Pros & Cons of Python in Mobile Application Development

Python is a high level, interpreted and versatile dynamic programming language that emphasizes code readability. The Python syntax helps programmers to code in fewer steps than Java or C++. The language founded in the year 1991 by developer Guido Van Rossum has easy programming and fun to try and do. Python is wide used in large organizations because of its multiple programming paradigms. they typically involve imperative and object-oriented useful programming. it's a full and extensive standard library that has automatic memory management and dynamic features.

Why Businesses Prefer Python?

In recent years, Python has surpassed rankings of other programming languages ​​like C, C ++ and Java and is widely used by Python developers and programmers. The language has undergone a drastic change since its release 25 years ago with the introduction of many additional features. Python 1.0 had the Modula-3 module system and interacted with the Amoeba operating system with various operating tools. Python 2.0 introduced in the year 2000 had features of garbage collector and Unicode support. Python 3.0 introduced in the year 2008 had a constructive design that avoids duplicate modules and constructions. With added features, businesses are now using Python 3.5.

Software development companies prefer the Python language because of its versatile features and fewer programming codes. Nearly 14% of programmers use it on operating systems like UNIX, Linux, Windows and Mac OS. The programmers of large companies use Python because it has created a brand in software development with features like:

Interactive

Interpreter

Modular

Dynamic

Object-oriented

Portable

High level

Extensible in C++ and C

Pros of Python

The Python language has a diversified application in software development companies such as games, web frameworks and applications, language development, prototyping, graphics applications, and so on. Some of its pros are:

Extended Support for Library

It provides large standard libraries that include domains such as chain operations, the Internet, web service tools, operating system interfaces, and protocols. Most of the popular programming tasks are already programmed, which limits the length of the codes to write in Python.

Features for Integration

Python integrates enterprise application integration that facilitates the development of web services by calling COM or COBRA components. It has powerful control capabilities because it calls directly via C, C++ or Java via Jython. Python also processes XML and other markup languages because it can run on all modern operating systems via the same byte code.

Improved Programmer’s Productivity

The language has extensive support libraries and proprietary object-oriented designs that increase the programmer's productivity by two to ten times while using Java, VB, Perl, C, C++ and C# languages.

Productivity

With powerful process integration capabilities, the unit test framework and enhanced control capabilities help speed up the speed of most applications and improve application productivity. This is a great option for building scalable multi-protocol network applications.

Cons of Python

Python has various advantageous features, and programmers prefer this language to other programming languages because it is easy to learn and code too. However, this language has still not found its place in some computer arenas that include Enterprise Development Shops. Therefore, this language may not solve some of the enterprise solutions, and the cons include:

Difficulty in Using Other Languages

Python enthusiasts have become so used to its features and extensive libraries that they have trouble learning or working on other programming languages. Python experts can see the declaration of "values" or "types" of variables, the syntax requirements of adding braces or semicolons as an expensive task.

Weak for Mobile Computing

Python has made its presence on many desktop and server platforms, but is considered a weak language for mobile computing. That's why very few mobile apps are built like Carbonnelle.

Slower in Speed

Python runs with an interpreter instead of the compiler, which slows it down because compiling and running help it run smoothly. On the other hand, we can see that it's also fast for many web applications.

Run-Time Errors

The Python language is dynamically typed, so it has many design restrictions that are reported by some Python mobile developers. It is even seen that this requires more test time, and errors appear when the applications are finally executed.

Database Access Layers are Underdeveloped

Compared to popular technologies like JDBC and ODBC, Python's database access layer is undeveloped and primitive. However, it can not be applied in companies that require fluid interaction of complex legacy data.

Wrapping Up

Python is a robust programming language and allows easy use of lines of code, maintenance can be optimally managed, and debugging can also be done easily. It has gained importance around the world because the Google computer giant has made it one of the official programming languages.

If you need any assistance related to Python web development or cross platform mobile app development, you can contact us. We are a leading Python development company in India & USA engaged in providing feature packed, secure and scalable web and mobile apps across all business verticals.