Trending March 2024 # Blender 3D Lighting And Rendering Basics # Suggested April 2024 # Top 9 Popular

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In previous articles we have told you how to make basic objects and texture them. Now we take on the final third of the journey and tell you how to light them.

In this article we will teach you to light your scene using virtual lights inside Blender 3D and render your scene as a still.

If you don’t have Blender, then go to chúng tôi and download it so you can follow along.

Make a Scene

Before you start, choose “Cycles Render” from the drop-down at the top of the screen. This is a much higher quality rendering engine which we’ll be talking about in a subsequent article when we talk about rendering.

Give it a colour, say a blueish hue:

Red = 0.036 Green = 0.036

Resize the plane by selecting the edges in turn and stretching them out using the arrows to make your stretching snap to a particular axis. There’s no need to add subdivision surfaces because it’s a flat plane.

Reposition the ground from a side view so it is just touching the bottom of the sphere.

Rotate the plane 90 degrees so it is upright by pressing R and using the mouse, keeping an eye on the degrees you are turning it at the bottom left of the screen.

Position the new plane on the back or side of the ground plane (depending on which way you rotated it). Make another duplicate as before and rotate that 90 degrees so you can make another wall. You have made the corner of a room.

Note: the reason for all this wall building is that light in Blender needs something to bounce from in order to create a well-lit scene. If you have no walls, then the scene is lit as if it’s in space.

Do a Quick Render

Set the image size in the Render panel

and set the Sampling to Final on the drop-down.

When you are ready press F12 to render a picture on screen. To save the image, press F3 and select a filename and location for the image.

Beautiful, yes? When you’re done, save your Blender file for future use.


Once again it’s not a lighting rig worthy of an Academy Award, but it’s the basics. The most basic kind of lighting setup in Blender is the kind of flat plane emission surface we’ve made here, as this gives even lightbox-like light radiation a lovely even light, akin to daylight.

Phil South

Phil South has been writing about tech subjects for over 30 years. Starting out with Your Sinclair magazine in the 80s, and then MacUser and Computer Shopper. He's designed user interfaces for groundbreaking music software, been the technical editor on film making and visual effects books for Elsevier, and helped create the MTE YouTube Channel. He lives and works in South Wales, UK.

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What Is Technical Seo? Basics And 10 Best Practices

Have you ever pondered the factors that cause certain websites to rank better than others in search results? Optimizing for Search Engines is the Key (SEO). SEO, or search engine optimization, is a method used to improve a website’s visibility in search engines. Technical search engine optimization, or SEO, is a subset of SEO that analyzes and improves the website’s performance in search engine results. The fundamentals of technical SEO will be covered, along with 10 best practices and basics for improving your site’s performance.

What is Technical SEO?

Doing technical SEO entails fine-tuning the nuts and bolts of a website to boost its visibility in search results. Unlike more traditional forms of search engine optimization, technical SEO concerns hidden factors from site users. When a website’s structure and content are optimized for search engines’ consumption, the site’s search engine rankings improve.

Basics of Technical SEO Site Architecture and Navigation

Important factors in technical SEO include a site’s structure and user experience. Search engines can better interpret a website’s content if its structure is intuitive and well-defined. The success of a website depends on its users’ ability to quickly and easily locate the specific content they want. Internal links may also enhance site architecture, which brings related pages closer together.

Site Speed and Page Load Times Mobile Responsiveness and Mobile Optimization

Mobile optimization is vital for search engine optimization, and user experience as mobile device usage continues to rise. Mobile-friendly websites tend to perform better in search engine rankings and offer a better user experience for mobile visitors. Mobile optimization may be boosted by using a responsive design and fine-tuning the mobile experience.

URL Structure and Site Hierarchy

One way to boost a website’s visibility in search engine results is to have a well-organized naming scheme for its URLs. A well-designed site structure facilitates a search engine’s ability to interpret a website’s information. Site visitors will easily get around if the URL structure and site hierarchy are intuitive and well-organized.

