Julia Programming Projects: Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web
bA step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern tools/b h4Key Features/h4 ulliWork with powerful open-source libraries for data wrangling, analysis, and visualization /li liDevelop full-featured, full-stack web appl...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bA step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern tools/b h4Key Features/h4 ulliWork with powerful open-source libraries for data wrangling, analysis, and visualization /li liDevelop full-featured, full-stack web applications /li liLearn to perform supervised and unsupervised machine learning and time series analysis with Julia /li /ul h4Book Description/h4 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. h4What you will learn/h4 ulliLeverage Julia's strengths, its top packages, and main IDE options /li liAnalyze and manipulate datasets using Julia and DataFrames /li liWrite complex code while building real-life Julia applications /li liDevelop and run a web app using Julia and the HTTP package /li liBuild a recommender system using supervised machine learning /li liPerform exploratory data analysis /li liApply unsupervised machine learning algorithms /li liPerform time series data analysis, visualization, and forecasting/li/ul h4Who this book is for/h4 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 |
| Beschreibung: | 1 Online-Ressource (500 Seiten) |
| ISBN: | 9781788297257 |
Internformat
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| 520 | |a bA step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern tools/b h4Key Features/h4 ulliWork with powerful open-source libraries for data wrangling, analysis, and visualization /li liDevelop full-featured, full-stack web applications /li liLearn to perform supervised and unsupervised machine learning and time series analysis with Julia /li /ul h4Book Description/h4 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. | ||
| 520 | |a 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. | ||
| 520 | |a h4What you will learn/h4 ulliLeverage Julia's strengths, its top packages, and main IDE options /li liAnalyze and manipulate datasets using Julia and DataFrames /li liWrite complex code while building real-life Julia applications /li liDevelop and run a web app using Julia and the HTTP package /li liBuild a recommender system using supervised machine learning /li liPerform exploratory data analysis /li liApply unsupervised machine learning algorithms /li liPerform time series data analysis, visualization, and forecasting/li/ul h4Who this book is for/h4 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 | ||
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| spelling | Salceanu, Adrian Verfasser aut Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web Salceanu, Adrian 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (500 Seiten) txt rdacontent c rdamedia cr rdacarrier bA step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern tools/b h4Key Features/h4 ulliWork with powerful open-source libraries for data wrangling, analysis, and visualization /li liDevelop full-featured, full-stack web applications /li liLearn to perform supervised and unsupervised machine learning and time series analysis with Julia /li /ul h4Book Description/h4 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. h4What you will learn/h4 ulliLeverage Julia's strengths, its top packages, and main IDE options /li liAnalyze and manipulate datasets using Julia and DataFrames /li liWrite complex code while building real-life Julia applications /li liDevelop and run a web app using Julia and the HTTP package /li liBuild a recommender system using supervised machine learning /li liPerform exploratory data analysis /li liApply unsupervised machine learning algorithms /li liPerform time series data analysis, visualization, and forecasting/li/ul h4Who this book is for/h4 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 COMPUTERS / Mathematical & Statistical Software COMPUTERS / Natural Language Processing |
| spellingShingle | Salceanu, Adrian Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web COMPUTERS / Mathematical & Statistical Software COMPUTERS / Natural Language Processing |
| title | Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web |
| title_auth | Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web |
| title_exact_search | Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web |
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| title_full | Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web Salceanu, Adrian |
| title_fullStr | Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web Salceanu, Adrian |
| title_full_unstemmed | Julia Programming Projects Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web Salceanu, Adrian |
| title_short | Julia Programming Projects |
| title_sort | julia programming projects learn julia 1 x by building apps for data analysis visualization machine learning and the web |
| title_sub | Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web |
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