Introduced time-based release versioning with two releases each year, in March and September, denoted as YY.M. Java SE 10 (18.3) (JDK 10) (March 2018): Introduced var for type inference local variable (similar to JavaScript).Java SE 9 (JDK 9) (September 21, 2017): Introduced modularization of the JDK ( module) under project Jigsaw, the Java Shell ( jshell), and more.Also integrated JavaFX graphics subsystem. Java SE 8 LTS (JDK 8) (March 2014): Included support for Lambda expressions, default and static methods in interfaces, improved collection, and JavaScript runtime.Introduced Strings in switch statement, Binary integer literals, allowing underscores in numeric literals, improved type inference for generic instance creation (or diamond operator ), Catching multiple exception types and rethrowing exceptions with improved type checking. Java SE 7 (JDK 7) (July 2011): First version after Oracle purchased Sun Microsystem - aslo called OracleJDK.Java SE 6 (JDK 6) (December 2006): Renamed J2SE to Java SE (Java Platform Standard Edition).Introduced generics, autoboxing/unboxing, annotation, enum, varargs, for-each loop, static import. J2SE 5.0 (JDK 5) (September 2004): Officially called 5.0 instead of 1.5 (by dropping the 1.).J2SE 1.4 (JDK 1.4) (February 2002): Introduced assert statement, non-blocking IO ( nio), logging API, image IO, Java webstart, regular expression (regex) support.Also introduced Collection Framework and JIT compiler. Included JFC (Java Foundation Classes - Swing, Accessibility API, Java 2D, Pluggable Look & Feel, and Drag & Drop). Also released J2EE (Java 2 Enterprise Edition) and J2ME (Java 2 Micro Edition). J2SE 1.2 (JDK 1.2) (December 1998): Re-branded as "Java 2" and renamed JDK to J2SE (Java 2 Standard Edition). JDK 1.1 (February 1997): Introduced AWT event model, inner class, JavaBean, JDBC, and RMI.JDK 1.0 (January 1996): Originally called Oak (named after the oak tree outside James Gosling's office).JDK Alpha and Beta (1995): Sun Microsystem announced Java in September 23, 1995.Oracle JDK requires a commercial license from Oracle and businesses (since 2019) need to purchase a commercial license in order to receive software updates. OpenJDK is completely open source with a GNU General Public License. The main difference between OpenJdk and OracleJDK is licensing. OracleJDK: This article is based on the "OracleJDK" ) (due to legacy), which is free for personal and development use but no longer free for commercial use.Popular OpenJDK builds includes Azul Zulu, Red Hat OpenJDK (IcedTea), Amazon Corretto, Eclipse Adoptium's Temurin, SapMachine, Microsoft OpenJDK, and more. It does not include web-browser plugin and Web Start. OpenJDK includes the virtual machine (HotSpot), the Java Class Library, and the Java Compiler. OpenJDK: Currently, the "OpenJDK" ) developed by Oracle, Java community, Red Hat, Azul Systems, IBM, Microsoft, Amazon, Apple, SAP, provides a free and open-source Java Platform Standard Edition (or Java SE or JDK) official reference implementation.NET certification can improve your resume’s success rate.The Java Development Kit (JDK), officially named "Java Platform Standard Edition" or "Java SE", is needed for writing and running Java programs. NET Certification Exam for beginners as well as experts in the. Now you can see in sublime text node js server has started. Press Ctrl+B to build the node js file.Send the response body as "Hello World" Http.createServer(function (request, response) ) Create a server.js file write the following code & save the file.Write a nodejs hello world program, save the file & build it to run it in sublime text.Now change the value of “node_command”: false, to “node_command”: “/usr/local/bin/node”.Go to Preferences -> Package settings -> nodejs -> settings user.Nodejs will be listed click on it to install.Type (for “Package Control: Install Package”):.Open the Command Palette in Sublime Text using:.
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'It has been used for energy and endurance since ancient times, with a single pellet containing over 2 million nutrient-packed flower pollen granule.'Ĭlara McGregor looks chic in a LBD as she attends film festival in Italy alongside actor dapper Brendan Fraser and his girlfriend Jeanne Moore Susan Curtis, Natural Health Director of Neal’s Yard Remedies, adds: 'Bee pollen is one of nature's most completely nourishing foods, with nearly all the nutrients required by humans. 'Bee pollen contains all the nutrients we need it is a wonderful vegetarian source of protein and contains all of the B vitamins, including vitamin B12 which can be hard to find in vegetarian sources.' 'It can help increase energy due to the high B vitamin content and includes large amounts of rutin, an antioxidant that helps strengthen capillaries and blood vessels, which can support the cardiovascular system. For example, bee pollen contains more amino acids gram for gram than beef, eggs or cheese. 'It is unique in that it is high in nutrients other products of animal origin don't possess. 'Bee pollen is known for its rich and varied nutritional properties, it is high in proteins, amino acids, vitamins and folic acid. 