Tips, Expertise, Articles and Advice from the Pro's for Your Website or Blog to Succeed
Written by Benjamin Steinert (@ben_steinert), Lean Java Expert @comsysto
Recently, I joined a software project with a Spring/Hibernate-based software stack, which is shipped in an SAAS-like manner, but the databases of the customers need to be separated from each other. Sounds easy for you? Ok let’s see what we have in detail.
Object-Oriented programming refers to the concept in high-level languages, such as Java and Python that uses Objects and classes in their implementations. OOP has four major building blocks which are, Polymorphism, Encapsulation, Abstraction, and Inheritance. There are other programming paradigms, such as Procedural programming in which code is written sequentially.
Python and Java are multi-paradigm high-level, programming languages. This means they support both OOP and procedural programming. A programmer decides on the paradigm to use based on their expertise and the problems they're trying to solve. However, there is no debate that OOP makes programming easier, faster, more dynamic, and secure. This is a major reason Java and Python are two fo the top most popular programming languages in the world today
Friday, December 17, 2021, marked the thirty-fourth birthday of the Perl programming language, and, coincidentally, this year saw the release of version 5.34. There are plenty of Perl developers out there who haven’t kept up with recent (and not-so-recent) improvements to the language and its ecosystem, so I thought I might list a batch. You may have seen some of these before in May’s post “Perl can do that now!”
feature PragmaPerl v5.10 was released in December 2007, and with it came feature, a way of enabling new syntax without breaking backward compatibility. You can enable individual features by name (e.g., use feature qw(say fc); for the say and fc keywords), or by using a feature bundle based on the Perl version that introduced them. For example, the following:
I mentioned at the Ephemeral Miniconf last month that as soon as I write about one Perl module (or five), someone inevitably brings up another (or seven) I’ve missed. And, of course, it happened again last week. No sooner had I written in passing that I was using Exception::Class than the denizens of the Libera Chat IRC #perl channel insisted I should use Throwable instead for defining my exceptions. I’ve already blogged about various ways of catching exceptions.
Why Throwable? Aside from Exception::Class’s author recommending it over his own work due to a “nicer, more modern interface,” Throwable is a Moo role, so it’s composable into classes along with other roles instead of mucking about with multiple inheritances. This means that if your exceptions need to do something reusable in your application like logging, you can also consume a role that does that and not have so much duplicate code. If you're wondering, no, I’m not going to pick a favorite logging module; I’ll probably get that wrong too.
Over the past two years, I've gotten back into playing Dungeons & Dragons, the famous tabletop fantasy role-playing game. As a software developer and musician, one of my favorite character classes to play is the bard, a magical and inspiring performer or wordsmith. The list of basic bardic spells includes Vicious Mockery, enchanting verbal barbs that have the power to psychically damage and disadvantage an opponent even if they don't understand the words. (Can you see why this is so appealing to a coder?)
Mocking has a role to play in software testing as well, in the form of mock objects that simulate parts of a system that are too brittle, too slow, too complicated, or otherwise too finicky to use in reality. They enable discrete unit testing without relying on dependencies external to the code being tested. Mocks are great for databases, web services, or other network resources where the goal is to test what you wrote, not what's out in "the cloud" somewhere.
I think this is the real point about Perl code readability: it gives you enough flexibility to do things however you like, and as a result many programmers are faced with a mirror that reflects their own bad practices back at them.
-orev, Hacker News
This is why Damian Conway's Perl Best Practices (2005) is one of my favorite books and perlcritic, the code analyzer is one of my favorite tools. Although, the former could do with an update and the latter includes policies that contradict Conway. Point perlcritic at your code, maybe add some other policies that agree with your house style, and gradually ratchet up the severity level from "gentle" to "brutal." All kinds of bad juju will come to light, from wastefully using grep to having too many subroutine arguments to catching private variable use from other packages. perlcritic offers a useful baseline of conduct and you can always customize its configuration to your own tastes.
Immutability is a special thing that in my mind deserves a short explanation and praise.
If you're familiar with functional programming you surely recognize the concept of immutability because it's a key ingredient of the paradigm. In the world of object-oriented programming, it's not as used and as easy to use approach but there are ways to incorporate immutability to parts of the code and I strongly suggest you do so too.
The basic idea of immutability is unchangeable data.
Design patterns are important as they help us solve general problems with software that people face during development. These patterns help us make code maintainable, extensible, and loosely coupled. One such design pattern is the Singleton Design pattern.
In simple terms, Singleton is a class that allows us only to create a single instance of it. It makes it impossible for us to instantiate the class for the second time.
