Trending March 2024 # Wd_Black Gaming Hdd And Ssd Look Like Shipping Containers # Suggested April 2024 # Top 7 Popular

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WD_Black gaming HDD and SSD look like shipping containers

This week the folks at Western Digital released a new collection of WD_Black series hard drives (HDD and SSD) with radical new industrial designs. When you’re buying a hard disk drive or solid-state drive, especially an external HDD or SSD, you’ll first look at the capabilities of the drive – mostly innards. Then you’ll look at the external bits – the way the case looks, the bits you’ll be seeing every time you access your gaming machine. Because of this, Western Digital went the extra mile (in the right direction) with their latest round of WD_Black.

Western Digital previously released the WD_Black SN750 NVMe SSD – and it was truly well made. Again, not only because it worked the way it was meant to work, but because it looked pretty awesome. Now Western Digital is aiming to expand on their success with the first wave, bringing five new external drives to the gamer masses.

These drives bring a variety of storage capacities to the gaming machines you’ve got in your living room, basement, or bedroom. These include the new WD_Black P10 Game Drive, P10 Game Drive for Xbox One, D10, D10 for Xbox One, and the boss of them all: the WD_Black P50 Game Drive.

The P10 Game Drive is an HDD that works with up to 5TB space, USB 3.2 Gen 1, has a 3-year warranty. The Xbox One version of the P10 has “high-performance to help optimize the Xbox One gaming experience” – and it includes a two-month membership of Xbox Game Pass Ultimate.

The D10 Game Drive is also an HDD with up to 8TB space with speeds up to 250MB/s, rated at 7200RPM, and it’s rolling with active cooling tech inside. The D10 also has a three-year limited warranty. The Xbox One version of the D10 has up to 12TB space and includes a three-month membership of Xbox Game Pass Ultimate. NOTE: All of these drives have a three-year limited warranty save the P50, which has a five-year limited warranty.

The speediest of the batch is the WD_Black P50 Game Drive. This block has an SSD with “first-to-industry USB 3.2 gen 2×2 port for a game drive” that’ll deliver what Western Digital says will be speeds up to 2000MB/s. This drive has up to 2TB of space for games and game data storage.

Users will find these drives available soon. The WD_Black P10 Game Drive will be released in capacities from 2TB to 5TB and will cost anywhere from $89.99 up to $149.99 MSRP USD in the USA. This drive should be available ASAP – it might even be at your local retailer right this minute. The WD_Black P10 Game Drive for Xbox One will be rolling with data capacities from 3TB up to 5TB. It’ll cost anywhere from $109.99 up to $149.99 MSRP USD in the USA.

The WD_Black D10 Game Drive (8TB capacity) will cost approximately $200 USD in the USA. The WD_Black D10 Game Drive for Xbox One (12TB capacity) will cost approximately $300 USD in the USA.

The WD_Black P10 Game Drive for Xbox One, the WD_Black D10 Game Drive and the WD_Black D10 for Xbox One will be made available in stores “this quarter.” The only drive that won’t be out until the last quarter of this year is the WD_Black P50 Game Drive, a drive which also currently has no quoted price.

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What Does An Algorithm Look Like?

We know that Facebook, Google, and Amazon have algorithms that give us updates, search results, and product recommendations, but what does that actually mean? What qualifies as an algorithm? Can you write one down? What would it look like if you did? Since they run so many parts of our daily lives, it’s important to have a basic sense of what exactly is going on under the hood – and it’s really not as intimidating as it often seems.

Informal definition: algorithms are just recipes

At its most basic, an algorithm is simply a set of well-defined steps that you can follow, generally taking some inputs and producing a different set of outputs. A cupcake recipe can be an algorithm. So are the directions to a friend’s house, playing a piece of sheet music, or the process of looking up a word in a dictionary. Raymond Queneau even printed a book of ten sonnets with lines that can be mixed and matched seamlessly to create 100,000,000,000 original poems. How these algorithms are implemented varies widely, but you don’t need to be familiar with any programming languages to understand the basic logic behind them. For example, the following is an algorithm for giving simple walking directions.

After walking out of your door, turn right.

