Book description
A step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern tools
Key Features
- Work with powerful open-source libraries for data wrangling, analysis, and visualization
- Develop full-featured, full-stack web applications
- Learn to perform supervised and unsupervised machine learning and time series analysis with Julia
Book Description
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.
What you will learn
- Leverage Julia's strengths, its top packages, and main IDE options
- Analyze and manipulate datasets using Julia and DataFrames
- Write complex code while building real-life Julia applications
- Develop and run a web app using Julia and the HTTP package
- Build a recommender system using supervised machine learning
- Perform exploratory data analysis
- Apply unsupervised machine learning algorithms
- Perform time series data analysis, visualization, and forecasting
Who this book is for
Data 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.
Table of contents
- Title Page
- Copyright and Credits
- Dedication
- About Packt
- Contributors
- Preface
- Getting Started with Julia Programming
- Creating Our First Julia App
-
Setting Up the Wiki Game
- Technical requirements
- Data harvesting through web scraping
- Understanding HTML documents
- Accessing the internet from Julia
- Handling HTTP responses
- Understanding HTTP responses
- Dictionaries
- Using the HTTP response
- Coding defensively
- Handling errors like a pro
- Learning about functions
- Writing a basic web crawler – take one
- Carrying on with the crawler's implementation
- Summary
-
Building the Wiki Game Web Crawler
- Technical requirements
- Six Degrees of Wikipedia, the gameplay
- Organizing our code
- Setting up our game's architecture
- Building our Wikipedia crawler - take two
- Implementing the gameplay
- Finishing touches
- Learning about Julia's type system
- Using article types
- Methods
- Working with relational databases
- Summary
- Adding a Web UI for the Wiki Game
- Implementing Recommender Systems with Julia
- Machine Learning for Recommender Systems
- Leveraging Unsupervised Learning Techniques
-
Working with Dates, Times, and Time Series
- Technical requirements
- Working with dates and times
- Constructing dates and times
- Working with date and time accessors
- Defining the date ranges
- Period types and period arithmetic
- Date adjustments
- Rounding of dates
- Adding support for time zones
- Time series data in Julia
- Summary
- Time Series Forecasting
- Creating Julia Packages
- Other Books You May Enjoy
Product information
- Title: Julia Programming Projects
- Author(s):
- Release date: December 2018
- Publisher(s): Packt Publishing
- ISBN: 9781788292740
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