The Python in Mechanical Engineering is a practical, industry-focused course designed to help mechanical engineers use Python for engineering analysis, automation, and simulation. The course covers core Python programming along with real mechanical engineering applications such as numerical calculations, data analysis, plotting engineering graphs, solving thermodynamics and fluid mechanics problems, stress–strain analysis, optimization, and basic simulation techniques. Learners will gain hands-on experience using Python libraries like NumPy, SciPy, Matplotlib, and Pandas to replace manual calculations and Excel-based workflows. By the end of the course, students will be able to develop efficient engineering scripts, analyze experimental and design data, and apply Python to real-world mechanical engineering challenges in design, manufacturing, and R&D.
Module 1: Introduction to Python for Mechanical Engineers Importance of Python in mechanical engineering Python installation and setup (Anaconda, Jupyter, IDEs) Basic syntax, variables, and data types Writing and executing Python scripts.
Module 2: Core Python Programming Operators and expressions Conditional statements and loops Functions and modular programming Error handling and debugging basics.
Module 3: Numerical Computing with NumPy Arrays and matrix operations Mathematical and statistical functions Solving linear equations Engineering-based numerical examples.
Module 4: Data Analysis with Pandas DataFrames and Series Importing CSV, Excel, and text data Data cleaning and manipulation Analyzing experimental and test data.
Module 5: Engineering Visualization with Matplotlib Plotting 2D and basic 3D graphs Stress–strain curves and performance plots Multiple plots and customization Engineering report-ready graphs.
Module 6: Applied Thermodynamics & Heat Transfer Using Python Energy balance calculations Property evaluation and plotting Heat conduction, convection, and radiation problems Case studies using Python scripts.
Module 7: Fluid Mechanics Applications Flow calculations and Reynolds number analysis Pipe flow and pressure drop calculations Pump and turbine performance analysis Data visualization for fluid systems.
Module 8: Mechanical Design & Stress Analysis Stress, strain, and deformation calculations Beam and shaft analysis Fatigue and safety factor estimation Parametric studies using Python.
Module 9: Optimization & Simulation Techniques Root finding and numerical methods Design optimization problems Sensitivity analysis Intro to simple mechanical simulations.
Module 10: Industry Projects & Automation Automating mechanical calculation workflows Working with real engineering datasets Mini-projects based on industry scenarios Final live project and presentation.
Mobile: 9100348679
Email: coursedivine@gmail.com
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