Walk down the road until you come to Market Street

When you reach Market Street, turn right.

Walk straight until you see a brick building.

Go in the front door.

That’s a very simple algorithm that uses a lot of inputs that humans can easily process; we already know about walking, streets, materials, entering, and all those other things. If we were creating a directional algorithm for a robot, it would have to be a lot longer and more specific, which is what makes many algorithms look so confusing to humans.

More formally: algorithms are clear, unambiguous formulas

One algorithm you probably use every day is Google’s PageRank algorithm, which looks at hundreds of factors about a webpage, runs them through its formula, and assigns it a score. The search results you see in response to your search term are a direct result of that score. It works so well because it follows a clearly defined set of rules that tell it what to look for, what to ignore, and what to do with the information it finds.

To visualize a very simple search process, here’s a linear search algorithm looking for the number 3 in a list of numbers.

list = [1, 3, 5]

Check each item in the list.

As soon as one of the items equals three, return its position.

If three is not in the list, return “Three is not in the list!”

Following these steps, the computer will look at the first number, which is one. Since it doesn’t equal three, it moves on and checks the next number. Since that number is three, it returns something like “The number three is the second item in the list.”

In Python code, a linear sorting algorithm would look like the following image.

All that code is doing is taking a list of numbers, looking at each element in the list, and checking to see if it matches the search term. If nothing does, it just returns “False.” This is an extremely simple algorithm, but whether it’s one line of code or a million, every algorithm in existence operates on the same basic principle: take information, process it according to some preset logic, and get results.

Everyday algorithms

Most of the algorithms that actually run our everyday lives aren’t open source. We don’t know exactly how Google determines what search results to show or how Facebook puts your news feed together, but we can still see the results of those computations. Nonetheless, they are important, and we have a pretty good idea of the basic logic behind them.

Google PageRank works by looking at the number and quality of links leading to and from a webpage, though there are a large number of secret criteria that are constantly being updated to improve results and prevent anyone from gaming the system.

Facebook’s News feed measures the strength of your relationship with people and groups based on your activity, then uses these and some other factors to generate your news feed.

Amazon and Netflix use recommendation algorithms that look at user data, figure out things that each user might want, and show the user those things.

UPS’s ORION system is a huge (1000+ pages!) algorithm, but it can calculate the most efficient route for any delivery while also taking into account all kinds of real-time data and operational parameters, like requested delivery windows.

Artificial intelligence applications like self-driving cars, facial recognition, natural language processing, predictive analytics, and many more rely on algorithms that can take in visual, audio, or digital data, figure out what’s going on, and return appropriate results.

Everything is an algorithm

Once you know what an algorithm looks like, you can’t stop noticing them. They’re not only in our technology, as, after all, they’re in our brains. Everything we do is a result of receiving inputs, processing them, and producing outputs. Most of these processes are stored inside a constantly rearranging black box, but they’re there, behind the scenes, helping us walk around, understand language, and make decisions about things. Humans are equipped to understand algorithms at an instinctual level, so even if computer algorithms are written in indecipherable mathematics and code, they can all be translated into terms we understand.

Image credit: Mandelbrot set image, Websites interlinking to illustrate PageRank, CTP TheoryOfComputation Linear Search, Shell sorting algorithm color bars

Andrew Braun

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What Will Local Seo Look Like In 2023?

Local SEO will increase in importance over the next few years, making it tougher for local businesses to make it to the top of search results

The importance of local search will continue to grow with 46% of searches on Google already having local intent. Moreover, almost every local search converts into a sales either online and offline. This means, more and more businesses will try to make it to the top of the local search results, making local SEO tougher than before. Here are some things to consider:

By 2023, around 50% of searches will be voice-based so there will be less typing involved. This will give rise to a higher number of long tail keywords and hyperlocal searches.

Reviews will play an important role in businesses having more positive reviews ranking higher on the local search results.

User engagement will be the key. Google will give higher importance to businesses that receive the maximum engagement.

Now, let’s discuss the things that will remain same and what are the new changes that are set to impact the local search landscape in 2023 and ahead.

Integrated marketing 2023 guide

Take a complete look at what integrated marketing will look like in 2023. Our free guide provides your company with 10 steps it should take to get itself ready for the future.

