68 results for your search

Curve Fit with Excel and Python
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(APMonitor.com), 9 mins
Nonlinear regression with heart rate data is shown in both Microsoft Excel and Python. GEKKO and SciPy curve_fit are used as two alternatives in Python. Heart rate data is available at http://apmonitor.com/che263/uploads/Main/heart_rate.txt See http://apmonitor.com/che263/index.php/Main/CourseHomework (Problem 4....
(APMonitor.com), 9 mins
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Import Data and Analyze with MATLAB
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(APMonitor.com), 9 mins
Data are frequently available in text file format. This tutorial reviews how to import data, create trends and custom calculations, and then export the data in text file format from MATLAB. Source code is available from http://apmonitor.com/che263/uploads/Main/matlab_data_analysis.zip
(APMonitor.com), 9 mins
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Introduction to MathCAD for Engineers
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(APMonitor.com), 32 mins
Mathcad is a tool to arrange, calculate, and visualize engineering calculations. A Mathcad sheet has values, equations, plots, and functions that are written and displayed in a manner that is similar to how they are written in a textbook or reference manual. As inputs in the worksheet are updated, all dependent ca...
(APMonitor.com), 32 mins
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Microsoft Excel Solver for Engineering Optimization
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(APMonitor.com), 8 mins
Excel Solver is a powerful tool for engineering optimization. This tutorial shows how to solve a simple benchmark problem with an objective function, inequality constraint, and an equality constraint.
(APMonitor.com), 8 mins
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Numpy and Loops in Python
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(APMonitor.com), 34 mins
This introductory homework assignment solution covers Numpy and loops (for and while) in Python. The example problems use simple vectors and matrices, reshaping, index referencing, initialization, dot product, cross product, matrix inverse, size, and range.
(APMonitor.com), 34 mins
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Python Basic Statistical Analysis
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(APMonitor.com), 8 mins
Python statistical functions such as average, maximum, minimum, standard deviation, and custom counting are demonstrated in an iPython notebook.
(APMonitor.com), 8 mins
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Solve Linear Equations with MATLAB
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(APMonitor.com), 8 mins
MATLAB is used to solve a set of linear equations (Ax=b) by inverting the matrix A and multiplying by the b vector. Three ways to solve A*x=b are:x = inv(A)*b % goodx = A\b % betterx = linsolve(A,b) % bestSee https://apmonitor.com/che263/index.php/Main/MatlabSolveEquations for additional details.
(APMonitor.com), 8 mins
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Subplots with Matplotlib in Python
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(APMonitor.com), 6 mins
Subplots combine multiple plots into a single frame. The key to using subplots is to decide the layout of the subplots and to then configure each subplot individually.
(APMonitor.com), 6 mins
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Chemical Reaction Differential Equations in Python
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(APMonitor.com), 21 mins
Concentrations on chemical species from mole balances are solved for 1, 2, and 4 species in Python with the Scipy.Integrate package ODEINT.
(APMonitor.com), 21 mins
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Debugging Python with ipdb and Sypder
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(APMonitor.com), 15 mins
A powerful debugging tool for Python is the pdb (or ipdb) tool that is part of the Integrate Development Environment of Spyder (available from the Anaconda download). This exercise shows how to debug code to fix syntax and logical programming errors.
(APMonitor.com), 15 mins
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