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10 Reasons To Learn Swift Programming Language

Swift programming language is very powerful and intuitive. It incorporates the best of C and Objective-C for iOS, OS X, tvOS, and watchOS. It proves to be effective as it can eliminate the constraints of C compatibility.

Swift has the potential to become the de-facto programming language for creating immersive, responsive, consumer-facing applications for years to come. Comments can include Markdown syntax to add rich text and embedded images that display in Xcode’s Quick Help. A new assistant shows your Swift API in a “header-like” view. And new syntax features combined with improvements to the Cocoa frameworks and Objective-C will make your code more expressive, and even safer.

Swift programming language has not only received widespread acceptance but has also become one of the software developers’ favorite tools. So, here we’ll discuss 10 reasons to learn swift programming language.

  1. Swift is easier to read.
  2. It is also easy to maintain because programmers need not put effort into bookkeeping..
  3. The Swift run-time crash will stop on the line of code where a nil optional variable has been used, preventing errors in codes. Thus, swift is a safe programming language.
  4. The huge memory leaks that a programmer can have in Objective-C are impossible in Swift. We can say — it unifies with efficient memory management.
  5. It has a concise code structure.
  6. Swift is an extremely fast programming language.
  7. With Swift, namespaces are based on the target that a code file belongs to. This means programmers can differentiate classes or values using the namespace identifier. 
  8. It supports dynamic libraries.
  9. With playgrounds, it encourages interactive codings.
  10. Swift provides the development community a direct way to influence a language to create intuitive apps.

Let’s look at the benefits of learning swift in detail.

1. Swift is Easier to Read

Objective-C suffers all warts you’d expect from a language built on C. To differentiate keywords and types from C types, Objective-C introduced new keywords using the @ symbol. Because Swift isn’t built on C, it can unify all the keywords and remove the numerous @ symbols in front of every Objective-C type or object-related keyword. Swift drops legacy conventions. Thus, you no longer need semicolons to end lines or parenthesis to surround conditional expressions inside if/else statements. Another large change is that method calls do not nest inside each other resulting in bracket hell — bye-bye, [[[ ]]]

You’ll be amazed to know that currently there are nearly 2.1 million swift developers, surpassing the number of Objective-C developers (1.6 million). Also, according to the Stack OverFlow survey 2019, swift is also one of the programming languages associated with highest salaries worldwide. Perhaps, this gives many developers a reason to learn swift! ;)

Method and function call in Swift use the industry-standard comma-separated list of parameters within parentheses. The result is a cleaner, more expressive language with a simplified syntax and grammar. Swift code more closely resembles natural English, in addition to other modern popular programming languages. This readability makes it easier for existing programmers from JavaScript, Java, Python, C#, and C++ to adopt Swift into their toolchain — unlike the ugly duckling that was Objective-C. Thus, to learn swift isn’t like getting into a completely new programming language at all.

2. It is Easier To Maintain

Swift drops the two-file requirement. Xcode and the LLVM compiler can figure out dependencies and perform incremental builds automatically in Swift 1.2. As a result, the repetitive task of separating the table of contents (header file) from the body (implementation file) is a thing of the past. Swift combines the Objective-C header (.h) and implementation files (.m) into a single code file (.swift).Xcode and the LLVM compiler can do work behind the scenes to reduce the workload on the programmer. With Swift, programmers do less bookkeeping and can spend more time creating app logic. Swift cuts out boilerplate work and improves the quality of code, comments, and features that are supported.

Benefits of Swift Programming Language

3. Swift Programming Language is Safe

Optional types make the possibility of a nil optional value very clear in Swift code, which means it can generate a compiler error as you write bad code. This creates a short feedback loop and allows programmers to code with intention. Problems can be fixed as code is written, which greatly reduces the amount of time and money that you will spend on fixing bugs related to pointer logic from Objective-C. Unlike in Objective-C, in Swift, the optional types and value types make it explicitly clear in the method definition if the value exists or if it has the potential to be optional (that is, the value may exist or it may be nil).

