Vandal framework logistics library.
Project description
Logistics Python Package
logistics
Vandal framework logistics package.
vandal
Data science, Data manipulation and Machine learning library. Use permitted according to the terms of use and conditions set by the attached license.
Example of use
Visit my Data Library at https://github.com/dkundih/DataLibrary in order to see the demonstration of use in practical examples.
Installation
# using pip.
pip install vandal
Dependencies
# using pip.
pip install vandal -r requirements.txt
CHANGELOG
0.0.2 (20/12/2021)
- initial release.
0.0.2 (20/12/2021)
- initial change.
0.0.3 (07/06/2022)
- transformed into Vandal framework logistics package.
0.0.4 (07/06/2022)
- bug fix.
0.0.5 (11/06/2022)
- added FilePathType and SpecialType.
- added multiple folders to aid testing and development.
0.0.6 (13/06/2022)
- Manifesto added.
- special methods redefined.
- PEP8 alignments.
0.0.7 (13/06/2022)
- added meta data.
0.0.8 (28/07/2022)
- redefined the package structure.
- added VandalTypes function to print all the types.
0.0.9 (28/07/2022)
- quick bug fix.
0.0.10 (28/07/2022)
- resolved VandalTypes issues.
0.0.11 (28/07/2022)
- VandalTypes now assigned in the types module instead of init.
0.0.12 (13/08/2022)
- migrated paint_text from duality and vandal to logistics.
0.0.15 (21/08/2022)
- withdrawal of failed changes.
0.0.16 (21/08/2022)
- init changes.
0.0.17 (21/08/2022)
- init changes.
Project details
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
File details
Details for the file logistics-0.0.17.tar.gz
.
File metadata
- Download URL: logistics-0.0.17.tar.gz
- Upload date:
- Size: 7.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 254e4285f934b9eed88e29f527db0e75a19d6cfe1203b0db99a428e864d684bf |
|
MD5 | 247ab5a18a5e4dd45c54ef435fbc3684 |
|
BLAKE2b-256 | b74930549bd76fc3fc4d1a039b94ce55020485c0cd26b1343eb32e9662bff748 |