PyChemEngg
A Python-based framework to promote problem solving and critical thinking in chemical engineering.
A New Way to Learn
PyChemEngg encapsulates complex equations into intuitive, word-based functions. This allows students to build solutions and test scenarios in a way that reinforces core engineering principles, rather than getting lost in syntax.
The goal is to use computation as a tool to stimulate deeper thinking and understanding.
# English-like and intuitive
from pychemengg.massbalances import physicalmassbalance as pmb
mixer1 = pmb.PhysicalProcess("mixer1")
streams = ["S1", "S2", "S3", "S4"]
flowrates = [200, 10, 135, "-F"]
fractions = [[0.2, 0.3, 0.5], [0.1, 0.2, 0.7], [0.4, 0.1, 0.5],["x", "x", "x"]]
S1, S2, S3, S4 = mixer1.attachstreams(streamnames=streams, flowrates=flowrates, fractions=fractions)
mixer1.degreesoffreedom()
# ...and so on!Why Python?
Simple & Intuitive
Python is known for its simple syntax and English-like commands, making it easy for students to learn and apply engineering concepts without a steep programming curve.
Robust Ecosystem
The framework allows integration of mature scientific libraries like NumPy, SciPy, and Matplotlib for powerful and reliable computations.
Industry Demanded Skill
Learning Python through this framework equips future engineers with a versatile skill that is in high demand in AI, machine learning, and data science.
Project Status
Released (Beta)
- Material Balances
- Heat Transfer
Future Goals
- Fluid Flow
- Thermodynamics
- Chemical Reaction Engineering
- Process Control
Explore the Project
PyChemEngg is an open-source project developed by Dr. Gill. Dive into the code or read the official documentation.