To provide predictable behavior Swift triggers a run-time crash if a nil optional variable is used. This crash provides consistent behavior, which eases the bug-fixing process because it forces the programmer to fix the issue right away. The Swift run-time crash will stop on the line of code whenever it finds a nil optional variable. This prevents the bugs in the swift code.

4. It is Unified with Memory Management

Swift unifies the language in a way that Objective-C never has. The support for Automatic Reference Counting (ARC) is complete across the procedural and object-oriented code paths. The huge memory leaks that a programmer can have in Objective-C are impossible in Swift. A programmer should not have to think about memory for every digital object he or she creates. Because ARC handles all memory management at compile-time, the brainpower that would have gone towards memory management can instead be focused on core app logic and new features. Because ARC in Swift works across both procedural and object-oriented code, it requires no more mental context switches for programmers, even as they write code that touches lower-level APIs — a problem with the current version of Objective-C.

Automatic and high-performance memory management is a problem that has been solved by Swift and it has proven it can increase productivity. The other side effect is that both Objective-C and Swift do not suffer from a Garbage Collector running cleaning up for unused memory, like Java, Go, or C#. This is an important factor for any programming language that will be used for responsive graphics and user input, especially on a tactile device like the iPhone, Apple Watch, or iPad (where lag is frustrating and makes users perceive an app is broken).

5. Concise Code Structure

Swift reduces writing the amount of code for repetitive statements and string manipulation. Swift adopts modern programming language features like adding two strings together with a “+” operator, which is missing in Objective-C. Support for combining characters and strings like this is fundamental for any programming language that displays text to a user on a screen. The type system in Swift reduces the complexity of code statements — as the compiler can figure out types. 

Swift supports string interpolation, which eliminates the need to memorize tokens and allows programmers to insert variables directly inline to a user-facing string, such as a label or button title. The type inferencing system and string interpolation mitigate a common source of crashes that are common in Objective-C. Swift relieves you from bookkeeping work, translating into less code to write (code that is now less error-prone) because of its inline support for manipulating text strings and data.

6. Swift is Really Fast

Swift code performance continues to point to Apple’s dedication to improving the speed at which Swift can run app logic. The enhancements also enabled Swift to outperform C++ for the Mandelbrot algorithm by a factor of a mere 1.03.

With an optimized compiler for performance and the language for development, it generates faster code across the board, both for release and debug builds. The Swift compiler is also faster, even while adding new Fix-it suggestions such as where you can use let instead of var.

7. There’s Fewer Name Collision With Open Source Projects

One issue that has plagued Objective-C code is its lack of formal support for namespaces, which was C++’s solution to code file-name collisions. Swift provides implicit namespaces that allow the same code file to exist across multiple projects without causing a build failure and requiring names like NSString (Next Step — Steve Jobs’ company after being fired from Apple) or CGPoint (Core Graphics). Ultimately, this feature in Swift keeps programmers more productive. They don’t have to involve in bookkeeping that exists in Objective-C. 

You can see Swift’s influence with simple names like Array, Dictionary, and String instead of NSArray, NSDictionary, and NSString, which were born out of the lack of namespaces in Objective-C. With Swift, namespaces are based on the target that a code file belongs to. This means programmers can differentiate classes or values using the namespace identifier. This change in Swift is huge. It greatly facilitates incorporating open source projects, frameworks, and libraries into your code. The namespaces enable different software companies to create the same code filenames without worrying about collisions when integrating open source projects. Now both Facebook and Apple can use an object code file called FlyingCar.swift without any errors or build failures.

8. Swift Supports Dynamic Libraries

The biggest change in Swift is the switch from static libraries, which are updated at major point releases (iOS 8, iOS 7, and so on), to dynamic libraries. Dynamic libraries are executable chunks of code that can be linked to an app. This feature allows current Swift apps to link against newer versions of the Swift language as it evolves. 

The developer submits the app along with the libraries, both of which are digitally signed with the development certificate to ensure integrity (hello, NSA). This means Swift can evolve faster than iOS, which is a requirement for a modern programming language. Changes to the libraries are included with the latest update of an app on the App Store, and everything simply works. It reduces the initial size of an app by linking the external codes on use-basis.

Dynamic libraries in Swift make it possible for programming language changes and improvements to propagate faster than ever before. Users no longer need to wait for iOS point releases to benefit from any performance or reliability improvements Apple introduces into Swift.