Meta Tags and Descriptions Schema Markup and Structured Data Best Practices for Technical SEO Use a responsive design

Users and search engines alike would appreciate a mobile-friendly, responsive website. With responsive design, your website will automatically change its layout to fit whichever device is used to access it. This facilitates both user navigation and search engine crawling and indexing.

Optimize your site speed

Website rankings are heavily influenced by how quickly users can access your site. Visitors will get frustrated and leave the page if your website takes too long to load. Image compression, a content delivery network (CDN), and limiting the number of HTTP requests are all ways to speed up a website.

Use descriptive and optimized URLs

Website visibility and usability are improved when informative URLs include content-related keywords. Increased traffic and backlinks might result from the optimized URLs’ greater memorability and viability for social media sharing.

Implement structured data Optimize your website’s navigation

The usability of a website is directly proportional to the ease with which its visitors can locate and use its many features and resources. Your website’s navigation will benefit from a simple menu, breadcrumbs, and a limited number of subcategories.

Optimize your website’s images

Your website’s user experience might benefit from including high-quality images, but the same images can be a performance bottleneck if they need to be optimized. You may improve your image’s performance using compression, alt text, and informative file names.


HTTPS, the encrypted variant of HTTP, is increasingly relevant to search engine results. Users and search engines alike have higher faith in websites that employ HTTPS.

Fix broken links

Having broken links on your website may negatively affect the user experience and search engine rankings. You may either use a broken link checker tool or manually examine each link on your website to find and repair any that aren’t working properly.

Use analytics to monitor your website’s performance

You can track your website’s success and pinpoint problem areas using analytics. Analytic tools allow you to monitor site traffic, locate pages with high bounce rates, and evaluate the success of your SEO initiatives.

Use social media to promote your content

The use of social media is a great way to spread your message and attract new visitors to your website. It’s important to utilize trending hashtags, provide visuals like photographs and videos, and interact with your audience while promoting material on social media.


Technical search engine optimization is crucial to enhancing your website’s user experience. Search engine optimization (SEO) and user experience (UX) improvement may be achieved by adhering to these 10 guidelines. Use a mobile-friendly layout, speed up your site without sacrificing quality, create structured data, improve your site’s navigation and images, switch to HTTPS, mend any broken links you find, track your site’s performance with analytics, and promote your work on social media. Following these guidelines can help make your site more accessible, user-friendly, and search engine-friendly.

Technical SEO is a continuous process that has to be constantly checked and updated. You can keep your website competitive and user-friendly by using the most up-to-date best practices and algorithms.

3 Ppc Basics You Must Master & 3 Ways To Go Beyond The Basics

I’m somewhat hesitant to tackle the subject of PPC basics for new AdWords users.

To do PPC well, you really have to step beyond the basics. But as soon as you do, things can get complicated really fast.

As a compromise, I’m going to discuss both in this article — the basics and what lies beyond.

PPC Basics #1: Keyword Strategy

You could fill volumes with everything that’s been written about keyword strategy. Yet, I still come across paid search accounts that have (literally!) hundreds of keywords in them.

You don’t need to have hundreds of variations on your main keywords. Instead, you want to hone in on the ones that matter.

Think about what your target audience really wants to know and what they might search for — and let that guide your initial keyword selection.

At the same time, keep things tight. It’s better to err on the side of defining your keywords too narrowly rather than too broadly.

If you start too narrow, you can always broaden out to get some traction. But if you start too broadly, you risk bleeding dollars with little return before you even get started.

Once your campaign goes live, negate keywords like crazy. Depending on the volume, this could mean negating daily, hourly or even every few minutes initially.

PPC Basics #2: Conversions

I’m still surprised to find an absence of conversion tracking in some of the accounts we audit. But at the same time, I’m not that surprised.

Conversion tracking can get really technical. So I can see how paid search novices might prefer to ignore it.

But conversions are a necessary part of PPC. You need to know if your paid search methods are working. Otherwise, what’s the point?

PPC Basics #3: The Trifecta of Keywords, Ad Copy & Landing Pages

Speaking of landing pages, a well-run PPC account will have keywords, ad copy, and landing pages that work together in concert.

