Functional Programming in Python

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Related lectures (31)

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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.