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Basic factors like the ‘RDP’ will remain the same

RDP stands for Relevance, Distance and Prominence. The basic RDP factors will remain the same and it will affect your overall business presence in the local search results.

Relevance means how well your business listing matches with the user’s intent. For example, if you are searching for a ‘Sushi restaurant’ then Google will return a list that only includes local restaurants that serve ‘Sushi’.

Distance measures how far the searcher is from the business when the search is made. Businesses nearest to the searcher will be ranked higher. For example, if you are in Dothan searching for ‘a shoe store near me’ and Google detects your location to be near the Wiregrass Commons Mall then shoe stores in or nearest to the Wiregrass Commons Mall will be ranked higher.

Prominence measures the popularity of the business both in the offline and online world. For example, if you are searching for Pizza then companies like ‘Dominos’ or ‘Pizza Hut’ will have an upper hand in the listings as compared to any other mom and pop Pizza shop.

Top factors that will make the biggest difference

Let’s discuss the top factors that will make the biggest difference for local SEO in the years to come:

1. Businesses With Exceptional Product/Service Will Have The Best Chances of Ranking Higher in Local Search 2. “Entity authority” will become a key factor

The authority of the entity (or business) will play a major role in Google’s local algorithm. An interesting article published on Tidings reveals that Google might determine the authority of the local entity based on the following factors:

Entity popularity

How popular is the entity? Are people discussing it on forums, in communities or articles? If people mention your site, your business name, your business’s geo-location but don’t link to it, it might get counted as an entity mention and help you get higher rankings in Google search. Bill Slawski mentioned this in his article. This means that brand mentions will become a key factor.

One of the best ways to generate a lot of brand mentions is to produce content that is locally relevant to your target audience. For example, the below graphic created by chúng tôi for the brand Trippy generated a lot of local business mentions and valuable backlinks. It featured 196 of the oldest bars in America. Publishers were able to find the bars of their area and share it with their readers. This was an amazing way of generating locally relevant brand mentions and backlinks.

Entity engagement

What is the reaction of the people for the entity? Do people love it or hate it? You need to make sure that your business receives the best engagement everywhere. Again, based on the Tidings article linked above, the following graph can be seen as the future of ranking factor where “engagement” is seen to be receiving a major share when it comes to local SEO.

3. New “engagement metrics” will come into play

Local search engagement metrics like how many people have saved the business as a contact in their Android phone or how many people ask for the location of the business using local maps will come into play.

Google is already controlling all the sources it needs to judge the popularity and reputation of a business so that it ranks the best at the top of the local search results. Google Chrome, Android, Google Maps, Gmail, Google Assistant etc. are all such services that are busy tracking user data. The user engagement metrics tracked by services like these will play a deciding role in the local rankings.

4. Voice SEO will play a dominant role

As per a survey performed by BrightLocal, around 56% of users have searched for a local business using a Smartphone in the last 12 months.

Moreover, the same survey revealed that restaurants, grocery stores and food delivery are the top three local businesses that people search for using voice.

This shows that voice has already started to rule the local search and businesses who are late in optimizing their presence for voice search will soon struggle to rank highly. Here are the steps you need to take to optimize your business for voice SEO:

Accurate business listing

Have a complete and accurate listing of your business on Google My Business. You must accurately mention your business name, complete address, business timings, price of the products, add proper images and videos, invite customers to add reviews and provide users with all the information they might look for when searching for your business on Google. Remember, Google displays an option to sort the local listings based on review, price and hours.

People may use a voice command like “find the best bakery store near me” and Google might take into account factors like reviews, mentions, entity authority and timing before suggesting the most relevant result.

Ranking for long tail (question-based) keywords

Research long tail keywords that users might ask to find your business on Google. Remember, most of the question-based keywords starts with what, how, when, where, which etc. Use tools like Answer The Public to identify potential question-based queries and create unique landing pages that answer the exact questions asked by the user. You can also take the help of Quora, Google related searches or scan your own analytics data to find even more questions that are already asked by your customers.

