#difference between c++ and java

[tripta-123]

C++ vs Java: Key differences, similarities and benefits

Discover the key differences between C++ and Java with fundamental differences in their syntax, performance, memory management, and more.

[orcelito]

Ended up not doing any schoolwork last night lol (can't really be blamed for that tho after writing an entire essay exam And prepping & giving a final presentation earlier in the day yesterday) BUT I finished my persuasion exam on time today. Unless I did terribly on it (unlikely) I probably won't take the optional final exam for this class (which would allow for the lowest of 4 exams to be dropped)(if I do well on all 3 midterms there's really no point to taking the final) WHICH MEANS I'm probably done with my persuasion classwork now

Just data governance and gender communication left. Gotta finish my part of the report today and then read 1.5 books by Monday. Gonna be reading a Lot over this weekend lmfao. I'll manage.

First tho I have my cats' vet appointment today. It Should be fine... and it reduces a lot of anxiety now that I have a car (I always felt weird taking my cats in the Lyft rides and I'd feel EXTRA weird taking Two cats. Not a concern now). It said in the email tho to bring stool samples (smth they didn't tell me on the calls??) and I've got one for Tally but I need to try to get one for June. Idk whether they Actually need it but i wanna b sure just in case. And Also after the disastrous arrival to my failed gynecology appointment on Monday, im like. Extra Cautious about being on time. So I'm gonna leave Plenty early. And maybe just bring one of the books I have to read so I have smth to do while I wait.

Which Means I have maybe an hour before I have to start getting ready to leave. Not quite enough time to really get into the data governance report, but I could potentially start it??? Feels wrong to just do Nothing with the time given how much shit I have to get done today. Also gonna email my advisor I think, if the course override request hasn't processed yet. I did manage to add a C/C++ coding class for UNIX/Linux systems to my schedule, so I have Two of the classes I need to graduate. There are spots in the front end web coding class available that works with my schedule but it's restricted by major for some reason?? Even tho I'm in that damn major???? And last I checked they hadn't approved my override request. So I'm gonna check again and if it's Still not approved I'll email my advisor like "heyyy is there anything we can do about this?" Bc there's not many other classes available that work with my schedule, accomplish the requirement of being upper level division, I haven't already taken, i have the required pre-requisites, AND that don't have some stupid major restriction on it. Like this one's basically the only one that works for the other 4, but that stupid major restriction getting in my way... and it's not like it's even in high demand 😭😭😭 the class is only half filled from what I've seen online 😭😭😭😭 just let me into ur damn class so I can graduate, God.

[ms-demeanor]

(remaking the post because you can't edit polls and i gave the wrong options)

Alright I'm registering for classes and someone needs to talk me out of doing stupid shit but I'm unsure of what shit is stupidest.

Winter term:

I just finished an 8-week photo class that ended up being a huge investment in time just to go and shoot. However that was introductory photography and there is a 6-week intermediate photography class over winter term. I am signed up for photography. (Elective option for AA in Visual Arts)

There is also a 6-week introductory python course over winter term that I am signed up for and will be taking. I'm solid on that one, as long as I pass my C# class this term I'm going to be taking Python for 6 weeks at the beginning of the year.

Spring term:

College Chemistry Saturday class. 7am to 12pm for sixteen weeks. Lab and lecture; this school doesn't offer any chem classes that are after standard 9-5 hours during the regular week or that can be taken even partially online. Pretty sure I'm going to be stuck with this one and am configuring the rest of my schedule around being *less* miserable because of this class.

Survey of Western Art - Online, seems like a gimme. Does have a textbook but not one that I'm going to pay for. (Required for AA in Visual Arts)

2-Dimensional Design - Online, seems fun and like a gimme, Free/No textbook. (Required for AA in Visual Arts)

Object-Oriented Programming - Online, seems difficult, expensive textbook. Will probably be very necessary if I end up going down a more CS/tech path. Probably going to force myself to take this class.

Java Programming - Online, seems not unapproachable, expensive textbook. I don't particularly wanna but my school offers really limited options for computer science and I want to get what I can out of it before I go somewhere else.

Rationale for these weird combinations:

I'm applying as a nursing student at three schools and a biochem student at one of those schools (nutrition programs are apparently only for first-time students; 2nd Bachelor's applications are a lot more limited. I could apply to major in Francophone Studies at one of the schools though). Supposing I get accepted, these classes certainly won't hurt my status at any school that accepts me and the chemistry class is going to be really really necessary. This is the "i give a fuck about nutrition science and also directly helping people" path and if I go this way I'm interested in NP programs down the line. LOTS more school of the serious "I can't work and do this kind of school at the same time" variety.

If I *don't* get accepted to the programs I'm applying to, I'm going to go to a different community college and start working on a couple of AS degrees in computer junk (network admin and security management, computer and networking technology) and get some computer junk certs. I don't think I want/need a BS in compute science, this is the "practical" route of "I could finish this stuff pretty easily and continue working in a field where I have a lot of connections and familiarity with the industry but I am indifferent about a lot of it (pretty passionate about security and accessibility tho). Also allows me to keep working while I just churn school in the background, and all of the computer classes are transferable between the two schools.

Art classes: I think having multiple degrees is funney. I am currently 5 classes away from an AA in visual arts, at the end of this term I will be 4 classes away; if I take all the classes here and can take an elective over the summer I'll have a degree in visual arts. (There is a reasonable possibility that I'll continue taking bullshit classes behind the scenes to get silly degrees regardless of what happens otherwise)

Pretty sure the sensible thing is to drop *at least* photography and survey of western art and also possibly Java and 2D design. I'm somewhat concerned that if my spring term is just Saturday chem and object oriented programming I will start biting things.

