Lectures related to Python Basics: Strings and Variables

Introduces Python programming basics using Anaconda and JupyterLab, with practical exercises on syntax and libraries.

Explores file handling and exceptions in Python programming, covering reading, writing, and error handling strategies.

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

Covers the basics of writing functions in Python and working with function arguments.

Covers the basics of programming, including types, variables, methods, functions, conditions, loops, and boolean logic.

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

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

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

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

Covers Python programming concepts related to sorting and indexing.

Covers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.

Covers advanced topics in Python programming, focusing on control structures and functions.

Covers the implementation of a Python function to detect duplicates in a list of integers.

Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.

Covers NumPy arrays and their graphical representations using Matplotlib, focusing on array creation, manipulation, and visualization techniques.

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

Introduces NumPy and Matplotlib, essential tools for scientific computing and data visualization in Python.

Covers the implementation of a Parallelogram class in Python.

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

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