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

Time series data in Julia

A time series is a collection of observations of well-defined data items obtained via repeated measurements over time. This collection of quantitative observations is ordered, allowing us to understand the underlying structure. Examples of such data include the daily closing price of a company's stock, quarterly sales figures for a retailer, continuous monitoring of a person's blood glucose levels, or hourly air temperatures.

Julia's package ecosystem provides a powerful functionality for working with time series through the TimeSeries package. The package provides an extensive API that covers the full range of tasks, from reading and writing CSV files with temporal data, to filtering and segmenting time series, to mathematical and logical operators, and plotting. Let's add it to our toolbox:

julia> using Pkg 
pkg> add TimeSeries 

Now, let's get some time series data. The easiest thing we can do is to reach for the MarketData package, it provides open source...