#Java development kit

[webnotics]

Hire a Java Developer in 4 Easy Steps – Get Started Today! 🚀

Step 1: Define Your Requirements 📋

Before starting the hiring process, clearly outline your project requirements. This will help you identify the skills and experience you need in a Java developer.

Key Considerations:

What type of project are you working on? (Mobile app, web application, enterprise system, etc.)

What level of experience do you need? (Junior, mid-level, senior developer)

Which Java frameworks and tools should the developer be proficient in? (Spring Boot, Hibernate, JavaFX, etc.)

Do you need additional skills such as UI/UX knowledge, database expertise, or cloud computing experience?

Step 2: Source Qualified Candidates 🎯

Once you have a clear understanding of your requirements, the next step is to find the right candidates. There are multiple ways to source skilled Java developers.

Where to Look:

Freelance Platforms: Websites like Upwork, Freelancer, and Toptal offer access to experienced Java developers.

Job Portals: Post job listings on LinkedIn, Indeed, Glassdoor, or GitHub Jobs.

Tech Communities: Engage with developers on platforms like Stack Overflow, GitHub, and Java forums.

Staffing Agencies: Consider working with recruitment agencies specializing in IT talent.

Step 3: Evaluate and Interview 🧐

Once you’ve shortlisted candidates, it’s time to assess their technical skills and cultural fit.

How to Assess a Java Developer:

Technical Skills Test: Assign coding challenges or review their past projects.

Portfolio Review: Analyze their previous work to see if it aligns with your project.

Behavioral Interview: Ask questions about their problem-solving approach and teamwork abilities.

Live Coding Session: Conduct a real-time coding interview to evaluate their coding efficiency and problem-solving skills.

Step 4: Hire and Onboard Seamlessly 🤝

Once you’ve selected the perfect Java developer, ensure a smooth hiring and onboarding process.

Steps for a Successful Onboarding:

Define Roles & Expectations: Set clear project goals, deadlines, and deliverables.

Provide Access to Tools: Give them access to repositories, software, and communication tools.

Establish Communication Channels: Use Slack, Zoom, or project management tools like Jira and Trello.

Kickoff Meeting: Introduce the developer to your team and set expectations for collaboration.

Conclusion 🎉

Hiring a Java developer doesn’t have to be complicated! By following these four simple steps—defining your requirements, sourcing candidates, evaluating skills, and onboarding efficiently—you can quickly find and integrate the right talent into your team. Get started today and bring your Java project to life! 🚀

[removeload-academy]

A Comprehensive Tutorial on JDK, JRE, and Setting Up Java for Development

The Java Development Kit (JDK) is a core component of the Java Development Environment. It serves as a complete software development kit, including tools like the Java compiler (javac), Java debugger (jdb), and the Java Virtual Machine (JVM).

[yoshifawful64]

incidentally does anyone have experience troubleshooting java installation on mac

[elgarnaouicom]

A Comprehensive Guide to Java 17 New Features

Java 17, the latest long-term support (LTS) release, has arrived with a plethora of exciting new features and enhancements. In this blog post, we’ll take an in-depth look at all the noteworthy additions to the Java ecosystem in this groundbreaking release. 1. Sealed Classes Sealed classes provide a new way to restrict the inheritance hierarchy, allowing developers to define a limited set of…

[aionlinemoney]

The Role of Machine Learning Engineer: Combining Technology and Artificial Intelligence

Artificial intelligence has transformed our daily lives in a greater way than we can’t imagine over the past year, Impacting how we work, communicate, and solve problems. Today, Artificial intelligence furiously drives the world in all sectors from daily life to the healthcare industry. In this blog we will learn how machine learning engineer build systems that learn from data and get better over time, playing a huge part in the development of artificial intelligence (AI). Artificial intelligence is an important field, making it more innovative in every industry. In the blog, we will look career in Machine learning in the field of engineering.

What is Machine Learning Engineering?

