A Python toolkit for data-driven HRTF research
Project description
Hartufo
A Python toolkit for data-driven HRTF research
Installation
The hartufo package is configured to be installable with pip, so you can simply run pip install [--user] hartufo.
Mailing List
In order to be kept up to date with the latest developments and new releases, subscribe to the mailing list by sending an email to sympa@qmul.ac.uk with subject subscribe hartufo-users FirstName LastName and an empty body (clicking on the email address will preformat this message for you). Don't forget to replace the placeholders with your own name.
Development Setup
To contribute, it is best to check out the repo and install it in "editable mode" with the following procedure.
git clone https://github.com/jpauwels/hartufo/cd hartufopip install [--user] -e .
You can then simply update the package by calling git pull whenever the repo has been updated or even make your own edits and start contributing.
Project details
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 hartufo-0.6.6.tar.gz.
File metadata
- Download URL: hartufo-0.6.6.tar.gz
- Upload date:
- Size: 460.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ba2903e13caad1d824771d60d4a1f2934838a92f551b5df5d2895f85189e70e2
|
|
| MD5 |
7fc91f72b9612cc65a4993fa9647c386
|
|
| BLAKE2b-256 |
b6910f368b19a48d1627257ce11db7dbd6bc383693e103fcd08005af4a4db143
|
File details
Details for the file hartufo-0.6.6-py3-none-any.whl.
File metadata
- Download URL: hartufo-0.6.6-py3-none-any.whl
- Upload date:
- Size: 472.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1d6cf2dcb99f1ff5fa11418d6018f8f75da29e8eca5173b7272a44086ceb2be0
|
|
| MD5 |
49f77db4eca4c8307b7636905e325804
|
|
| BLAKE2b-256 |
cff0057f784ff8801c3995da031adb250d20ddfb96a52946eb7e014aab7dc2ca
|