So:

[dubaiwebsitedesignss]

What Is The Difference Between Web Development & Web Design?

In today’s world, we experience the growing popularity of eCommerce businesses. Web designing and web development are two major sectors for making a difference in eCommerce businesses. But they work together for publishing a website successfully. But what’s the difference between a web designers in Dubai and a web developer?

Directly speaking, web designers design and developers code. But this is a simplified answer. Knowing these two things superficially will not clear your doubt but increase them. Let us delve deep into the concepts, roles and differentiation between web development and website design Abu Dhabi.

What Is Meant By Web Design?

A web design encompasses everything within the oeuvre of a website’s visual aesthetics and utility. This might include colour, theme, layout, scheme, the flow of information and anything related to the visual features that can impact the website user experience.

With the word web design, you can expect all the exterior decorations, including images and layout that one can view on their mobile or laptop screen. This doesn’t concern anything with the hidden mechanism beneath the attractive surface of a website. Some web design tools used by web designers in Dubai which differentiate themselves from web development are as follows:

● Graphic design

● UI designs

● Logo design

● Layout

● Topography

● UX design

● Wireframes and storyboards

● Colour palettes

And anything that can potentially escalate the website’s visual aesthetics. Creating an unparalleled yet straightforward website design Abu Dhabi can fetch you more conversion rates. It can also gift you brand loyalty which is the key to a successful eCommerce business.

What Is Meant By Web Development?

While web design concerns itself with all a website’s visual and exterior factors, web development focuses on the interior and the code. Web developers’ task is to govern all the codes that make a website work. The entire web development programme can be divided into two categories: front and back.

The front end deals with the code determining how the website will show the designs mocked by a designer. While the back end deals entirely with managing the data within the database. Along with it forwarding the data to the front end for display. Some web development tools used by a website design company in Dubai are:

● Javascript/HTML/CSS Preprocessors

● Template design for web

● GitHub and Git

● On-site search engine optimisation

● Frameworks as in Ember, ReactJS or Angular JS

● Programming languages on the server side, including PHP, Python, Java, C#

● Web development frameworks on the server side, including Ruby on Rails, Symfony, .NET

● Database management systems including MySQL, MongoDB, PostgreSQL

Web Designers vs. Web Developers- Differences

You must have become acquainted with the idea of how id web design is different from web development. Some significant points will highlight the job differentiation between web developers and designers.

Generally, Coding Is Not A Cup Of Tea For Web Designers:

Don’t ever ask any web designers in Dubai about their coding knowledge. They merely know anything about coding. All they are concerned about is escalating a website’s visual aspects, making them more eyes catchy.

For this, they might use a visual editor like photoshop to develop images or animation tools and an app prototyping tool such as InVision Studio for designing layouts for the website. And all of these don’t require any coding knowledge.

Web Developers Do Not Work On Visual Assets:

Web developers add functionality to a website with their coding skills. This includes the translation of the designer’s mockups and wireframes into code using Javascript, HTML or CSS. While visual assets are entirely created by designers, developer use codes to implement those colour schemes, fonts and layouts into the web page.

Hiring A Web Developer Is Expensive:

Web developers are more expensive to hire simply because of the demand and supply ratio. Web designers are readily available as their job is much simpler. Their job doesn’t require the learning of coding. Coding is undoubtedly a highly sought-after skill that everyone can’t entertain.

Final Thoughts:

So if you look forward to creating a website, you might become confused. This is because you don’t know whether to opt for a web designer or a developer. Well, to create a website, technically, both are required. So you need to search for a website design company that will offer both services and ensure healthy growth for your business.

[guiltiest-gear]

If you don't know the answer that's fine but I wanted to ask about Minecraft coding. I heard the reason Bedrock exists was to rebuild Minecraft from the ground up without Java code because Java as a language just fucking sucks, but whenever I hear anything about Bedrock, it has like 500x more game breaking bugs a week than what Java usually deals with, which seems counterintuitive, any idea why that's the case or is it just something I am misunderstanding

See, there's a thing in programming I like to call "Everyone is stupid except me"

Everyone thinks some language is the final solution to something, when in reality it has just as many problems as the language that was previously used for the problem, which was supposed to be the solution to the problem, and then the same for the one before it, and so on

This is the same issue at play here

While yes, it's true, Java code sucks major ass because of how verbose it is, and how it forces everything into an object oriented programming paradigm, and how Java actually runs in a virtual machine

Java files aren't actually compiled to machine code, but instead .class files, which is Java bytecode (which is essentially an intermediate step between the language and machine code), which are then interpreted by the JVM (Java Virtual Machine)

To my knowledge, Bedrock Edition has a C++ codebase, which directly compiles to machine code, meaning (in theory) better performance, as there's no stupid overhead from having a language virtual machine

However, because of differences in how Java and C++ work, you get slightly differences between the games, especially in the physics engines and how math is done between the two

This creates the problem I described earlier "Everyone is stupid except me"

It can't be denied that Java Edition has a more mature codebase, as it's literally existed longer than Bedrock Edition, and so it's likely to be more stable in a sense

However, Java as a language still sucks balls, no matter how old the code is

A C++ rewrite is supposed to fix the issues with Java being an absolute kick in the balls to work with, but C++ itself has its own issues, and due to differences in the language and the younger, less mature codebase, there are more game-breaking bugs that have yet to be ironed out

In short, XKCD 927

[simerjeet]

Mastering Data Structures: A Comprehensive Course for Beginners

Data structures are one of the foundational concepts in computer science and software development. Mastering data structures is essential for anyone looking to pursue a career in programming, software engineering, or computer science. This article will explore the importance of a Data Structure Course, what it covers, and how it can help you excel in coding challenges and interviews.