'These little pellets of bee pollen can then be harvested by bee keepers from the hive and taken to supplement the diet. Katy Mason, Nutritionist at, said: 'Bee pollen is the pollen collected by bees from flowers if you look closely at bees in the summer you may see little yellow balls collected on their legs, this is bee pollen which the bee is gathering to take back to the hive. What does it do? Bee pollen, which can be sprinkled onto salad or into smoothies, is said to boost energy levels, curb cravings and act as an aphrodisiac Its battery pack can power the car for up to 365 miles, while its single electric motor mounted on the rear axle produces 335bhp. If you’re looking for maximum range, you’ll want the i4 eDrive40 Sport. Two versions were released when it was launched in the summer of 2021, the eDrive40 model and the performance-focused M50, which were later joined by an entry-level derivative called the eDrive35. The BMW i4 is essentially an electric version of BMW’s 4 Series Gran Coupe and has a similar footprint to the 3 Series. So, thinking about buying an EV but need an electric car with the longest range possible? Then read on for our list of the best long-range electric cars on sale in the UK, based on their WLTP range figures – their real-world range will vary with driving conditions and climate – and get set to rack up some serious miles in silence. Granted, it’s still a technical showcase rather than a proper production car, but it demonstrates that electric car range anxiety will soon be a thing of the past. Next-generation electric cars are set to offer even longer ranges Mercedes, for example, has already revealed the Vision EQXX concept car which drove more than 1,000km (621 miles) on a single charge in April 2022. Improvements in battery and motor technology, ever-increasing charging speeds, and reductions in energy consumption and losses elsewhere, are helping boost the range of electric cars tremendously – and many now offer north of a claimed 350 miles on a single charge. If you can make do with a 305-mile range instead of 453 miles, though, the Rear-Wheel Drive version of the Tesla Model 3 is yours from a much more affordable £42,990.Fortunately, the longest-range electric cars available now should offer the capabilities required to sate the needs of long-distance drivers. The electric car with the longest range costs a six-figure sum: the Mercedes-Benz EQS 450+ is a genuine limousine and an alternative to the flagship S-Class. What is the cheapest electric car with the longest range? The efficiency of drive systems between car makers varies, too – which is why our list of electric cars with the longest range is so varied. Saloon cars are more efficient than SUVs, for example, while smaller cars are lighter than larger ones. It’s not a given that the electric car with the longest range will have the biggest battery. Do electric cars with the longest range have the biggest batteries? Luckily, more manufacturers now make these vehicles with fast-charge capabilities, cutting the top-up time from hours to minutes. If you’re plugging an electric car with a long range into a wall socket, it will take more than a day to charge. Physics dictates that the bigger the battery, the longer it takes to charge. Electric cars with longest rangeĭo electric cars with the longest range take a long time to charge? Here then is our list of the top 10 electric cars with the longest range that you can buy. As battery technology and overall vehicle efficiency improves, so you can drive ever further in electric cars before you need to top up (and as rapid charging tech improves those top-ups get faster, too). And that’s even before we discuss the fact that charging an electric car isn’t the same as refuelling a regular car, especially if you have access to charging at home.īut we digress. But the difference is coming down very quickly, and the latest electric cars will take you hundreds of miles between charges. In the early days of electric cars, a single charge of the battery would not take you as far as a full tank of petrol or diesel. But as modern electric car tech advances, it’s fast becoming less of a concern. Electric cars with longest range 2023 The concept of ‘range anxiety’ is a genuine worry to a lot of drivers making the switch to electric cars. This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. Usually, plastic drains have a “foam” or rubber gasket to place under the drain “flange” so you do not have to use any sealant. The putty can attack the chrome plating on the plastic drain and cause it to come off. Why can’t you use plumbers putty on plastic? Plumber’s putty is more traditional while silicone caulking is a more modern product, but either one (in most cases) can get the job done. Is it better to use silicone or plumbers putty?īoth plumber’s putty and silicone are sealing compounds designed to provide a water tight fit for pop up drains, sink strainers, undersides of fittings, showers and drains. Thread seal tape (also known as PTFE tape, Teflon tape, or plumber’s tape) is a polytetrafluoroethylene (PTFE) film tape commonly used in plumbing for sealing pipe threads. Pipe dope is generally stronger seal than Teflon tape, which is why plumbers and other professionals use it rather than tape for seals that are permanent. It works with all types of pipe and fitting materials, and it produces a strong seal. Pipe joint compound is easy to find, fairly simple to use, and inexpensive. The broth can then be transferred to freezer containers and frozen for up to 6 months. To deepen the broth’s flavor, add the chicken bones back to the strained broth, cover the pot, and simmer covered on low for another hour. 4.91 stars 30 mins Soup Greek Lemon Chicken Soup Recipe: A great way to warm your belly on cool autumn evenings A light and healthy recipe with bold Greek flavors. Save the chopped meat for chicken salad or meals throughout the week. 4 