# Tensorgrad
## TensorGrad is a Python library that provides useful functionality for working with math, including a tensor class and autograd functionality
TensorGrad is a Python library that provides useful functionality for working with math, including a tensor class and autograd functionality. It is still under development, but it already has a number of features that make it a valuable tool for researchers and developers working with complex mathematical problems.
## Future features
- Tensor class: A powerful and flexible tool for representing and manipulating multidimensional arrays.
- Autograd functionality: Automatically compute the gradients of functions involving tensors.
Raw data
{
"_id": null,
"home_page": "",
"name": "tensorgrad",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "autograd,tensor,linear_algebra,calculus",
"author": "Lukman (Lukman Muhamat)",
"author_email": "<muhamatuululukman@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/f7/10/f97929daa92f19385b8153fec5ce303a376541801e212eada3d1ce568db2/tensorgrad-0.0.4.tar.gz",
"platform": null,
"description": "\n# Tensorgrad\n## TensorGrad is a Python library that provides useful functionality for working with math, including a tensor class and autograd functionality\n\nTensorGrad is a Python library that provides useful functionality for working with math, including a tensor class and autograd functionality. It is still under development, but it already has a number of features that make it a valuable tool for researchers and developers working with complex mathematical problems.\n## Future features\n\n- Tensor class: A powerful and flexible tool for representing and manipulating multidimensional arrays.\n- Autograd functionality: Automatically compute the gradients of functions involving tensors.\n",
"bugtrack_url": null,
"license": "",
"summary": "Python package for working with math with ease",
"version": "0.0.4",
"project_urls": null,
"split_keywords": [
"autograd",
"tensor",
"linear_algebra",
"calculus"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "94f207b6696b6cf91507886445069d1671e85b7079a2c32b4cfef3a42582736c",
"md5": "9a1f8d91a5422f28437266dadfc577d0",
"sha256": "aabcd18cdbdaf7bfa224022df61e9a3053a6ad310e36e2b4cc95dcbaddcfc40a"
},
"downloads": -1,
"filename": "tensorgrad-0.0.4-py3-none-any.whl",
"has_sig": false,
"md5_digest": "9a1f8d91a5422f28437266dadfc577d0",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 4016,
"upload_time": "2023-11-05T08:20:42",
"upload_time_iso_8601": "2023-11-05T08:20:42.581078Z",
"url": "https://files.pythonhosted.org/packages/94/f2/07b6696b6cf91507886445069d1671e85b7079a2c32b4cfef3a42582736c/tensorgrad-0.0.4-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "f710f97929daa92f19385b8153fec5ce303a376541801e212eada3d1ce568db2",
"md5": "3f7dfebb97a8157867394e893219f91e",
"sha256": "523d5257d747333cb55fc0cd10b7619907070fc8a96012668e727c21eb71c4c2"
},
"downloads": -1,
"filename": "tensorgrad-0.0.4.tar.gz",
"has_sig": false,
"md5_digest": "3f7dfebb97a8157867394e893219f91e",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 3620,
"upload_time": "2023-11-05T08:20:44",
"upload_time_iso_8601": "2023-11-05T08:20:44.031768Z",
"url": "https://files.pythonhosted.org/packages/f7/10/f97929daa92f19385b8153fec5ce303a376541801e212eada3d1ce568db2/tensorgrad-0.0.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-11-05 08:20:44",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "tensorgrad"
}
JSON