Getting your business listed under the knowledge panel

Google will prefer to list businesses that have a Knowledge Panel like the one given below. You need to add proper local structured data to your website in order to allow Google to correctly fetch all the details related to your business.

Optimizing for “near me” searches

Stats reveal that “near me” searches have increased over time. Hence, you need to list as many locations as needed in your Google My Business account. This will help Google to properly identify the business locations your company serves and return them as a search result when any potential searcher is searching for your business service in those particular locations.

Conclusion

Local SEO is certainly going to get tougher in 2023. More and more new businesses will try to compete with older ones making it difficult for marketers to gain the top spot in organic listings. Keeping the discussed factors in mind can certainly help to gain an upper hand.

Why Some Cats Look Like They Are Wearing Tuxedos

From Sylvester in Looney Tunes to Mr. Mistoffelees in the 1980s musical, some of the most famous (albeit fictional) cats share a distinctively sharp appearance thanks to their black and white tuxedo-style coats. Cats with skin and fur marked by white patches in this way are known as bicolor or piebald. Piebaldism is also common in a range of domestic and farm animals including dogs, cows and pigs, deer, horses, and appears more rarely in humans. It is caused by a mutation in a gene called KIT.

Our team of researchers from the universities of Bath, Edinburgh and Oxford have been working to unlock the mystery of how these animals get their distinctive patterns. We have discovered that the way these striking pigment patterns form is far more random than originally thought. Our findings have implications for the study of a wide range of serious embryonic disorders in humans, including diseases affecting hearing, vision, digestion, and the heart.

Stunning patterns

Piebaldism usually manifests as white areas of fur, hair or skin due to the absence of pigment-producing cells in those regions. These areas usually arise on the front of an animal, commonly on the belly and the forehead. Piebald patterns are among the most striking animal coat patterns in nature.

Although the effects of piebaldism are relatively mild, it is one of a range of more serious defects called neurocristopathies. These result from defects in the development of tissues and can manifest as heart problems, deafness, digestive problems and even cancer. The diseases are all linked by their reliance on a family of embryonic cells called neural crest cells. By understanding piebaldism better, we can improve our understanding of these related and more serious diseases.

Chimaeric stripes

Animals acquire piebald pigmentation patterns on their skin when they are still developing embryos. Piebaldism arises when the precursors of pigment-producing cells spread incorrectly through the embryo. In normal development, pigment cells start near the back of the embryo and spread through its developing skin to the belly. As the cells spread they also multiply, creating more cells, some of which are left behind to ensure all the skin is pigmented.

With piebaldism, however, the darkly coloured pigment cells don’t make it as far as the belly in time to pigment the hair and skin. This results in distinctive white patches of fur and skin, usually around the belly of the animal, the furthest point from where they started. It has long been thought that pigment cells migrate directly from the back to the front and that the lack of pigmentation at the front is due to pigment cells not moving fast enough.

However, our findings, published in Nature Communications, paint a different picture. We found that, if anything, cells in piebald animals migrate faster than in normal animals, but that they don’t divide as often. This means that there simply aren’t enough cells to pigment all the areas of the developing embryo.

Cells starting near the back of the embryo migrate around to the front. Richard Mort

Chimaeric animals develop from a fusion of two early-stage embryos. If the original embryos would have been differently coloured (for example, black and white), the chimaeric animal often has striped or patchy coat patterns, a mix of the two colours. Previously, the predominant theory was that each stripe was created by a small number of initiator cells that spread from back to front.

Our study used a combination of biological experimentation and complex mathematical modelling to demonstrate that pigment cells migrate randomly. Rather than moving in a specific direction like the sprinters in a 100-metre race, the cells move with little or no persistence, like drunks staggering out of the local bar at closing time. The striped patterns seen in some chimaeric mice may simply be the result of several groups of cells of the same colour coming together by chance.

Using our mathematical model, we can explore and evaluate a huge range of possible alternative biological hypotheses for pattern formation. This gives us a deeper understanding that would be impossible with experiments alone. It also means we could reduce the number of animals used in experiments in this important research area.

