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Related lectures (30)

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Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.

Explores Taylor series convergence and applications in approximating functions and solving mathematical problems.

Covers the analysis of functions, composition, and mathematical induction.

Covers advanced topics in Python programming, focusing on control structures and functions.

Covers the stochastic endowment consumption model, log-linear transformation, impulse response solution, and Matlab codes.

Covers the concepts and implementation of functional programming in Scala, emphasizing functions, immutable data, and data abstraction.

Covers Matlab functions, debugging, and logical indexing with practical examples.

Explores injections, surjections, and bijections in linear algebra, highlighting their significance in mathematics.

Explores injective functions in linear algebra, demonstrating how to prove injectivity step by step.

Covers namespaces and main arguments in C++, demonstrating their usage and importance.