Machine Learning engineer is a specialist who designs and builds AI models to make complex challenges easy. The role in this field merges data science and software engineering making both fields important in this field. The main role of a Machine learning engineer is to build and design software that can automate AI models. The demand for this field has grown in recent years. As Artificial intelligence is a driving force in our daily needs, it become important to run the AI in a clear and automated way.

A machine learning engineer creates systems that help computers to learn and make decisions, similar to human tasks like recognizing voices, identifying images, or predicting results. Not similar to regular programming, which follows strict rules, machine learning focuses on teaching computers to find patterns in data and improve their predictions over time.

Responsibility of a Machine Learning Engineer:

Collecting and Preparing Data

Machine learning needs a lot of data to work well. These engineers spend a lot of time finding and organizing data. That means looking for useful data sources and fixing any missing information. Good data preparation is essential because it sets the foundation for building successful models.

Building and Training Models

The main task of Machine learning engineer is creating models that learn from data. Using tools like TensorFlow, PyTorch, and many more, they build proper algorithms for specific tasks. Training a model is challenging and requires careful adjustments and monitoring to ensure it’s accurate and useful.

Checking Model Performance

When a model is trained, then it is important to check how well it works. Machine learning engineers use scores like accuracy to see model performance. They usually test the model with separate data to see how it performs in real-world situations and make improvements as needed.

Arranging and Maintaining the Model

After testing, ML engineers put the model into action so it can work with real-time data. They monitor the model to make sure it stays accurate over time, as data can change and affect results. Regular updates help keep the model effective.

Working with Other Teams

ML engineers often work closely with data scientists, software engineers, and experts in the field. This teamwork ensures that the machine learning solution fits the business goals and integrates smoothly with other systems.

Important skill that should have to become Machine Learning Engineer:

Programming Languages

Python and R are popular options in machine learning, also other languages like Java or C++ can also help, especially for projects needing high performance.

Data Handling and Processing

Working with large datasets is necessary in Machine Learning. ML engineers should know how to use SQL and other database tools and be skilled in preparing and cleaning data before using it in models.

Machine Learning Structure

ML engineers need to know structure like TensorFlow, Keras, PyTorch, and sci-kit-learn. Each of these tools has unique strengths for building and training models, so choosing the right one depends on the project.

Mathematics and Statistics

A strong background in math, including calculus, linear algebra, probability, and statistics, helps ML engineers understand how algorithms work and make accurate predictions.

Why to become a Machine Learning engineer?

A career as a machine learning engineer is both challenging and creative, allowing you to work with the latest technology. This field is always changing, with new tools and ideas coming up every year. If you like to enjoy solving complex problems and want to make a real impact, ML engineering offers an exciting path.

Conclusion 

Machine learning engineer plays an important role in AI and data science, turning data into useful insights and creating systems that learn on their own. This career is great for people who love technology, enjoy learning, and want to make a difference in their lives. With many opportunities and uses, Artificial intelligence is a growing field that promises exciting innovations that will shape our future. Artificial Intelligence is changing the world and we should also keep updated our knowledge in this field, Read AI related latest blogs here.

[misty-eyezz]

I made my own Inktober challenge for this year using the hashtag Elementober. The main subjects being my five main Elemental AUs; Element Swap!AU, Element Boy Band!AU, Element Monarch!AU, Element Office!AU, and Element Mafia!AU.

I have a lot more than 5, but these five are my most developed ideas that actually result in a fanfic lol Plus 5 AU's divided by 30 is 6 pictures for each, so it works out in the end.

I posted these on my X and Bluesky, but I wanted to post them in order in groups of 10 until the 31st. The 31st I plan on doing a fully colored piece compared tot eh sketches I did for the other 30 days.

Overall happy with what I've done. The themes are very vaguely Octoberish and fallish. Some days I was lazier than others, but depict a lot of the ideas I have going on for Wade and Ember in their respective AUs.

Day 1 - Chilly Weather Coal will never understand how Talia can stand the cold

Day 2 - Pumpkin Carving Old habits die hard. Wade bought Ember a kid pumpkin carving kit but she left to find something else in the kitchen

Day 3 - Campfire Stories The former Duke, Dewey Ripple, was a war hero before he was assassinated. Wade wants to find out who did it and why.

