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Related lectures (31)

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R Programming: Conditions, Loops, Functions & Graphics

Covers conditions, loops, functions, and graphics in R programming with practical examples.

Python Basics: Functions and Lists

Introduces Python basics, functions, lists, and lambda functions for concise coding.

Nested Recursive Definitions

Explores nested recursive definitions using environments and the lifting of binary functions to work on values.

Python Modules and Pandas

Introduces Python modules, scoping, lambdas, and pandas for data manipulation and analysis.

Programming for Engineers: MATLAB Tips and Tricks

Explores MATLAB tips and tricks for engineers, covering installation, logical arrays, curve plotting, function approximation, anonymous functions, and numerical integration.

Type Inference

Explores type inference in statically typed languages, using algorithms to assign types to program expressions accurately.

Numerical Integration Methods

Explores numerical integration methods and their application in solving differential equations and simulating physical systems.

Analysis III: Third Class

Covers the correction of the simple curve definition and the importance of orientation in mathematical analysis.

Matlab Programming: Script and Function

Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.