This is a short introduction to data analysis in Jupyter notebooks for chemical engineering students.
☆11Mar 16, 2022Updated 4 years ago
Alternatives and similar repositories for Python-Tutorial
Users that are interested in Python-Tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Chemical engineering calculations as Jupyter notebook☆14Sep 5, 2020Updated 5 years ago
- Materials for my undergraduate course on Chemical Engineering Kinetics and Reactor Design at Northeastern University☆18Jan 10, 2024Updated 2 years ago
- Introduction to Python for Chemical Engineers☆24Jul 6, 2023Updated 2 years ago
- Tools for the home brewer☆26Dec 8, 2022Updated 3 years ago
- Python code for chemical engineering : master classes and research☆12May 20, 2026Updated last month
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Chemical Engineering at UP LaTeX templates☆10Sep 12, 2021Updated 4 years ago
- python packages for block based simulation of dynamical systems in continous time (inspired by simulink)☆16Apr 16, 2026Updated 2 months ago
- Modeling and Simulation of Multicomponent Distillation Columns☆37Feb 19, 2024Updated 2 years ago
- A chemical engineering module for python.☆15Apr 30, 2015Updated 11 years ago
- Jupyter notebooks for Dynamics and Control☆283Dec 11, 2024Updated last year
- The Open Flowsheet Modeling Library is a collection of C# libraries that can be used to simulate stationary chemical processes using mass…☆15Jun 23, 2022Updated 4 years ago
- Small utilities for teaching with Jupyter notebooks☆15Dec 13, 2021Updated 4 years ago
- Introduction to Python for Chemical Engineers (crash course with additional resources)☆88Sep 27, 2016Updated 9 years ago
- Exact and heuristic methods for tearing☆13Sep 2, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Fall 2018 - Mathematical Modeling of Chemical Engineering Processes☆22Dec 12, 2018Updated 7 years ago
- My textbook on Biochemical Engineering☆19Mar 1, 2024Updated 2 years ago
- A program that can do Process Identification and PID Tuning by using Deep Learning designed for people studying and researching chemical …☆29Mar 11, 2019Updated 7 years ago
- Process Control Laboratory☆14Dec 7, 2020Updated 5 years ago