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Lecture
Functions: Python Basics
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Related lectures (48)
Python Crash Course
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Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.
Functions in C: Key Concepts and Examples
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Explains the essential concepts of functions in C programming, including definitions, prototypes, and argument passing techniques.
Python Modules and Functions
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Covers Python libraries, modules, scoping, functions, lambdas, and practical examples.
Pointers: Strings, Functions, Casting
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Covers pointers to strings, functions, and casting in C programming.
Python Programming: List Comprehensions and Higher Order Functions
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Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.
Python Complement: Numpy, Scipy, Matplotlib
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Covers advanced Python topics like numpy operations, scipy linear algebra, and matplotlib for creating figures.
Introduction to LabVIEW
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Covers the basics of LabVIEW, including its importance, history, functions, and tools available.
Recursive Functions in C++
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Covers the principles and implementation of recursive functions in C++.
Real Functions: Definitions and Properties
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Explores real functions, covering parity, periodicity, and polynomial functions.
Functions and Periodicity
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Covers functions, including even and odd functions, periodicity, and function operations.
Convex Functions
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Covers the properties and operations of convex functions.
Solving Mathematical Equations
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Covers the resolution of mathematical equations and series convergence.
Limits and Infinity
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Covers the concept of limits and explores limits at infinity with illustrative examples.
Java Programming: Strings and Arrays
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Covers fundamental programming and object-oriented programming concepts in Java, including variables, types, control structures, and basic algorithmic concepts.
Object-Oriented Programming: Polymorphism
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Covers the concept of polymorphism in object-oriented programming, including virtual methods and heterogeneous collections.
Functions: Monotonicity and Boundedness
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Explores monotonicity and boundedness in functions, analyzing their implications in mathematical analysis.
Differentiability of Functions of Several Variables
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Covers the differentiability of functions of multiple variables and the significance of directional derivatives and gradients.
Fourier Coefficients: Trigonometric Series
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Explores Fourier coefficients in trigonometric series, emphasizing even and odd functions.
Polynomials: Definitions and Operations
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Covers the definition and operations of polynomials, including addition and multiplication, degree, coefficients, and their role in algebraic systems.
Derivable Functions: Limits and Continuity
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Explores derivable functions, limits, continuity, and differentiability, emphasizing the relationship between them.
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