Ruby 3.2.0 Is From Another Dimension — and it shows! This version of Ruby is packed with amazing features and upgrades that make it even faster, stronger, and more versatile than ever before. Highlights include improved memory usage, better parallelization, updated Google V8 JavaScript engine support, language-level JIT compiler, and improved threading efficiency. All these combined improvements have taken this powerful programming language to the next level! Enhanced JIT compiler Enhanced type inference Pattern matching Pattern matching is a powerful and flexible way to match data structures and extract values from them. It is a feature that is commonly found in functional programming languages, and it is now available in Ruby 3.2.0. One of the main benefits of pattern matching is that it allows you to write concise and expressive code, especially when working with complex data structures. For example, consider the following code, which uses pattern matching to extract the first and last names from a list of people: This code will output the first and last names of each person in the list, separated by a space. Notice how pattern matching allows us to easily extract the values we want without having to use explicit variable assignments or restructuring. Frozen string literals Other Improvements Ruby 3.2.0 includes a number of other improvements in addition to the major features discussed above. Here are a few of the other notable improvements in Ruby 3.2.0: If you like this post then you may also like to share the same with your colleagues. Let us know your thoughts on our blogs and on social media posts on Instagram, Facebook, LinkedIn, and Twitter. You may also like to see: Agile and Waterfall: Comparing Two Popular Approaches to Software Development

In the past few years, we have seen an explosion in the use and adoption of blockchain technology. But what exactly is blockchain and why is it causing such a stir? A blockchain is distributed across a network of computers which means that it allows for increased security and transparency as each transaction is verified by multiple computers on the network. This means that the record cannot be altered retroactively without the alteration of all subsequent blocks and the consensus of the network. In other words, it is a secure and transparent way to store and transfer data and value. One of the key advantages of blockchain technology is that it allows for secure peer-to-peer transactions without the need for a central authority or third-party intermediary. This has the potential to disrupt and revolutionize a wide range of industries, including finance, banking, and supply chain management. In addition to its other features, blockchain also has the ability to facilitate smart contracts. These are self-executing contracts in which the terms of the agreement between buyer and seller are written directly into lines of code. This has the potential to streamline and automate many business processes, reducing the risk of fraud and increasing efficiency. The rise of blockchain technology has the potential to significantly change the way we do business and interact with each other. As more and more people become aware of and adopt blockchain, it is likely to play an increasingly important role in shaping the future of the global economy. If you like this post and found it informational then follow us on our social media accounts on Instagram, Facebook, LinkedIn, and Twitter and share your experience with us and your colleagues. You may also like to see: OpenAI new and improved embedding model

OpenAI has announced a new embedding model which is more capable, cost-effective, and simpler to use than its previous model. The new model, text-embedding-ada-002, replaces five separate models for text search, text similarity, and code search, and outperforms Davinci, their previous most capable model, at most tasks. The new model is priced 99.8% lower than Davinci. Since the inception of the OpenAI /embeddings endpoint, many applications have started to use numerical representations of concepts, known as embeddings, to personalize, recommend, and search for content. Embeddings make it easy for computers to understand relationships between different concepts, which has led to their widespread use in a variety of applications. You can get embeddings for the new model using just two lines of code with the OpenAI Python Library, just like you could with previous models: Model Improvements 1) Stronger performance text-embedding-ada-002 outperforms all the old embedding models on text search, code search, and sentence similarity tasks. It also gets comparable performance on text classification. For each task category, OpenAI evaluates the models on the datasets used in old embeddings. 