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Related lectures (29)

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Python Programming: List Comprehensions and Higher Order Functions

Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.

Introduction to NumPy: Basics of Scientific Computing

Introduces NumPy, focusing on array creation, manipulation, and its advantages for scientific computing.

R Programming: Conditions, Loops, Functions & Graphics

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

Python Programming: Dictionaries and Classes

Introduces Python programming concepts, focusing on dictionaries and classes, including their definitions, usage, and practical examples.

Functions and Methods: Reusability and Modularization

Explores functions, methods, reusability, and modularization in programming, covering decomposition, control structures, recursion, and ellipses for variable arguments.

Python Programming: Immutable and Mutable Objects

Explains the differences between mutable and immutable objects in Python, focusing on lists, sets, and their behaviors.

Elements of Programming

Covers primitive expressions, evaluation processes, function applications, types, and evaluation strategies in programming.

Functions and Periodicity

Covers functions, including even and odd functions, periodicity, and function operations.

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