Then, you need ad copy that accurately and compellingly describes this program (and only this program).

Next, you need a landing page that is singularly focused on this program.

Everything has to be relevant, and everything has to work together. When they do, you’ll see the results.

Beyond the PPC Basics

Once you’ve mastered these PPC basics, you might feel like you’re done. But you aren’t. Because honestly, no PPC campaign will reach its full potential by sticking with the basics.

Here are some additional elements you need to add to the mix.

1. Ad Extensions

As of this writing, AdWords has nine available ad extensions. You can see most of them here:

(Promotion extensions aren’t included in this screenshot. As of this writing, you can only access them from the labs tabs in the old user interface.)

Not every ad extension will be relevant to your business, but some are relevant to most accounts. These include:



Structured snippets.

Call extensions.

If you’re in retail, you can also include promotion and price extensions, and possibly location and affiliate location extensions.

What’s the best way to handle all these extensions? You have to start by looking at the big picture.

Rather than just choosing one or two and ignoring the rest, create a messaging roadmap that includes all relevant extensions as well as the ad message itself. This way, you can see what your message will look like if all elements impression.

This approach helps you avoid too much repetition in your messaging. It’s OK to drive home certain points, but you don’t want “Free Shipping” to show up in four places at the same time.

2. Google Display Network (GDN)

People who are new to paid search tend to neglect the GDN (which includes remarketing) because they think it’s too hard. And they’re right, it is hard!

How can you get the most from the GDN? My main tips are:

Layer Your GDN Targeting Options

You may have heard horror stories about the GDN or remarketing spiraling out of control. And that can certainly happen if you don’t put controls in place.

But fortunately, putting those controls in place isn’t hard. The easiest way to do it is to severely limit your location target area. You can run a GDN campaign that targets only your immediate geographic area and still get all the brand building benefits.

Of course, you don’t have to limit by geography. There are many other targeting options you can choose — so many, in fact, it can get a bit confusing.

That’s why layering your targeting options is the best approach. From the AdWords help file:

In other words, each time you add a new layer, the more targeted the potential reach of your ad.

Create All Available Sizes for Display Ads

My clients often ask me whether it’s really necessary.

It is.

Consider what would happen if Google has the absolutely perfect place to put your ad… but can’t because you haven’t uploaded the necessary size. A major missed opportunity.

Don’t Forget About Responsive Ads

3. Understand Your Settings

All campaigns have many settings you’ll need to get familiar with. You can see some of them here:

Others you’ll find separately in the new user interface:

As you work with these settings, you’ll find that AdWords will often recommend which ones to choose. But here’s the catch: those recommendations might work great for Google, but not so great for your objectives.

How will you know which settings to choose? Start by reading the AdWords help files, of course.

But then expand your research to other sources, such as Search Engine Journal. What have other PPC pros learned about AdWords settings?

However, you most reliable method of learning what works, and what doesn’t, will be to experiment and testing within your own account.

Not Much Is Basic About PPC

So don’t stop once you’ve mastered the basics. The further you go with your PPC learning, the more opportunities you’ll uncover and the more pitfalls you’ll avoid. Which will result in greater success.

More Paid Search Resources:

Quick Notes On The Basics Of Python And The Numpy Library

This article was published as a part of the Data Science Blogathon.     

      “Champions are brilliant at the basics”

Quick Basics of python 1. What is an interpreter? 2. Difference between the virtual environment and the existing interpreter?

Ans: The difference is that if you use a virtual environment for your project and add/remove packages then it will only affect the virtual environment. If you use an existing interpreter then all changes will affect the system-wide interpreter and these changes will be available in all the projects that use that interpreter.

3. What is a pip?

Ans: Pip is a standard package management system used to install and manage the software packages written in python.

4. What are the various commands of pip?

Ans: Below are the various commands of pip to be run in the command prompt/terminal

5. What are variables?

Ans:  Variables are used to store information to be referenced and manipulated in a program. In python, we don’t need to explicitly mention the datatype during declaration. A string variable cannot be manipulated by mathematical actions.