Day 4 - Hot Drinks It's nice not having oil sinks and basins at work. Fire staff don't have to do the dishes in the break room. Wade doesn't mind, but he doesn't use the sponges after Charlotte and Ember make lava java on breaks.

Day 5 - Smoke Don't push your luck water boy

Day 6 - Deepest Fear Coal could never forget the day he got stuck in a hot-air balloon

Day 7 - Candle Light Do you ever sleep, Wade?

Day 8 - Shadows I hate shadows. But I can't help but cast them wherever I go. If I had a shadow, I'm sure it would be the worst of them all.

Day 9 - Nightmare Wade, where is your father? I can't find him! Why is she yelling Wade? (it's Brook and Dewey in Wade's nightmare)

Day 10 - Umbrella Charlotte told me you broke your umbrella, we can share mine

[nectoy7]

My First Java Program: A Journey into Coding

Starting with Java programming can be an exciting journey, filled with discovery, challenges, and a sense of accomplishment. My experience of writing my first Java program was a significant milestone that opened up a world of possibilities in software development. In this blog, I’ll share my journey through writing my first Java program, along with the concepts I learned and the obstacles I overcame.

The Excitement of Starting

When I first decided to learn Java, I was motivated by its versatility and widespread use in developing applications, from mobile apps to enterprise software. I had heard about the power of Java and how it is a foundational language for many developers. After setting up my Java development environment, which included installing the Java Development Kit (JDK) and choosing an Integrated Development Environment (IDE) like Eclipse, I was ready to dive in.

The anticipation of writing my first program filled me with excitement. I had heard many experienced programmers talk about how exhilarating it felt to see their code come to life, and I was eager to experience that feeling myself.

Setting Up the Development Environment

Before I could write my first program, I needed to ensure my development environment was properly configured. Here’s a brief overview of how I set it up:

1. Installing the JDK: I downloaded the latest version of the Java Development Kit from the Oracle website. This included everything I needed to compile and run Java applications.

2. Choosing an IDE: I chose Eclipse as my IDE because of its robust features and user-friendly interface. After downloading and installing it, I was ready to start coding.

3. Verifying the Installation: I opened the command prompt (or terminal) and typed java -version to confirm that Java was installed correctly. Seeing the version number displayed confirmed that I was on the right track.

Writing My First Java Program

With my development environment set up, I was finally ready to write my first Java program. Following the traditional approach, I decided to create a simple “Hello, World!” program. This classic exercise is often the first step for beginners learning any programming language.

Step 1: Creating a New Java Project

In Eclipse, I created a new Java project:

1. File > New > Java Project.

2. I named the project “HelloWorld” and clicked Finish.

Step 2: Creating a New Java Class

Next, I created a new Java class within the project:

1. Right-click on the src folder in the HelloWorld project.

2. Selected New > Class.

3. I named the class HelloWorld and checked the box to include the public static void main(String[] args) method. This method is the entry point of any Java application.

Step 3: Writing the Code

With the class created, I wrote the code that would print “Hello, World!” to the console:

public class HelloWorld {     public static void main(String[] args) {         System.out.println(“Hello, World!”);     } }

Code Explanation

public class HelloWorld: This line defines a public class named HelloWorld. In Java, every application must have at least one class.

public static void main(String[] args): This line declares the main method, which is the starting point of any Java program. The JVM (Java Virtual Machine) looks for this method when executing the program.

System.out.println(“Hello, World!”);: This line prints the string “Hello, World!” to the console. The System.out object is used to output data to the console, and println is a method that prints the text followed by a newline.

Step 4: Running the Program

After writing the code, it was time to run my program and see the result:

1. I right-clicked on the HelloWorld.java file in the Project Explorer.

2. Selected Run As > Java Application.

To my delight, the console displayed the message “Hello, World!” It was a simple program, but seeing the output felt like a monumental achievement. I had successfully written and executed my first Java program!

