Description:Key Features
Build statistical models with linear regression and analysis of variance (ANOVA)
Create your own modules and contribute to the Julia package system
Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization
Book Description Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second. This book will help you develop and enhance your programming skills in Julia to solve real-world automation challenges.This book starts off with a refresher on installing and running Julia on different platforms. Next, you will compare the different ways of working with Julia and explore Julia's key features in-depth by looking at design and build. You will see how data works using simple statistics and analytics, and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks and observe how Julia can cooperate with external processes in order to enhance graphics and data visualization. Finally, you will look into meta-programming and learn how it adds great power to the language and establish networking and distributed computing with Julia. What You Will Learn
Install and build Julia and configure it with your environment
Build a data science project through the entire cycle of ETL, analytics, and data visualization
Understand the type system and principles of multiple dispatch for a better coding experience in Julia
Interact with data files and data frames to study simple statistics and analytics
Display graphics and visualizations to carry out modeling and simulation in Julia
Use Julia to interact with SQL and NoSQL databases
Work with distributed systems on the Web and in the cloud
Develop your own packages and contribute to the Julia Community
About the Author Malcolm Sherrington has been working in computing for over 35 years. He currently runs his own company in the finance sector, and is particularly interested in High Performance Computing and applications of GPUs and parallelism. Malcolm is also the organizer of the London Julia User Group, and co-organizer of the UK High Performance Computing and the financial engineers and Quant London meetup groups. Table of Contents
The Julia Environment
Developing in Julia
Types and Dispatch
Interoperability
Working with Data
Scientific Programming
Graphics
Databases
Networking
Working with JuliaWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Mastering Julia - Tackle the Contemporary Challenges of Programming and Data Science with Julia. To get started finding Mastering Julia - Tackle the Contemporary Challenges of Programming and Data Science with Julia, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
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ISBN
1783553324
Mastering Julia - Tackle the Contemporary Challenges of Programming and Data Science with Julia
Description: Key Features
Build statistical models with linear regression and analysis of variance (ANOVA)
Create your own modules and contribute to the Julia package system
Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization
Book Description Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second. This book will help you develop and enhance your programming skills in Julia to solve real-world automation challenges.This book starts off with a refresher on installing and running Julia on different platforms. Next, you will compare the different ways of working with Julia and explore Julia's key features in-depth by looking at design and build. You will see how data works using simple statistics and analytics, and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks and observe how Julia can cooperate with external processes in order to enhance graphics and data visualization. Finally, you will look into meta-programming and learn how it adds great power to the language and establish networking and distributed computing with Julia. What You Will Learn
Install and build Julia and configure it with your environment
Build a data science project through the entire cycle of ETL, analytics, and data visualization
Understand the type system and principles of multiple dispatch for a better coding experience in Julia
Interact with data files and data frames to study simple statistics and analytics
Display graphics and visualizations to carry out modeling and simulation in Julia
Use Julia to interact with SQL and NoSQL databases
Work with distributed systems on the Web and in the cloud
Develop your own packages and contribute to the Julia Community
About the Author Malcolm Sherrington has been working in computing for over 35 years. He currently runs his own company in the finance sector, and is particularly interested in High Performance Computing and applications of GPUs and parallelism. Malcolm is also the organizer of the London Julia User Group, and co-organizer of the UK High Performance Computing and the financial engineers and Quant London meetup groups. Table of Contents
The Julia Environment
Developing in Julia
Types and Dispatch
Interoperability
Working with Data
Scientific Programming
Graphics
Databases
Networking
Working with JuliaWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Mastering Julia - Tackle the Contemporary Challenges of Programming and Data Science with Julia. To get started finding Mastering Julia - Tackle the Contemporary Challenges of Programming and Data Science with Julia, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.