If this is not feasible, then it is possible to run QuTiP under Python 2.7.
The ‘Community’ edition of Visual Studio 2015 is free to download use, however it does require approx 10GB of disk space, much of which does have to be on the system drive. When installing Visual Studio 2015 be sure to select options for the C++ compiler. The Jupyter Notebook automatically ensure that the IPython kernel is available.
Visual Studio 2015 is not required for the install of the conda-forge package, but it is required at runtime for the string format time-dependence solvers. Setting Up IPython Notebook using Anaconda Most Popular Law Newest at Courses. IPython > 4.0 To install IPython and the notebook with conda, use conda install ipython-notebook ipywidgets. With this configuration, one can install QuTiP using any of the above mentioned receipes. Other scientific Python implementations such as Python-xy may also work, but are not supported.Īs of QuTiP 4.1, recommended installation on Windows requires Python 3.5+, as well as Visual Studio 2015. We are recommending and supporting installation of QuTiP into a Conda environment. The only supported installation configuration is using the Conda environment with Python 3.5+ and Visual Studio 2015. for jupyter lab, in anaconda prompt: conda. Installation on Windows has changed substantially as of QuTiP 4.1. Fortunately, there are a number of ways, including Jupyter Notebook extensions, to improve this invaluable tool. We are recommending and supporting Anaconda / Miniconda Python environments for QuTiP on all platforms. The system Python on Linux is used for system things, changing its configuration could lead to highly undesirable results.
We would not recommend installation into the system Python on Linux platforms, as it is likely that the required libraries will be difficult to update to sufficiently recent versions. conda install somepackage: Installs a Python package (replace somepackage by the name of the package you want to install). The currently active one is marked by a star. conda env list: Displays the list of environments installed.
Needed if using LaTeX in matplotlib figures. conda list: Lists all packages installed in the current environment. In addition, there are several optional packages that provide additional functionality: Package conda create -n py27 python2.7 anaconda source activate py27 ipython kernel install source. difficult to make an Anaconda environment available to a Jupyter Notebook. Some plotting does not work on lower versions. (OPTIONAL) To install Python 2.7 as well. By default, conda environments are installed in the users home directory at. The following packages are currently required: Package
QuTiP depends on several open-source libraries for scientific computing in the Python