Learning from the Experience

The process of writing my first Java program taught me several important lessons:

Understanding Java Syntax

Java has a specific syntax that must be followed. This includes rules about naming conventions, the use of semicolons to end statements, and the structure of classes and methods. Understanding these rules is essential for writing valid Java code.

The Importance of the Main Method

The main method is crucial in Java applications. It serves as the entry point, and every program must have it to be executed. Learning this concept helped me appreciate how Java applications are structured.

The Power of Output Statements

Using System.out.println() was my first experience with output statements. It highlighted the importance of feedback in programming. Being able to print messages to the console is invaluable for debugging and understanding program flow.

Overcoming Challenges

While writing my first Java program was largely straightforward, I faced some challenges along the way:

Syntax Errors

Initially, I encountered syntax errors due to missing semicolons or misnamed classes. Each error message provided insight into what I needed to correct. This experience emphasized the importance of careful coding and attention to detail.

Understanding the IDE

Familiarizing myself with Eclipse took some time. I had to learn how to navigate the interface, manage projects, and use features like code suggestions and debugging tools. As I continued coding, I became more comfortable with the IDE.

Next Steps in My Java Journey

Completing my first Java program was just the beginning. With a foundational understanding of Java syntax and structure, I was excited to explore more advanced concepts. Here are the next steps I took in my learning journey:

Exploring Java Basics

I delved deeper into Java basics, including:

Data Types: Understanding primitive and reference data types.

Variables: Learning how to declare and use variables effectively.

Operators: Exploring arithmetic, relational, and logical operators.

Control Flow Statements: Mastering if-else, switch, and loop constructs.

Learning Object-Oriented Programming (OOP)

Java is an object-oriented programming language, and I knew I had to understand OOP principles. I focused on concepts such as:

Classes and Objects: Learning how to create and manipulate objects.

Inheritance: Understanding how classes can inherit properties from other classes.

Encapsulation: Learning how to hide data within classes.

Polymorphism: Exploring method overloading and overriding.

Building Projects

I started working on small projects to apply my knowledge. Simple applications, like a calculator or a text-based game, helped solidify my understanding of Java concepts.

Conclusion

Writing my first Java program was a thrilling experience that marked the beginning of my journey as a programmer. The excitement of seeing my code come to life, coupled with the knowledge I gained, fueled my desire to continue learning and growing in the field of software development.

Java has proven to be a powerful language with endless possibilities, and I am eager to explore its depths further. With each program I write, I feel more confident in my coding abilities and more inspired to tackle new challenges.

If you’re starting your Java journey, embrace the process, celebrate your successes, and don’t shy away from challenges. Each step you take brings you closer to becoming a proficient Java developer.

Happy coding!

[roseliejack123]

Mastering Java: Your Comprehensive Guide to Programming Excellence

Embarking on the journey of mastering Java is akin to entering a realm of endless possibilities. Java, a versatile and widely-utilized programming language, offers a broad spectrum of applications, from crafting web and mobile applications to powering robust enterprise systems. Whether you are a novice in the realm of coding or a seasoned programmer looking to broaden your skill set, the path to proficiency in Java is an exciting one.

In this comprehensive guide, we will be your guiding light through the intricacies of Java, starting from the foundational basics and progressing to the more advanced aspects of the language. Our objective is to equip you with the knowledge and skills that form a robust and unshakable foundation for your journey into the vibrant world of Java. Fasten your seatbelt as we embark on this exhilarating exploration, charting a course that will empower you to thrive in the ever-evolving landscape of software development.

Here's a 8-step guide to effectively learn Java

Step 1: Setting Up Your Development Environment

Your journey to becoming a proficient Java developer commences with setting up your development environment. The essential components are the Java Development Kit (JDK) and an Integrated Development Environment (IDE) like Eclipse or IntelliJ IDEA. These tools aren't just convenient; they're the gears that will drive your Java programming endeavors. They streamline the coding process, provide useful features, and offer an organized workspace, making your coding experience efficient and enjoyable.

