When we talk about the scientific community and its work, we always take into account the heavy mathematical and statistical operations being performed on raw and processed data to achieve desired results. In order to work with this huge data and the complexity it holds, the tools that are to be used to evaluate the data itself should be perfectly suited both in terms of speed of execution and ease of use.
Julia provides an excellent combination of both. The one area in which this language completely outshines its counterparts is its standings in the numerical computation and statistical operations. In this chapter, we will be throwing light on how Julia helps us achieve great results. Furthermore, we have divided this chapter into several subsections, which will make it easier for the reader to follow along:
- Working with data
- Linear...
