Installation using Conda
Contents
Installation using Conda#
Reaktoro can be easily installed using Conda, a powerful package manager used to simplify Reaktoro’s installation and the management of its external software dependencies. Once you install Conda, and append the necessary channels, you’ll be able to install Reaktoro by just executing the following command in your terminal:
conda install reaktoro
Follow the Conda installation steps shown next before you execute this command!
Installing Conda#
Conda can be installed by installing either
Anaconda or
Miniconda. We recommend the installation of
Miniconda, unless you already have Anaconda installed or you think you need
thousands of software packages that ship with it! Miniconda is just a tiny
a subset of Anaconda containing only our needed conda
application and its
dependencies.
Download the appropriate Miniconda Installer for your system. You’ll be able to choose installers for Windows, macOS, and Linux (32-bit or 64-bit). We recommend the latest 64-bit Miniconda installer for your operating system.
Adding conda-forge channel#
The Reaktoro pre-built package reaktoro
is hosted on
conda-forge. After installing
Miniconda, go to a terminal and execute:
conda config --add channels conda-forge
to add the conda-forge channel, required so that the Reaktoro package
reaktoro
can be found.
All should now be set to install Reaktoro using:
conda install reaktoro
but you may want to follow the recommendation in the next section to install Reaktoro in a new conda environment instead of the default base
environment.
Installing Reaktoro in a new conda environment (recommended)#
Now that you have conda
installed, either via Anaconda or Miniconda, you may
want to create a conda environment in which the Python package reaktoro
is
installed together with its dependencies.
This way, you avoid installing reaktoro
in the base
conda environment,
which is an environment you should try to keep intact as much as possible.
The command below will create a conda environment named rkt
and install
reaktoro
in it, along with all its dependencies.
conda create --name rkt reaktoro
After executing the command above, you should get an output similar to the following:
(base) ~$ conda create --name rkt reaktoro
Collecting package metadata (current_repodata.json): done
Solving environment: done
# Package Plan #
environment location: /home/allanleal/miniconda3/envs/rkt
added / updated specs:
- reaktoro
The following NEW packages will be INSTALLED:
_libgcc_mutex conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge
_openmp_mutex conda-forge/linux-64::_openmp_mutex-4.5-1_gnu
autodiff conda-forge/linux-64::autodiff-0.6.4-py39h38e655e_0
ca-certificates conda-forge/linux-64::ca-certificates-2021.10.8-ha878542_0
eigen4rkt conda-forge/linux-64::eigen4rkt-3.3.904-h4bd325d_0
ld_impl_linux-64 conda-forge/linux-64::ld_impl_linux-64-2.36.1-hea4e1c9_2
libblas conda-forge/linux-64::libblas-3.9.0-12_linux64_openblas
libcblas conda-forge/linux-64::libcblas-3.9.0-12_linux64_openblas
libffi conda-forge/linux-64::libffi-3.4.2-h9c3ff4c_4
libgcc-ng conda-forge/linux-64::libgcc-ng-11.2.0-h1d223b6_11
libgfortran-ng conda-forge/linux-64::libgfortran-ng-11.2.0-h69a702a_11
libgfortran5 conda-forge/linux-64::libgfortran5-11.2.0-h5c6108e_11
libgomp conda-forge/linux-64::libgomp-11.2.0-h1d223b6_11
liblapack conda-forge/linux-64::liblapack-3.9.0-12_linux64_openblas
libopenblas conda-forge/linux-64::libopenblas-0.3.18-pthreads_h8fe5266_0
libstdcxx-ng conda-forge/linux-64::libstdcxx-ng-11.2.0-he4da1e4_11
libzlib conda-forge/linux-64::libzlib-1.2.11-h36c2ea0_1013
ncurses conda-forge/linux-64::ncurses-6.2-h58526e2_4
nlohmann_json conda-forge/linux-64::nlohmann_json-3.10.3-h9c3ff4c_0
numpy conda-forge/linux-64::numpy-1.21.3-py39hdbf815f_0
openssl conda-forge/linux-64::openssl-3.0.0-h7f98852_1
optima conda-forge/linux-64::optima-0.2.3-py39h9da6136_0
phreeqc4rkt conda-forge/linux-64::phreeqc4rkt-3.6.2.1-h4bd325d_1
pip conda-forge/noarch::pip-21.3.1-pyhd8ed1ab_0
pugixml conda-forge/linux-64::pugixml-1.11.4-h9c3ff4c_0
pybind11-abi conda-forge/noarch::pybind11-abi-4-hd8ed1ab_3
python conda-forge/linux-64::python-3.9.7-hf930737_3_cpython
python_abi conda-forge/linux-64::python_abi-3.9-2_cp39
readline conda-forge/linux-64::readline-8.1-h46c0cb4_0
reaktoro conda-forge/linux-64::reaktoro-2.0.0rc7-py39h9da6136_0
setuptools conda-forge/linux-64::setuptools-58.2.0-py39hf3d152e_0
sqlite conda-forge/linux-64::sqlite-3.36.0-h9cd32fc_2
thermofun conda-forge/linux-64::thermofun-0.3.8-py39hde0f152_0
tk conda-forge/linux-64::tk-8.6.11-h27826a3_1
tzdata conda-forge/noarch::tzdata-2021e-he74cb21_0
wheel conda-forge/noarch::wheel-0.37.0-pyhd8ed1ab_1
xz conda-forge/linux-64::xz-5.2.5-h516909a_1
yaml-cpp4rkt conda-forge/linux-64::yaml-cpp4rkt-0.6.4.2-h4bd325d_2
zlib conda-forge/linux-64::zlib-1.2.11-h36c2ea0_1013
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate rkt
#
# To deactivate an active environment, use
#
# $ conda deactivate
You should now activate the rkt
environment by executing:
conda activate rkt
Note
Before running python scripts in which reaktoro
package is used, ensure the conda environment containing reaktoro
has been previously activated.
Note
In the activated rkt
environment, you can install additional libraries using conda install
or pip install
:
conda install pandas
pip install numba
Updating Reaktoro using Conda#
You should update Reaktoro frequently to take advantage of new features and improvements as they are released. It’s also important to consider that the errors you experience may be the result of using an older version that doesn’t contain a capability that you recently learned about on this website.
Assuming you’ve installed the reaktoro
package in the recommended rkt
conda environment, please execute the following commands in the terminal to update it:
conda activate rkt
conda update reaktoro
Double-check that the updated version is the latest available version of Reaktoro. If not, you might want to run the following command:
conda install reaktoro=X.Y.Z
where X.Y.Z
is the latest version.
It may happen that conda refuses to update reaktoro
to its latest version. This refusal can happen if you have installed additional packages in the rkt
environment that potentially conflict with the latest version of reaktoro
. In this case, you might want to remove the rkt
environment and create it from scratch:
conda env remove --name rkt
conda create --name rkt reaktoro
Alternatively, you can create a new conda environment (e.g. rkt-latest
) with the latest version of Reaktoro installed by default:
conda create --name rkt-latest reaktoro
In this case, remember to activate the rkt-latest
conda environment when using Reaktoro and not rkt
!
Please help me install Reaktoro!#
If you are having difficulties installing Reaktoro via conda
, contact
us