1. What Is a Data Structure Course?

A Data Structure Course teaches students about the various ways data can be organized, stored, and manipulated efficiently. These structures are crucial for solving complex problems and optimizing the performance of applications. The course generally covers theoretical concepts along with practical applications using programming languages like C++, Java, or Python.

By the end of the course, students will gain proficiency in selecting the right data structure for different problem types, improving their problem-solving abilities.

2. Why Take a Data Structure Course?

Learning data structures is vital for both beginners and experienced developers. Here are some key reasons to enroll in a Data Structure Course:

a) Essential for Coding Interviews

Companies like Google, Amazon, and Facebook focus heavily on data structures in their coding interviews. A solid understanding of data structures is essential to pass these interviews successfully. Employers assess your problem-solving skills, and your knowledge of data structures can set you apart from other candidates.

b) Improves Problem-Solving Skills

With the right data structure knowledge, you can solve real-world problems more efficiently. A well-designed data structure leads to faster algorithms, which is critical when handling large datasets or working on performance-sensitive applications.

c) Boosts Programming Competency

A good grasp of data structures makes coding more intuitive. Whether you are developing an app, building a website, or working on software tools, understanding how to work with different data structures will help you write clean and efficient code.

3. Key Topics Covered in a Data Structure Course

A Data Structure Course typically spans a range of topics designed to teach students how to use and implement different structures. Below are some key topics you will encounter:

a) Arrays and Linked Lists

Arrays are one of the most basic data structures. A Data Structure Course will teach you how to use arrays for storing and accessing data in contiguous memory locations. Linked lists, on the other hand, involve nodes that hold data and pointers to the next node. Students will learn the differences, advantages, and disadvantages of both structures.

b) Stacks and Queues

Stacks and queues are fundamental data structures used to store and retrieve data in a specific order. A Data Structure Course will cover the LIFO (Last In, First Out) principle for stacks and FIFO (First In, First Out) for queues, explaining their use in various algorithms and applications like web browsers and task scheduling.

c) Trees and Graphs

Trees and graphs are hierarchical structures used in organizing data. A Data Structure Course teaches how trees, such as binary trees, binary search trees (BST), and AVL trees, are used in organizing hierarchical data. Graphs are important for representing relationships between entities, such as in social networks, and are used in algorithms like Dijkstra's and BFS/DFS.

d) Hashing

Hashing is a technique used to convert a given key into an index in an array. A Data Structure Course will cover hash tables, hash maps, and collision resolution techniques, which are crucial for fast data retrieval and manipulation.

e) Sorting and Searching Algorithms

Sorting and searching are essential operations for working with data. A Data Structure Course provides a detailed study of algorithms like quicksort, merge sort, and binary search. Understanding these algorithms and how they interact with data structures can help you optimize solutions to various problems.

4. Practical Benefits of Enrolling in a Data Structure Course

a) Hands-on Experience

A Data Structure Course typically includes plenty of coding exercises, allowing students to implement data structures and algorithms from scratch. This hands-on experience is invaluable when applying concepts to real-world problems.

b) Critical Thinking and Efficiency

Data structures are all about optimizing efficiency. By learning the most effective ways to store and manipulate data, students improve their critical thinking skills, which are essential in programming. Selecting the right data structure for a problem can drastically reduce time and space complexity.

c) Better Understanding of Memory Management

Understanding how data is stored and accessed in memory is crucial for writing efficient code. A Data Structure Course will help you gain insights into memory management, pointers, and references, which are important concepts, especially in languages like C and C++.

5. Best Programming Languages for Data Structure Courses

While many programming languages can be used to teach data structures, some are particularly well-suited due to their memory management capabilities and ease of implementation. Some popular programming languages used in Data Structure Courses include:

C++: Offers low-level memory management and is perfect for teaching data structures.

Java: Widely used for teaching object-oriented principles and offers a rich set of libraries for implementing data structures.

Python: Known for its simplicity and ease of use, Python is great for beginners, though it may not offer the same level of control over memory as C++.

6. How to Choose the Right Data Structure Course?

Selecting the right Data Structure Course depends on several factors such as your learning goals, background, and preferred learning style. Consider the following when choosing:

a) Course Content and Curriculum

Make sure the course covers the topics you are interested in and aligns with your learning objectives. A comprehensive Data Structure Course should provide a balance between theory and practical coding exercises.

b) Instructor Expertise

Look for courses taught by experienced instructors who have a solid background in computer science and software development.

c) Course Reviews and Ratings

Reviews and ratings from other students can provide valuable insights into the course’s quality and how well it prepares you for real-world applications.

7. Conclusion: Unlock Your Coding Potential with a Data Structure Course

In conclusion, a Data Structure Course is an essential investment for anyone serious about pursuing a career in software development or computer science. It equips you with the tools and skills to optimize your code, solve problems more efficiently, and excel in technical interviews. Whether you're a beginner or looking to strengthen your existing knowledge, a well-structured course can help you unlock your full coding potential.