2) Unification of capabilities OpenAI has merged five separate models (text-similarity, text-search-query, text-search-doc, code-search-text, and code-search-code) into a single new model, making the /embeddings endpoint much simpler to use. This new model outperforms the previous embedding models on a variety of text search, sentence similarity, and code search benchmarks. 3) Longer context The new model has a context length of 8192, which is four times longer than the previous model. This makes it more convenient to work with long documents. 4) Smaller embedding size The new embeddings have 1536 dimensions, which is one-eighth the size of davinci-001 embeddings. This makes the new embeddings more cost-effective when working with vector databases. 5) Reduced price OpenAI has slashed the price of its new embedding models by a whopping 90% in comparison to its old models of the same size. The new model performs just as well, if not better, than the old Davinci models but at less than one percent of the price. The new embedding model is a big step forward for natural language processing and code tasks. It’ll be exciting to see how customers use it to create even more powerful applications in their respective fields. Limitations The new text-embedding-ada-002 model isn’t outperforming text-similarity-davinci-001 on the SentEval linear probing classification benchmark. If you need to train a light-weighted linear layer on top of embedding vectors for classification prediction, they suggest comparing the new model to text-similarity-davinci-001 and choosing whichever model gives optimal performance. Examples of Embeddings APIs KelendarAI It’s a sales outreach product that uses embeddings to match the right sales pitch to the right customers. It does this by looking at customer profiles and sale pitches and then finding the most suitable matches. This process can eliminate 40-56% of unwanted targeting. Notion It’s an online workspace company, that will use OpenAI’s new word embeddings to improve Notion search beyond today’s keyword matching systems. This will help users find the right Notion workspace for their needs more easily and quickly. If you like this post let us know what would you want us to post next in the comment section also help this post reach more and more people via our social media accounts on Instagram, Facebook, Twitter, and LinkedIn. You also like to see: Getting Started with Laravel Sanctum: A Guide to Building Secure Applications

Have you ever wanted to have a conversation with a computer that feels like you’re talking to a real person? If so, you may be interested in ChatGPT. One of the most impressive things about ChatGPT is its ability to understand and respond to context. This means that it can carry on a conversation with you even if you switch topics or ask it a question that’s unrelated to the previous conversation. This is made possible by the use of pre-trained language models, which give ChatGPT a large amount of knowledge about the structure and meaning of language. In addition to being able to carry on a conversation, Chat GPT can also be used to generate text for other purposes. For example, it could be used to generate descriptions of products or services or to create content for social media posts or blog articles. If you want to create a program in PHP, Laravel, or any other programming language, you simply ask ChatGPT, “Can you write a PHP program for me to calculate time according to timezone?” While Chat GPT is an impressive tool, it’s important to keep in mind that it’s not a replacement for human interaction. It’s a tool that can assist with tasks that involve language processing, but it’s not capable of fully replicating the complexity and nuance of human thought and communication. Do you know Laravel vs Codeigniter, Which is the best in 2023? Overall, Chat GPT is a powerful and useful tool that can help you communicate with computers in a more natural and human-like way. If you’re interested in using it for your own projects or just want to have a conversation with a computer, give Chat GPT a try and see what it can do. If you like this post then you may also like to share the same with your colleagues. Let us know your thoughts on our blogs and on social media posts on Instagram, Facebook, LinkedIn, and Twitter.