tablespoons Olive oil 1 cup Carrots (finely diced) 1 cup Celery (finely diced) 1 cup White onions (finely diced) 4 cloves Garlic 1/2 tablespoon Greek. To make a batch of broth to freeze, cook as directed in steps 1 and 2. The broth for this soup can be made and used anywhere broth is called for in this book. Avgolemono is an egg-lemon sauce, that is often added in Greek recipes and especially soups and acts as a thickening agent, giving the soup a unique creamy texture and tangy lemony flavor. The eggs will foam and puff as they are stirred into the hot broth-don’t worry, that’s normal and it will subside as they cook. What is Avgolemono The secret ingredient for this heartwarming Greek lemon chicken soup (Kotosoupa Avgolemono) is the Avgolemono. As with Chinese egg-drop soup, some of the hot. Whipped egg whites might seem like an unorthodox addition to chicken soup, but they create a luxuriously creamy broth. This speedy soup gets its inspiration from avgolemono, a Greek lemony chicken soup usually made with rice. Thickened with egg, this soup somehow manages to be both rich and light, made that much more so with traditionally Mediterranean herbs like oregano and plenty of lemon, which adds a much-needed acidic lift to the broth, juicy pieces of chicken, and rice. And let me tell you, it blows regular chicken soup out of the water. This one was what was offered whenever my brother and I got sick. Thanks to my dad’s Greek heritage, my mom learned how to make a number of traditional Greek dishes. Ketch also briefly teamed with Wolverine and Punisher while investigating one of Blackheart's schemes. Early Career Īfter the Fantastic Four mysteriously disappeared, Ketch, Wolverine, Hulk and Spider-Man joined forces to replace them until the four were rescued and a Skrull plot was exposed. Dan's good friend Jack D'Auria was also eventually caught up in the conflict against Deathwatch's men, where he helped Ghost Rider fight them. Barbara's unconscious body was taken to a hospital by the cops, but not much time later she was killed by Blackout, who had learned Daniel's secret identity and sought revenge on Ghost Rider for burning his face (an injury Blackout actually had himself to blame for). Eventually, Ghost Rider drove into a secluded alleyway where he turned back into Daniel Ketch. 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The two gangs began fighting each other, and Barbara cried out, causing Deathwatch to become aware of her presence. During this excursion, the siblings stumbled upon a confrontation between two gangs, one led by Deathwatch and the other made up of cronies belonging to the Kingpin. On Halloween night when they were teenagers, Danny took his sister Barbara to a graveyard to give her the opportunity to take pictures of the grave of Harry Houdini. Working as a paperboy, the "nice, normal, ordinary" Danny had his photo taken with Phil and Doris Sheldon to mark Phil's decision to retire from photographing superheroes. When on a fifth grade field trip to Manhattan, he was interviewed on television after seeing Spider-Man and the Human Torch driving the Spider-Mobile up walls. 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In no time, I learned that Heroku’s Node.js integration is awesome. That’s when I came across Heroku and its free plan. But I thought it would be a great idea to Google some other alternatives, at least for the sake of Node.js. I have also used Open Shift as well, for other projects (mostly Laravel). I knew Firebase offered free hosting (as I’ve used it in the past). I needed a free cloud host for this project. Since I wasn’t hoping to make money off of Revisebot, hosting it on Digital Ocean didn’t make sense. I am a long time user of Digital Ocean, but it costs around $6/month at a minimum. Time to churn out some JavaScript/Node.js code. Since Revisebot needed to handle custom use cases, I had to write some code. These are plug-n-play things which you can readily use in your chatbots. Revisebot’s NLP using Api.aiĪpi.ai also offers some pre-built agents, such as small talk and weather agents, which can answer users’ queries about weather and other topics. This required custom calculations and persistence mechanisms. In the case of Revisebot, I was storing each user’s learning history and calculating what topics the user should revise next. Note: You can call on custom logic, which resides in your secure back-end, if API.ai’s built-in handlers can’t handle your use case. You program the Api.ai agent to handle all the pre-defined outcomes using its dashboard.Based on that conversation, you create an exclusive flow-diagram (or something like that) which handles all the outcomes of the conversation.First, you write down a probable conversation which can happen between your bot and a person.Here’s what exactly you do with these ai APIs: I played around with it and found it more developer-friendly, so I went with it. I quickly searched for other alternatives and found Api.ai. I played around with it for a while but found it particularly hard. I was aware of Wit.ai, an online API, released by Facebook for enabling NLP in your apps and bots. But for this bot, all of these things were necessities.