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Computer Resources
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8eaa2f88
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8eaa2f88
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4 years ago
by
Michael Blaschek
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Python/QA-003-Conda-Environment.ipynb
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8eaa2f88
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Setting up a user environment with conda\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Currently Loaded Modulefiles:\u001b[m\n",
" 1) miniconda3/4.8.2-gcc-8.3.1-3m7b6t2 \u001b[m\n",
"\u001b[K\u001b[?1l\u001b>"
]
}
],
"source": [
"!module list"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
" active environment : None\n",
" user config file : /jetfs/home/mblaschek/.condarc\n",
" populated config files : /jetfs/home/mblaschek/.condarc\n",
" conda version : 4.8.5\n",
" conda-build version : not installed\n",
" python version : 3.8.1.final.0\n",
" virtual packages : __glibc=2.28\n",
" base environment : /jetfs/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-3m7b6t2kgedyr3jnd2nasmgiq7wm27iv (read only)\n",
" channel URLs : https://repo.anaconda.com/pkgs/main/linux-64\n",
" https://repo.anaconda.com/pkgs/main/noarch\n",
" https://repo.anaconda.com/pkgs/r/linux-64\n",
" https://repo.anaconda.com/pkgs/r/noarch\n",
" package cache : /jetfs/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-3m7b6t2kgedyr3jnd2nasmgiq7wm27iv/pkgs\n",
" /jetfs/home/mblaschek/.conda/pkgs\n",
" envs directories : /jetfs/home/mblaschek/.conda/envs\n",
" /jetfs/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-3m7b6t2kgedyr3jnd2nasmgiq7wm27iv/envs\n",
" platform : linux-64\n",
" user-agent : conda/4.8.5 requests/2.22.0 CPython/3.8.1 Linux/4.18.0-147.el8.x86_64 centos/8.2.2004 glibc/2.28\n",
" UID:GID : 54212:100\n",
" netrc file : None\n",
" offline mode : False\n",
"\n"
]
}
],
"source": [
"!conda info"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting package metadata (current_repodata.json): done\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: 4.8.5\n",
" latest version: 4.9.2\n",
"\n",
"Please update conda by running\n",
"\n",
" $ conda update -n base -c defaults conda\n",
"\n",
"\n",
"\n",
"## Package Plan ##\n",
"\n",
" environment location: /jetfs/home/mblaschek/.conda/envs/myenv\n",
"\n",
" added / updated specs:\n",
" - ipykernel\n",
" - numpy\n",
" - python=3.7\n",
"\n",
"\n",
"The following packages will be downloaded:\n",
"\n",
" package | build\n",
" ---------------------------|-----------------\n",
" certifi-2020.11.8 | py37h06a4308_0 148 KB\n",
" ipython-7.19.0 | py37hb070fc8_0 978 KB\n",
" jupyter_core-4.7.0 | py37h06a4308_0 68 KB\n",
" numpy-1.19.2 | py37h54aff64_0 22 KB\n",
" numpy-base-1.19.2 | py37hfa32c7d_0 4.1 MB\n",
" pexpect-4.8.0 | pyhd3eb1b0_3 53 KB\n",
" pip-20.2.4 | py37h06a4308_0 1.7 MB\n",
" ptyprocess-0.6.0 | pyhd3eb1b0_2 20 KB\n",
" pygments-2.7.2 | pyhd3eb1b0_0 674 KB\n",
" setuptools-50.3.1 | py37h06a4308_1 711 KB\n",
" six-1.15.0 | py37h06a4308_0 27 KB\n",
" wheel-0.35.1 | pyhd3eb1b0_0 38 KB\n",
" ------------------------------------------------------------\n",
" Total: 8.5 MB\n",
"\n",
"The following NEW packages will be INSTALLED:\n",
"\n",
" _libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main\n",
" backcall pkgs/main/noarch::backcall-0.2.0-py_0\n",
" blas pkgs/main/linux-64::blas-1.0-mkl\n",
" ca-certificates pkgs/main/linux-64::ca-certificates-2020.10.14-0\n",
" certifi pkgs/main/linux-64::certifi-2020.11.8-py37h06a4308_0\n",
" decorator pkgs/main/noarch::decorator-4.4.2-py_0\n",
" intel-openmp pkgs/main/linux-64::intel-openmp-2020.2-254\n",
" ipykernel pkgs/main/linux-64::ipykernel-5.3.4-py37h5ca1d4c_0\n",
" ipython pkgs/main/linux-64::ipython-7.19.0-py37hb070fc8_0\n",
