Installing Kiwisolver on Python
Kiwisolver is supported on Python 3.7+. Installing it is a straight-forward process. There are three approaches to choose from.
The easy way: Pre-compiled packages
The easiest way to install atom is through pre-compiled packages. Kiwisolver is distributed pre-compiled in two-forms.
If you use the Anaconda Python distribution platform (or Miniconda, its lighter-weight companion), the latest release of Kiwisolver can be installed using conda from the default channel or the conda-forge channel:
$ conda install kiwisolver $ conda install kiwisolver -c conda-forge
If you don’t use Anaconda, you can install Kiwisolver pre-compiled, through PIP, for most common platforms:
$ pip install kiwisolver
Compiling it yourself: The Hard Way
Building Kiwisolver from scratch requires Python and a C++ compiler. On Unix platform getting a C++ compiler properly configured is generally straighforward. On Windows, starting with Python 3.6 the free version of the Microsoft toolchain should work out of the box. Installing Kiwisolver is then as simple as:
$ pip install .
For MacOSX users on OSX Mojave, one needs to set MACOSX_DEPLOYMENT_TARGET to higher than 10.9 to force the compiler to use the new C++ stdlib:
$ export MACOSX_DEPLOYMENT_TARGET=10.10
Kiwisolver is known to run on Windows, OSX, and Linux; and compiles cleanly with MSVC, Clang, GCC, and MinGW. If you encounter a bug, please report it on the Issue Tracker.
Checking your install
Once you installed kiwisolver you should be able to import it as follows:
On Windows, the import may fail with ImportError: DLL load failed. If it does, it means your system is missing the Microsoft Visual C++ redistributable matching your Python version. To fix the issue download and install the package corresponding to your Python version (https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads):
Python 2.7: Visual C++ Redistributable 2008
Python 3.4: Visual C++ Redistributable 2010
Python 3.5+: Visual C++ Redistributable 2015 or more recent