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Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

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I would like to solve a system of coupled non-linear SDEs, which looks like ``` du[i] = f(u[i], t) dt + g(u[i], t) * dW, ``` where `W` is the...

How can I use Progress Bar in python? thanks! I have no idea how to do these in python: using Logging: global_logger using TerminalLoggers: TerminalLogger global_logger(TerminalLogger())

This PR uses julia_project and find_julia to handle installing and managing Julia and Julia packages.

I have a program that spawns a large number of sub-processes and imports `diffeqpy` within each sub-process using: `from diffeqpy import ode` It works fine when the number of sub-processes...

Here is a quick example: https://github.com/jlapeyre/diffeq_julia This handles installing Julia and Julia packages. It allows optionally compiling a system image particular to the diffeq project.

https://cjdoris.github.io/PythonCall.jl/stable/juliacall/#Installation I checked it myself and it does download Julia for you, as claimed (1.7) and its example works. So I tried with your package to see if it worked...

I am changing the issue. It seems to me that "NoiseGrid" and "NoiseFunction from https://diffeq.sciml.ai/stable/features/noise_process/#noise_process do not work in diffeqpy. MWE: ```python from julia import Main Main.eval( """ using Distributions...

I have just installed Julia-1.2 on macOS (version 10.14.6 (18G3020)), and then installed diffeqpy. I tried to import it in a Jupyter notebook with the command `from diffeqpy import de`,...

I was testing the performance of diffeqpy's Tsit5 on Lotka-Volterra and comparing it with scipy's RK45. diffeqpy is always slower 1.5x without Numba and 5x with Numba. Any reason why...

The README [mentions](https://github.com/SciML/diffeqpy#in-place-mutating-form) that this library supports the inplace=True variant of ODEProblem, but does not mention whether inplace=False is supported. - If it is not supported, this issue could be...