Mathematica Tutorial: Graphics and Functions

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Related lectures (30)

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NumPy Arrays and Graphical Representations: Introduction

Covers NumPy arrays and their graphical representations using Matplotlib, focusing on array creation, manipulation, and visualization techniques.

Partial Derivatives: Definitions and Examples

Covers the concept of partial derivatives and their applications in mathematical analysis.

Control Structures; Functions

Covers control structures, loops, and functions in C language, emphasizing the importance of local variables and avoiding global variables.

Products and Convolution of Transforms

Covers the definition and properties of convolution of two functions and explores radioactive material decay rates.

Python Modules and Functions

Covers Python libraries, modules, scoping, functions, lambdas, and practical examples.

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Programming Fundamentals: Functions

Introduces Python programming basics, focusing on functions to enhance code efficiency.

Understanding Microcontrollers: Functions

Introduces the fundamentals of functions in microcontroller programming, emphasizing naming rules and step-by-step development.

Functions: Reusability and Error Reduction

Covers functions in C programming, emphasizing reusability and error reduction through proper function structure.

Closure Conversion: Representation and Transformation

Explores the representation and transformation of values, focusing on closure conversion and the challenges of representing functions in functional languages.