Kotlin is attracting attention as "a better Java" especially since Google backed it as a language for Android development. In this book, some chapters of which you can read on this site, Mike James introduces Kotlin to programmers. You don't have to be an expert programmer in Java or any other language, but you need to know the basics of programming and using objects.
<ASIN:1871962536>
While Kotlin is similar to Java and you can pick up much of the language as you go along, a deeper understanding will enable you to create better and more robust programs. As with all languages there are some subtle areas where an understanding of how things work makes all the difference.
Author: Mike James Publisher: I/O Press Date: September 2017 Pages: 194 ISBN: 978-1871962536 Print: 1871962536 Audience: Java programmers, Android developers and programmers wanting to discover why Kotlin is a better Java Level: Intermediate
![cover](http://www.i-programmer.info/images/stories/Core/OtherLang/Kotlin/cover.jpg)
- What makes Kotlin Special
- The Basics: Variables, Primitive Types and Functions
- Control
- Strings and Arrays
- The Class & The Object
- Inheritance
- The Type Hierarchy
- Generics
- Collections, Iterators, Sequences & Ranges
- Advanced functions
- Anonymous, Lamdas & Inline Functions
- Data classes, enums and destructuring
- Exceptions, Annotations & Reflection
- Working with Java
Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
To have new titles included in Book Watch contact BookWatch@i-programmer.info
Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)
Author: Oswald Campesato Publisher: Mercury Learning Date: February 2020 Pages: 300 ISBN: 978-1683924678 Print: 1683924673 Kindle: B084P1K9YP Audience: Developers interested in machine learning Rating: 4 Reviewer: Mike James
Another AI/ML book - is there room for another one?
|
Machine Learning with PyTorch and Scikit-Learn
Author: Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili Publisher: Packt Date: February 2022 Pages: 770 ISBN: 978-1801819312 Print: 1801819319 Kindle: B09NW48MR1 Audience: Python developers interested in machine learning Rating: 5 Reviewer: Mike James This is a very big book of machine le [ ... ]
| More Reviews |
|