Excitingly, there is now the potential to use the same mathematical model to investigate other cell types during early development. This creates a new opportunity to learn more about medical conditions linked to early cell positioning, including those that give rise to certain types of cancers of the nervous system and other debilitating diseases such as Waardenburg syndrome, Hirschsprung disease and Ondine’s curse, a respiratory disorder that is fatal if left untreated.

This article was originally published on The Conversation. Read the original article.

Formatting Containers Using Format() In Python

When using Python, container style can be a useful means of enhancing the readability and maintainability of code. You can style lists, tuples, dictionaries, sets, and even classes quickly and simply using this method. You can adjust how your data is presented by aligning columns, adding padding, and setting accuracy by using the built-in format() method. In this article, we’ll take a deep dive into container formatting using format() in Python, including various types of containers and how to use them with the format() function.

Container Formatting with format()

Assuming we have a list of numbers that we want to organize by separating each number with a comma and a space.

Example

my_list = [1, 2, 3, 4, 5] formatted_list = ', '.join(['{}'.format(x) for x in my_list]) print(formatted_list) Output 1, 2, 3, 4, 5

The collection of formatted numbers with a comma and space separator is joined using the join() method in this case. Each integer value in the enumeration will substitute the ” placeholder inside the format() method.

Although immutable, tuples are comparable to lists in that their contents cannot be altered once they have been formed. In this case, we joined the formatted tuple components with a comma and space using the join() method once more

Example my_tuple = ('apple', 'banana', 'orange') formatted_tuple = ', '.join(['{}'.format(x) for x in my_tuple]) print(formatted_tuple) Output apple, banana, orange

By combining dictionary values and the format() method, dictionaries can be formatted.

Example my_dict = {'name': 'ABCJohn', 'age': 33, 'city': 'Los Angeles'} formatted_dict = 'Name: {name}, Age: {age}, City: {city}'.format(**my_dict) print(formatted_dict) Output Name: ABCJohn, Age: 33, City: Los Angeles

In this case, we used format() method placeholders that matched the values in our dictionary. The dictionary is unpacked using the **my dict syntax, and its contents are then passed as keyword parameters to the format() method. Similarly, sets can be written inside of a set comprehension by using the join() and format() functions.

Example my_set = {1, 2, 3, 4, 5} formatted_set = ', '.join(['{}'.format(x) for x in my_set]) print(formatted_set) Output 1, 2, 3, 4, 5

Same can be done for Classes

Example class Person: def __init__(self, name, age): chúng tôi = name chúng tôi = age my_person = Person('John', 30) formatted_person = 'Name: {p.name}, Age: {p.age}'.format(p=my_person) print(formatted_person) Output Name: John, Age: 30

Passing an instance of our class as a keyword argument to the format() function is a viable solution

Customization Options

In addition to formatting containers, the format() function also provides options to customize how the data is displayed. Some common options include padding, alignment, and precision.

my_list = ['apple', 'banana', 'orange']

We can format this list so that each string is right-aligned in a field of width 10 using the following code −

Example my_list = ['apple', 'banana', 'orange'] for fruit in my_list: Output apple banana orange

The < option and the ^ option can be used to centre and left-align the lines within the box, respectively. The precision selection, which enables us to choose how many numbers are presented after the decimal point, is another helpful choice. Consider a collection of floating-point values as an illustration −

my_floats = [1.23456, 2.34567, 3.45678]

We can format these numbers to display only two digits after the decimal point using the following code −

Example my_floats = [1.23456, 2.34567, 3.45678] for num in my_floats: print('{:.2f}'.format(num)) Output 1.23 2.35 3.46

Additionally, we can use f-strings and other text editing methods in conjunction with format(). This enables us to design output lines that are more intricate and flexible. Let’s look at a full code block that exemplifies container formatting in Python now that we know how to style containers with format().

Example

my_dict = {'apple': 1.23, 'banana': 2.34, 'orange': 3.45} for key, value in my_dict.items(): print('{:<10}{:.2f}'.format(key, value)) Output apple 1.23 banana 2.34 orange 3.45

By using this code block, a dictionary is created that links the titles of three fruits to their corresponding values. The for loop loops through the dictionary’s entries iteratively, formatting each key-value combination so that the value is shown with two digits after the decimal point and the key is left-aligned in a field with a width of 10. Container editing with format() has many applications in real-world settings. For instance, we might employ it to style tables or diagrams during data analysis. It may be used in web programming to present material in a user-friendly manner. We might use it in automation to produce records or files.

