Python is a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. The syntax in Python helps the programmers do coding in fewer steps than Java or C++. The language founded in 1991 by the developer Guido Van Rossum has the programming easy and fun to do.
Python is widely used in more influential organizations because of its multiple programming paradigms. They usually involve imperative and object-oriented functional programming. It has a comprehensive and extensive standard library that has automatic memory management and dynamic features.
Why Companies Prefer Python?
Python has top the charts in recent years over other programming languages like C, C++, and Java and is widely use by programmers. The language has undergone a drastic change since its release 25 years ago as many add-on features are introducing.
The Python 1.0 had the module system of Modula-3 and interacted with Amoeba Operating System with various functioning tools. Python 2.0, introduced in the year 2000, had features of the garbage collector and Unicode Support. Python 3.0, introduced in the year 2008, had a constructive design that avoids duplicate modules and constructs. With the added features, now the companies are using Python 3.5.
The software development companies prefer the Python language because of its versatile features and fewer programming codes. Nearly 14% of the programmers use it on operating systems like UNIX, Linux, Windows, and Mac OS. The programmers of big companies use Python as it has created a mark for itself in software development with characteristic features like-
- Interactive
- Interpreted
- Modular
- Dynamic
- Object-oriented
- Portable
- High level
- Extensible in C++ & C
Advantages or Benefits of Python
The Python language has diversified applications in the software development companies such as gaming, web frameworks and applications, language development, prototyping, graphic design applications, etc. This also provides the language a higher plethora over other programming languages used in the industry. Some of its advantages are-
1. Extensive Support Libraries
It provides large standard libraries that include string operations, Internet, web service tools, operating system interfaces, and protocols. Most of the highly use programming tasks are already scripting, limiting the length of the codes to write in Python.
2. Integration Feature
Python integrates the Enterprise Application Integration, making it easy to develop Web services by invoking COM or COBRA components. It has powerful control capabilities as it calls directly through C, C++, or Java via Jython. Python also processes XML and other markup languages to run on all modern operating systems through the same byte code.
3. Improved Programmer’s Productivity
The language has extensive support libraries and clean object-oriented designs that increase two to tenfold of programmer’s productivity while using languages like Java, VB, Perl, C, C++, and C#.
4. Productivity
Its robust process integration features, unit testing framework, and enhanced control capabilities contribute to increased speed for most applications and productivity. It is an excellent option for building scalable multi-protocol network applications.
Limitations or Disadvantages of Python
Python has varied advantageous features, and programmers prefer this language to other programming languages because it is easy to learn and code. However, this language has still not made its place in some computing arenas, including Enterprise Development Shops. Therefore, this language may not solve some of the enterprise solutions, and limitations include-
1. Difficulty in Using Other Languages
The Python lovers become so accustomed to its features and extensive libraries, so they face learning or working on other programming languages. Python experts may see the declaring of cast “values” or variable “types,” syntactic requirements of adding curly braces or semicolons as an arduous task.
2. Weak in Mobile Computing
Python has made its presence on many desktop and server platforms, but it is a weak language for mobile computing. This is the reason very few mobile applications are also built in it like Carbonnelle.
3. Gets Slow
This language executes with the help of an interpreter instead of the compiler, which causes it to slow down because compilation and execution help it work typically. On the other hand, it can be seen that it is fast for many web applications too.
4. Run-time Errors
This language is dynamically typed, so it has many design restrictions that are reported by some Python developers. It is even seen that it requires more testing time, and the errors show up when the applications are finally run.
5. Underdeveloped Database Access Layers
As compared to popular technologies like JDBC and ODBC, Python’s database access layer is a bit underdeveloped and primitive. However, it cannot be applied in the enterprises that need smooth interaction of complex legacy data.
Conclusion
Python is a robust programming language and provides a comfortable usage of the code lines, maintenance can be handled in a significant way, and debugging can be done quickly. It has also gained importance across the globe as computer giant Google has made it one of its official programming languages.
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