A Python package for modelling a district heating network. The code is being developed for the AEA-BES research group at HAN University of Applied Sciences, The Netherlands. The smartheattable package can be used under the conditions of the GPLv3 license.
Features
Layout and operation of a district heating network.
Installation
To use the package smartheattable, install it in a Python environment:
(env) pip install smartheattable
or
(env) conda install smartheattable
This should automatically install the dependency packages matplotlib , scipy and pandas, if they haven’t been installed already. If you are installing by hand, ensure that these packages are installed as well.
Example use
python -m smartheattable
smartheattable pages
PyPi: smartheattable Python package
BitBucket: smartheattable source code
ReadTheDocs: smartheattable documentation
References
…
Release files for smartheattable 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| smartheattable-0.0.5.tar.gz | 1.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| smartheattable-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.1 MB
Release files / smartheattable-0.0.5.tar.gz
| Download URL | smartheattable-0.0.5.tar.gz |
|---|---|
| Size | 1.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / smartheattable-0.0.5-py3-none-any.whl
| Download URL | smartheattable-0.0.5-py3-none-any.whl |
|---|---|
| Size | 1.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
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