6. What are the basic operations in python?

Ans: We have ‘+’ (addition) ;  ‘-‘ (subtraction) ; ‘*’ (multiplication);  ‘/’ (division); ‘%’ (modulus meaning the remainder of division) ; ‘**’ (power meaning ab i.e. a to the power of b);  ‘//’ (floor division meaning this will give the quotient of division without the decimal).

7. What are string indexing and slicing?

Ans: Index is the position of each character starting from 0. Slicing is getting the substring i.e. subset out of a string value or a word or sentence.

You slice your butter so that the chunks can be used for various purposes !! Right !! SAME IS APPLICABLE HERE AS WELL !! 

Suppose we have a string variable having ‘stay positive’ stored in it. The below picture shows the indexing of the elements in the string. 

Below is a code snippet having examples of indexing and slicing.

8. What is mutable and immutable property?

Ans: Mutability means you can change the values of an object after it is created, and the Immutable property of an object means it cannot be changed after it is created.

9. What are the different data structures of python?

Ans: Below are different types of data structures :

9.1) Lists : These are the data types that hold elements of different/same datatype together in a collection in sequential manner. These are enclosed in square brackets [ ]. Lists are mutable and indexable in nature, and also allow duplicates. There are many list methods like list.append(), list.pop(), list.reverse(),list.sort(),list.count(),list.insert(),list.remove() etc.  for performing various list operations; few of which is showed in the below code snippet.

NOTE:  Accessing and indexing elements in the list are the same as the Q7(indexing and slicing) topic explained above.

9.2) Tuples: These are similar to lists with two major differences i.e. (that is) Firstly they are enclosed within round brackets() and second they are immutable in nature.  There are two inbuilt methods that can be used on tuples index() and count(). Code snippet for same is mentioned below:

NOTE: Accessing and indexing elements in the tuples are the same as the Q7(indexing and slicing) explained above.

9.4) Dictionaries: Dictionaries in python is a data structure that stores the values against its keys. Basically key-value pair. It is enclosed within curly braces having key:value pair i.e. {key1:val1}

In the above example, ‘mydict’ is a dictionary that stores the number of students present in each class. So classA is key and 30 is its value. 

Dictionaries do not allow duplicate keys and are mutable in nature. Below is the code snippet having dictionary examples:

There are few more functions like get(keyname) that will return the value of that key, update(),popitem(), etc. . We can also have nested dictionaries,                                                            lists value for the key i.e. key1 : [1,2,3].

What is the use of dictionaries  ???

Well, there might be scenarios wherein you will have to count the number of occurrences of an item in a list, then you can easily compute this using dictionary. Another example is using a dictionary like a lookup file wherein you might have a set of static key-value pairs to refer to. Also, dictionaries are used in backend code while building APIs. Hence with dictionaries in place, many operations like I mentioned above become easier to deal with.

10. What are the various common libraries used in Data Science?

Ans: Common libraries are :

11. Why is Numpy required when we have python Lists? Since both do the same work of storing data in array form?

Ans: Absolutely, but Numpy is better since it takes less memory as compared to lists. Also, a Numpy array is faster than a list.

Now the question is HOW ??? Please follow the below code snippet showing the answer for the question of HOW  IT TAKES LESS MEMORY AND IS FASTER THAN LISTS??   

In the above code, we have compared the memory used by the list and the memory used by the Numpy array. The size of a single integer element in the list takes 28 bytes whereas a Numpy array takes only 4 bytes. This is because lists are python object which requires memory for pointers as well as value, but Numpy array does not have pointers that will point to the value. Hence IT TAKES LESS MEMORY.



In the above code, we have computed the time taken by the addition of two lists each having 1 million records that took142.3 seconds whereas when we performed the same operation with the same number of records with two arrays, the computation took 0.0 seconds !!!!! WOW!!!!

HENCE PROVED! Numpy array is much faster than a list.

