Lectures related to Higher-Order Functions: Lambda

Python Programming: List Comprehensions and Higher Order Functions

Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.

Python Basics: Functions and Lists

Introduces Python basics, functions, lists, and lambda functions for concise coding.

Functional Programming in Python

Covers functional programming concepts in Python, showcasing filtering lists based on specific criteria.

Python Modules and Pandas

Introduces Python modules, scoping, lambdas, and pandas for data manipulation and analysis.

Functional Programming: Concepts and Implementation

Covers the concepts and implementation of functional programming in Scala, emphasizing functions, immutable data, and data abstraction.

Encoding Recursion as Self-Application

Explores lambda calculus, higher-order functions, and recursive function encoding.

Programming Concepts: Functions, Inheritance, Code Optimization

Covers advanced programming concepts like higher-order functions and inheritance.

Python Complement: Numpy, Scipy, Matplotlib

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

Python Modules and Functions

Covers Python libraries, modules, scoping, functions, lambdas, and practical examples.

Higher-Order Functions

Covers higher-order functions, function types, and anonymous functions in programming.

Recursive Functions: Examples and Applications

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

Scopes and Lambdas: Data Science with Python

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

Class hierarchies: pattern matching

Covers class hierarchies, pattern matching, function values, and function calls in Scala.

Python Basics: Functions and Types

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

Functions: Python Basics

Covers the basics of functions in Python, including their definition, purpose, and usage.

Avoiding Variable Capture

Explores variable capture in higher-order functions and the importance of variable renaming.

Combinatorial Search: For-Expressions

Explores the use of for-expressions in Scala to simplify computations and solve problems like combinatorial search and N-Queens.

Church Numerals and Conditionals

Explores Church numerals and encoding conditionals in lambda calculus.

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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.