Skip to main content

Aristotle University of Thessaloniki Electroacoustics Course Python Package.

Project description

Electroacoustics-AUTH

Electroacoustics-AUTH is a Python distribution package for supporting educational courses of Electroacoustics in Aristotle University of Thessaloniki. It consists a tool library, electroacoustics, which contains constants, functions and other objects of Python programming language used in lectures, exercises and other teaching material, mainly used in Jupyter Notebooks.

📦 Installation

Install via PyPI

You can install this package from PyPI using pip:

pip install electroacoustics-auth

Install via Conda

To install this package using conda, make sure you have either Miniconda or Anaconda installed.

Then, run the following command:

conda install csevast::electroacoustics-auth

✅ Installation verification

To check if the package was installed successfully, try:

python -c "import electroacoustics; help(electroacoustics)"

If the electroacoustics-auth is installed, this command will print all of its help documentation string.

💻 Examples of usage

To use the main module electroacoustics import it in your programm:

import electroacoustics as ea

or

import electroacoustics.electroacoustics as ea

To initialize a Jupyter Notebook for the Electroacoustics courses insert at the beginning of its first Python cell the following code:

from electroacoustics.init_ipynb import *

⚖️ License: GNU GPL v3.0

Copyright (C) 2026 Christos Sevastiadis

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

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

electroacoustics_auth-1.0.1.tar.gz (27.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

electroacoustics_auth-1.0.1-py3-none-any.whl (24.4 kB view details)

Uploaded Python 3

File details

Details for the file electroacoustics_auth-1.0.1.tar.gz.

File metadata

  • Download URL: electroacoustics_auth-1.0.1.tar.gz
  • Upload date:
  • Size: 27.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for electroacoustics_auth-1.0.1.tar.gz
Algorithm Hash digest
SHA256 72f5aebbae222b7e4c2be6cd64aa193a2f2eeeda0d3de74ad04649b34569252a
MD5 1aa960ad6de870c9fcc9e8a3a0dd141c
BLAKE2b-256 c305f9a4ffecfc6c67f69107fbdf8e1f8bcf101deea7a091231c9b934894c705

See more details on using hashes here.

File details

Details for the file electroacoustics_auth-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for electroacoustics_auth-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b49d2d99a5386126a5df1a7a946adea6d30940a97ff0e9cbbaf82273464f075f
MD5 b24c78af68c40d5504f9fb9bfe2caae6
BLAKE2b-256 c01b2a98bafacb20d78be31eae7b3d457b6b7523dde352901e37b18ea4a80bac

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page