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Julia Programming Projects

Julia Programming Projects

By : Adrian Salceanu
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Julia Programming Projects

Julia Programming Projects

4 (10)
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 (13 chapters)
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Understanding recommender systems

In its broadest definition, a recommender system (RS) is a technique that's used for providing suggestions for items that are useful to a person. These suggestions are meant to help in various decision-making processes, usually related to buying or consuming a certain category of products or services. They can be about buying a book, listening to a song, watching a movie, eating out at a certain restaurant, reading a news article, or picking the hotel for your next holiday.

People have relied on recommendations pretty much since the beginning of history. Some RS researchers talk about the first recommendations as being the first orally transmitted information about dangerous plants, animals, or places. Others think that recommendations systems functioned even before language, by simply observing the effects on other humans of consuming plants...

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