By mastering data structures, you are not only preparing for interviews but also becoming a better programmer who can tackle complex challenges with ease.

[watchmorecinema]

Normally I just post about movies but I'm a software engineer by trade so I've got opinions on programming too.

Apparently it's a month of code or something because my dash is filled with people trying to learn Python. And that's great, because Python is a good language with a lot of support and job opportunities. I've just got some scattered thoughts that I thought I'd write down.

Python abstracts a number of useful concepts. It makes it easier to use, but it also means that if you don't understand the concepts then things might go wrong in ways you didn't expect. Memory management and pointer logic is so damn annoying, but you need to understand them. I learned these concepts by learning C++, hopefully there's an easier way these days.

Data structures and algorithms are the bread and butter of any real work (and they're pretty much all that come up in interviews) and they're language agnostic. If you don't know how to traverse a linked list, how to use recursion, what a hash map is for, etc. then you don't really know how to program. You'll pretty much never need to implement any of them from scratch, but you should know when to use them; think of them like building blocks in a Lego set.

Learning a new language is a hell of a lot easier after your first one. Going from Python to Java is mostly just syntax differences. Even "harder" languages like C++ mostly just mean more boilerplate while doing the same things. Learning a new spoken language in is hard, but learning a new programming language is generally closer to learning some new slang or a new accent. Lists in Python are called Vectors in C++, just like how french fries are called chips in London. If you know all the underlying concepts that are common to most programming languages then it's not a huge jump to a new one, at least if you're only doing all the most common stuff. (You will get tripped up by some of the minor differences though. Popping an item off of a stack in Python returns the element, but in Java it returns nothing. You have to read it with Top first. Definitely had a program fail due to that issue).

The above is not true for new paradigms. Python, C++ and Java are all iterative languages. You move to something functional like Haskell and you need a completely different way of thinking. Javascript (not in any way related to Java) has callbacks and I still don't quite have a good handle on them. Hardware languages like VHDL are all synchronous; every line of code in a program runs at the same time! That's a new way of thinking.

Python is stereotyped as a scripting language good only for glue programming or prototypes. It's excellent at those, but I've worked at a number of (successful) startups that all were Python on the backend. Python is robust enough and fast enough to be used for basically anything at this point, except maybe for embedded programming. If you do need the fastest speed possible then you can still drop in some raw C++ for the places you need it (one place I worked at had one very important piece of code in C++ because even milliseconds mattered there, but everything else was Python). The speed differences between Python and C++ are so much smaller these days that you only need them at the scale of the really big companies. It makes sense for Google to use C++ (and they use their own version of it to boot), but any company with less than 100 engineers is probably better off with Python in almost all cases. Honestly thought the best programming language is the one you like, and the one that you're good at.

Design patterns mostly don't matter. They really were only created to make up for language failures of C++; in the original design patterns book 17 of the 23 patterns were just core features of other contemporary languages like LISP. C++ was just really popular while also being kinda bad, so they were necessary. I don't think I've ever once thought about consciously using a design pattern since even before I graduated. Object oriented design is mostly in the same place. You'll use classes because it's a useful way to structure things but multiple inheritance and polymorphism and all the other terms you've learned really don't come into play too often and when they do you use the simplest possible form of them. Code should be simple and easy to understand so make it as simple as possible. As far as inheritance the most I'm willing to do is to have a class with abstract functions (i.e. classes where some functions are empty but are expected to be filled out by the child class) but even then there are usually good alternatives to this.

Related to the above: simple is best. Simple is elegant. If you solve a problem with 4000 lines of code using a bunch of esoteric data structures and language quirks, but someone else did it in 10 then I'll pick the 10. On the other hand a one liner function that requires a lot of unpacking, like a Python function with a bunch of nested lambdas, might be easier to read if you split it up a bit more. Time to read and understand the code is the most important metric, more important than runtime or memory use. You can optimize for the other two later if you have to, but simple has to prevail for the first pass otherwise it's going to be hard for other people to understand. In fact, it'll be hard for you to understand too when you come back to it 3 months later without any context.

Note that I've cut a few things for simplicity. For example: VHDL doesn't quite require every line to run at the same time, but it's still a major paradigm of the language that isn't present in most other languages.

Ok that was a lot to read. I guess I have more to say about programming than I thought. But the core ideas are: Python is pretty good, other languages don't need to be scary, learn your data structures and algorithms and above all keep your code simple and clean.

[sqlinjection]

OS commands injection testing & defense

OS command injection is a technique used via a web interface in order to execute OS commands on a web server.

How to test for the issue

During code review

Check if any command execute methods are called and in unvalidated user input are taken as data for that command.

Besides, appending a semicolon to the end of a URL query parameter followed by an operating system command, will execute the command. %3B is URL encoded and decodes to semicolon. This is because the ; is interpreted as a command separator.

Example: 

http://sensitive/something.php?dir=%3Bcat%20/etc/passwd

If the application responds with the output of the /etc/passwd file then you know the attack has been successful. Many web application scanners can be used to test for this attack as they inject variations of command injections and test the response.

Equally Static Code Analysis tools check the data flow of untrusted user input into a web application and check if the data is then entered into a dangerous method which executes the user input as a command.

Remediation

If it is considered unavoidable the call to a system command incorporated with user-supplied, the following two layers of defense should be used within software in order to prevent attacks

Parameterization - If available, use structured mechanisms that automatically enforce the separation between data and command. These mechanisms can help to provide the relevant quoting, encoding.

