Future with PYTHON

Over the years, Python has managed to sweep into the coding world and has managed to reach the top. It is one of the multi-paradigm and high-level languages that is used by programmers due to its conventional features. Python has managed to dominate other programming languages such as Java, C, C++, etc. In addition to this, its object-oriented feature has made it even more accurate to deal with.

With time, programmers started to bend towards it on a huge level and are now dependent on its dynamic features. In addition to this, it has become a conventional language that has made it easy to work on several different aspects. If anything programmers are now opting for Python for application development, game development, web development, numeric and scientific computing, system administration, GIS and mapping, and so on.

In over 25 years, Python has managed to reach a level that is high above others making it the fastest-growing language. Not only this, but it also has a promising future along with the addition of other technology. There is no doubt that it has become quite a favorite in the software industry.

Fun Fact: Why is this proggramming language named as python?

When Guido van Rossum began implementing Python, he was also reading the published scripts from “Monty Python’s Flying Circus”, a BBC comedy series from the 1970s. Guido Van Rossum thought he needed a name that was short, unique, and slightly mysterious, so he decided to call the language Python.

Reasons for Python’s popularity

1. Open Source

Python is an open-source programming language that was made to be easy to read and powerful.

2. Supportive and Rich community

Python is a popular programming language that is reliable, flexible, easy to learn, free to use on all operating systems, and supported by both a strong developer community and many free libraries.

3. Cross-platform language

The businesses are working on python skills and the experience of the programmers that allows them to achieve a lot more. There is a better career opportunity when it comes to python as well as salary scope. A few of them are as follow:

• Data Scientist
• DevOps Engineer
• Python Developer
• Senior Software Engineer
• Software Developer
• Software Engineer

As per the survey and job research, it was calculated that there are over 40,000 jobs that are entirely for python experienced developers in major countries. In addition to this, internet search tags are also higher for python only in the countries that made it the most popular one among developers. It is said that Data science combined with python has the best career and future taking one to new heights.

IT companies are now depending on python for the major work. They are now embracing this programming language with open arms making it one of the best sources to work on. If this is a shocker for anyone that the topmost firm such as the CIA — Central Intelligence Agency also depends on python to update their website.

Uses of python

1. Applications:

Python can be used to develop different applications like web applications, graphic user interface-based applications, software development applications, scientific and numeric applications, network programming, Games and 3D applications, and other business applications. It makes an interactive interface and easy development of applications.

2. Multiple Programming paradigms:

Python is also used because of its providing continuous support to several programming paradigms. As it supports object-oriented programming and structured programming. Python has features, which also support various concepts of functional programming language. It is used for dynamic type systems and automatic memory management. Python language features and programming paradigms allow you for developing small as well as large applications. It can be used for complex software applications.

3. Robust Standard Libraries:

Python has large and robust standard libraries to use for developing applications. It also makes the developers use Python over other languages. The standard library helps in using the different range of modules available for Python. This module helps you in adding the functionality without writing any more code. While developing any web application, implementing web services, performing string operations, and other usages like interface protocol, the standard library documentation helps.

4.Compatible with Major Platforms and Systems:

Python is mainly compatible with major platforms and systems because of which it is used mainly for developing applications. With help of python interpreters, python code can be run on specific platforms and tools as it supports many operating systems. As python is an interpreted high-level programming language, it allows you to run the code on multiple platforms. The new and modified code can be executed without recompiling and its impact can be monitored or checked. It means it’s not required to recompile the code after every change. This feature helps in saving the development time of the developers.

5. Access to Database:

The use of Python also helps in accessing the database easily. Python helps in customizing the interfaces of different databases like MySQL, Oracle, Microsoft SQL Server, PostgreSQL, and other databases. It has an object database like Durus and ZODB. It is used for standard database API and freely available for download.

6. Code Readability:

Python code is easy to read and maintained. It is easily reusable as well wherever it is required. Python has simple syntax, which allows the different concepts to develop without writing any additional code. The code should be of good quality and easy to maintain the source code and simplify the maintenance, which is required to develop the software application. It also emphasizes code readability, which is a great feature, unlike other programming languages. It helps in building custom applications and clean code helps in maintaining and updating the software applications without putting extra effort into the same code.

7. Simplify Complex Software Development:

Applications of Python are used to simplifying the complex software development process as it is a general-purpose programming language. It is used for developing complex applications like scientific and numeric applications, and for both desktop and web applications. Python has features like analyzing data and visualization, which helps in creating custom solutions without putting in extra effort and time. It helps you to visualize and effectively present data.

8. Many Open Source Frameworks and Tools:

Python is open source and easily available. This also helps in costing the software development significantly. There are many open source applications of python frameworks, libraries, and development tools for developing the application without putting extra cost. Python frameworks simplify and make the process faster for web application development and the frameworks are Django, Flask, pyramid, etc. Python GUI frameworks are available for developing the GUI-based application.

9. Adopt Test Driven Development:

Python makes coding easier as well as testing with help of adopting the Test Driven Development approach. The test cases can be easily written before any code development. Whenever the code development started, the written test cases can start testing the code simultaneously and provides the result. These can also be used for checking or testing the pre-requirements based on the source code.

10. Other applications for which python is used:

There are other applications for which python is used that are Robotics, web scraping, scripting, artificial intelligence, data analysis, machine learning, face detection, color detection, 3D CAD applications, console-based applications, audio-based applications, video-based applications, enterprise applications, and applications for Images, etc. These are some major applications used.

Conclusion

we have seen that python is one of the major languages used to develop both desktop and web applications. Python has features that take care of common programming tasks. Python is simple to learn and easy to use. Sometimes, python marks as slower than other widely used programming languages like Java. Python applications can speed up by simply maintaining the code and using custom runtime.

Python does support the modules and packages, which encourages program modularity and code reuse. It provides an increase in productivity, which makes the first choice of developers. It has a great learning curve as it supports functional and procedural programming language. It is open source and can be freely distributed. The programming language is mainly selected based on the requirement and compatibility with platforms and databases.