Lectures related to C++ Standard Library: Containers and Algorithms

Covers procedural and object-oriented programming, abstract data structures, templates, and the C++ standard library.

Covers the main tools in the C++ standard library, emphasizing their importance for efficient programming.

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

Explores C++ standard library containers and algorithms, including associative tables, stacks, queues, and random number generation.

Covers abstract data structures and the C++ standard library, including linked lists, stacks, queues, and complex numbers.

Introduces programming basics, covering Unix systems, Firefox, algorithms, and data structures.

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

Covers fundamental programming concepts such as algorithms, variables, and expressions in C++.

Explores containers and algorithms in the C++ standard library, including find, copy, and sort functionalities.

Discusses advanced types in C, including enumerated types, typedefs, and structures, with practical examples to illustrate their usage.

Explores object-oriented programming concepts like polymorphism and pointers in C++.

Covers the implementation and manipulation of dynamic arrays in C++ using vectors, focusing on their features and performance implications.

Discusses image processing techniques, focusing on seam carving and pixel manipulation in Python programming.

Covers the representation of mathematical models, functions, and data structures in information systems.

Covers function pointers in C++ and their application in GTKmm for event-driven programming.

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

Covers the fundamental concepts of C++ programming, focusing on structures, typedef, and data processing.

Covers advanced data types and memory management in C programming, emphasizing type consistency and dynamic array allocation.

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

Covers the basics of C programming, including syntax, structure, and compilation processes.