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Mastering Julia
Malcolm Sherrington
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Mastering JuliaMalcolm Sherrington
This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills with Julia and skills in coding in a scripting language such as Python or R, or a compiled language such as C or Java.
This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills with Julia and skills in coding in a scripting language such as Python or R, or a compiled language such as C or Java.
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This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills with Julia and skills in coding in a scripting language such as Python or R, or a compiled language such as C or Java.
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出版社Packt Publishing
出版时间2015年7月
字数507,443
分类计算机-编程设计
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Mastering Julia
Malcolm Sherrington
- 扉页
- 版权信息+书签
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- Chapter 1. The Julia Environment
- Introduction
- Getting started
- A quick look at some Julia
- Package management
- What makes Julia special
- Summary
- Chapter 2. Developing in Julia
- Integers, bits, bytes, and bools
- Arrays
- Char and strings
- Real, complex, and rational numbers
- Composite types
- More about matrices
- Data arrays and data frames
- Dictionaries, sets, and others
- Summary
- Chapter 3. Types and Dispatch
- Functions
- Julia s type system
- Enumerations (revisited)
- Multiple dispatch
- Summary
- Chapter 4. Interoperability
- Interfacing with other programming environments
- Metaprogramming
- Tasks
- Executing commands
- Summary
- Chapter 5. Working with Data
- Basic I/O
- Structured datasets
- DataFrames and RDatasets
- Statistics
- Selected topics
- Summary
- Chapter 6. Scientific Programming
- Linear algebra
- Signal processing
- Differential equations
- Optimization problems
- Stochastic problems
- Summary
- Chapter 7. Graphics
- Basic graphics in Julia
- Data visualization
- Graphic engines
- Using the Web
- Raster graphics
- Summary
- Chapter 8. Databases
- A basic view of databases
- Relational databases
- NoSQL datastores
- RESTful interfacing
- Summary
- Chapter 9. Networking
- Sockets and servers
- Working with the Web
- Messaging
- Cloud services
- Summary
- Chapter 10. Working with Julia
- Under the hood
- Performance tips
- Developing a package
- Community groups
- What s missing?
- Summary
- Index
Mastering Julia
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