" ipython_genutils pkgs/main/linux-64::ipython_genutils-0.2.0-py37_0\n",
" jedi pkgs/main/linux-64::jedi-0.17.2-py37_0\n",
" jupyter_client pkgs/main/noarch::jupyter_client-6.1.7-py_0\n",
" jupyter_core pkgs/main/linux-64::jupyter_core-4.7.0-py37h06a4308_0\n",
" ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.33.1-h53a641e_7\n",
" libedit pkgs/main/linux-64::libedit-3.1.20191231-h14c3975_1\n",
" libffi pkgs/main/linux-64::libffi-3.3-he6710b0_2\n",
" libgcc-ng pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0\n",
" libsodium pkgs/main/linux-64::libsodium-1.0.18-h7b6447c_0\n",
" libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0\n",
" mkl pkgs/main/linux-64::mkl-2020.2-256\n",
" mkl-service pkgs/main/linux-64::mkl-service-2.3.0-py37he904b0f_0\n",
" mkl_fft pkgs/main/linux-64::mkl_fft-1.2.0-py37h23d657b_0\n",
" mkl_random pkgs/main/linux-64::mkl_random-1.1.1-py37h0573a6f_0\n",
" ncurses pkgs/main/linux-64::ncurses-6.2-he6710b0_1\n",
" numpy pkgs/main/linux-64::numpy-1.19.2-py37h54aff64_0\n",
" numpy-base pkgs/main/linux-64::numpy-base-1.19.2-py37hfa32c7d_0\n",
" openssl pkgs/main/linux-64::openssl-1.1.1h-h7b6447c_0\n",
" parso pkgs/main/noarch::parso-0.7.0-py_0\n",
" pexpect pkgs/main/noarch::pexpect-4.8.0-pyhd3eb1b0_3\n",
" pickleshare pkgs/main/linux-64::pickleshare-0.7.5-py37_1001\n",
" pip pkgs/main/linux-64::pip-20.2.4-py37h06a4308_0\n",
" prompt-toolkit pkgs/main/noarch::prompt-toolkit-3.0.8-py_0\n",
" ptyprocess pkgs/main/noarch::ptyprocess-0.6.0-pyhd3eb1b0_2\n",
" pygments pkgs/main/noarch::pygments-2.7.2-pyhd3eb1b0_0\n",
" python pkgs/main/linux-64::python-3.7.9-h7579374_0\n",
" python-dateutil pkgs/main/noarch::python-dateutil-2.8.1-py_0\n",
" pyzmq pkgs/main/linux-64::pyzmq-19.0.2-py37he6710b0_1\n",
" readline pkgs/main/linux-64::readline-8.0-h7b6447c_0\n",
" setuptools pkgs/main/linux-64::setuptools-50.3.1-py37h06a4308_1\n",
" six pkgs/main/linux-64::six-1.15.0-py37h06a4308_0\n",
" sqlite pkgs/main/linux-64::sqlite-3.33.0-h62c20be_0\n",
" tk pkgs/main/linux-64::tk-8.6.10-hbc83047_0\n",
" tornado pkgs/main/linux-64::tornado-6.0.4-py37h7b6447c_1\n",
" traitlets pkgs/main/noarch::traitlets-5.0.5-py_0\n",
" wcwidth pkgs/main/noarch::wcwidth-0.2.5-py_0\n",
" wheel pkgs/main/noarch::wheel-0.35.1-pyhd3eb1b0_0\n",
" xz pkgs/main/linux-64::xz-5.2.5-h7b6447c_0\n",
" zeromq pkgs/main/linux-64::zeromq-4.3.3-he6710b0_3\n",
" zlib pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3\n",
"\n",
"\n",
"\n",
"Downloading and Extracting Packages\n",
"numpy-1.19.2 | 22 KB | ##################################### | 100% \n",
"pip-20.2.4 | 1.7 MB | ##################################### | 100% \n",
"numpy-base-1.19.2 | 4.1 MB | ##################################### | 100% \n",
"certifi-2020.11.8 | 148 KB | ##################################### | 100% \n",
"wheel-0.35.1 | 38 KB | ##################################### | 100% \n",
"ipython-7.19.0 | 978 KB | ##################################### | 100% \n",
"pexpect-4.8.0 | 53 KB | ##################################### | 100% \n",
"pygments-2.7.2 | 674 KB | ##################################### | 100% \n",
"ptyprocess-0.6.0 | 20 KB | ##################################### | 100% \n",
"jupyter_core-4.7.0 | 68 KB | ##################################### | 100% \n",
"setuptools-50.3.1 | 711 KB | ##################################### | 100% \n",
"six-1.15.0 | 27 KB | ##################################### | 100% \n",
"Preparing transaction: done\n",
"Verifying transaction: done\n",
"Executing transaction: done\n",
"#\n",
"# To activate this environment, use\n",
"#\n",
"# $ conda activate myenv\n",
"#\n",
"# To deactivate an active environment, use\n",
"#\n",
"# $ conda deactivate\n",
"\n"
]
}
],
"source": [
"# Create a environment with conda\n",
"!conda create -y -n myenv python=3.7 numpy ipykernel"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Add the new environment to your active kernels\n",