Conclusion

In summation, container formatting with Python’s format() function is a strong instrument that enables us to present data in a flexible and comprehensible manner. We can produce content that is specific to our requirements by using the format() function with a range of container kinds and formatting choices. I trust that this piece has helped you comprehend container formatting in Python, and I invite you to learn more about it on your own.

What Will Web Development Look Like In The Age Of Ai & No

In the ever-evolving landscape of web development, new trends and technologies continually emerge to shape the way we create digital experiences. The age of AI and No-Code platforms promises to revolutionize both the process and possibilities in this space.

The Rise of Artificial Intelligence: How Machine Learning and Automation are Changing the Game for Developers

Artificial intelligence (AI) has been making significant strides across various industries, including web development. As a result, developers must consider how AI technologies will reshape their profession.

Automated testing tools:

Reducing manual effort through intelligent systems that can identify bugs quickly and more accurately than traditional methods.

Web content generation:

Leveraging

natural language processing

techniques to create high-quality written content or chatbot dialogue for better online experiences.

Image recognition algorithms:

Enhancing user interfaces by automating reaction to visual input such as gestures or images via machine learning models.

These developments indicate that embracing AI technology in web development is not only inevitable but will also unlock new levels of efficiency and creativity while streamlining workflows. For developers, staying ahead of this game-changing trend requires adaptability and constant skill refinement in response to ongoing progressions in AI applications.

UIkits and Development Kits: Facilitating the Evolution of Programming and Web Development Practices

Time-saving solutions:

Accelerating project completion by offering pre-built elements that can be tailored to suit varying requirements. For example, devs can

use Sendbird UIKit to build a React chat app

with ease.

Consistent design language:

Maintaining visual standards throughout projects by adhering to an established set of designs provided in templates or component collections.

Enhanced collaboration among teams:

Encouraging smooth cooperation between developers, designers, and other stakeholders thanks to standardized resources supplied within UIkits and dev kits.

No-Code Platforms Revolutionizing Web Design: Shifting Skill Sets Among Developers to Remain Relevant

The proliferation of no-code platforms has introduced a new paradigm in web development, empowering non-technical users to create websites and applications with little-to-no coding knowledge. This revolution raises questions about how developers can adapt their skills and remain relevant.

Key considerations for developers amid the rise of no-code solutions:

Strengthening soft skills:

Focusing on communication, critical thinking, or problem-solving abilities

that complement technical prowess

and differentiate oneself as an invaluable team member.

Specialization in complex projects:

Dedicating efforts towards mastering specialized technologies or languages required for more intricate tasks beyond simple site building.

Integrating with no-code tools:

Gaining familiarity with popular no-code platforms to assist clients who seek enhanced functionality from their existing setups by creating custom integrations or extensions.

Adapting and refining skill sets based on current industry trends, like the emergence of no-code platforms, is vital not just for individual career growth but also addressing evolving technological needs in a rapidly changing world.

Will Skilled Coders Become Obsolete? Debating the Implications for Traditional Coding Jobs in a No-Code Era

As no-code platforms gain popularity, concerns regarding traditional coding jobs becoming obsolete seem justified. Nevertheless, skilled coders have little reason to panic as developers with in-depth expertise will remain crucial for building complex digital solutions and handling custom software requirements.

While it’s true that simplified projects may gravitate towards no-code tools, the sheer range of intricate tasks, from game development to AI integrations, means developers boasting multifaceted technical skills will still be sought-after. As discussed, continual skill refinement remains key to thriving within this swiftly evolving landscape.

Balancing Creativity with Efficiency: Embracing New Technologies Without Losing Human Touch

By utilizing automation to handle repetitive tasks, professionals can focus on innovating user experiences or solving complex challenges that require human intuition.

Emphasizing this harmony ultimately pushes the boundaries of web development, fueling unique creations fueled by both technological ingenuity and imaginative thinking.

The Last Word

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