Lectures related to Functions and Data

Real Functions: Definitions and Properties

Explores real functions, covering parity, periodicity, and polynomial functions.

Functions and Lists: Complements and Manipulation

Explores functions' complements, parameter order, and list manipulation, including counting occurrences and solving the '100 prisoners problem'.

Python Programming: Data Structures and Functions

Covers advanced Python programming concepts, including data structures and functions.

Data Structures and Functions

Covers the basics of tuples, lists, sets, linear types, conversions, dictionaries, and defaultdicts.

Game Development: Implementing Game Logic

Covers the implementation of game logic in C++, focusing on data structures and game functions.

Functions and Periodicity

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

Entropy and the Second Law of Thermodynamics

Covers entropy, its definition, and its implications in thermodynamics.

Understanding Microcontrollers: Functions

Introduces the fundamentals of functions in microcontroller programming, emphasizing naming rules and step-by-step development.

Control Structures; Functions

Covers control structures, loops, and functions in C language, emphasizing the importance of local variables and avoiding global variables.

Structured Data Representation

Covers the representation of structured data, arrays, structures, and functions with multiple return values.

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.