"This way you can choose the kernel from the Jupyterlab launcher."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Installed kernelspec MYENV in /jetfs/home/mblaschek/.local/share/jupyter/kernels/myenv\n"
]
}
],
"source": [
"!~/.conda/envs/myenv/bin/python -m ipykernel install --user --name MYENV --display-name \"Py3.7\""
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Available kernels:\n",
" myenv /jetfs/home/mblaschek/.local/share/jupyter/kernels/myenv\n",
" python3 /jetfs/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-3m7b6t2kgedyr3jnd2nasmgiq7wm27iv/share/jupyter/kernels/python3\n"
]
}
],
"source": [
"# List available Kernels\n",
"!jupyter kernelspec list"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Custom Environment Python Environment"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# Setup a virtual Environment for your Python in the directoy: myfancyenv\n",
"!python -m venv myfancyenv "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"bin include lib lib64 pyvenv.cfg\n"
]
}
],
"source": [
"# Creates a directory with new environment\n",
"!ls myfancyenv/"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[33mWARNING: You are using pip version 19.2.3, however version 20.2.4 is available.\n",
"You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
]
}
],
"source": [
"# Install some package into that environment\n",
"# important is ipykernel to use it within jupyterlab/notebook\n",
"!./myfancyenv/bin/pip -q install numpy scipy pandas ipykernel"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Installed kernelspec fancy in /jetfs/home/mblaschek/.local/share/jupyter/kernels/fancy\n"
]
}
],
"source": [
"# Allow this environment to be available on the LAUNCHERS (+) sign on the left\n",
"!./myfancyenv/bin/python -m ipykernel install --user --name fancy --display-name \"My Python\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Wait a bit and the new python environment should be available on your launchers."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Available kernels:\n",
" fancy /jetfs/home/mblaschek/.local/share/jupyter/kernels/fancy\n",
" myenv /jetfs/home/mblaschek/.local/share/jupyter/kernels/myenv\n",
" python3 /jetfs/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-3m7b6t2kgedyr3jnd2nasmgiq7wm27iv/share/jupyter/kernels/python3\n"
]
}
],
"source": [
"!jupyter kernelspec list"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Finished"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Miniconda3 (4.8.2)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.1"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
%% Cell type:markdown id: tags:
# Setting up a user environment with conda
%% Cell type:code id: tags:
```
python
!
module
list
```
%% Output
Currently Loaded Modulefiles:[m
1) miniconda3/4.8.2-gcc-8.3.1-3m7b6t2 [m
[K[?1l>
%% Cell type:code id: tags:
```
python
!
conda
info
```
%% Output
active environment : None
user config file : /jetfs/home/mblaschek/.condarc
populated config files : /jetfs/home/mblaschek/.condarc
conda version : 4.8.5
conda-build version : not installed
python version : 3.8.1.final.0
virtual packages : __glibc=2.28
base environment : /jetfs/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-3m7b6t2kgedyr3jnd2nasmgiq7wm27iv (read only)
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /jetfs/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-3m7b6t2kgedyr3jnd2nasmgiq7wm27iv/pkgs
/jetfs/home/mblaschek/.conda/pkgs
envs directories : /jetfs/home/mblaschek/.conda/envs
/jetfs/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-3m7b6t2kgedyr3jnd2nasmgiq7wm27iv/envs
platform : linux-64
user-agent : conda/4.8.5 requests/2.22.0 CPython/3.8.1 Linux/4.18.0-147.el8.x86_64 centos/8.2.2004 glibc/2.28
UID:GID : 54212:100
netrc file : None
offline mode : False
%% Cell type:code id: tags:
```
python
# Create a environment with conda
!
