This tutorial demonstrates how to set up and solve a set of nonlinear equations in Python using the SciPy Optimize package.

Python has functions for reading, creating, and deleting files. The high-level steps for many data science applications is to import data, analyze data, and export results.



A basic function for working with...

A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the Excel solver add-in. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared errors),...

Setting axis limits, adding a legend, configuring marker size, and other custom configurations are effective ways to improve the readability of a plot in Python.

This video explains exploring the Cypress project framework structure.
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This clip is from the chapter "Introduction to Cypress Test Runner and Command-Line Features" of the series "Cypress - Modern Automation Testing from...

NO BS: Microsoft Excel 2016 Data Analysis Toolpak (On Windows)

This introduction to MATLAB and Simulink ODE solvers demonstrates how to set up and solve either one or multiple differential equations. The equations can be linear or nonlinear.

NO BS: Download Microsoft Excel 2016 Data Analysis Toolpak (On Mac)

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...

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...

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...

Scipy.Optimize.Minimize is demonstrated for solving a nonlinear objective function subject to general inequality and equality constraints. Source code is available at

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NO BS: Paired t-Test Excel Tutorial

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.

The Scipy optimization package FSOLVE is demonstrated on two introductory problems with 1 and 2 variables.

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...

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...

NO BS: Independent t-Test Excel Tutorial

Excel/Numbers: Program Average and Standard Deviation

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...

Working with Python Modules: Introduction to Python Modules
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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...

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.

Non-linear Regression Analysis in Microsoft Excel