Document repository
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.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / Packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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*.egg
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.installed.cfg
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MANIFEST
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.tox/
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.nox/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Flask
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instance/
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.webassets-cache
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# Documentation
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docs/_build/
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site/
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# Jupyter Notebooks
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.ipynb_checkpoints
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profile_default/
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ipython_config.py
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# Virtual Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# IDEs and Editors
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.spyderproject
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.spyproject
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.ropeproject
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# PyCharm (optional - uncomment to ignore)
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# .idea/
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# OS-specific files
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.DS_Store
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.Spotlight-V100
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.Trashes
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._*
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Thumbs.db
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desktop.ini
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# Typing & Static Analysis
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.mypy_cache/
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.dmypy.json
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dmypy.json
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.pyre/
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.pytype/
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# Cython
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cython_debug/
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# PyPI
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.pypirc
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# LaTeX files
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*.acn
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*.acr
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*.alg
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*.aux
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*.bbl
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*.bcf
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*.blg
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*.brf
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*.bst
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*.dvi
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*.fdb_latexmk
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*.fls
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*.glg
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*.glo
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*.gls
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*.idx
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*.ilg
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*.ind
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*.ist
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*.lof
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*.log
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*.lol
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*.lot
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*.maf
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*.mtc
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*.mtc1
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*.nav
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*.nlo
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*.nls
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*.out
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*.pdf
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*.pyg
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*.run.xml
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*.snm
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*.synctex.gz
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*.tex.backup
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*.tex~
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*.thm
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*.toc
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*.vrb
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*.xdy
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*.xml
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*blx.bib
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.bak
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18
README.md
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README.md
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@ -1,21 +1,21 @@
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# Thermohub
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Organizing files and examples for chemical engineering thermodynamics \
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Spring 2026
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**Organizing files and examples for chemical engineering thermodynamics**\
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Eric Furst, *Spring 2026*
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Students start with simple calculations in Jupyter notebooks. We introduce them to standard libraries, such as *numpy*, *scipy*, *matplotlib*, and *pandas*.
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Code can be written and excuted using a dedictaed Collge Jupyterhub (https://jupyterhub.cbe.udel.edu:8000/hub/login), but off-campus access requires the VPN. Students learn about several alternatives, including *Google Colab* and by locally installing Jupyter on their personal machine.
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Here, the code is organized into several modules:
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- **Preliminaries** \
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Initial exercies to intoduce Python and Jupyter concepts
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- **Modules 1-3** \
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Mass and energy balances (Chapters 1-3, SIS)
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- **Module 4** \
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Entropy balances (Chapter 4, SIS)
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- **Module 6** \
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Properties of real fluids (Chapter 6, SIS)
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- **Module 7** \
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Equilibrium and fugacity (Chapter 7, SIS)
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Real fluid calculations in chapter 6 and equilibrium and fugacity calcuations in chapter 7 are the most significant areas.
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