Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

A quick guide to start writing your own fun and useful Julia apps—no prior experience required!

This engaging guide shows, step by step, how to build custom programs using Julia, the open-source, intuitive scripting language. Written by 15-year-old technology phenom Tanmay Bakshi, the book is presented in an accessible style that makes learning easy and enjoyable. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a look at cutting-edge machine learning applications. You will also discover how to interface your Julia apps with code written in Python.

Inside, you’ll learn to:

• Set up and configure your Julia environment
• Get up and running writing your own Julia apps
• Define variables and use them in your programs
• Use conditions, iterations, for-loops, and while-loops
• Create, go through, and modify arrays
• Build an app to manage things you lend and get back from your friends
• Create and utilize dictionaries
• Simplify maintenance of your code using functions
• Apply functions on arrays and use functions recursively and generically
• Understand and program basic machine learning apps

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

A quick guide to start writing your own fun and useful Julia apps—no prior experience required!

This engaging guide shows, step by step, how to build custom programs using Julia, the open-source, intuitive scripting language. Written by 15-year-old technology phenom Tanmay Bakshi, the book is presented in an accessible style that makes learning easy and enjoyable. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a look at cutting-edge machine learning applications. You will also discover how to interface your Julia apps with code written in Python.

Inside, you’ll learn to:

• Set up and configure your Julia environment
• Get up and running writing your own Julia apps
• Define variables and use them in your programs
• Use conditions, iterations, for-loops, and while-loops
• Create, go through, and modify arrays
• Build an app to manage things you lend and get back from your friends
• Create and utilize dictionaries
• Simplify maintenance of your code using functions
• Apply functions on arrays and use functions recursively and generically
• Understand and program basic machine learning apps

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

A quick guide to start writing your own fun and useful Julia apps—no prior experience required!

This engaging guide shows, step by step, how to build custom programs using Julia, the open-source, intuitive scripting language. Written by 15-year-old technology phenom Tanmay Bakshi, the book is presented in an accessible style that makes learning easy and enjoyable. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a look at cutting-edge machine learning applications. You will also discover how to interface your Julia apps with code written in Python.

Inside, you’ll learn to:

• Set up and configure your Julia environment
• Get up and running writing your own Julia apps
• Define variables and use them in your programs
• Use conditions, iterations, for-loops, and while-loops
• Create, go through, and modify arrays
• Build an app to manage things you lend and get back from your friends
• Create and utilize dictionaries
• Simplify maintenance of your code using functions
• Apply functions on arrays and use functions recursively and generically
• Understand and program basic machine learning apps