9. Swift Playgrounds Encourages Interactive Coding

Swift’s newly introduced Playgrounds are a boon to experienced developers. Playgrounds enable programmers to test out a new algorithm or graphics routine, say 5 to 20 lines of code, without having to create an entire iPhone app. 

Apple has added inline code execution to Playgrounds. It helps programmers create a chunk of code or write an algorithm while getting feedback along the way. This feedback loop improves the speed of writing codes by replacing the traditional programming with data visualizations in Playgrounds. Programming is an iterative process. Any effort to reduce strain and complement the creative process can make programmers more productive. It can also free their time to solve bigger problems rather than focusing on boring details that traditional compilers impose on programmers.

10. Swift Is A Future You Can Influence

Objective-C isn’t going anywhere, but it won’t see as many major changes, thanks to the introduction of Swift. Some Swift features will likely migrate over to Objective-C, but Objective-C’s legacy in C means it can absorb only so much. Swift provides the development community a direct way to influence a language to create apps, embedded systems (if Apple ever licenses an embedded framework and chip for third parties), and devices like the Apple Watch.

Wrapping up with the best of Swift Programming Language

Writing Swift code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift possesses safer patterns for programming and it adds modern features to make programming easier, more flexible, and more fun.

Apple is focused on providing the best consumer experience and is building only those features deemed worthy of attention. The team supporting the development and evolution of Swift is keen on improving the language to better support the development community that builds apps and systems using Swift. If you’re thinking of learning Swift, this is the right time to get started.

If you’ve queries around different programming languages, we’ve covered some. Take a look.

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What’s Next in Cloud Optimization? Can We Optimize Costs Without Sacrificing Performance?

Not too long ago, storing data meant dedicating an entire room to massive CPUs. Then came the era of personal computers, followed by external hard drives and USB sticks. Now, storage has become practically invisible, floating somewhere between data centers and, well, the clouds—probably the ones in the sky. Cloud computing continues to evolve, As cloud computing evolves, optimizing costs without sacrificing performance has become a real concern.  How can organizations truly future-proof their cloud strategy while reducing costs? Let’s explore new-age cloud optimization strategies in 2025 designed for maximum performance and cost efficiency.

Smarter Cloud Strategies: Cutting Costs While Boosting Performance

1. AI-Driven Cost Prediction and Auto-Optimization

When AI is doing everything else, why not let it take charge of cloud cost optimization too? Predictive analytics powered by AI can analyze usage trends and automatically scale resources before traffic spikes, preventing unnecessary over-provisioning. Cloud optimization tools like AWS Compute Optimizer and Google’s Active Assist are early versions of this trend.

  • How it Works: AI tools analyze real-time workload data and predict future cloud resource needs, automating provisioning and scaling decisions to minimize waste while maintaining performance.
  • Use case: Netflix optimizes cloud costs by using AI-driven auto-scaling to dynamically allocate resources based on streaming demand, reducing unnecessary expenditure while ensuring a smooth user experience.

2. Serverless and Function-as-a-Service (FaaS) Evolution

That seamless experience where everything just works the moment you need it—serverless computing is making cloud management feel exactly like that. Serverless computing eliminates idle resources, cutting down costs while boosting cloud performance. You only pay for the execution time of functions, making it a cost-effective cloud optimization technique.

  • How it works: Serverless computing platforms like AWS Lambda, Google Cloud Functions, and Azure Functions execute event-driven workloads, ensuring efficient cloud resource utilization while eliminating the need for constant infrastructure management.
  • Use case: Coca-Cola leveraged AWS Lambda for its vending machines, reducing backend infrastructure costs and improving operational efficiency by scaling automatically with demand. 

3. Decentralized Cloud Computing: Edge Computing for Cost Reduction

Why send all your data to the cloud when it can be processed right where it’s generated? Edge computing reduces data transfer costs and latency by handling workloads closer to the source. By distributing computing power across multiple edge nodes, companies can avoid expensive, centralized cloud processing and minimize data egress fees.

