Objective C is a multi-paradigm language


Python is a programming language that is primarily characterized by its simplicity. Python started as a project and is still being developed today by the globally active community. The programming language can be used in a wide variety of ways and is used frequently, especially in the field of artificial intelligence.

One of the advantages is that Python supports both object and aspect-oriented as well as functional programming and is available for all common operating systems.

Python as a dynamic script programming language

At the beginning of the 1990s, the Dutchman Guido van Rossum developed the dynamic script programming language Python. As an original hobby project, Python served as an interpreter for an uncomplicated script language for Unix / C hackers.

For the naming, however, the developer did not set out on an expedition into the animal kingdom - rather the name Python arose from a cheerful mood and a sudden association with Monty Python's Flying Circus.

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Today, the original hobby project for Unix / C hackers is an internationally established programming language that is constantly being further developed as an open source project by numerous globally active programmers. The following principles are in the foreground:

  • Python is said to be just as powerful as other established programming languages.
  • With Python, daily programming tasks should be carried out.
  • Python is intended to remain an open source language in the long term.

However, Python not only fulfills the stated goals, it also supports fundamental programming styles, including Object Oriented Programming (OOP), Aspect Oriented Programming (AOP) and functional programming. The easy to learn and comfortable programming language is freely available through the Python Software Foundation.

Simple structure helps with programming

Programmers who work with Python benefit from the simplicity and cleanliness as well as a very clear structure. All of these advantages are combined with good scalability and the ability to program even complex software projects with Python.

Thanks to the minimalist syntax, you can implement a wide variety of applications with agile lines of code. The low susceptibility to programming errors is also one of the central features of Python. Many programmers appreciate the few keywords and the structuring element "indentation", which ensures simple and clear codes.

Automatic memory management and individually adapted programming styles

The programming language Python gives programmers a high degree of individual freedom. Because not only does not use keywords or brackets to mark the various blocks by indenting the individual program lines, there is also automatic memory management.

Compared to other programming languages, there is no explicit definition and assignment of variables and arrays - a procedure that significantly reduces memory leak errors.

Dynamic typing

Python has dynamic typing. This means that it is not necessary to define the types of the function arguments and variables used. The small number of syntactic constructions also has advantages. Two loop forms with “for” and “while” are enough for programmers to achieve the desired goals. The "for" loop is used to iterate over the elements of a sequence.

With "while" you repeat a loop as long as a logical expression can be recognized as true - whereby these two loops can contain an Else branch. However, this branch is only executed after the loop has been run through completely without interruption using "break". You create branches using if, elif and else.

Multi-paradigm language

How powerful Python is is shown by its property as a multi-paradigm language. A functionality that allows programmers to use an individually adapted programming style. So it is possible to program different tasks in different styles. In addition, you can embed individual Python programs as modules in another language if required.

You don't need a special development environment

You are free to choose the development environment for the applications, as there are no special requirements. This is mainly due to the unnecessary compilation of the Python code, which means that you can use any text editor for scripts.

Many developers use editors such as Vim or Emacs for Python - both can be adapted to Python with little effort. But IDLE, which is often installed together with Python, is also frequently used. Although IDLE is not a full-fledged development environment, it has a shell, a text environment and various debugging functions.

If you value full-fledged development environments - Integrated Development Environment (IDE) - Eric Python IDE and PyCharm are ideal. Do you prefer to work with large IDEs such as Eclipse, Visual Studio or NetBeans? Plug-ins for Python are available for this case.

Easy creation of graphical user interfaces

Various toolkits are available for Python for the uncomplicated creation of a graphical user interface (GUI). One of them is Tkinter as a Python interface to Tk. For the creation of a comfortable GUI, Tkinter offers numerous widgets from button to entry to progress bar. Various windows and three geometry managers complete the extensive range with which you can create a user-friendly user interface for all applications that you program with Python.

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Comprehensive standard library as a great strength

One of its greatest strengths is Python's extensive standard library. You make this programming language suitable for numerous applications. Since the majority of the standard library is platform-independent, larger Python programs are increasingly running without changes on different operating systems such as Linux, Unix, Windows or macOS.

One focus of the Python standard library is on Internet applications. This results in the support of various standard formats and standard protocols such as MIME or HTTP. However, the standard library also contains several modules for developing graphical user interfaces that you can use to connect to relational databases or manipulate regular expressions.

How you can benefit from Python

There are many advantages to programming applications with Python. The programming language is freely accessible and has a simple and clear syntax, which makes it easy to learn. A clear structure and the small number of keywords also help. Due to its simplicity, Python is also very scalable and applicable in many areas.

The programming style can be individually adapted to your needs and is useful for both simple and complex problems. In addition, Python has a large standard library and reduces the risk of errors. There are also advantages to the code itself. This is because it is very easy to read and maintain, as only a few lines of code are required.

Other Phyton benefits are as follows:

  • Variable declarations are not required
  • supports various programming paradigms
  • Add-on packages ensure optimal expansion
  • As a platform-independent programming language, you can use it on all common operating systems
  • Open source project that is constantly being developed - large community worldwide that is working on further development

Python: where is it actually used?

Python is available for all common operating systems and is even part of the standard equipment of many Linux distributions. The use on different mobile operating systems extends the application range of the programming language considerably. The Web Server Gateway Interface (WSGI) serves as a universal interface between Python and the server.

Python is particularly widespread in the scientific environment. This is mainly due to the easy learnability of the language and the associated easy entry into this programming language. As a result, the path from initially simple applications to the point at which you program complex applications with Python is much more straightforward compared to other programming languages.

Use of Python in the field of AI

In science, the main focus is on research and development in the field of artificial intelligence. Here Python scores with a large number of standard libraries provided.

This enables you to create, train and graphically evaluate machine learning models, for example, in just a few lines of code. An example of such standard functions is the TensorFlow framework developed by Google. Using TensorFlow it is possible to create and train deep neural networks.

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Outlook for the future

Until a few months ago, the developer of Python, Guido van Rossum, was on board and looked after the globally active community in the further development of the open source project. Now he has withdrawn and handed over responsibility for the project. Python is one of the most popular programming languages ​​and is currently used as the first teaching language at universities, so you can assume that the project will continue to be successful.

Python was able to establish itself with great success within the segment of programming languages ​​and shows its strengths, for example, in the development of complex frameworks for use in the areas of artificial intelligence and machine learning.

To what extent the future actually lies here remains to be seen. Because Python is also the programming language of first choice for many developers in numerous other applications. This is mainly due to the fact that it brings with it a significantly reduced susceptibility to errors, programming styles that are individually adapted to the requirements of the application, and flexibility in creative application development.