In this chapter, we explored a lot of material. We learned how the I/O system in Julia is constructed, how to work with files and DataFrames, and how to connect with databases using ODBC. The basics of network programming in Julia was also discussed, and then we got an overview of the parallel computing functionality, from the primitive operations to map-reduce functions and distributed arrays. In the next chapter, we will take a look at how Julia interacts with the command line and with other languages, and discuss some performance tips.
Getting Started with Julia
By :
Getting Started with Julia
By:
Overview of this book
Table of Contents (19 chapters)
Getting Started with Julia
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
The Rationale for Julia
Free Chapter
Installing the Julia Platform
Variables, Types, and Operations
Functions
Control Flow
Collection Types
More on Types, Methods, and Modules
Metaprogramming in Julia
I/O, Networking, and Parallel Computing
Running External Programs
The Standard Library and Packages
List of Macros and Packages
Index
Customer Reviews