Programmers use more than 600 languages, but not every one of them is good for creating a mobile program. The chosen language directly affects the speed of development, testing, making changes to the program, and much more. That is why it is important to know how to choose the best codebase for developing Android and iOS mobile applications.
Option №2. Kotlin
It is an innovative and stable language that can be used together with Java to create more efficient and high-performance programs. The list of its advantages includes:
- concise code;
- clean syntax;
- removing all null references.
Kotlin is simple, which makes it a great choice for beginner developers.
Option №3. Python
It is an easy to learn and implement programming language designed for high-level rapid development. It allows developers to manipulate the code and makes it easier to read and transform it. It most functionally expresses multithreading and multiprocessing which improve performance and response to commands.
There are many libraries and sets of tools that support Python, especially for big data and researchers. The cross-platform codebase uses the Kivy framework to develop mobile applications.
Option №4. Swift
Apple chose this language to create functional and scalable applications. It replaced Objective C and became the most preferred language for creating iOS programs. It has a wide range of advantages:
- it can be used to work on a server;
- it has a minimum of potential security risks;
- it offers an expressive optimized syntax;
- it has many features to add a seamless design;
- its excellent and independent IDE called Xcode uses workspaces without any problems when enabling a library.
The open-source, type-safe Swift catches most of the beginner’s errors when compiling. The language is easy to read, understand, and use.
Option №5. Rust
This language is known for its security and variety of memory management capabilities. It is cross-platform, which means it can be used to develop Android, iOS, Linux, Windows, macOS, and Unix programs. It is similar in syntax to C++ but guarantees memory protection through its borrowing analysis for reference checking.
The language has high performance when processing large amounts of data, supports parallel programming, and has an efficient compiler: all these are the reasons why well-known software heavyweights give their preference to Rust.