Julia Programming Projects

A step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern toolsKey FeaturesWork with powerful open-source libraries for data wrangling analysis and visualizationDevelop full-featured full-stack web applications Learn to perform supervised and unsupervised machine learning and time series analysis with JuliaBook DescriptionJulia 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.What you will learnLeverage Julia's strengths its top packages and main IDE optionsAnalyze and manipulate datasets using Julia and DataFramesWrite complex code while building real-life Julia applicationsDevelop and run a web app using Julia and the HTTP packageBuild a recommender system using supervised machine learning Perform exploratory data analysis Apply unsupervised machine learning algorithmsPerform time series data analysis visualization and forecastingWho this book is forData scientists statisticians business analysts and developers who are interested in learning how to use Julia to crunch numbers analyze data and build apps will find this book useful. A basic knowledge of programming is assumed. About the Author Adrian Salceanu has been a professional software developer for over 15 years. For the last 10 years he has been leading agile teams in developing real-time data-intensive web and mobile products. Adrian is a public speaker and an enthusiastic contributor to the open source community focusing on high-performance web development. He is the organizer of the Barcelona Julia Users group and the creator of Genie a high-performance highly productive Julia web framework. Adrian has a master's degree in computing and a postgraduate degree in advanced computer science.