  • How it works: Companies deploy micro data centers and AI-powered edge devices to analyze data closer to the source, reducing dependency on cloud bandwidth and lowering operational costs.
  • Use case: Retail giant Walmart leverages edge computing to process in-store data locally, reducing latency in inventory management and enhancing customer experience while cutting cloud expenses.

4. Cloud Optimization with FinOps Culture

FinOps (Cloud Financial Operations) is a cloud cost management practice that enables organizations to optimize cloud costs while maintaining operational efficiency. By fostering collaboration between finance, operations, and engineering teams, FinOps ensures cloud investments align with business goals, improving ROI and reducing unnecessary expenses.

  • How it works: Companies implement FinOps platforms like Apptio Cloudability and CloudHealth to gain real-time insights, automate cost optimization, and enforce financial accountability across cloud operations.
  • Use case: Early adopters of FinOps were Adobe, which leveraged it to analyze cloud spending patterns and dynamically allocate resources, leading to significant cost savings while maintaining application performance. 

5. Storage Tiering with Intelligent Data Lifecycle Management

Not all data needs a VIP seat in high-performance storage. Intelligent data lifecycle management ensures frequently accessed data stays hot, while infrequently used data moves to cost-effective storage. Cloud-adjacent storage, where data is stored closer to compute resources but outside the primary cloud, is gaining traction as a cost-efficient alternative. By reducing egress fees and optimizing storage tiers, businesses can significantly cut expenses while maintaining performance.

  • How it’s being done: Companies use intelligent storage optimization tools like AWS S3 Intelligent-Tiering, Google Cloud Storage’s Autoclass, and cloud-adjacent storage solutions from providers like Equinix and Wasabi to reduce storage and data transfer costs.
  • Use case: Dropbox optimizes cloud storage costs by using multi-tiered storage systems, moving less-accessed files to cost-efficient storage while keeping frequently accessed data on high-speed servers. 

6. Quantum Cloud Computing: The Future-Proof Cost Gamechanger

Quantum computing sounds like sci-fi, but cloud providers like AWS Braket and Google Quantum AI are already offering early-stage access. While still evolving, quantum cloud computing has the potential to process vast datasets at lightning speed, dramatically cutting costs for complex computations. By solving problems that traditional computers take days or weeks to process, quantum computing reduces the need for excessive computing resources, slashing operational costs.

  • How it works: Cloud providers integrate quantum computing services with existing cloud infrastructure, allowing businesses to test and run quantum algorithms for complex problem-solving without massive upfront investments.
  • Use case: Daimler AG leverages quantum computing to optimize battery materials research, reducing R&D costs and accelerating EV development.

7. Sustainable Cloud Optimization: Green Computing Meets Cost Efficiency

Running workloads when renewable energy is at its peak isn’t just good for the planet—it’s good for your budget too. Sustainable cloud computing aligns operations with renewable energy cycles, reducing reliance on non-renewable sources and lowering overall operational costs.

  • How it works: Companies use carbon-aware cloud scheduling tools like Microsoft’s Emissions Impact Dashboard to track energy consumption and optimize workload placement based on sustainability goals.
  • Use case: Google Cloud shifts workloads to data centers powered by renewable energy during peak production hours, reducing carbon footprint and lowering energy expenses. 

The Next Frontier: Where Cloud Optimization is Headed

Cloud optimization in 2025 isn’t just about playing by the old rules. It’s about reimagining the game entirely. With AI-driven automation, serverless computing, edge computing, FinOps, quantum advancements, and sustainable cloud practices, businesses can achieve cost savings and high cloud performance like never before.

Organizations that embrace these innovations will not only optimize their cloud spend but also gain a competitive edge through improved efficiency, agility, and sustainability. The future of cloud computing in 2025 isn’t just about cost-cutting—it’s about making smarter, more strategic cloud investments.

At Mantra Labs, we specialize in AI-driven cloud solutions, helping businesses optimize cloud costs, improve performance, and stay ahead in an ever-evolving digital landscape. Let’s build a smarter, more cost-efficient cloud strategy together. Get in touch with us today!

Are you ready to make your cloud strategy smarter, cost-efficient, and future-ready with AI-driven, serverless, and sustainable innovations?

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