Python Recap: Modules and Objects

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NumPy Arrays and Graphical Representations: Introduction

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

Python Modules and Pandas

Introduces Python modules, scoping, lambdas, and pandas for data manipulation and analysis.

Python Programming: Data Structures and Functions

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

Structures and Mechanisms: Opening a Box

Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.

Python Programming: File Handling and Exceptions

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

Hubble Law: Observational Cosmology

Introduces the Hubble law, parsec, and redshift in observational cosmology.

General Introduction to Data Science

Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.

Data Science: Python for Engineers - Part II

Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.

Data Science Visualization with Pandas

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Excitonic Devices: Modeling and Applications

Covers excitonic device modeling and exciton control using 2D materials.