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
Dedication
About Packt
Contributors
Preface
Index

Contributors

About the author

Adrian Salceanuhas been a professional software developer for over 15 years. For the last 10, he's 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's 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.

To my family, for their understanding and support during the long weekends I spent writing.  To Antony and Richard, for creating a work environment that encourages personal and professional growth. It is a privilege to be a part of the OLBG team. To the Julia community, for their amazing work and their continuous efforts in growing Julia, and for being so helpful and welcoming. To the creators of the open source software used in the book; your work is priceless. To the Julia contributors, for their support and patience in helping me throughout my journey.

 

About the reviewers

David Buchaca Prats is a mathematician who focuses his passion toward building more efficient artificial neural networks. The difficulty of implementing efficient models led him to love the Julia programming language, which allows scientists to write concise code for doing so quickly.

 

Zhuo Qingliang (also known as KDr2 online) is presently working at paodingai.com, a start-up fintech company in China that is dedicated to improving the financial industry by using artificial intelligence technologies. He has over 10 years of experience in Linux, C, C++, Java, Python, and Perl development. He is interested in programming, consulting work, and contributing to the open source community (including, of course, the Julia community).

He maintains a personal website at http://kdr2.com; you can find out more about him there.

 

 

 

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