conda
create
-
y
-
n
myenv
python
=
3.7
numpy
ipykernel
```
%% Output
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.8.5
latest version: 4.9.2
Please update conda by running
$ conda update -n base -c defaults conda
## Package Plan ##
environment location: /jetfs/home/mblaschek/.conda/envs/myenv
added / updated specs:
- ipykernel
- numpy
- python=3.7
The following packages will be downloaded:
package | build
---------------------------|-----------------
certifi-2020.11.8 | py37h06a4308_0 148 KB
ipython-7.19.0 | py37hb070fc8_0 978 KB
jupyter_core-4.7.0 | py37h06a4308_0 68 KB
numpy-1.19.2 | py37h54aff64_0 22 KB
numpy-base-1.19.2 | py37hfa32c7d_0 4.1 MB
pexpect-4.8.0 | pyhd3eb1b0_3 53 KB
pip-20.2.4 | py37h06a4308_0 1.7 MB
ptyprocess-0.6.0 | pyhd3eb1b0_2 20 KB
pygments-2.7.2 | pyhd3eb1b0_0 674 KB
setuptools-50.3.1 | py37h06a4308_1 711 KB
six-1.15.0 | py37h06a4308_0 27 KB
wheel-0.35.1 | pyhd3eb1b0_0 38 KB
------------------------------------------------------------
Total: 8.5 MB
The following NEW packages will be INSTALLED:
_libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main
backcall pkgs/main/noarch::backcall-0.2.0-py_0
blas pkgs/main/linux-64::blas-1.0-mkl
ca-certificates pkgs/main/linux-64::ca-certificates-2020.10.14-0
certifi pkgs/main/linux-64::certifi-2020.11.8-py37h06a4308_0
decorator pkgs/main/noarch::decorator-4.4.2-py_0
intel-openmp pkgs/main/linux-64::intel-openmp-2020.2-254
ipykernel pkgs/main/linux-64::ipykernel-5.3.4-py37h5ca1d4c_0
ipython pkgs/main/linux-64::ipython-7.19.0-py37hb070fc8_0
ipython_genutils pkgs/main/linux-64::ipython_genutils-0.2.0-py37_0
jedi pkgs/main/linux-64::jedi-0.17.2-py37_0
jupyter_client pkgs/main/noarch::jupyter_client-6.1.7-py_0
jupyter_core pkgs/main/linux-64::jupyter_core-4.7.0-py37h06a4308_0
ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.33.1-h53a641e_7
libedit pkgs/main/linux-64::libedit-3.1.20191231-h14c3975_1
libffi pkgs/main/linux-64::libffi-3.3-he6710b0_2
libgcc-ng pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
libsodium pkgs/main/linux-64::libsodium-1.0.18-h7b6447c_0
libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
mkl pkgs/main/linux-64::mkl-2020.2-256
mkl-service pkgs/main/linux-64::mkl-service-2.3.0-py37he904b0f_0
mkl_fft pkgs/main/linux-64::mkl_fft-1.2.0-py37h23d657b_0
mkl_random pkgs/main/linux-64::mkl_random-1.1.1-py37h0573a6f_0
ncurses pkgs/main/linux-64::ncurses-6.2-he6710b0_1
numpy pkgs/main/linux-64::numpy-1.19.2-py37h54aff64_0
numpy-base pkgs/main/linux-64::numpy-base-1.19.2-py37hfa32c7d_0
openssl pkgs/main/linux-64::openssl-1.1.1h-h7b6447c_0
parso pkgs/main/noarch::parso-0.7.0-py_0
pexpect pkgs/main/noarch::pexpect-4.8.0-pyhd3eb1b0_3
pickleshare pkgs/main/linux-64::pickleshare-0.7.5-py37_1001
pip pkgs/main/linux-64::pip-20.2.4-py37h06a4308_0
prompt-toolkit pkgs/main/noarch::prompt-toolkit-3.0.8-py_0
ptyprocess pkgs/main/noarch::ptyprocess-0.6.0-pyhd3eb1b0_2
pygments pkgs/main/noarch::pygments-2.7.2-pyhd3eb1b0_0
python pkgs/main/linux-64::python-3.7.9-h7579374_0
python-dateutil pkgs/main/noarch::python-dateutil-2.8.1-py_0
pyzmq pkgs/main/linux-64::pyzmq-19.0.2-py37he6710b0_1
readline pkgs/main/linux-64::readline-8.0-h7b6447c_0
setuptools pkgs/main/linux-64::setuptools-50.3.1-py37h06a4308_1
six pkgs/main/linux-64::six-1.15.0-py37h06a4308_0
sqlite pkgs/main/linux-64::sqlite-3.33.0-h62c20be_0
tk pkgs/main/linux-64::tk-8.6.10-hbc83047_0
tornado pkgs/main/linux-64::tornado-6.0.4-py37h7b6447c_1
traitlets pkgs/main/noarch::traitlets-5.0.5-py_0
wcwidth pkgs/main/noarch::wcwidth-0.2.5-py_0
