![]() ![]() It doesn’t seem trivial to get python3 to point back to python 3.5, but that’s probably ok as the target version is 3.4, and it will be worth testing for 3.5 alongside. This means that python3 will run version 3.4.3 by default. I have installed ActiveTcl 8.6.4 and am keeping my fingers crossed that these changes have not broken anything…I have subsequently installed python 3.4.3. Packages into python 2.7 and pip3 installs packages into python 3.5. Perhaps it’s not strictly necessary to follow all steps, but I followed these instructions for Mac OSX to install python 3.5. ![]() See also Installing multiple versions of python is system dependent and also depends on your preferred install method. This choice is overall a weak constraint for developers and big asset for users.Īnaconda is probably the easiest way to install python, especially when several versions are needed. 6, 2021 Download macOS 64-bit universal2 installer Python 3.9. For this “_future_” directives and six module will be used. 14, 2022 Download macOS 64-bit universal2 installer Python 3.10.1 - Dec. It means in practice that the model will be compatible with the last 2.7.x version but is “ready” for Python 3 and later. The target version is Python 3.4+ which is better optimized and is the only supported version in the future (after 2020) with the use of a subset syntax to ensure compatibility with the lastest 2.7.x and PyPy. It is quite likely that operational needs (especially very intensive ones) will require rewritting a selected subset of the model. The model in the framework of the current project mainly aims at exploring new ideas involving the microstructure and tests various modelling solutions. Compilation of the Python code with Numba or Pypy will be considered in case of performance issues later in the project or even more probably after. The performance should not be an issue as the time consuming part of the model should be localized in the RT solver and numerical integrations which uses the highly optimized scipy module facility that basically uses BLAS, LAPACK and MINPACK libraries as would be done in FORTRAN. This enables the model to be modular much more easily, which is a main constraint of the project, allows faster development and an easier exploration of new ideas. Python was chosen because of its growing use in the scientific community and higher flexibility than compiled legacy languages like FORTRAN. Things with the same name – so a reader of the code doesn’t have to goīack to the top of the file to see from which module a given name is So recalling where a particular thing comes from is much easier if it is There are way more classes and functions than there are modules, Note: it’s part of the Google Python style guides thatĪll imports must import a module, not a class or function from that to start, we will use an explicit import at the top of the driver file, making the code more cumbersome, but may later consider a plugin framework to do the import and introspection in a nice way.use “as” with moderation and everyone should agree to use it. ![]() “from smrt import sensor_list” is the best compromise. from blabla import passive should be avoided in SMRT but can be used in user code.from blabla import * should never be used. ![]()
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