īeing a tech enthusiast, I always keep tabs on what tools and libraries the Biggies are launching. I come from a full stack development background and I have zero experience with Machine Learning, AI or NLP. It should also understand what you are asking it to do. So, I knew from the start that I’d require AI and NLP to make my bot “smart” and something you could talk to. Natural Language Processing (NLP) and AI are integral parts of any smart chatbot. Read on to see how my chatbot went from an idea to a fully working product - entirely using cloud-based tools. Let’s cut to the chase and talk about the process. I would also save some time since I wouldn’t have to build a standalone client app and go through app stores’ processes. If I built a chatbot, it would serve that purpose and I wouldn’t have to convince anyone to download anything. Forcing users to download a new app is hard. I wanted the user on-boarding to be as frictionless as possible. I needed a back-end to store users’ data and a front-end to collect and show that data. I took a step back and analyzed the situation. Being a developer, my natural response was “Let’s write an app!”īut if you’ve read my other article about why native apps are doomed, you know I was a bit reluctant to write a standalone app for this. I wanted to give you guys a proper tool, in addition to the video, so that you can revise better. In the video, I talked about how frequently you should revise, what the heck is the forgetting curve, and why you should care. This helps you retain things in your mind for a longer period of time, and gives you techniques to revise important projects. In it, I talked about the importance of deliberate revision. It all started with a YouTube video I recorded few months back. By Rajat Saxena How I designed, developed, and deployed a chatbot entirely in the cloud Purchase a commercial license for advanced features and support. MUI has been building MIT-licensed React components since 2014, and we are committed to the continued advancement of the open-source libraries.Īnything we release under an MIT license will remain MIT-licensed forever. You can learn more about our stewardship ethos in this document from our company handbook. We offer commercial licenses to developers who need the most advanced features that cannot be easily maintained by the open-source community.Ĭommercial licenses enable us to support a full-time staff of engineers, which is simply not possible through the MIT model. Rest assured that when we release features commercially, it's only because we believe that you will not find a better MIT-licensed alternative anywhere else. See the Pricing page for a detailed feature comparison. The community version of MUI X is published under an MIT license and is free forever. This version contains features that we believe are maintainable by contributions from the open-source community. The Pro version of MUI X expands on the features of the community version with more advanced capabilities such as multi-filtering, multi-sorting, column resizing and column pinning for the data grid as well as the date range picker component. features exclusive to the Pro version are marked with the icon throughout the documentation.The Pro version is available under a commercial license-visit the Pricing page for details. The Premium version of MUI X covers the most advanced features of the data grid, such as row grouping, Excel export, and aggregation, in addition to everything that's included in the Pro Plan. features exclusive to the Premium version are marked with the icon throughout the documentation.The Premium version is available under a commercial license-visit the Pricing page for details. import Copy (or $ke圜 ) What is the key for? Upgrading from Community to is a superset of so you can upgrade from the Community to the Pro plan like this: So to upgrade, replace the npm packages and the components' imports with the ones from the target plan.įor example, when you want to upgrade the Data Grid: The npm packages of any given plan are a superset of the packages on the plan below. The license key is meant to help you stay compliant with the EULA of the commercial licenses. While each developer needs to be licensed, the license key is set once per project, where the components are used. It's expected that the license key will be exposed in a JavaScript bundle The license key is checked without making any network requests-it's designed to be public. We simply ask licensed users not to actively publicize their license key. If the validation of the license key fails, the component displays a watermark and provides a console warning in both development and production. Here are the different possible validation errors: 1. This error indicates that your license key is missing. The component will look something like this: You might not be allowed to use the software. To solve the issue, you can check the free trial conditions, if you are eligible no actions are required. If you are not eligible to the free trial, you need to purchase a license or stop using the software immediately. This error indicates that you have installed a version of the software released after the end of your license term.īy default, commercial licenses provide access to new versions released during the first year after the purchase. To solve the issue, you can renew your license or install an older version of the npm package that is compatible with your license key.