Step 2: The Foundation - Learning the Basics

With your development environment ready, it's time to delve into the fundamental building blocks of Java. Begin by acquainting yourself with data types, variables, operators, and control structures. These are the nuts and bolts of the language, and a solid grasp of these concepts is essential. You'll find an abundance of online tutorials and beginner-friendly Java books to assist you at this stage.

Step 3: Navigating the World of Object-Oriented Programming (OOP)

The object-oriented programming (OOP) approach is well known in Java. To harness the true power of Java, immerse yourself in the world of OOP. Understand the concepts of classes, objects, inheritance, encapsulation, and polymorphism. This knowledge forms the bedrock of Java programming and enables you to design efficient, organized, and scalable code.

Step 4: Mastering Data Structures and Algorithms

Data structures (such as arrays, lists, and sets) and algorithms are the secret sauce behind solving real-world problems efficiently. As you progress, dive into the world of data structures and algorithms. These are the tools that will empower you to handle complex tasks and optimize your code. They're your go-to assets for creating efficient and responsive applications.

Step 5: The Art of Exception Handling

Java boasts a robust exception-handling mechanism. Understanding how to handle exceptions properly is not just an add-on skill; it's a vital aspect of writing reliable code. Exception handling ensures that your code gracefully manages unexpected situations, preventing crashes and delivering a seamless user experience.

Step 6: Exploring Input and Output Operations

In this step, you'll explore the realm of input and output (I/O) operations. Mastering I/O is crucial for reading and writing files, as well as interacting with users. You'll gain the ability to build applications that can efficiently process data and communicate effectively with users.

Step 7: Conquering Multi tasking

Java's support for multi tasking is a significant advantage. Understanding how to manage threads and synchronize their actions is vital for creating concurrent applications. Multithreading is the key to developing software that can handle multiple tasks simultaneously, making your applications responsive and scalable.

Step 8: Building Projects and Real-World Practice

Theory is only as valuable as its practical application. The final step involves applying what you've learned by building small projects. These projects serve as a proving ground for your skills and provide valuable additions to your portfolio. Whether it's a simple application or a more complex project, the act of building is where the real learning takes place.

As you step into this vibrant realm of Java, remember that continuous learning is the key to staying relevant and effective in the ever-evolving field of software development. Be open to exploring diverse applications, from web development to mobile apps and enterprise solutions, and never underestimate the power of hands-on practice. Building projects, no matter how small, will solidify your knowledge and boost your confidence.

In your quest to master Java, ACTE Technologies stands as a valuable ally. Their expert guidance and comprehensive training programs will sharpen your skills, boost your confidence, and pave the way for a rewarding career in software development. Whether you're embarking on your Java journey or looking to take your skills to the next level, ACTE Technologies offers the resources and support you need to thrive in the world of Java programming.

So, with Java as your trusty companion, and ACTE Technologies as your guide, the possibilities are boundless. Your journey is just beginning, and the world of software development awaits your innovation and expertise. Best of luck on your path to mastering Java!

[thara333]

Embarking on the Selenium Learning Journey: A Guide to Web Automation Mastery

Learning Selenium and mastering web automation is an empowering journey that opens doors to diverse opportunities in the realm of software development and testing.  Embracing Selenium's capabilities becomes even more accessible and impactful with Selenium Training in Bangalore. This training equips individuals with the skills and knowledge to harness the full potential of Selenium, enabling them to proficiently navigate web automation challenges and contribute effectively to their respective fields. In this comprehensive guide, we will walk you through the essential steps to learn Selenium on your own, from understanding basic programming concepts to building practical projects and engaging with the Selenium community.

Understand Basic Programming:

Before immersing yourself in the world of Selenium, it's crucial to establish a solid foundation in a programming language. Whether it's Java, Python, C#, or Ruby, a strong grasp of programming concepts is essential for crafting effective Selenium scripts. This initial understanding sets the stage for your journey into web automation.

