A symbolic differentiation library.
Project description
diffstep
This is a library for Algorithmic Differentiation.
Information about this repository
This is the repository that you are going to use individually for developing your project. Please use the resources provided in the module to learn about plagiarism and how plagiarism awareness can foster your learning.
Regarding the use of this repository, once a feature (or part of it) is developed and working or parts of your system are integrated and working, define a commit and push it to the remote repository. You may find yourself making a commit after a productive hour of work (or even after 20 minutes!), for example. Choose commit message wisely and be concise.
Please choose the structure of the contents of this repository that suits the needs of your project but do indicate in this file where the main software artefacts are located.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file diffstep-1.1.3.tar.gz.
File metadata
- Download URL: diffstep-1.1.3.tar.gz
- Upload date:
- Size: 9.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fde991518bf8aa09ce27d92413b945350924a12c913a341854adb19f600eb1e8
|
|
| MD5 |
81bc945d6cf124ee35a66e5326675fdb
|
|
| BLAKE2b-256 |
dc28aa907b715a225f19546a027a148c35cfc6dc4491b046c4a06d83323fab95
|
File details
Details for the file diffstep-1.1.3-py3-none-any.whl.
File metadata
- Download URL: diffstep-1.1.3-py3-none-any.whl
- Upload date:
- Size: 10.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
835ba6e41028a87352963ff29ea4ab120ff9ecfa0f147d2215b16d8fdfc93ca8
|
|
| MD5 |
a194c15e50828a35142d1d6ae4a745b4
|
|
| BLAKE2b-256 |
23abeff141603bee3f462b642909ef2dfa43327f065587fe4b86453ce4e4959b
|