Rust is a programming language that can be used for a variety of purposes. It is designed to be fast and efficient, as well as emphasize type safety and concurrency. Rust is a systems programming language that is designed to be safe, concurrent, and practical. It achieves these goals by using an innovative ownership system and borrowing concepts to enforce memory safety while also preventing data races at compile time. This makes Rust ideal for developing low-level systems software while also providing high-level features that are typically found in functional programming languages. The Rust programming language team is excited to announce version 1.66.0! Rust is a dependable and efficient programming language that empowers everyone to easily build software. If you’re using an older version of Rust, you can update to 1.66.0 with the following command: If you need it, you can get rustup from the right page on their website. You can also find the detailed release notes for 1.66.0 on GitHub. The new features in 1.66.0 stable | The explicit discrimination of enums with fields Even when they have fields, enums with integer representations can now use explicit discriminates. You can use explicit discriminants on enums with representations, as long as none of their variants have fields. Explicit discriminants are most useful when passing values across language boundaries where the enum’s representation needs to match in both languages. The Bar enum is guaranteed to have the same layout as u8, which means that the Bar::C variant is guaranteed to have a discriminant of 42. This is because variants without explicitly-specified values will have discriminants that are automatically assigned according to their order in the source code. So, in this case, Bar::A will have a discriminant of 0, Bar::B will have a discriminant of 1, and Bar::D will have a discriminant of 43. Without this feature, the only way to set the explicit value of Bar::C would be to add 41 unnecessary variants before it! This is a great feature because it allows you to be more concise in your code and eliminates the need for extra variants that take up space and don’t add anything useful to your enum. Please note that while it is possible to inspect the discriminant of a field-less enum via casting (e.g. Bar::C as u8), Rust currently provides no language-level way to access the raw discriminant of an enum with fields. Instead, unsafe code must be used to inspect the discriminant of an enum with fields. Since this feature is intended for use with cross-language FFI where unsafe code is already necessary, this should hopefully not be too much of an extra burden. In the meantime, if all you need is an opaque handle to the discriminant, please see the std::mem::discriminant function. | core::hint::black_box When you’re benchmarking or examining the machine code produced by a compiler, there are times when you’ll want to prevent optimizations from happening in certain places. For example, the function push_cap executes Vec::push 4 times in a loop: When you inspect the optimized output of the compiler on x86_64, you’ll notice that it’s quite concise: The entire function push_cap we wanted to benchmark has been optimized away, so there’s no need to worry about it! We can work around this by using the newly stabilized black_box function. Functionally, black_box doesn’t do much – it takes the value you pass it and passes it right back. However, internally, the compiler treats black_box as a function that could do anything with its input and return any value (as its name implies). This allows us to bypass some restrictions that would otherwise apply. This is a very useful optimization hint for the compiler. For example, if we know that the vector will be used after every iteration of the for loop, we can tell the compiler to disable optimizations that might otherwise be performed. In our optimized assembly output, we can now find the unrolled for loop: You can also see a side effect of calling black_box in this assembly output. The instruction mov qword ptr [rsp + 8], rbx is uselessly repeated after every iteration. This instruction writes the address v.as_ptr() as the first argument of the function, which is never actually called. This can potentially cause problems down the line if the function is ever called with a different first argument. As you can see, the code that is produced doesn’t take into account the possible allocations that could be caused by the push call. This is because the compiler is still using the fact that we called Vec::with_capacity(4) in the bench_push function. If you want to see how black_box affects compiler optimizations, try playing around with its placement or using it in multiple places. | cargo remove Rust 1.62.0 introduced cargo add, a command line utility that allows you to add dependencies to your project. You can now use cargo remove to remove dependencies as well. | Stabilized APIs | Other changes The Rust 1.66 release also brings a few other changes, including: You may also check out everything that has changed in Rust. If you like this post then you may also like to share the same with your colleagues. Let us know your thoughts on our blogs and on social media posts on Instagram, Facebook, LinkedIn, and Twitter.