Input validation - the values for commands and the relevant arguments should be both validated. There are different degrees of validation for the actual command and its arguments:

When it comes to the commands used, these must be validated against a list of allowed commands.

In regards to the arguments used for these commands, they should be validated using the following options:

Positive or allowlist input validation - where are the arguments allowed explicitly defined

Allow-list Regular Expression - where is explicitly defined a list of good characters allowed and the maximum length of the string. Ensure that metacharacters like & | ; $ > < \ \ !` and whitespaces are not part of the Regular Expression. For example, the following regular expression only allows lowercase letters and numbers, and does not contain metacharacters. The length is also being limited to 3-10 characters:

^[a-z0-9]{3,10}$

Example code - Java

Incorrect Usage

ProcessBuilder b = new ProcessBuilder("C:\DoStuff.exe -arg1 -arg2");

the command together with the arguments are passed as a one string, making easy to manipulate that expression and inject malicious strings.

Correct Usage

ProcessBuilder pb = new ProcessBuilder("TrustedCmd", "TrustedArg1", "TrustedArg2"); Map<String, String> env = pb.environment(); pb.directory(new File("TrustedDir")); Process p = pb.start();

starts a process with a modified working directory

The command and each of the arguments are passed separately which makes it easy to validate each term and reduces the risk to insert malicious strings

[aionlinemoney]

India’s Tech Sector to Create 1.2 Lakh AI Job Vacancies in Two Years

India’s technology sector is set to experience a hiring boom with job vacancies for artificial intelligence (AI) roles projected to reach 1.2 lakh over the next two years. As the demand for AI latest technology increases across industries, companies are rapidly adopting advanced tools to stay competitive. These new roles will span across tech services, Global Capability Centres (GCCs), pure-play AI and analytics firms, startups, and product companies.

Following a slowdown in tech hiring, the focus is shifting toward the development of AI. Market analysts estimate that Indian companies are moving beyond Proof of Concept (PoC) and deploying large-scale AI systems, generating high demand for roles such as AI researchers, product managers, and data application specialists. “We foresee about 120,000 to 150,000 AI-related job vacancies emerging as Indian IT services ramp up AI applications,” noted Gaurav Vasu, CEO of UnearthInsight.

India currently has 4 lakh AI professionals, but the gap between demand and supply is widening, with job requirements expected to reach 6 lakh soon. By 2026, experts predict the number of AI specialists required will hit 1 million, reflecting the deep integration of AI latest technology into industries like healthcare, e-commerce, and manufacturing.

The transition to AI-driven operations is also altering the nature of job vacancies. Unlike traditional software engineering roles, artificial intelligence positions focus on advanced algorithms, automation, and machine learning. Companies are recruiting experts in fields like deep learning, robotics, and natural language processing to meet the growing demand for innovative AI solutions. The development of AI has led to the rise of specialised roles such as Machine Learning Engineers, Data Scientists, and Prompt Engineers.

Krishna Vij, Vice President of TeamLease Digital, remarked that new AI roles are evolving across industries as AI latest technology becomes an essential tool for product development, operations, and consulting. “We expect close to 120,000 new job vacancies in AI across different sectors like finance, healthcare, and autonomous systems,” he said.

AI professionals also enjoy higher compensation compared to their traditional tech counterparts. Around 80% of AI-related job vacancies offer premium salaries, with packages 40%-80% higher due to the limited pool of trained talent. “The low availability of experienced AI professionals ensures that artificial intelligence roles will command attractive pay for the next 2-3 years,” noted Krishna Gautam, Business Head of Xpheno.

Candidates aiming for AI roles need to master key competencies. Proficiency in programming languages like Python, R, Java, or C++ is essential, along with knowledge of AI latest technology such as large language models (LLMs). Expertise in statistics, machine learning algorithms, and cloud computing platforms adds value to applicants. As companies adopt AI latest technology across domains, candidates with critical thinking and  AI adaptability will stay ahead so it is important to learn and stay updated with AI informative blogs & news.

Although companies are prioritising experienced professionals for mid-to-senior roles, entry-level job vacancies are also rising, driven by the increased use of AI in enterprises. Bootcamps, certifications, and academic programs are helping freshers gain the skills required for artificial intelligence roles. As AI development progresses, entry-level roles are expected to expand in the near future. AI is reshaping the industries providing automation & the techniques to save time , to increase work efficiency. 

India’s tech sector is entering a transformative phase, with a surge in job vacancies linked to AI latest technology adoption. The next two years will witness fierce competition for AI talent, reshaping hiring trends across industries and unlocking new growth opportunities in artificial intelligence. Both startups and established companies are racing to secure talent, fostering a dynamic landscape where artificial intelligence expertise will be help in innovation and growth. AI will help organizations and businesses to actively participate in new trends.

#aionlinemoney.com

[nectoy7]

The History of Java Programming: From Its Humble Beginnings to Dominance in Software Development

Java is one of the most influential programming languages in the modern era, known for its versatility, portability, and robustness. Developed in the early 1990s, it has left a lasting impact on the software industry, helping build countless applications, from mobile games to enterprise-level software. In this blog, we'll explore Java’s fascinating history, its motivations, its growth, and its influence on today’s technology landscape.

