Python Crash Course

Related lectures (30)

Covers Python basics such as syntax, variables, and functions, introducing the Renku platform for collaborative data science.

Introduces Real Analysis I, covering real numbers, functions, limits, derivatives, and integrals.

Explores complex numbers, operations, absolute value, and polar form, along with the analysis and graphic representation of complex numbers.

Covers the basics of tuples, lists, sets, linear types, conversions, dictionaries, and defaultdicts.

Covers advanced Python topics like numpy operations, scipy linear algebra, and matplotlib for creating figures.

Covers the isomorphism of coverings and the lifting theory.

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

Explores harmonic forms on Riemann surfaces and the uniqueness of solutions to harmonic equations.

Covers control structures, loops, and functions in C language, emphasizing the importance of local variables and avoiding global variables.

Introduces Python basics like types, functions, conditions, loops, and lists, with examples of string manipulation and list operations.

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