Programming Languages

Part of

← Software Engineering ← Computer Science

• Python

  • Use for applications such as image recognition and natural language processing.
    • Cloud computing
    • Data Manipulation

• R Programming

  • Use for applications that place a high value on data visualization (ggplot2) and/or can take advantage of the powerful Shiny framework in combination with the RStudio Products
  • Data Manipulation

• Julia

  • Speed
  • Used for time-critical or resource-intensive applications
  • Extensible
    • Multiple dispatch ⇒ all functions and operators can be extended to work with user types arbitrarily.
    • Combined with dynamic typing
  • Cutting edge of compiler technology
  • Best libraries for differential equations, mathematical optimization, and automatic differentiation

Concepts

Memory Management

Manual Memory Management

Garbage Collection

Concurrency

Thread Creation

Parallelism

• Amdahl’s Law

Your program can only benefit from parallelism to the extent that its tasks are parallelizable $S=\frac{1}{1-p}$ p is the fraction of the program that can be parallelized.