The Genesis of Java

Java originated in the early 1990s as part of a project at Sun Microsystems. The project, initially called the "Green Project," was led by James Gosling, alongside Mike Sheridan and Patrick Naughton. The team's goal was to develop a language for embedded systems, specifically for appliances like televisions, which were beginning to incorporate smart technology.

The language was initially called "Oak," named after an oak tree outside Gosling's office. However, due to a trademark conflict, it was eventually renamed Java. The name "Java" was inspired by a type of coffee popular with the developers, signifying their relentless energy and drive.

Motivation Behind Java's Creation

Java was developed to address several key challenges in software development at the time:

Portability: Most languages of the day, such as C and C++, were platform-dependent. This meant that software needed significant modification to run on different operating systems. Gosling and his team envisioned a language that could be executed anywhere without alteration. This led to the now-famous slogan, "Write Once, Run Anywhere" (WORA).

Reliability: C and C++ were powerful, but they had pitfalls like manual memory management and complex pointers, which often led to errors. Java aimed to eliminate these issues by offering features like automatic memory management through garbage collection.

Internet Revolution: As the internet began to take shape, Java was positioned to take advantage of this growing technology. Java’s platform independence and security made it an ideal choice for internet-based applications.

The Birth of Java (1995)

The Green Project initially produced a device called Star7, an interactive television set-top box. While innovative, it didn't achieve widespread success. However, by the mid-1990s, the internet was gaining traction, and Sun Microsystems realized Java’s true potential as a programming language for web applications.

In 1995, Java was officially launched with the release of the Java Development Kit (JDK) 1.0. At the same time, Netscape Navigator, a popular web browser, announced that it would support Java applets. This gave Java immense exposure and set the stage for its rapid adoption in the software development community.

Key Features that Set Java Apart

From the beginning, Java had several features that distinguished it from its contemporaries:

Platform Independence: Java programs are compiled into an intermediate form called bytecode, which runs on the Java Virtual Machine (JVM). The JVM acts as a mediator between the bytecode and the underlying system, allowing Java programs to be executed on any platform without modification.

Object-Oriented: Java was designed from the ground up as an object-oriented language, emphasizing modularity, reusability, and scalability. This feature made Java particularly attractive for building complex and large-scale applications.

Automatic Memory Management: Java's garbage collector automatically handles memory deallocation, reducing the risk of memory leaks and other errors that plagued languages like C and C++.

Security: Java was designed with a focus on security, particularly given its intended use for internet applications. The JVM serves as a secure sandbox, and Java’s bytecode verification process ensures that malicious code cannot be executed.

Evolution of Java Versions

Since its release in 1995, Java has undergone several iterations, each bringing new features and improvements to enhance the developer experience and address the evolving needs of software applications.

Java 1.0 (1996): The first version of Java was mainly used for applets on web browsers. It came with basic tools, libraries, and APIs, establishing Java as a mainstream programming language.

Java 2 (1998): With the release of J2SE (Java 2 Platform, Standard Edition), Java evolved from a simple web language to a complete, general-purpose development platform. Java 2 introduced the Swing library, which provided advanced tools for building graphical user interfaces (GUIs). This release also marked the beginning of Java Enterprise Edition (J2EE), which extended Java for server-side applications.

Java 5 (2004): Java 5, initially called Java 1.5, was a significant update. It introduced Generics, Annotations, Enumerations, and Autoboxing/Unboxing. The updated version also brought improved syntax and functionality, which simplified writing and reading code.

Java SE 7 (2011) and Java SE 8 (2014): Java SE 7 brought features like try-with-resources, simplifying exception handling. Java SE 8 was a transformative release, introducing Lambda expressions and Stream APIs. This version brought functional programming aspects to Java, allowing developers to write more concise and expressive code.

Java 9 to Java 17 (2017-2021): Java 9 introduced the module system to help organize large applications. Java 11 and later versions moved towards a more rapid release cadence, with new features appearing every six months. Java 17, released in 2021, became a long-term support (LTS) version, offering several advancements like improved garbage collection, pattern matching, and record classes.

The Java Community and OpenJDK

Java's development has always been characterized by a strong community influence. Initially controlled by Sun Microsystems, Java's fate changed when Oracle Corporation acquired Sun in 2010. After the acquisition, Oracle made significant strides towards making Java more open and community-driven.

OpenJDK, an open-source implementation of Java, became the reference implementation starting from Java 7. This move encouraged greater collaboration, transparency, and diversity within the Java ecosystem. OpenJDK allowed more organizations to contribute to Java’s development and ensure its continued growth.

Java in the Enterprise and Beyond

Java has become synonymous with enterprise-level software development, thanks in part to the introduction of Java EE (now known as Jakarta EE). Java EE provides a set of specifications and tools for building large-scale, distributed, and highly reliable applications. The Java ecosystem, including frameworks like Spring, Hibernate, and Apache Struts, has contributed to its popularity in enterprise environments.

Java also became a key player in the development of Android applications. Android Studio, Google's official IDE for Android development, is powered by Java, which contributed significantly to its widespread adoption. Although Kotlin, another JVM language, is now gaining popularity, Java remains a core language for Android.

The Challenges Java Faced

Despite its success, Java faced competition and challenges over the years. Languages like C#, developed by Microsoft, and Python have gained traction due to their developer-friendly features. Java has been criticized for its verbosity compared to more modern languages. However, the Java community’s active contributions and Oracle’s improvements, including adding modern programming paradigms, have kept it relevant.

