Installation#
If you are new to Python, we recommend installing nextnano optimizers with the conda package manager. Alternatively, you can use standard Python, with or without a virtual environment.
Download nextnano optimizers distribution
Download the distribution from the nextnano optimizers downloads page and extract it to the convenient location on your computer.
Setting up conda environment (optional)
-
Miniconda is a lightweight version that install only the minimum necessary libraries.
Create and new conda environment with python 3.13
$ conda create -n nnevoEnv python=3.13
Activate newly created conda environment
$ conda activate nnevoEnv
Installing nextnano optimizers
Navigate inside the nextnano_optimizers folder of the distribution and run:
$ pip install --find-links=wheels nextnano_optimizers
This will automatically select the wheel matching your Python version and operating system.
Upgrading nextnano optimizers#
Activate the conda environment
$ conda activate nnevoEnv
Uninstall the current version
$ pip uninstall nextnano_optimizers
Download the new distribution and navigate to its
nextnano_optimizersfolder, then install$ pip install --find-links=wheels nextnano_optimizers
License activation#
The license is activated in the same way as other products, for more details visit License activation page
Requirements#
System requirements are:
Python version: 3.10 - 3.13
Operating system: Windows 64-bit, Linux 64-bit
To run the nextnano optimizers module, you need to:
have a valid license for nextnano optimizers
install nextnano optimizers
prepare configuration file for nextnanopy (see GitHub)