wheel pkgs/main/noarch::wheel-0.35.1-pyhd3eb1b0_0
xz pkgs/main/linux-64::xz-5.2.5-h7b6447c_0
zeromq pkgs/main/linux-64::zeromq-4.3.3-he6710b0_3
zlib pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3
Downloading and Extracting Packages
numpy-1.19.2 | 22 KB | ##################################### | 100%
pip-20.2.4 | 1.7 MB | ##################################### | 100%
numpy-base-1.19.2 | 4.1 MB | ##################################### | 100%
certifi-2020.11.8 | 148 KB | ##################################### | 100%
wheel-0.35.1 | 38 KB | ##################################### | 100%
ipython-7.19.0 | 978 KB | ##################################### | 100%
pexpect-4.8.0 | 53 KB | ##################################### | 100%
pygments-2.7.2 | 674 KB | ##################################### | 100%
ptyprocess-0.6.0 | 20 KB | ##################################### | 100%
jupyter_core-4.7.0 | 68 KB | ##################################### | 100%
setuptools-50.3.1 | 711 KB | ##################################### | 100%
six-1.15.0 | 27 KB | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate myenv
#
# To deactivate an active environment, use
#
# $ conda deactivate
%% Cell type:markdown id: tags:
### Add the new environment to your active kernels
This way you can choose the kernel from the Jupyterlab launcher.
%% Cell type:code id: tags:
```
python
!
~/
.
conda
/
envs
/
myenv
/
bin
/
python
-
m
ipykernel
install
--
user
--
name
MYENV
--
display
-
name
"
Py3.7
"
```
%% Output
Installed kernelspec MYENV in /jetfs/home/mblaschek/.local/share/jupyter/kernels/myenv
%% Cell type:code id: tags:
```
python
# List available Kernels
!
jupyter
kernelspec
list
```
%% Output
Available kernels:
myenv /jetfs/home/mblaschek/.local/share/jupyter/kernels/myenv
python3 /jetfs/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-3m7b6t2kgedyr3jnd2nasmgiq7wm27iv/share/jupyter/kernels/python3
%% Cell type:markdown id: tags:
## Custom Environment Python Environment
%% Cell type:code id: tags:
```
python
# Setup a virtual Environment for your Python in the directoy: myfancyenv
!
python
-
m
venv
myfancyenv
```
%% Cell type:code id: tags:
```
python
# Creates a directory with new environment
!
ls
myfancyenv
/
```
%% Output
bin include lib lib64 pyvenv.cfg
%% Cell type:code id: tags:
```
python
# Install some package into that environment
# important is ipykernel to use it within jupyterlab/notebook
!
.
/
myfancyenv
/
bin
/
pip
-
q
install
numpy
scipy
pandas
ipykernel
```
%% Output
[33mWARNING: You are using pip version 19.2.3, however version 20.2.4 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.[0m
%% Cell type:code id: tags:
```
python
# Allow this environment to be available on the LAUNCHERS (+) sign on the left
!
.
/
myfancyenv
/
bin
/
python
-
m
ipykernel
install
--
user
--
name
fancy
--
display
-
name
"
My Python
"
```
%% Output
Installed kernelspec fancy in /jetfs/home/mblaschek/.local/share/jupyter/kernels/fancy
%% Cell type:markdown id: tags:
Wait a bit and the new python environment should be available on your launchers.
%% Cell type:code id: tags:
```
python
!
jupyter
kernelspec
list
```
%% Output
Available kernels:
fancy /jetfs/home/mblaschek/.local/share/jupyter/kernels/fancy
myenv /jetfs/home/mblaschek/.local/share/jupyter/kernels/myenv
python3 /jetfs/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-3m7b6t2kgedyr3jnd2nasmgiq7wm27iv/share/jupyter/kernels/python3
%% Cell type:markdown id: tags:
### Finished
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