Lectures related to Programming Basics: Python Fundamentals

Threads in Python Programming

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

Python Basics

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

Introduction to Programming with Python

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

Introduction to C Programming

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

Programming Basics: Python Fundamentals

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

Functions and Control Structures in Python

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

Python Programming: Dictionaries and Classes

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

Programming Basics: Control Structures and Functions

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

Python/NumPy Primer

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

Image Processing Techniques: Seam Carving and Pixel Manipulation

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

Control Flow in Python: Conditional Statements and Loops

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

Python Basics: Functions and Types

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

Python Programming: Immutable and Mutable Objects

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

Programming Fundamentals: Recap and Modular Approach

Covers fundamental programming concepts and highlights the importance of modular code design.

Programming Fundamentals: Functions

Introduces Python programming basics, focusing on functions to enhance code efficiency.

Data Science with Python

Covers Python basics, Pandas, data manipulation, visualization, and machine learning.

Functions: Reusability and Error Reduction

Covers functions in C programming, emphasizing reusability and error reduction through proper function structure.

Python Modules and Functions

Covers Python libraries, modules, scoping, functions, lambdas, and practical examples.

Variables, Objects, Types

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

Python Programming Basics

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