Another significant challenge was the rise of JavaScript for web development. While Java was initially popular for web applets, JavaScript became the dominant language for front-end development. Java's relevance in web applications decreased, but it found its niche in server-side applications, enterprise systems, and Android.

Java Today and Its Future

Today, Java is one of the most popular programming languages globally, powering applications across various sectors, including finance, healthcare, telecommunications, and education. Java’s strength lies in its mature ecosystem, robust performance, and scalability.

The new six-month release cycle initiated by Oracle has brought excitement back into the Java world, with new features being added frequently, keeping the language modern and in line with developer needs. Java 17, as an LTS version, is a stable platform for enterprises looking for reliable updates and support over the long term.

Looking forward, Java’s evolution focuses on improving developer productivity, adding more concise language features, and optimizing performance. Java's adaptability and continuous evolution ensure its place as a leading language for both new projects and legacy systems.

Conclusion

Java’s journey from a language for set-top boxes to becoming a foundational tool in enterprise computing, Android applications, and beyond is nothing short of remarkable. Its creation was driven by a need for portability, reliability, and ease of use. Over nearly three decades, Java has evolved to remain relevant, keeping pace with technological advancements while preserving its core values of reliability and platform independence.

The language’s robust community, open-source development model, and wide adoption in critical applications guarantee that Java will remain a force in software development for many years to come. It has not only withstood the test of time but continues to thrive in a constantly changing technology landscape—an enduring testament to the vision of its creators and the collective effort of its global community.

[metfell]

Putting aside the 'better' debate, it's kind of intriguing to me how many little differences there are between Java and Bedrock. Because, like, ostensibly the differences started because of coding language, right? Java vs C++ or whatever, is why certain redstone things work differently. And then things were because of controller and mobile options, like limiting off hand items for mobile players. But then things like flower distribution and trident farmability and wither strengths and such are clearly not coding differences anymore, they're intentional design decisions. It's a choice two slowly develop the game in two different ways side by side, which must be harder to do on the back end, but also can like. Allow them to see which ends up feeling better overall? IDK if they would ever make a move for parity on anything that isn't based in controls or coding, but it is an interesting experiment.

- A Java player who got it because it was 5 dollars cheaper the day I was choosing versions and has been drawn too deep to go back

this is such a good analysis anon thank you :]

[abalidoth]

What are some of your favorite parts of Haskell? Do you know any other languages?

Haskell's mathematical completeness is super cool. It's quite amazing that you can actually prove, with a theorem, that the language doesn't have any ambiguous statements. (I don't know exactly how the theorem goes, I haven't dug into it enough to word it properly, but it's cool.) Also, it's just fun to solve problems in functional programming; it requires a whole different section of my brain from my usual programming.

My bread and butter, the language I use for work as well as my personal projects, is Python. It's the language I'm most fluent in by a long shot; there's no delay between coming up with an idea and executing it in code. I know there are a lot of folks who aren't fond of Python, and to be fair people try to apply it where it's just not really a good tool, but as a rapid prototyping, data manipulation, and fun-code-toy language it's phenomenal. Also there's a package for, like, everything.

I've used a TON of other languages in bits and pieces in the past -- Java, C++, a bit of C#, a lot of SQL and HTML (neither is exactly a PROGRAMMING language, but eh) and a lot of obscure math languages like Magma, GAP, and Macsyma.

The thing I'm most interested to learn is Lean, a theorem proving language. It's pretty amazing what you can do with it, and I think it'll revolutionize math academia once it's in wide use.

[emeraldcatears]

Seeing what's new.

I used RPG Maker XP before (though mainly only used Pokemon Essentials) so MZ has a lot new that folks who used the RPG Makers in between like VX and MV are probably already familiar with.

For example:

It comes with a character generator that makes easy-to-use sprites!

While I intend to use my own resources eventually you know I have to play with this...

Also? Children exist beyond gender! In that case...

There's also a dark theme (as well as two high contrast ones that... don't appeal to me.

That should be easier on the eyes after staring at a computer screen at work all day.

Another thing I noticed right away is that the tilesets give you a lot more autotiles than XP. XP maxed at 8. This one has loads!

Autotiles, for those newer to this than I am, are tiles that automatically draw corners and the like based on what tiles they're drawn next to rather than needing to be put together with individual tiles. These can also be animated to show the motion of waves or waterfalls.

The tilesets are also broken into tabs! Looks like the bases are in the A tab and the details to add on top are in B and C. I'll have to look more into this when I eventually import my own tiles but it already seems nice for organizing.

Another thing?

Four layers for mapping! XP had three. Apparently they took away layers for some of the iterations between XP and MZ? That sounds irritating. Good thing MZ has them again.

MZ defaults to 48x48 tiles but has options for others as well. Again, I'll worry about that when I play with my own resources.

Those are just what I noticed right away. Apparently another difference is that XP used the Ruby programming language and MZ uses Java JavaScript. I never touched the code back in my Pokemon Essentials days so anything involving that is going to be new to me.

Oh, man. I'm already getting ideas for things to make with this. I plan on using the default resources to start with while I'm learning (for the most part) but when I start putting my own in I'll probably record the process here.

[the-starlight-papers]

I am being aggressively reminded on why I don’t work on projects late at night and that is because last night I was loosing my goddamn mind because I learned that python doesn’t require you to declare variable types.

What do you MEAN I can just do n=4 in one line and then n=“cat” the next line???? My AP CSA Java brain DOES NOT like that.

