Lectures related to Python Programming Basics

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

Covers control flow in Python, focusing on conditional statements and loops.

Covers Python basics, threading, shared data issues, and deadlock prevention.

Covers the basics of C programming, including syntax, data types, pointers, arrays, and compilation commands.

Introduces Python programming basics, covering data types, operators, variables, functions, and code tracing.

Covers the basics of programming with Python, emphasizing practical exercises and self-learning resources.

Covers the fundamentals of Python programming, including basic data types, methods, functions, conditions, and loops.

Introduces fundamental programming concepts in Python, focusing on control structures like conditions and loops.

Covers Python basics, Git, control structures, functions, file handling, and debugging using PDB.

Introduces Python programming basics, covering variables, methods, conditions, loops, and boolean logic.

Introduces functions and control structures in Python, emphasizing their importance for code organization and reusability.

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

Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.

Introduces the basics of programming with a focus on dictionaries and classes in Python.

Covers essential C programming concepts, including memory management, debugging techniques, and practical applications in programming projects.

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

Covers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.

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

Covers the basics of programming in Python, focusing on practical skills and hands-on exercises.

Covers Python basics, including data types, loops, functions, classes, and GUI creation.