IPython

Related lectures (31)

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Covers advanced functions of Pandas, focusing on filtering, labeling, and manipulating dataframes.

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

Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.

Introduces setting up the environment, Git basics, and Jupyter Notebook features with practical examples.

Covers the transition to Python and Jupyter notebooks for Numerical Analysis at EPFL, including interactive exercises and graded tests.

Explores recursive functions, including factorials and Fibonacci sequences, and their scope and namespaces.

Covers rhythm generation techniques, including Markov models and hierarchical rhythm generation, with a focus on Nancarrow's Study 14.

Covers the basics of Python programming and setting up Anaconda and Jupyter Notebook.

Covers classical mechanics, molecular dynamics, integrators, constant-temperature simulations, and melting point calculations for aluminum.