In this chapter, we revisited programming paradigms to understand the best approach to the problem. We then explored Julia using the REPL and found out that it is quite easy to get started with Julia. In subsequent sections, we went through the concepts and how primitive data types are used and operated in Julia. After studying integers and floating point operations, we went through important and widely used data structures, arrays, and matrices. Multidimensional arrays used in numerical computing were explained in the section that followed. After arrays, we explored DataArray and DataFrame packages, which are more suited to representing real-world data and are widely used in statistical computing. In the next chapter, we will study functions in Julia.
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