APMonitor
Python 🐍 Curve Fit with Step Test Data
The Scipy curve_fit function determines two unknown coefficients (dead-time and time constant) to minimize the difference between predicted and measured response values. Pandas imports the data and the dataframe header is diplayed with...
APMonitor
Computational Tools for Engineers Course Overview
Welcome to ChE263 which teaches computer skills useful to engineers and scientists. It covers MATLAB, Python, Mathcad, computer programs for doing all types of math, both numerically and symbolically; Excel, a spreadsheet program; and...
APMonitor
Python 🐍 Solve Nonlinear Equations with fsolve
This tutorial is an introduction to solving nonlinear equations with Python. The solution to linear equations is through matrix operations while sets of nonlinear equations require a solver such as Scipy optimize fsolve to numerically...
APMonitor
SciPy Beginner's Guide for Optimization
Scipy.Optimize.Minimize is demonstrated for solving a nonlinear objective function subject to general inequality and equality constraints. Source code is available at http://apmonitor.com/che263/index.php/Main/PythonOptimization...
Red Rock Films
Who was Charles Drew?
How an outstanding athlete dedicated himself to medicine, saved thousands of lives in World War II and proved that all people are the same on the inside.
APMonitor
Python Nonlinear Equations with Scipy fsolve
The Scipy optimization package FSOLVE is demonstrated on two introductory problems with 1 and 2 variables.
IDG TECHtalk
Using low code platforms to learn development skills
Low code and no code platforms are valuable IT tools. They make it easy for employees outside of the IT team to develop apps that simplify business processes. And in some cases, they can aid in the transition from amateur developer or...
APMonitor
Python for Beginners with Spyder IDE
This introduction includes information about naming variables, built-in constants, reserved keywords, built-in functions, syntax highlighting, data types (integer, float, list, tuple, dictionary), and basic commands to built a first...
Catalyst University
NO BS: Independent t-Test Excel Tutorial
NO BS: Independent t-Test Excel Tutorial
Catalyst University
Excel/Numbers: Program Average and Standard Deviation
Excel/Numbers: Program Average and Standard Deviation
APMonitor
Visual Basic for Applications (VBA) in Excel
VBA adds programming functionality to Microsoft Excel. A Macro is a VBA program that can be recorded to auto-generate code in VBA. VBA is a simplified form of Visual Basic and lacks full-featured programming support. VBA extends the...
Curated Video
Complete Python Scripting for Automation - Introduction to Python Modules
Working with Python Modules: Introduction to Python Modules This clip is from the chapter "Working with Python Modules" of the series "Complete Python Scripting for Automation".You will learn about platform module and getpass module.
APMonitor
Excel VBA Macro Tutorial for Engineers
This basic Excel Macro tutorial demonstrates how to import and export values from a VBA program, display a message box, and write an IF statement. This video is followed by examples on writing this same program in MATLAB and Python.
Catalyst University
Non-linear Regression Analysis in Microsoft Excel
Non-linear Regression Analysis in Microsoft Excel
APMonitor
Chemical Reaction Differential Equations in Python
Concentrations on chemical species from mole balances are solved for 1, 2, and 4 species in Python with the Scipy.Integrate package ODEINT.
APMonitor
Solve Differential Equations in Python
Differential equations are solved in Python with the Scipy.integrate package using function ODEINT. ODEINT requires three inputs: y = odeint(model, y0, t) model: Function name that returns derivative values at requested y and t values as...
APMonitor
Python Import Online Data and Analyze
There are many online sources of data. Python is capable to access, parse, and display data from databases, data streams, or other sources. The Internet of Things (IoT) depends on devices and programs (such as Python) communicating with...
Let's Tute
Creating Excel Column Charts
In this Microsoft Excel tutorial, we learn how to create column charts. There are seven different types of column charts to choose from, each presenting data in a unique way. By selecting the appropriate chart type, you can effectively...
Catalyst University
Lineweaver-Burke Equation: Theory and Derivation
Lineweaver-Burke Equation: Theory and Derivation
APMonitor
MathCAD Nonlinear Equation Solver
Solution of variables within nonlinear expressions can either be difficult or impossible with analytic or symbolic techniques. When a numerical solution is required, a nonlinear solution technique can be used within Mathcad with either a...
APMonitor
Introduction to MathCAD for Engineers
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...
APMonitor
Linear and Polynomial Regression in MATLAB
Data regression is an empirical method to develop correlations. This tutorial demonstrates how to use MATLAB to fit a line and polynomial functions along with plotting the results and performing a basic statistical analysis.
Let's Tute
Excel Chart Ribbon: Exploring Options for Creating and Formatting Charts
In this Microsoft Excel tutorial, we will explore the Excel chart ribbon and its various options. From adding chart elements to changing colors and chart styles, we will learn how to effectively present data using different chart types....