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Julia Programming Projects
Julia Programming Projects

Julia Programming Projects: Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web

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Julia Programming Projects

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Key benefits

  • 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

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.

Who is this book 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.

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
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 26, 2018
Length: 500 pages
Edition : 1st
Language : English
ISBN-13 : 9781788292740
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Product Details

Publication date : Dec 26, 2018
Length: 500 pages
Edition : 1st
Language : English
ISBN-13 : 9781788292740
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total 10,576.97
Julia 1.0 Programming Cookbook
₹3649.99
Julia Programming Projects
₹3649.99
Julia 1.0 Programming
₹3276.99
Total 10,576.97 Stars icon

Table of Contents

12 Chapters
Getting Started with Julia Programming Chevron down icon Chevron up icon
Creating Our First Julia App Chevron down icon Chevron up icon
Setting Up the Wiki Game Chevron down icon Chevron up icon
Building the Wiki Game Web Crawler Chevron down icon Chevron up icon
Adding a Web UI for the Wiki Game Chevron down icon Chevron up icon
Implementing Recommender Systems with Julia Chevron down icon Chevron up icon
Machine Learning for Recommender Systems Chevron down icon Chevron up icon
Leveraging Unsupervised Learning Techniques Chevron down icon Chevron up icon
Working with Dates, Times, and Time Series Chevron down icon Chevron up icon
Time Series Forecasting Chevron down icon Chevron up icon
Creating Julia Packages Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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(10 Ratings)
5 star 70%
4 star 0%
3 star 0%
2 star 20%
1 star 10%
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Kota Mori Mar 02, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book covers various tips about the Julia language: from installation, REPL, data types, and all the way through package development. I find the last part -- package development -- is quite unique for this book. I would recommend this book to people who are looking for "Advanced R" and/or "R packages" for Julia; Like the Wickham's books, this book helps one to turn a user into a developer.I would also note that this book does not cover so much about data science and statistics. If you want to learn data analysis in Julia, there would be better choice than this book.
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Jim and Virginia Davidson Jan 24, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is a great place to begin learning Julia if you have some background in programming. I am quite new to Julia, but have programmed in Matlab, Fortran, Python, C#, etc.I have not yet read all the book, but so far, have found it very well done. The text seems accurate based on my experience with Julia, up to date, and the examples and projects are helpful. The writing style is easy to follow. 5 stars for sure!
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dougfort Feb 08, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The projects are clear, detailed and show production quality code.
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Amazon Customer Feb 07, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Bom livro sobre a linguagem Julia.
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Massimiliano Bertinetti Aug 11, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Thank you Adrian for this clear guide for starting with Julia Programming!
Amazon Verified review Amazon
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