Python for Chemical Engineers
Bridge process engineering and software development. Learn Python programming tailored specifically for chemical engineers: NumPy, SciPy numerical solvers, Pandas data analysis, Matplotlib charts, and Aspen HYSYS automation scripts.
Who It Is For
Chemical engineering undergraduate/graduate students, practicing refinery & process engineers, EPC plant designers, and engineering consultants looking to elevate simulation competence.
Prerequisites & Software
No prior coding required.
Weekly Training Hours & Delivery
Classes are conducted 100% Live Online via Google Meet / Zoom with real-time Aspen flowsheet mentoring and hands-on lab exercises. When booking, you select your fixed weekly time slot:
Full-day live lab availability from 8:00 AM to 5:00 PM EAT. Available in 2-hour or 4-hour structured modules.
Weekend afternoon & evening live lab availability from 2:00 PM to 8:00 PM EAT.
Detailed Course Syllabus
Module 1: Python Fundamentals, Data Structures & NumPy Array Operations
Hands-on simulation exercises, parameter troubleshooting, and real process flowsheet convergence.
Module 2: Chemical Thermodynamics & Equation of State (EOS) Solvers in SciPy
Hands-on simulation exercises, parameter troubleshooting, and real process flowsheet convergence.
Module 3: Process Data Analysis & Visualization with Pandas & Matplotlib
Hands-on simulation exercises, parameter troubleshooting, and real process flowsheet convergence.
Module 4: Automating Aspen HYSYS via Python Win32 COM API
Hands-on simulation exercises, parameter troubleshooting, and real process flowsheet convergence.
Module 5: Building Dynamic Process Predictive Maintenance Tools
Hands-on simulation exercises, parameter troubleshooting, and real process flowsheet convergence.
Ready to Enroll?
Live interactive cohort sessions starting every month. Reserve your place now.