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Related lectures (17)
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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.
Data Science Essentials: Pandas, Numpy, Matplotlib
Introduces Pandas, Numpy, and Matplotlib for data analysis and visualization in Python.
Wind Power Production Analysis
Covers wind power production analysis using Python and matplotlib.
Matplotlib: Basic Graph Creation and Practical Exercise
Introduces the basics of creating graphs with Matplotlib and includes practical exercises for students.
Python Complement: Numpy, Scipy, Matplotlib
Covers advanced Python topics like numpy operations, scipy linear algebra, and matplotlib for creating figures.
Introduction to Jupyter Notebook
Introduces setting up the environment, Git basics, and Jupyter Notebook features with practical examples.
Introduction to Python Programming
Introduces Python programming basics using Anaconda and JupyterLab, with practical exercises on syntax and libraries.
NumPy Arrays and Graphical Representations: Introduction
Covers NumPy arrays and their graphical representations using Matplotlib, focusing on array creation, manipulation, and visualization techniques.
Transition Python to Matlab/Octave
Covers the transition from Python to Matlab and Octave for scientific computing.
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.
