This is the code repository for Julia High Performance Programming, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.
##What you will learn
- Set up your Julia environment to achieve the highest productivity
- Solve your tasks in a high-level dynamic language and use types for your data only when needed
- Apply Julia to tackle problems concurrently and in a distributed environment
- Get a sense of the possibilities and limitations of Julia's performance
- Use Julia arrays to write high performance code
- Build a data science project through the entire cycle of ETL, analytics, and data visualization
- Display graphics and visualizations to carry out modeling and simulation in Julia
- Develop your own packages and contribute to the Julia Community
##Instructions and Navigation All of the code is organized into folders. Each folder starts with number followed by the application name. For example, Chapter02.
You will see code something similar to the following:
# fizzbuzz
for i=1:100
if mod(i,15)==0 println("FizzBuzz")
elseif mod(i,5)==0 println("Buzz")
elseif mod(i,3)==0 println("Fizz")
else println(i)
end
end
###Related Julia Products: Julia for Data Science
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