There are several steps to choosing a programming language for your app. Of course, a programming language can impact the main constraints for any project. This includes project timeline, budget, and resources. In addition, it can also greatly impact application maintainability and scalability requirements. As an app developer getting started, you need to know the right steps to choose a programming language for your app. This way, you can keep up with industry standards and properly support your project. In this post, I’ll explain on to learn about how to choose a programming language for your app.
Table of Contents
Consider Application Type
First, you should consider your application type to choose the right programming language for your app. For example, you might want to deploy your mobile app on Android devices. In this case, you can use a programming language like Java or Kotlin. Besides, you can use a language like Swift to build iOS apps. Of course, you should also think about different app categories. Indeed, C# and C++ are great programming languages to consider for 3D game development. For data science and machine learning, you might use Python, R, or Julia. After all, the Python language is more popular than ever. Of course, you can also use C, Go, or Rust for distributed system projects. Definitely, consider the application type to choose the right programming language for your app.
Know Your Development Tools
Next, you need to know your development tools to choose a programming language for your project. Indeed, different tools are often designed for specific languages. For example, you can install a JFrog Cargo Registry for the Rust programming language. With this tool, you can take full control of your deployment and dependency resolution process of Rust crates through the Cargo package manager. In addition, you can build your Rust crates into containers stored in your private Docker registries. With REST APIs and a smart CLI, you can fully automate your CI/CD pipeline. Plus, you can store your build information with your containers for optimal traceability to Cargo metadata. With such specified features, know your development tools to choose a programming language for your project.
Identify Most Popular Coding Languages
In addition, you should identify the most popular coding languages to keep up with the latest industry standards. For example, many developers in information technology, engineering, and design use Python. With its high flexibility, you can also use this for scientific and numeric computing as well. Notably, many other programmers use Java to code websites, games, and interactive apps. If you’re looking to develop for Windows and Linux systems, you can also use C++ for its robust portability. In addition, objective-C is another common coding language for iOS and OS X. By identifying these most popular languages, you can choose one with strong documentation. If you’re looking to start a career in coding, this is a great way to prepare for the work field as well.
Assess Application Complexity
Moreover, you should also assess your application’s complexity as you select your coding language. For example, you can create some small projects such as simple web app forms with CMS systems. Typically, these require knowledge in PHP or C#. In addition, you can also create medium-sized projects such as internal enterprise apps and IoT solutions with more general languages such as Java or C#. Indeed, these can simplify the skill set requirements to maintain the products. Simultaneously, you can use these to simplify integrations and break complex applications into smaller components. Then, each element can serve its own unique function.
Account For Efficiency Needs
Furthermore, account for efficiency needs as you choose your programming language. Indeed, different coding languages can offer different execution speeds. For example, C/C++ takes about 4.5 seconds to execute the program. On the other hand, Go takes about 10 seconds to execute. Notably, Rust performs close to C/C++ at about 5 seconds. Generally speaking, interpreted languages are slower since they compile on the fly inside an interpreter. Typically, the more time you spend compiling a program, the faster it will run. Since execution speeds add up over the course of a project, try to choose a fast language when possible. Absolutely, accounting for efficiency needs to choose a programming language to successfully use in your IoT business.
There are several steps to choosing a programming language for your app. First, consider your application type before you choose your language. Next, know your development tools to determine which languages are compatible. In addition, identify the most popular coding languages to keep up with industry standards. Furthermore, account for efficiency needs and language execution times. Consider these points to learn about how to choose a programming language for your app.