A full-stack developer is a web developer who can design and develop both the front-end and back-end of a website. The front end (the parts of a website that users see and interact with) and the back end (the behind-the-scenes data storage and processing) require different skill sets. A full-stack developer must be proficient in both. A full-stack developer is a computer programming professional who can work in-house or at a computer development company. Full-stack developers typically work on website development, software engineering, and other components for other businesses. What does a full-stack developer do? Full-stack developers design and create websites and applications for various platforms. A full-stack developer’s job description might include the following: 1) Designing user interactions on web pages2) Creating visual designs for websites or applications3) Optimizing web pages for maximum speed and scalability4) Ensuring cross-platform compatibility of websites and applications5) Collaborating with back-end developers to integrate user-facing elements with server-side logic As a full-stack developer, you are responsible for creating software that uses a variety of different technologies. This can include everything from the front-end user interface to the back-end database. Because new technologies are always emerging, full-stack developers need to stay up-to-date on the latest trends and developments in the field. This can be one of the most exciting aspects of the job, as you are constantly learning new things and pushing the limits of what is possible. Full-stack developer skills Full-stack development is a field for the creative problem-solvers of the internet age. As a full-stack developer, you’ll need to be able to wear many hats – from illustrating and designing user interfaces to coding backend systems and everything in between. If you’re interested in becoming a full-stack developer, you should make sure you have a strong foundation in the following areas: Front-end development is the programming that creates the interface and visual components of a website. This coding can include drop-down menus, fonts, colors, and page layouts. Full-stack developers need to know how to work with front-end technologies like HTML, CSS, and scripting languages such as JavaScript to make websites and applications look good and function properly. Back-end development skills involve using back-end programming languages such as Python, PHP, Ruby on Rails, and CakePHP. Furthermore, developers must understand how algorithms and business logic work to be successful in this field. In web design, you’ll use software programs like Photoshop to create graphics and themes. Get to know basic UI (user interface) design principles to help you with navigational elements, backgrounds, audio, and video elements. These principles will come in handy when you’re ready to design your website! Database management skills are a requirement for full-stack developers, as well as being part of the skillset needed for back-end web development. A full-stack developer should be proficient in designing, understanding, and manipulating database queries and web storage. As a full-stack developer, you may need to have a working knowledge of the following programming languages and tools: How to become a full-stack developer? 1) Consider earning a degree.2) Research entry-level roles.3) Develop your coding skills.4) Build a portfolio.5) Practice technical interview questions. If you like this post let us know by commenting below and if you would like to share the post with your friends then you may follow our social media accounts on Instagram, Facebook, Twitter, and LinkedIn. You also like to see: How 5 ex-Googlers knew it was time to move on?

Google is one of the most sought-after places to work in the United States, and it’s not hard to see why. With a median salary of over $160,000, top-notch benefits packages, and incredible perks like free gourmet food, massages, and music lessons, it’s no wonder so many people aspire to work at Google. If you’re lucky enough to land a job at the tech giant, you’ll be joining an elite group of some of the best and brightest minds in the country. Now the question is then why would someone like to leave google? The reasons have included everything from frustration with company politics to feeling more freedom working at a small company. | Liz Wessel – Cofounder and CEO of WayUP || Ex Product Marketing Manager at Google She said that she knew it was her time to leave the company as she couldn’t stop thinking about her next career move. She also said that “If you can’t do a good job at your job anymore because you’re spending all of your time thinking about another job opportunity, that’s probably a good sign”. | Krystal Bick – Social Media Influencer || Ex Product Marketing Manager at Google Krystal has left her job to do something for herself and something that was her side hustle. She left her six-figure job at google in 2015 to become a social media influencer. She realized it was time to leave when she saw that influencer marketing was starting to attract more advertising dollars. Now, she can earn up to four figures for a single sponsored post, and five figures for brand ambassadorships. But more importantly, she said being an entrepreneur is liberating. She also said to one of her colleagues that “There’s 90% certainty and there’s 10% off, ‘this could really fail miserably and then I don’t know what I’m going to do,’ but I think I was comfortable enough with the fact that even if I fall flat on my face, at least I tried it and I tried it at a moment