Top 5 Blogs Java EE developers should follow

One reason for Java's great success as a programming language is that it has dominated the Enterprise space. Earlier J2EE used to be the popular platform, but now we have a more modern and improved Java EE platform, with the latest release of Java EE 7. Java Platform, Enterprise Edition 7 provides new features that include enhanced HTML5 support, increases developer productivity, and further improves how enterprise demands can be met. One of the biggest advantages of Java EE 7 is the reduction of boilerplate code.

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Why use Underscore in Numbers from Java? Underscore in Numeric Literals Example

JDK 1.7 release had introduced several useful features, despite most of them being syntactic sugar, there use can greatly improve readability and code quality. One such feature is the introduction of underscores in numeric literals . From Java 7 onwards you can write a long digit e.g. 10000000000 to a more readable 1 0_000_000_000 in your Java source code. One of the most important reasons for using an underscore in numeric literal is avoiding subtle mistakes that are hard to figure out by looking at code. It's hard to notice a missing zero or extra zero between 10000000000 and 1000000000 , than 10_000_000_000 and 1_000_000_000 .
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3 ways to convert String to Boolean in Java? Examples

You can convert a String object to a Boolean object or boolean primitive by using the Boolean.valueOf() and Boolean.parseBoolean() method. The steps are similar rot converting to String to other data types  like  String to Integer and String to Long . You can use the  valueOf() method to convert String to Boolean object and parseBoolean() method to convert a given string to a boolean primitive value. Internally, valueOf() also uses parseBoolean() for parsing String but on top of that it also provides caching e.g. it can return Boolean.TRUE and Boolean.FALSE cached value for "true" and " false" strings. 
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Coursera's TensorFlow: Advanced Techniques Specialization Review [2022]

The market size of the artificial intelligence industry is expected to reach more than $299 billion in the year 2026. Companies are trying to involve this technology in their systems like the recommendation system in amazon that will recommend products related to your history purchases, which will generate more revenue or self-driving cars that will take the wheel for you, and the examples are endless.
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