Set Up Your Development Environment:

Creating a conducive development environment is the next pivotal step. Install the necessary tools, including the Java Development Kit (JDK), an Integrated Development Environment (IDE) such as Eclipse or IntelliJ, and the Selenium WebDriver library. A well-configured environment ensures a seamless and efficient Selenium development process.

Explore Selenium WebDriver Basics:

With your environment set up, it's time to delve into the basics of Selenium WebDriver. Begin by learning how to launch web browsers, navigate through web pages, and interact with different elements like buttons and text fields. Hands-on practice is paramount at this stage, allowing you to gain practical experience and build a solid foundation in Selenium.

Master Locators and Synchronization:

A key aspect of Selenium proficiency is mastering the art of locating web elements using various locators such as ID, class name, XPath, and CSS selectors. Additionally, understanding synchronization techniques is crucial for handling dynamic web pages. Implementing waits ensures the reliability of your scripts, especially in scenarios where elements take time to load.

Build Practical Projects and Join Communities:

Apply your growing knowledge by working on practical projects. Start with a sample automation project and gradually introduce complexity to challenge yourself. Simultaneously, join online communities, forums, and groups dedicated to Selenium. Engage with fellow learners, ask questions, and share your experiences. Learning from a community provides valuable insights and support, enhancing your overall Selenium journey.

As you navigate the world of Selenium, remember that learning is an iterative process. Consistent practice, exploration of real-world scenarios, and engagement with the Selenium community will solidify your skills and propel you towards web automation mastery. Embark on this journey with enthusiasm, and soon you'll find yourself confidently navigating the exciting landscape of Selenium and web automation. To unlock the full potential of Selenium and master the art of web automation, consider enrolling in the Best Selenium Training Institute. This training ensures that individuals gain comprehensive insights, hands-on experience, and practical skills to excel in the dynamic field of web testing and automation.

[full-stack-development21]

Navigating the World of Java: From Settings to Mastery

In the dynamic landscape of programming, Java continues to be a powerhouse, driving innovation and development. Let's explore some essential elements—setting up Java, working with command line arguments, and embarking on a Java development course, all within the broader context of technical courses.

Setting Java: Before delving into the exciting world of Java programming, it's crucial to set up your environment correctly. Configuring Java involves a few key steps, ensuring that your development environment is optimized for seamless coding. From installing the Java Development Kit (JDK) to configuring the Java Virtual Machine (JVM), these initial settings lay the foundation for a smooth coding experience.

Command Line Arguments in Java: As you progress in your Java journey, understanding how to work with command line arguments becomes essential. Command line arguments allow for dynamic input, enhancing the versatility of your Java programs. Dive into the intricacies of parsing and utilizing command line arguments to make your Java applications more interactive and user-friendly.

Java Development Course: For those eager to deepen their Java expertise or start their coding journey, a Java development course is an invaluable resource. These courses cover everything from Java syntax and fundamentals to advanced topics like JavaServer Pages (JSP) and Servlets. Whether you're a novice or an experienced coder, a structured Java development course can refine your skills and keep you up-to-date with the latest industry practices.

Technical Courses: Java is just one facet of the expansive world of technical courses. In today's rapidly evolving tech landscape, a broad spectrum of courses awaits enthusiasts and professionals alike. From data science to web development, technical courses offer a pathway to acquire specialized skills and stay ahead in the competitive field of technology.

Embarking on a journey into the realm of Java—from setting up the environment to mastering command line arguments—is a gateway to a world of possibilities. Whether you're honing your Java skills or exploring diverse technical courses, continuous learning is the key to staying relevant and thriving in the ever-changing landscape of technology. Dive in, embrace the challenges, and let your Java odyssey begin!

[a-shrieking-cloud-of-bats]

god I don't want the fuckin java development kit I want the runtime environment

why can't I find the runtime environment

hell

[topartodyssey]

What is best programming language for Artificial Intelligence projects?

There isn’t a single “best” programming language for artificial intelligence (AI) projects, as the choice of language depends on various factors such as the specific AI task, the libraries and frameworks available, your familiarity with the language, and the requirements of the project.

