Julia As a Second Language

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Description of Julia As a Second Language

Julia as a Second Language covers:
Data types like numbers, strings, arrays, and dictionariesImmediate feedback with Julia's read-evaluate-print-loop (REPL)Simplify code interactions with multiple dispatchSharing code using modules and packagesObject-oriented and functional programming styles

Julia as a Second Language introduces Julia to readers with a beginning-level knowledge of another language like Python or jvascript. You'll learn by coding engaging hands-on projects that encourage you to apply what you're learning immediately. Don't be put off by Julia's reputation as a scientific programming language-there's no data science or numerical computing knowledge required. You can get started with what you learned in high school math classes.

About the Technology
Originally designed for high-performance data science, Julia has become an awesome general purpose programming language. It offers developer-friendly features like garbage collection, dynamic typing, and a flexible approach to concurrency and distributed computing. It is the perfect mix of simplicity, flexibility and performance.
About the Book

What's Inside
Data types like numbers, strings, arrays, and dictionariesImmediate feedback with Julia's read-evaluate-print-loop (REPL)Simplify code interactions with multiple dispatchShare code using modules and packages
About the Reader
For readers comfortable with another programming language like Python, jvascript, or C#.
About the Author
Erik Engheim is a writer, conference speaker, video course author, and software developer.
Table of Contents
PART 1 - BASICS
1 Why Julia?
2 Julia as a calculator
3 Control flow
4 Julia as a spreadsheet
5 Working with text
6 Storing data in dictionaries
PART 2 - TYPES
7 Understanding types
8 Building a rocket
9 Conversion and promotion
10 Representing unknown values
PART 3 - COLLECTIONS
11 Working with strings
12 Understanding Julia collections
13 Working with sets
14 Working with vectors and matrices
PART 4 - SOFTWARE ENGINEERING
15 Functional programming in Julia
16 Organizing and modularizing your code
PART 5 - GOING IN DEPTH
17 Input and output
18 Defining parametric types