Functions and Data

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Related lectures (28)

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Partial Derivatives: Definitions and Examples

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

Python Basics: Functions and Lists

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

Variables, Objects, Types

Introduces variables, objects, and types in Python, emphasizing the significance of object mutability and its implications when passing objects to functions.

Functional Programming: Concepts and Implementation

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

Definitions and Notations

Covers the definitions and notations related to functions.

Python Crash Course

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

Python Programming: Lists and Functions Overview

Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.

Convexity Criteria

Covers the study of functions, focusing on convexity criteria within closed subintervals.

Programming Fundamentals: Lists and Imports

Delves into Python lists, slicing, functions, and imports for code sharing.

Excel Upgrade: Advanced Functions and Data Analysis

Covers advanced Excel functions and data analysis techniques, including automatic recording and using Solver.