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

Data analysis of the San Francisco business

As our learning project for this chapter, let's imagine that we have been hired by a new client, the famous ACME Recruiting. They are a major HR company and want to open a new office in San Francisco. They are working on a very ambitious marketing strategy to accompany their launch. ACME wants to run outdoor campaigns via billboards; employ transit advertising with posters on buses, taxis, and bikes; and use direct mail by sending leaflets via snail mail.

They're targeting business clients and came to us to help them with two things:

  • They want to know the best areas to run their campaign where to place the billboards, on what bus lines to place the ads and to what mail addresses to send the leaflets.
  • They would like to understand the market's recruiting needs so that they can get in touch with professionals with the required qualifications.

Our plan is to use a database with information about the companies registered in San Francisco and employ unsupervised...