BrainPy is a lightweight framework based on the latest Just-In-Time (JIT) compilers (especially Numba). The goal of BrainPy is to provide a unified simulation and analysis framework for neuronal analysis with the feature of high flexibility and efficiency. BrainPy is flexible because it endows the users with the fully data/logic flow control. BrainPy is efficient because it supports JIT acceleration on CPUs and GPUs.
Metadata
Release files for DynamicsPy 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| DynamicsPy-0.1.0.tar.gz | 13.1 kB | Details |
Release files / DynamicsPy-0.1.0.tar.gz
| Download URL | DynamicsPy-0.1.0.tar.gz |
|---|---|
| Size | 13.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cf87b106cd9404dd47da0a9f1a66addef19837397a9f44f1be6b3efcbfac70e1
|
|
BLAKE2b-256 checksum How to use checksums |
eecc7863dc2a915663e238bf2155aced53318e7dbc46d0a8316adb98dfb7f73c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.9
|