Book Image

Julia Programming Projects

By : Adrian Salceanu
Book Image

Julia Programming Projects

By: Adrian Salceanu

Overview of this book

Julia is a new programming language that offers a unique combination of performance and productivity. Its powerful features, friendly syntax, and speed are attracting a growing number of adopters from Python, R, and Matlab, effectively raising the bar for modern general and scientific computing. After six years in the making, Julia has reached version 1.0. Now is the perfect time to learn it, due to its large-scale adoption across a wide range of domains, including fintech, biotech, education, and AI. Beginning with an introduction to the language, Julia Programming Projects goes on to illustrate how to analyze the Iris dataset using DataFrames. You will explore functions and the type system, methods, and multiple dispatch while building a web scraper and a web app. Next, you'll delve into machine learning, where you'll build a books recommender system. You will also see how to apply unsupervised machine learning to perform clustering on the San Francisco business database. After metaprogramming, the final chapters will discuss dates and time, time series analysis, visualization, and forecasting. We'll close with package development, documenting, testing and benchmarking. By the end of the book, you will have gained the practical knowledge to build real-world applications in Julia.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
About Packt


Julia provides a broad range of primitive numeric types, together with the full range of arithmetic and bitwise operators and standard mathematical functions. We have at our disposal a rich hierarchy of numeric types, with the most generic being Number—which defines two subtypes, Complex and Real. Conversely, Real has four subtypes—AbstractFloat, Integer, Irrational, and Rational. Finally, Integer branches into four other subtypes—BigInt, Bool, Signed, and Unsigned.

Let's take a look at the most important categories of numbers.



Literal integers are represented simply as follows:

julia> 42

The default Integer type, called Int, depends on the architecture of the system upon which the code is executed. It can be either Int32 or Int64. On my 64-bit system, I get it as follows:

julia> typeof(42) 

The Int type will reflect that, as it's just an alias to either Int32 or Int64:

julia> @show Int 
Int = Int64 

Overflow behavior

The minimum and maximum values are given by the...