In real-time, we have a huge amount of data that needs to process and analyzed so as to get useful and strategic information out of the data. Hence Numpy arrays are better than a list.

12. Can we create and access the n-D(n-dimension) array using the Numpy library?

Ans: Definitely, this is one more key feature of the Numpy array. We can create an n-dimensional array using the array() method of Numpy by passing a list, tuple, or an array-like object.

In order to know the number of dimensions an array has, we have the “ndim” attribute of Numpy arrays.

We can also explicitly define the dimension for an array by using “ndmin” argument of the Numpy array() method.

There is a “dtype” property that will return the data type of array. Also, we can also define the data type of array by passing an argument of dtype to the array method

Below is the code snippet for the same

13. How to index, access, and  perform slicing on an n-D Numpy Array

These are the positions assigned internally in the n-D array. Keeping this in mind, an n-D array can be accessed, manipulated, etc.

Please follow the below code snippets to understand how to access and slice the n-dimensional arrays.

The above picture represents how the indexes are represented in an n-dimensional array. Using the indexes, we can access array elements and perform slicing.

SLICING:  The concept of slicing remains the same as mentioned in the above queries. The syntax for slicing is arrayName[startIndex:stopIndex:step(optional)]

Be it 1-D,2-D, or n-D, array slicing works the same.

The array examples used in the below code snippet are the same as in above eg i.e. oneD_array, TwoD_array, ThreeD_array. Please refer to the array declarations in the above code snippet.

14. What are various methods and attributes in Numpy?

Ans: Numpy has various attributes and methods that can tell you the size, shape of the array(rows X columns), change the shape(reshape), size of each element, datatypes, and many more. Few are listed in below code snippet:

We also have copy and view methods that duplicate an existing array. But these two methods do have a very major difference internally. Please find the below code snippet wherein the difference is shown in a practical way:

Numpy also has many more methods and attributes like :

and MANY MORE. You can go through all of them on the Numpy website. The ones that I have listed are the common ones that are frequently used.


Very easy addition, subtraction, multiplication, division can be done between two arrays. Below is the code snippet for adding and subtracting. Others can also be done in the same manner viz (a*b),(a/b)

15. Numpy array has an AMAZING PROPERTY !!  What is that ??

Ans: Let us assume we have a 2-D array wherein I want to check if that every array element is greater than value 10. If yes, then replace them with True otherwise False. So in return, I will get TRUE FALSE MATRIX. Below is the code snippet:

Now, if I want the values of array ‘arr’ which is greater than 10 ??  This can be achieved in just a line as shown in the below code snippet:

Now we can also replace these with specific flag values like -1 or 0 or anything.

The code snippet is as follows:

So all those elements greater than 10 is replaced by -1



I am sure, you, as a beginner must have found this article to be useful. All the necessary basics have been covered and I have tried to cover the concepts in detail with the practicals where most people find difficulty in understanding. Thank you for your time.

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The Importance Of Dynamic Rendering With Geoff Atkinson

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For episode 189 of The Search Engine Journal Show, I had the opportunity to interview Geoff Atkinson, Founder and CEO, Huckabuy.

Atkinson talks about dynamic rendering, how it helps search engines index JavaScript websites faster, and who can benefit from this solution.

What is dynamic rendering?

Geoff Atkinson (GA): Dynamic rendering is probably the biggest change Google’s made in maybe 10 years.

For them to actually offer, “we’ll crawl something that’s different than what the user experience is now, content and data all need to match up,” that’s big change for them.

For years they were like, “you have to have the user experience be the same thing.”

Brent Csutoras (BC): For context, anything that was different previously was considered cloaking. Right?

GA: Correct. So dynamic rendering, it’s actually a pretty straightforward concept. It started with the difference between a mobile device and a desktop.

All it means is that our URL will render differently or dynamically based on what calls it.

So if you call a webpage from your mobile device, you’re going to get one experience.

If you call one from your desktop, you’re going to get a slightly different one.

Their big change was they said, well, now you can actually give a version for us.

And really, the reason for that is around the amount of JavaScript and front end dynamic technologies that have made it difficult for them to crawl and understand a site.