I haven’t done python in like 3 years and I’m only frantically relearning it because I got an adafruit trinket board to run some LED. You can theoretically use it with the Arduino IDE and program it with C++. Which would be REALLY NICE because that’s where I have completed code written. But despite my best efforts it refuses to get programmed. So now I get to rewrite all my code in python.

Good times good times.

At least now I can include different blade modes on the same file and just only uncomment one so that my sister can swap between modes easier.

[allaboutsoftwaredevelopment]

Exploring the Difference Between Web Development and App Development

Hey there, tech enthusiasts! So, you've heard about web development and app development, but you're not quite sure what sets them apart? Don't worry, I'll break it down for you in simple terms!

First things first, what exactly is web development? Well, think of it like building a house on the internet! Web development involves creating websites or web applications that can be accessed through a web browser, like Google Chrome or Safari. It's all about designing, building, and maintaining websites that people can visit and interact with online.

Now, let's talk about app development. This is like building a cozy little home on your smartphone or tablet! App development involves creating mobile applications that are installed directly onto your device, like games, social media apps, or productivity tools. It's all about designing, building, and maintaining applications that people can download and use on their mobile devices.

So, what's the difference between web development and app development? Here are a few key distinctions:

Platform: The biggest difference between web development and app development is the platform they're built for. Web app development services focuses on creating websites or web applications that are accessed through a web browser on desktop computers or mobile devices. App development, on the other hand, focuses on creating mobile applications that are installed directly onto a device and accessed through an icon on the home screen.

Technology: Web development typically involves technologies like HTML, CSS, and JavaScript for creating the front end (what users see and interact with) and languages like PHP, Python, or Node.js for creating the back end (the server-side logic). App development, on the other hand, often involves languages like Java or Kotlin for Android development, Swift or Objective-C for iOS development, or frameworks like React Native or Flutter for cross-platform development.

Distribution: Web applications are usually accessible to anyone with an internet connection and can be accessed through a web browser without the need for installation. Mobile applications, on the other hand, need to be downloaded and installed onto a device from an app store like the Apple App Store or Google Play Store.

User Experience: The user experience of web applications and mobile applications can be quite different. Web applications are designed to work across different devices and screen sizes, so they often have a responsive design that adapts to fit the user's device. Mobile applications, on the other hand, are specifically designed for use on mobile devices and can take advantage of features like touch screens, GPS, and push notifications.

In conclusion, while web development and app development share some similarities, such as creating digital experiences for users, they also have key differences in terms of platform, technology, distribution, and user experience. Whether you're interested in building websites or mobile applications, both fields offer exciting opportunities to unleash your creativity and make an impact in the digital world!

[ars-webtech]

Cross-Platform App Development In Dubai - An Insightful Guide To Follow

In the heart of the United Arab Emirates, the dynamic world of mobile app development is evolving rapidly, and Dubai is at its forefront. This guide delves into the world of cross-platform app development, highlighting its essentials and showcasing leading mobile app development firms in the UAE, like ARS Webtech.

An Insightful Overview About Cross-Platform App Development

Cross-platform app development involves creating mobile applications that run on multiple platforms using a single codebase. This approach contrasts with traditional native app development, which requires writing separate code for each platform, such as Java or Kotlin for Android and Swift or Objective-C for iOS.

Benefits of Cross-Platform App Development By Mobile App Development Companies UAE

Code Reusability: Developers can write and manage code that works across various platforms, reducing development time and effort.

Cost and Time Efficiency: Faster and more economical than developing individual native apps, it simplifies the entire development cycle.

Wider Market Reach: A single app can target different platforms, expanding market reach.

Consistent User Experience: Cross-platform frameworks support maintaining a consistent experience across platforms.

Faster Deployment and Updates: Facilitates simultaneous feature release across all platforms.

Popular Cross-Platform Development Frameworks

Flutter: Known for creating visually appealing apps, it's a strong choice for businesses in Dubai.

React Native: Supported by Facebook, it allows developers to build mobile apps using React and JavaScript, known for its flexibility and seamless integration.

Best Practices In Cross-Platform App Development

Prioritize User Experience: Ensuring apps function flawlessly with an intuitive interface is crucial.

Security Considerations: Especially important in sectors like healthcare and e-commerce, robust security measures are essential.

Scalability: The app should accommodate increased user traffic and additional features as the business grows.

Regular Updates and Maintenance: Ensuring the app remains compatible with the latest operating systems and user expectations.

Integration of Emerging Technologies: Incorporating AI, IoT, 5G connectivity, and machine learning enhances user experiences and contributes to Dubai's smart city initiatives.

Blockchain for Increased Security: Integrating blockchain technologies can add an extra layer of security, particularly in sensitive industries.

Conclusion

Cross-platform app development is a strategic choice for businesses in Dubai looking to maximize their digital presence. Companies like ARS Webtech are at the forefront of this movement, driving innovation and excellence in the mobile app development scene.

FAQs

1. Which frameworks are commonly used for cross-platform app development in Dubai?​

​Flutter and React Native are two prominent frameworks. Flutter is known for its visually stunning apps, while React Native offers flexibility and seamless integration.

2. How do mobile app development companies in Dubai prioritize user experience in cross-platform apps?

User experience is a top priority, ensuring consistent and delightful interfaces across devices.

3. How to choose between Flutter and React Native?

The choice depends on specific project requirements, design preferences, development speed, and existing tech stacks.

For further guidance or to start your cross-platform app development journey, contact ARS Webtech at +971585840413.