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Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.
Covers tuples, sets, and dictionaries in Python, explaining their similarities and differences, common operations, and key concepts.
Explores the transition from AdS/CFT to soft theorems in flat space physics, including the construction of scattering states and the application of Weinberg soft theorems.
Covers matrix operations, Fourier transformations, Gaussian models, and signal representations using algebraic methods.
Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.
Examines the historical challenges of managing information and the evolution of information management tools to cope with information overload.
Covers Python basics, Git, control structures, functions, file handling, and debugging using PDB.