where I feel like it really was an opportunity to try it”. Libby Leffler — Vice president at SoFi || Ex Account Strategist at Google Libby has left Google in 2008 to work for Facebook, and in seven years, she worked her way up from a client partner to strategic partnership manager. When she was offered the client partner job, her main worry was that she didn’t have any formal sales training. “I saw this as a great opportunity to jump in and figure out what I could do,” Leffler said. “My gut feeling at that time was to go for it and look for new opportunities where I could learn skills that I wasn’t familiar with.” Ari Paparo — Cofounder and CEO of Beeswax || Ex Product director, advertising products at Google Ari Paparo has left google in 2010 after two years as an ad executive. He served in a leadership position at Nielsen, AppNexus, and Bazaarvoice before leaving to start his own ad-tech company named Beeswax. He also added that the decision to leave Google was based on finding the right company culture that can allow him to succeed. “I saw myself as more of a businessperson than a technologist,” he told Business Insider. “And Google is very much an engineering culture, so there’s a limit to what you can get done as a businessperson.” | Ram Rengaswamy — Cofounder and CTO at Beeswax || Ex Lead & Software Engineer at Google Ram has left Google in 2014 to start Beeswax with other two former Googlers. He has ended his seven-year-long journey to fulfill his desire to build projects from scratch. “I kind of knew that I wasn’t growing much at Google,”. “I mean, yes, there were challenging problems to solve, but there are so many smart people there who’ve done all the heavy lifting that honestly, what I felt like I was doing was taking the Lego bricks and just building stuff on top. So someone had already done the hard work and for me, I was just putting things together.” He also added that “He was inquisitive, Curious and wasn’t learning enough on the job”. If you like this post then let us know by giving it a like. Also, let us know your views on People who left google. You may also like to share the same with your social media friends. So in order to keep getting and sharing such posts follow us on Instagram, Facebook, Twitter, and LinkedIn. You also like to see: Websites that every developer should visit once!

Although we can’t speak every language, We are confident that there are more examples of infrequent packages being created in Go, Haskell, ML, R, and so on. It’s also worth mentioning that we often use JSON, XML, and YAML to represent different kinds of data.

Javascript is a scripting programming language that allows the programmer to implement complex features on web pages. JS helps in displaying timely content updates, interactive maps, animated graphics, scrolling videos, etc. In short, the internet would be nothing with Javascript. In this post, I have covered some of the basic concepts in JS that every programmer should know. 1.Hoisting It is a mechanism where functions and variables declarations are moved to the top of their scope before execution of the code. Hoisting allows the functions to be used in code before they have been declared. For example, Javascript only hoists declaration, it does not initialize. That means it doesn’t matter where the functions and variables have been declared, they are always moved to the top of their scope regardless of whether their scope is local or global. 2.Currying Currying is a method to transform the functions with multiple arguments into multiple functions of a single argument in a sequence. In simple words, a function takes the first argument and returns a new function simultaneously it takes the second function and returns a new function and then takes the third one and the process keeps on going until it fulfills all the arguments. Example: Currying helps to create high-order functions in event handling. 3. Polymorphism Polymorphism is one of the key concepts for any object-oriented programming. Its use of it is to display a message in more than one form. It is the practice of designing the objects to share behaviors and override shared behaviors with specific ones and for it, polymorphism takes advantage of inheritance to make it happen. Example: In the above program prototype-based method for people, the constructor function has to override by another prototype function to return the Name as uppercase. We can override functions in different scopes, and it is also possible for method overloading. Even though Javascript doesn’t have a method of overloading but we can achieve it with the help of object-oriented programming. 4. Promises A promise is an asynchronous function. The promise object represents the eventual completion of a synchronous operation of an asynchronous operation and its value. It can be used to avoid chaining callbacks. A promise can be one of the below states: 5. Async & Await Async and Await make promises to write easily. In JS asynchronous patterns can be handled in different versions like below: Many programmers have a misunderstanding about async & await, but they are promises only. Every async function returns a promise. The await can only be used inside an async function and everything that you will await will be a promise. In order to know about async and await the programmer should have a proper understanding of the promises. If you can understand async & await, it will help you to implement functional programming easily and will increase the readability of code. Please do let me know how you like this blog and also let me know if you’re interested in specific kind of blog, Thanks.