This short article will compare abstract classes and traits as means of inheritance. This is for the beginner Scala programmer who is just getting started with Scala's inheritance model. If you're trying to figure out which is the best way to create OO-style type hierarchies and abstract classes seem too similar to traits, this article is for you.
You can read this article over at Rock the JVM or watch it on YouTube or in the video below:
This article series is for busy programmers who want to learn Scala fast, in 2 hours or less. The articles are the written version of Rock the JVM's Scala at Light Speed mini-course, which you can find for free on YouTube or on the Rock the JVM website in video form.
As anyone working in software could tell you, coding can get really complicated really quickly. Luckily for them (and us!), OOP is there to make things simpler—and, ultimately, to make apps and sites run better. What is OOP? OOP stands...
The post What is OOP? appeared first on Treehouse Blog.
Object-Oriented concepts and practices have a layered structure with both vertical and horizontal relationships between the layers and among items in each segment. The following chart shows this structure. The closer a layer is to the bottom of the inverted pyramid, the more important and fundamental it is.
As a reminder, the lowest layer consists of “Abstraction,” “Modularity,” “Encapsulation,” and “Hierarchy.” Those are the most fundamental tools in the Object-Oriented Paradigm; all other layers add more clarity to these principles. The second layer belongs to GRASP, an abbreviation for “General Responsibility Assignment Software Patterns.”
Almost everything in Javascript is an object, whether it’s an array or a function. In this post, we’ll learn three different ways to create objects in JavaScript:
You may also like: Object-Oriented JavaScript: Objects, Encapsulation, and Abstraction (With Examples).
A JavaScript object literal is a comma-separated list of name-value pairs wrapped in curly braces. Object literals encapsulate data, enclosing it in a tidy package.
PL/SQL is a procedural language — mostly. But it can also be used to implement object-oriented features in Oracle Database. In "from the ground up" object-oriented languages like Java, everything is defined in classes. In Oracle Database, we have object types.
In this post, I introduce you to the basics of object types and kick off a series exploring many of the features of these programming elements.
For the last 20 years, Java has become the most popular object-oriented language. It conquered the enterprise world and still has one of the biggest communities. Now industrial development exists only because of the object-oriented paradigm (OOP). But here, I want to bring up skepticism about its fundamental paradigm. First, let's return to the past when Java didn't exist.
You may also like: Misunderstanding OO Programming
A co-worker asked about code organization in Functional Programming. He's working with a bunch of Java developers in Node for a single AWS Lambda, and they're using the same style of classes, various design patterns, and other Object Oriented Programming ways of organizing code. He wondered if they used Functional Programming via just pure functions, how would they organize it?
If there is one thing I've learned about code organization, it's that everyone does it differently. The only accepted practice that seems to have any corroboration across languages is having a public interface for testing reasons. A public interface is anything that abstracts a lot of code that deals with internal details. It could be a public method for classes, a Facade or Factory design pattern, or functions from a module. All three will utilize many internal functions, but will only expose one function to use them. This can sometimes ensure as you add things and fix bugs, the consumers don't have to change their code when they update to your latest code. Side effects can still negatively affect this.
Five years ago when I started tracking media buzz around stateful architectures, I’d see a few articles every month about running stateful containers. That's about when Caitie McCaffrey first shared this awesome presentation about building scalable stateful architectures. Since then, the dominant software paradigm has become functional application design. The actor model and other object-oriented paradigms are still in use, but database-centric RESTful architectures are standard means of building web applications today.
However, the tides are beginning to shift. Due to innovations like the blockchain, growing demand for real-time applications, the digitization of OT assets, and the proliferation of cheap compute resources at the network edge; there’s renewed interest in decentralized application architectures. As such, there’s also been increased focus on stateful applications. For example, at least five Apache Foundation projects (Beam, Flink, Spark, Samza, and TomEE) are touting statefulness as a benefit today. Modern applications communicate across multiple application silos and must span real-world machines, devices, and distributed data centers around the world. Stateful application architectures provide a way to abstract away the logistical effort of state management, thereby reducing development and management effort necessary to operate massive-scale distributed applications.
For the rest of this post, I want to disprove the notion that building scalable, stateful applications is a task too complex for everyday Java developers. In order to illustrate how easily a stateful application can be setup, we’ll walk through a tutorial for building a simple to-do list using the Swim platform. You can find all the source code for the to-do list tutorial here on GitHub.
Object-oriented programming is a paradigm that allows you to write a program by modeling real-world things in terms of class and object. It not only effectively represents real-world applications but also allows you to manage the complexity of your program.
Even though there are several programming paradigms, e.g. procedural and functional, most of the code we write today is object-oriented, and some of the most of popular programming languages out there are object-oriented, e.g. Java, Python, PHP, and JavaScript.