They basically said, “Here’s a way for us to keep it simple. Give us a simplified version and we’ll be able to crawl and index that much more efficiently than what the user’s experiencing.”

What would be an example of what dynamic rendering would actually do?

GA: I’d say the most famous JavaScript thing that really makes Google get caught up while crawling is actually chat boxes, personalization, tracking tags that are dynamic.

As soon as they hit JavaScript, they simply can’t crawl it with their HTML crawler. And so it goes to a rendering queue and a rendering queue takes quite a bit more processing time.

And a rendering queue is literally the same technology as your Chrome browser.

It’s just executing a page fully, allowing them to come in and actually crawl that dynamic content and it takes more processing time, so if you can strip that stuff out in a dynamically rendered version.

What are the other things that dynamic rendering will do for somebody’s website that they might not get otherwise?

GA: [Y]ou could have all the content resources in the world, but if Google can’t see that actual content, what good is it doing? So we see that a lot.

I think companies have bigger indexation issues than they have any idea because it’s kind of hard. You see the crawl stats, right? And you’re like, “Oh, they’re crawling me, I’m good.”

And you see that they’re downloading information but you don’t really know exactly what they’re downloading and how much of it, are they actually accessing the stuff that you’re working on.

All those problems just get eliminated. You get almost instantaneous, all the content is being indexed and content affects rankings and rankings affect traffic.

You get a huge, pretty significant benefit if the site is pretty heavy and JavaScripts are difficult to crawl.

All of a sudden they’re going to become privy to all this new information in a very short amount of time and that’s actually going to impact rankings and traffic and all those other good things.

Why do you think the SEO community as a whole is kind of not really embraced this or that it’s not on every site?

GA: Yeah, I find that shocking. But if we just sort of take a step back and we look at marketing departments and their general skillset, like even SEO groups sometimes aren’t the most technical.

So if you think of a marketing organization, their skill set is really not technical SEO, that’s the last thing that they’re going to get to, right?

They don’t have developers working on SEO, very rarely.

And it’s a very technical problem, so you can throw tons of resources that content and link building and all those sort of more straight forward tasks and not even fully understand or fully recognize the technical problems that you have because you just don’t have that skillset on the team.

And we see that almost happen everywhere. Like even if they’re working with an agency or whoever, that technical skill set is so rare…

Within our little community it’s big, right?

But for when you step into a big internal marketing team, there’s just no one there that speaks that language.

So, I think that’s the reason is that it’s such a different hat to wear as a marketer getting into technical SEO versus managing your PPC spend or your content team or branding and messaging or social.

It’s just a totally different skillset and it’s usually missing, so I think that’s kind of why it hasn’t been adopted as quickly as we would like.

On technical SEO initiatives: how could SEOs connect and convince the developers?

GA: I think about almost every organization, think about just the SEOs you talked to and whether they feel empowered or it’s a bottleneck getting through development and it’s almost always a bottleneck…

It is like an organizational mindset that you have to get in.

Do you feel like everybody needs to have dynamic rendering?

GA: I’d say probably 60% of sites out there need it, which is a lot.

And then there’s 40% where it’s like, it’d be a nice-to-have, but it’s not going to blow your socks off.

Like you’re getting enough, it’s a really small site, maybe there’s only a hundred pages index so Google can get through it. The site doesn’t change that much.

There’s just not as much upside as some of these larger sites that are more complicated that Google is really struggling to understand them.

So there are a good number of sites that don’t necessarily need it.

Everybody could benefit, but what we find is about 60% of the internet, like really could use this solution.

Think about the number of JavaScript things that are included by business owners on their websites without thinking at all about what this does for Google crawling.

And then, of course, they’re going to be like, “Yeah, we want personalization and we want chat boxes,” and so they just throw it on there.

Meanwhile, it makes Google’s job like impossible…

What does it look like to implement dynamic rendering?

GA: So the first piece, how to do it on your own.

The crux of dynamic rendering is really the conversion of your dynamic content into flat HTML. The technical challenge is to be able to do that.

