64::pugixml-1.11.4-h9c3ff4c_0\n",
" sysroot_linux-64 conda-forge/noarch::sysroot_linux-64-2.12-he073ed8_15\n",
" xeus conda-forge/linux-64::xeus-2.3.1-hab3612f_0\n",
" xeus-cling conda-forge/linux-64::xeus-cling-0.13.0-h560cc44_2\n",
" xtl conda-forge/linux-64::xtl-0.7.4-h4bd325d_0\n",
"\n",
"The following packages will be DOWNGRADED:\n",
"\n",
" openssl 3.0.0-h7f98852_2 --> 1.1.1l-h7f98852_0\n",
" python 3.9.9-h543edf9_0_cpython --> 3.9.9-h62f1059_0_cpython\n",
"\n",
"\n",
"\n",
"Downloading and Extracting Packages\n",
"python-3.9.9 | 27.4 MB | ##################################### | 100% \n",
"Preparing transaction: done\n",
"Verifying transaction: done\n",
"Executing transaction: done\n"
]
}
],
"source": [
"!conda install xeus-cling -c conda-forge -y"
]
},
{
"cell_type": "markdown",
"id": "612ed598-cacd-4dfe-8b8a-e79816e941ab",
"metadata": {},
"source": [
"## 2. Now you can select Kernel of C++!"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "5c45fc4f-b8b2-4a2d-a482-ac720a5aaab1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello World!\n"
]
}
],
"source": [
"#include <iostream>\n",
"\n",
"std::cout << \"Hello World!\" << std::endl;"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "default:C++17",
"language": "C++17",
"name": "conda-env-default-xcpp17"
},
"language_info": {
"codemirror_mode": "text/x-c++src",
"file_extension": ".cpp",
"mimetype": "text/x-c++src",
"name": "c++",
"version": "17"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
8 changes: 8 additions & 0 deletions custom-environments/C++/README.md
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# Using C++ with Amazon SageMaker Studio Lab

[C++](https://isocpp.org/) is a programming language which is used for general purpose like coding algorithms. It has the features of object-oriented, generic and functional programming.

[Xeus](https://xeus.readthedocs.io/en/latest/) is a library to use C++ kernel for Jupyter. This help us to write C++ in the Jupyter environment very easily.

There are some libraries which can be used for Jupyter environment. If you would like to know anymore, please check this article.
[Interactive Workflows for C++ with Jupyter](https://blog.jupyter.org/interactive-workflows-for-c-with-jupyter-fe9b54227d92)