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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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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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