However, here are some popular programming languages often used in AI development:

Python: Python is one of the most widely used languages in the AI community due to its simplicity, readability, and availability of numerous AI libraries and frameworks. Libraries like TensorFlow, PyTorch, and sci-kit-learn provide powerful tools for machine learning and deep learning tasks. Python���s versatility also allows for rapid prototyping and experimentation.

R: R is a programming language specifically designed for statistical computing and data analysis. It has a rich collection of packages and libraries focused on machine learning, statistical modeling, and data visualization. R is often preferred by statisticians and researchers working in AI and data science domains

. Java: Java is a popular general-purpose programming language that is widely used in enterprise applications. It has strong support for large-scale systems and offers a range of libraries and frameworks for AI development, such as Deeplearning4j and Weka. Java’s performance and scalability make it a good choice for AI projects that require efficient execution.

C++: C++ is a powerful, low-level programming language known for its performance and efficiency. It is commonly used in AI projects that require high computational speed or have strict resource constraints. Frameworks like TensorFlow and OpenCV provide C++ APIs for AI tasks, and libraries like Eigen can be useful for linear algebra and numerical computations.

Julia: Julia is a relatively new language specifically designed for high-performance numerical computing. It combines the ease of use of dynamic languages like Python with the performance of languages like C++. Julia’s strengths lie in scientific computing and machine learning applications, and it aims to provide a productive and efficient environment for AI development.

MATLAB: MATLAB is a proprietary programming language and environment that is widely used in various scientific and engineering disciplines. It offers powerful tools for numerical computing, data analysis, and visualization. MATLAB’s extensive set of toolboxes, including those for machine learning and deep learning, make it a popular choice for AI researchers and practitioners.

Lisp: Lisp is a family of programming languages known for their flexibility and expressive power. Common Lisp and Scheme are popular variants used in AI development. Lisp’s features, such as support for symbolic processing and its ability to manipulate code as data, make it well-suited for tasks like natural language processing, expert systems, and AI research.

Prolog: Prolog is a declarative programming language based on logic programming. It is particularly useful for tasks involving rule-based reasoning and symbolic computation. Prolog is often employed in areas such as expert systems, natural language processing, and knowledge representation.

Scala: Scala is a statically typed programming language that runs on the Java Virtual Machine (JVM). It combines object-oriented and functional programming paradigms and offers a concise syntax. Scala’s interoperability with Java and its strong support for concurrent programming make it a suitable choice for AI projects that require scalability and parallel processing.

Julia: I mentioned Julia earlier, but it’s worth highlighting again. Julia is gaining popularity in the AI community due to its speed, ease of use, and extensive mathematical libraries. Its just-in-time (JIT) compilation capabilities allow for fast execution, and its focus on numerical computing makes it a good fit for scientific computing and machine learning tasks.

It’s worth noting that the choice of programming language is often influenced by the existing ecosystem and community support. Python, with its extensive libraries and frameworks, is generally considered a good starting point for most AI projects due to its flexibility, ease of use, and rich ecosystem. However, depending on the specific requirements and constraints of your project, other languages may also be suitable.

[cuprohastes]

So the history is a little bit more complex, in the way that his history is generally are.

To start with your head, Internet Explorer, or Netscape. There were other browsers which Netscape was based on, but generally speaking once things had settled down it was Internet explorer or Netscape..

Opera was around, but generally nobody really used it and it was pretending to be Netscape.

Netscape Navigator wanted to do everything. It wanted to be your web browser and your email client.

Which these days is a whole bunch of so what?

But back in the days when computers were running on single digits of megabytes, it was considered very bloated and slow.

Internet explorer three for example was actually a lot faster and slimmed down.

Then in the early 2000s, because Netscape becomes so bloated, a new browser came out. It was called Phoenix.

Phoenix was very fast and use less memory. It was still based on Netscape’s code which intern was based on mosaic.

