Lectures related to Functional Programming in Python

Python Programming: List Comprehensions and Higher Order Functions

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

Explores higher-order functions and lambda expressions in Python, showcasing their practical applications and concise syntax.

Encoding Recursion as Self-Application

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

Python Basics: Functions and Lists

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

Functional Programming: Concepts and Implementation

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

Python Modules and Pandas

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

Combinatorial Search: For-Expressions

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

Programming Concepts: Functions, Inheritance, Code Optimization

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

Church Numerals and Conditionals

Explores Church numerals and encoding conditionals in lambda calculus.

Higher-Order Functions

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

Avoiding Variable Capture

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

Python Complement: Numpy, Scipy, Matplotlib

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

Higher-Order Functions Using Environments

Demonstrates a metacircular approach to interpreting higher-order functions efficiently using environments and first-class functions.

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.

Lambda Calculus and Type Safety: An Overview

Provides an overview of lambda calculus, type safety, and type inference in programming languages.

Combinatorial Search and For-Expressions

Explores combinatorial search and introduces for-expressions as a more intuitive way to manipulate lists in Scala.

Practical Engineering 1: Signal Processing

Explores advanced software engineering topics and signal processing using lazy lists to build a sound synthesizer from scratch.

Programming Paradigms: Functional, OOP, Polymorphism

Explores programming paradigms like procedural, functional, and OOP, with examples in Python.

Loops: Control Statements and Functions

Covers modeling control statements with functions in Scala, including while loops, repeat loops, and for-loops translation.

Recursive Functions: Examples and Applications

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