If you have content being generated through JavaScript that is important for your rankings and you want Google to be aware of it, being able to convert that into flat HTML and leveraging some sort of CDN (like Cloudflare, CloudFront or Akamai) to be able to basically load that information up really quickly and eliminate literally all the JavaScript on the page, that’s how you kind of have to go.

It’s doable for sure. We actually see some companies doing it in house, it’s kind of hard to do in house, but we see it happening.

The second piece is automation.

We’ve built that converter… we don’t actually have to have any developer look at your site. They don’t have to log in and do a bunch of work.

You literally make a DNS change and then Huckabuy takes over the bot traffic and we create this dynamic rendered version through SEO Cloud that’s flat HTML.

We have a partnership with CloudFlare that allows us to keep all this information at edge. You kind of hear that term now being used at edge SEO.

So at edge basically means it’s pre-cached and located all around the world in 200 different locations so that no matter where a bot is coming in from, they get this really lightweight and cached page…

This podcast is brought to you by Ahrefs and Opteo.

To listen to this Search Engine Show Podcast with Geoff Atkinson:

Listen to the full episode at the top of this post

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Visit our podcast archive to listen to other Search Engine Journal Show podcasts!

Image Credits

Featured Image: Paulo Bobita

Icon And Big Reimagine Nomadic Campground El Cosmico With 3D


ICON, a large-scale 3D printing company has announced a collaboration with Hospitality Expert Liz Lambert and renowned architecture firm BIG Bjarke Ingels Group) on a project to relocate and expand the infamous nomadic campground hotel El Cosmico in Marfa, Texas, US.

The team plans to relocate and widen the area’s vistas to span a sweeping 60 acres, and it will remain a stage for innovative architecture, creative community, and experiencing nature on its own terms. The project area, Marfa is located in the high plains desert, at an altitude of approximately 1.5 kilometers (4800 feet).

The adobe-like color and texture of the horizontally layered wall appear like geological strata in an exposed cliff. Inspired by the Uruguayan engineer and architect Eladio Dieste, the sinuous curves at the foot of the pavilion provide both structural stability and social niches for the audience and performers.



“Our collaboration with El Cosmico and ICON has allowed us to pursue the formal and material possibilities of cutting-edge 3D printed construction untethered by the traditional limitations of a conventional site or client. Liz Lambert’s legacy for reimagining hospitality and her pioneering of a contemporary Texan aesthetic combined with the Minimalistic nature and culture, art, and landscape of Marfa has been the perfect fit to pursue a new architectural vernacular language for El Cosmico in Marfa. Organic shapes, Euclidian circular geometries, and a color palette born from the local terroir make El Cosmico feel as if literally erected from the site it stands on.” said Bjarke Ingels, Founder & Creative Director, BIG.


“In collaborating with the revolutionary thinkers at BIG and ICON, not only do I get to fulfill this dream, but we get to do it using this incredible 3D-printing technology that marries the oldest principles of raw earth-based building with a futuristic technology that works more quickly, sustainably and efficiently than modern construction,” Lambert said. “What’s more, the innovation and beauty of the types of structures we can build extends far beyond the box. It’s fitting that ICON has a contract with NASA to build the first dwellings on the moon and on Mars. I’m excited that we get to explore their incredible work right here in our own little cosmic landscape under the stars in far West Texas.”

According to the architects, the architecture of the reimagined El Cosmico hotel and apartments is likewise influenced by the connection between the high desert scenery and cosmic organizations. The architectural language employs soft curves and curved surfaces made feasible by ICON’s technology to create naturally shaped structures and domes. The initiative seeks to provide a natural continuation of the institution’s purpose of investigating the relationship between art, nature, and hospitality. The project will also provide 3D-printed affordable housing in Marfa to meet the town’s expanding needs.

“The truly unique and divergent architectures made possible by 3D printing are really just beginning. One of the great joys of ICON is putting our technology into the hands of great creatives and seeing what possibilities emerge,” said Jason Ballard, co-founder, and CEO of ICON.

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