Functional Programming in Python

Related lectures (31)

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Covers the basics of writing functions in Python and working with function arguments.

Covers parametric polymorphism, lists construction, tuples, generic methods, merge sort, and proving program properties.

Demonstrates temperature conversion from Fahrenheit to Celsius using Java streams and lambda expressions.

Covers the simply typed lambda calculus, focusing on its syntax, semantics, and type system properties such as progress and preservation.

Covers scopes, lambdas, and pandas in data science with Python, including nested declarations, scoping, assignments, and pandas manipulation.

Introduces terms, abstractions, applications, and values in the lambda calculus.

Covers the essential concepts of the Standard Template Library (STL) in C++ for efficient data manipulation.

Covers Python basics, including data types, loops, functions, classes, and GUI creation.

Covers recurring patterns for computations on lists using higher order functions.

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