Although it’s difficult to rank databases based on their functionality and needs. It’s possible to rank the database system according to its adaptation worldwide. Based upon the adaptation their score has been calculated and they’ve been ranked. Below is the list of the top 10 databases based on their uses in 2022. Now let’s take a look at their pros and cons. Oracle Pros Highly compatible with multiple apps and platforms Scalable Privacy and Security Cons Expensive Need to know SQL to use this database. MySQL Pros Opensource Cross-platform Reliable Security Easy to use Cons Not for large-sized data Does not support SQL check constraints Debugging is bad than paid tools Transaction handling is inefficient. SQL Server Pros Multiple support editions Online Documentation In-house and Cloud support Various tools and Apps Cons Expensive enterprise edition Availability on multiple platforms but steps to install are tough in Mac systems. PostgreSQL Pros Extremely programmable Highly extensible Rich set of Indexing Cons Less efficient than MySQL Difficult to troubleshoot MongoDB Pros Flexible schema not available in RDBMS concepts Scalability It’s free Cons High Memory Usage Less flexibility with Query If you like our straight to the point blogs let us know in comment and if you like please make sure you hit the same on the post.

Apple launched the iOS 16 on, 12th September 2022 and it will be available to iPhone 8 and the upper devices. Today we are going to let you know about the best 5 features of iOS 16 even though we have tested the beta version and after using it some of them were mentioned by apple but some of them didn’t. So let’s go to our main topic by sharing the top 5 features of iOS 16. Features: The ability to edit and unsend messages. So now you can long-press the message you send and for up to 15 minutes after you first send something, you can edit, and then edit the message and it’ll revise to whosoever you’ve sent it to. Else you can long press on the message and then unsend it completely. Even though the receiver would come to know that the message has been edited but they won’t come to know what was been changed or updated. Note: If you’re going to try this with someone who is not on iOS 16 then it won’t work. That means they won’t be able to see the edit or the undo on their end but they would be able to see the early message you sent them by mistake. Live text where you’ve been able to open any picture and was able to recognize any text in an image and let you interact with it, let’s you copy, paste it somewhere. But with iOS 16 you can pause a video frame and with the text somewhere in it. You can lift that text from inside the video. But the most amazing thing about this feature is that in a photo with an object and a background you can long press on the object of a photo and copy and paste it anywhere like in your messages. It erases the background and does all the masking for you and actually, it does a good job. Small things: The weather shows the individual daytime forecast now. So now for one day, you’ll be able to move and see the temperature fluctuate throughout the day or other weather conditions. You can now watch a video on safari now and it does give you an option to do so. The FaceID also works in a landscape now. The home screen says search and once you click on it slightly. it will allow you to search as you were able to do it in a spotlight. Continuity Camera: Apple has the best camera in the iPhones but when we talk about the iPad it’s the same for a long. So Apple came up with an idea that why don’t we use the good cameras that we make, which are the iPhone cameras as your webcam. So to do that you need to have iOS 16 and the latest version of the macOS Ventura to do it. Once you got everything done it turns the iPhone into your Mac’s webcam and believes me it looks infinitely better but it also gives you other features which your iPhone camera does like Portrait mode, Studio Light, and center stage. But now wait for the coolest part of this is called Desk View. So by using your phone’s ultra-wide camera when it’s mounted on top of your laptop or your monitor you can get your standard webcam view and a top-down view of whatever is there on the desk in front of you. It shows whatever is there in front of your keyboard and where your hands are at and anything that’s pretty flat to the ground it seems like it’s magic but it works pretty well. The new lock screen: Let me tell you that this is the biggest and most visual iOS change. The lock screen looks different with the new clock font, matching colors, and some widgets. You can customize your lock screen if you long press the screen click on the customize button and just tap whatever you want to customize. You change the font, color, and contrast. you can also add widgets above the clock also below the clock. You just need to click the one to add or just drag it in. So now you can create multiple different lock screens and save them the one that you’ve customized and set up. Just like the watch faces on the Apple watch you can just hold it down and switch between any one of the lock screens you’ve made at any time.