programming-languages

Last updated Sep 19, 2022

• Programming
• Language
• Notes

• 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

• 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.