įor example, if you purchase a one-year license today, you will be able to update to any version-including major versions-released in the next twelve months. This error indicates that your license key is expired. The subscription license key works forever in production with any version released before your license term ends. However, when the term ends, you are not allowed to use the current or older versions in development. To solve the issue, you can renew your license or stop making changes to code depending on MUI X's APIs. This error indicates that your use of MUI X is not compatible with the plan of your license key. The feature you are trying to use is not included in the plan of your license key. This happens if you try to use DataGridPremium with a license key for the Pro plan. To solve the issue, you can upgrade your plan from Pro to Premium. Or if you didn't intend to use Premium features, you can replace the import of with 5. This error indicates that your MUI X license key format isn't valid. It could be because the license key is missing a character or has a typo. When evaluating the accuracy, employing various batch size values may have important repercussions that should be taken into account when selecting one. Then we can plot this variation in the graph below: Accuracy after 10 epoches vs Batch size for Tensorflow framework ( Source) The researchers evaluated, for the TensorFlow framework, the accuracy after 10 epochs for different values of the batch size: Batch size The same academic paper included some other interesting findings about the batch size and its effect on the trained algorithm accuracy. However, this effect is majorly dependent on the model used! Accuracy and algorithm performance The framework used, the parameters of the model and the model itself as well as each batch of data affect memory usage. Generally speaking, memory consumption increases with higher batch size values. This is because PyTorch employs a method of distribution that can decrease GPU utilization, CPU memory, and training speed when the batch size is too high, and vice versa. In the case of PyTorch, GPU and memory utilization remain essentially unchanged. Therefore, a big batch size can boost the GPU usage and training performance as long as there is enough memory to accommodate everything. The gradient of the batch size is often computed in parallel on the GPU. Increasing batch size is a straightforward technique to boost GPU usage, though it is not always successful. Data relative to a single batch will be removed from the memory after processing for a single epoch. On the other hand, batch data processing is how TensorFlow and PyTorch operate. The fact that MXnet saves all batch size data in the GPU RAM and then releases them once the entire application has run through is one potential explanation. Most of the time, MXnet takes up the most memory. When the batch size increases, we can see that MXnet takes up substantially more memory than the other two do, although they barely change. GPU Memory Usage under 3 frameworks ( Source) Furthermore, we can also observe that as batch sizes grow, GPU consumption will grow dramatically as well. While, TensorFlow has the highest GPU utilization rate and PyTorch has the lowest when batch sizes are relatively large. We see that TensorFlow's GPU usage is the lowest and MXnet's GPU utilization is largest when batch size is relatively small. These results were then plotted in graphs for comparison GPU Usage under 3 frameworks ( Source) They used 3 of the most used machine learning frameworks (TensorFlow, PyTorch and MXnet) then recorded the results: Machine learning researchers at the University of Ohio practically evaluated the effect of increasing batch size on the GPU utilization. Identifying the effect of batch size on training GPU usage and memoryįirst, let's evaluate the effect of varying batch size on GPU usage and GPU memory. Then, we would need a number of 500 iterations ( 10 000 = 500 × 20 ) to go through one epoch. For example, if a Dataset contains 10000 samples divided into 20 batches. IterationĪn iteration is simply the number of batches needed to complete a single epoch. Depending on the configuration, there can be one or more batches within a single epoch. One epoch indicates that the internal model parameters have had a chance to be updated one time for each sample in the training Dataset. The number of epochs, which is a hyperparameter that controls how many times the learning algorithm will run through the full training Dataset. This process will be repeated for the subsequent batch of samples when the parameters have been updated. In order to determine the updates for the trainable model variables, the gradients of all samples are then averaged or added, depending on the type of optimizer that is used. That is, a batch of samples is passed through the model at each training step and then passed backward to determine the gradients for each sample. The batch size refers to the quantity of samples used to train a model before updating its trainable model variables, or weights and biases. It can also be called: observation, an input vector, or a feature vector. It includes inputs for the training algorithm as well as outputs for calculating the errors by comparing to the prediction. Understanding the terminology SampleĪ sample represents a single element of data. Then we'll take a look at what can be done to find the perfect batch size for our GPU/Model combination. We'll also see how this element can be affected by the GPU's power and it's available memory. In this article, we’ll discuss batch sizing constraints one may come across while training a neural network architecture. These settings might range from optimizers to batch sizes, layer stack setup, and even data shape. When building machine learning models, we are always looking for the most efficient parameters for our models and training configurations. |
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