Author: Simon Morris Publisher: Manning, 2009 Pages: 375
ISBN: 978-1933988993 Aimed at: Beginners with Java FX Rating: 4 Pros: A good book on Java FX 1.2 Cons: Not future-proof as Java FX changing Reviewed by: Ian Elliot
If you are planing to use Java FX in the near future this is a good book but in the longer term?
Author: Simon Morris Publisher: Manning, 2009 Pages: 375
ISBN: 978-1933988993 Aimed at: Beginners with Java FX Rating: 4 Pros: A good book on Java FX 1.2 Cons: Not future-proof as Java FX changing Reviewed by: Ian Elliot
This is a nice book spoiled by the technology it covers. JavaFX is in a state of limbo in the sense that the fundamental way of using JavaFX Script is to be dropped. The next version of JavaFX, i.e. 2.0 which should be available sometime in mid 2011, will provide a Java API and discontinue JavaFX Script. As this and most other JavaFX books are based around the use of JavaFX Script this makes them less than future-proof.
At best all you can say is that reading JavaFX in Action you can get a background feel for JavaFX - how to us it and what it can do. Of course you can still try out all of the examples and continue to develop using JavaFX Script as the book shows you how to but at the end of the day you know that you are going to have to re-learn and reimplement it all when JavaFX 2.0 makes the discontinuous change.
The sad part is that this is as good a book as you could wish for on JavaFX 1.2. It covers the basics JavaFX script, 3D, video, controls, web services, creating an applet, graphics on mobile phones, and using JavaFX from Java.
It may be a good book but the turmoil in the JavaFX world means that unless you want to get ahead with version 1.2. it would be better to wait until after version 2.0 was released.
Learn to Code by Solving Problems
Author: Dr. Daniel Zingaro Publisher: No Starch Press Date: June 2021 Pages: 335 ISBN: 978-1718501324 Print: 1718501323 Kindle: B08FH92YL8 Audience: People wanting to learn Python Rating: 4 Reviewer: Mike James Solving problems - sounds good?
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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 [ ... ]
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