They also got into trouble with somebody else who claimed that the Phoenix name was interfering with their trademark, so they renamed it to Firebird. And more or less the exact same thing happened again so they called it Firefox.

Which is a type of red panda.

Overtime Firefox has become more bloated, but at the same time RAM and storage has expanded and plateaued.

Now, there was also the KDE based web browser Konqueror, which is a little bit of dark humour – first comes navigator, then explorer, and then conqueror…

Apple looked at the KDE open source browser, and did what they always do.

Namely, they grabbed the code renamed it to Safari, which is fully in keeping with the dark humour origins of its original name, and then pretended that they invented it. Sorry – “innovated it“.

However, because Apple had the money to poor development into the project, and because it was open source, the fork which was renamed to Web kit turned out to be a lot better than Internet Explorer or mosaic/Netscape based code.

So Google picked it up for it again into the chromium project, developed chrome and went from there.

Because the chromium browser project was pretty much able to do anything – HTML5 video, audio, supporting flash, advanced CSS, supporting DRM, plug-ins, and crucially, able to re a text without it looking junk as all get out…

… And it could also run Java and JavaScript very fast…

… A lot of the other browser project stopped trying to write their own code and just went with chromium. There was even a text editor called Atom built on the chromium project. Which is great if you don’t mind opening up a text editor that immediately eats 1/4 of your RAM.

But because everybody immediately moved to chromium because it had chrome and Apple funding the development of the base project, we ended up with the homogenised ecosystem.

Including Microsoft Edge, which is a really good browser apart from the normal Microsoft bullshit.

Firefox on the other hand, stuck to its own code base, which has got sections that are prehistoric. For example they used to be a well-known bug that Firefox had no intention of fixing – if you turned on certain graphics settings that were very useful in computer games, it would blur every webpage that Firefox opened.

And Firefox has overtime loaded itself down massively, plumping itself up to the point where it is now no longer the fast nimble web browser that it was supposed to be to replace Netscape.

Unfortunately, even chromium based browsers that are nominally open source are also memory hogs. And because chrome likes to assert dominance over the base code (which is still partially an Apple project) they keep messing around and sticking in things like this new manifest concept which is pretty much dead in the water but that’s not going to stop them, to prevent you using plug-ins to prevent adverts.

Because while Google was a search engine, they made their money from supplying Google ads which were far less horrifying and intrusive and a better user experience.

Which they immediately threw away as soon as they had market dominance.

So now the world is full of basically three types of browser:

Chromium based stuff which is possibly morally and technologically dodgy because it’s still being developed by an evil corporation which is obsessed with preventing people avoiding advertising.

Firefox, which is not good, it’s just less evil. The Firefox foundation is nominally a nonprofit however you will notice that they do like to slip in paid content into new installs, that you then have to dig around to turn off. And eventually they will indeed start explaining that they can’t support certain plug-ins because their biggest donators have a vested interest in not allowing and blocking.

And finally weird twiddly little projects that you’ve never heard of. These tend to be permanently in beta, and most often get to the point where the one or two people dealing with them just give up. Or they are based on an outdated paradigm, like everything should be piped through the command line and displayed as a plain text file.

Which at this point is starting to sound slightly attractive.

So what’s a girl to do?

Use multiple browsers. Go and turn on all of the security, and run DNS blockers and firewalls, and VPNs.

Stop reading webpages directly. Pipe them all through a local read later service, or Firefox pocket to strip out everything but the main article (which doesn’t always work).

Pick up all of your website reading through an RSS reader, and then open up the webpages in an RSS client that removes all of the adverts and re-passes the page as plain text.

If you are slightly horrified by the amount of effort that I’ve just described, congratulations you are a normal human being. You are basically doomed because the bar for entry is now so high that you have to spend months, or years learning the technology to open up a webpage without having your soul sucked out.

If you have strong opinions on which services should be used and which webpages should be blacklisted because they aren’t VPN compliant, hey welcome to the club! You are a terrible awful nerd, just like me.

The most popular browsers in different countries in 2012 and 2022.

by @theworldmaps_

[elgarnaouicom]

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