A high-performance Python toolkit for the analysis of multifractal time series and complex systems.
Project description
The author of this package has not provided a project description
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mf_toolkit-0.1.0.tar.gz
(15.0 kB
view details)
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 mf_toolkit-0.1.0.tar.gz.
File metadata
- Download URL: mf_toolkit-0.1.0.tar.gz
- Upload date:
- Size: 15.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
308f5e2838177227f9481079317d79a1124d3247932a69d6902eb9ce0920e2c6
|
|
| MD5 |
a590a8bf3e73e000100886d7c7246055
|
|
| BLAKE2b-256 |
0ffc8d8403e4c2e7b216bbd3c58b00f61cb0640ba6b2546d8047a01c885f8cf0
|
File details
Details for the file mf_toolkit-0.1.0-py3-none-any.whl.
File metadata
- Download URL: mf_toolkit-0.1.0-py3-none-any.whl
- Upload date:
- Size: 16.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
281ff4c01e6a82601fba25592589970449e1d94e9443b51bfa4df9a7ce7d46a6
|
|
| MD5 |
6abe28945e47d4fa3119c87e34c79892
|
|
| BLAKE2b-256 |
14e7819f4cb5056d6d6752bfbf89907593f5aacb7ad97db9d31c6fdba803b5ba
|
