Python Programming language

Python coding language is considered to be a practical coding language that is easy to understand. It started out as a scripting language which is still its most common application. It is favourable compared to perl with the most notable difference being that python’s syntax is easy to read and also understandable (Van Rossum 2007). The contrasting part with perl is that it is always regarded for its line noise kind of syntax because of the many chosen operators. Just like perl, python is operated as an open source project. It makes use of a combined design method whereby it’s easy for any user to add on a new feature known as Python Enhancement Proposal (Cai, Langtangen, and Moe 2005). Developers or through a decision by Guido therefore make the absolute decision on which of the enhancement proposals are to be incorporated.

Python appeals to the beginners, professionals and also computer scientists. Beginners that’s are about to start learning the programming language are appreciative of the fact that the language is simple interactive and also contains in-built data and syntax models. They are able to get immediate feedback thanks to the command line and can as well get to learn individual commands remotely without having to worry about full-scale programs (Oliphant, 2007). In python language there is no need for the use of classes that may cause problems to the beginners.

For professional programmers, they are now switching their attention to the use of python. The reason being that the existence of code libraries needs for coding on a daily basis. Like perl, the syntax used in python is less cryptic. The language can be easily learned by professional programmers since not much effort will be put into practising.

Computer scientists also like Python programming language. Python as described by Peter Norvig, it is referred to as being practical better libraries type of Scheme or as a better version of perl. Python Language combines functional programming concepts like objects, list commands and high order utilities. This language can be used in the illustration of alternate coding styles with the use of one easy linguistic structure. Python has been utilized as the start up for other coding languages such as stackless.

Debugging of python applications is easy and if a bug is detected then it doesn’t cause a subdivision fault. No compilation step is available therefore the edit-test debug cycle is fast in execution. The language is popular due to the fact that it offers improved output. The debugger is coded is python language indicating the contemplative power the language offers. The fastest mode of debugging a program is addition of some statements to the source whereby the debug-cycle makes it easy to effect.

Comparison to other Languages


Programs coded using python language are mostly expected to run slower as compared Java programs but also take a shorter period to conceptualize. Python programs are about 5 times shorter compared to alike java applications.  The alteration can be credited to the fact that Python contains high level data types that are in built and also for its vigorous capturing. In an example is that there’s no need for the declaration of variables and that its dictionary types are utilized in most python programs. The major variance amongst the two programs i.e.  Python and Java is that python permits any kind of expression to be assessed on the command line (Guzdial and Ericson 2016). Java being a compiled language makes use of the code-compile-run cycle which makes applications slower eventually downgrading the feedback quality.

Example of Python program

>>> print “Hello, world!”

Hello, world!

Pythons input prompt “>>>” and the next line is the output. The program can be coded as a file to run as script.

More emphasis is needed in a java application

Class HelloWorld{

Public static void main (string [] args)


System.out.print(‘Hello, world!”);



Main problem with such a code is that it requires many concepts for the message to display such as classes and void whereby for it to run it must be compiled and then initiated on a java virtual machine.


The subgroup that is object-based is quite similar to java script. Python supports a programming design that makes use of variables without getting involved in class descriptions. Python also assists in the coding of bigger applications and recycling of codes in the use of object-oriented coding technics whereby classes play a critical role





Both python and perl language share a common script and many related characteristics but vary in the ideology. Perl on the hand highlights the assistance of application oriented jobs such as scanning of files and generating reports.

Python stresses in assisting coding procedures like data structure design and object-oriented coding which motivates the computer scientist to come up with a user friendly code through provision of good hidden code. However, python language is easily applicable as compared to perl.


Tcl is usable as an application extension language and more so as a stand-alone coding language. It stores data manually such as strings and effects a certain code a bit slower compared to python. It lacks the required structures used in the coding of large applications. Large programs making use of Tcl mostly contains extensions coded in C or C++ that are precisely for that program whereas the same application can be coded using only python language. Developing an application purely based on python language is faster than having to debug a component of C and  C++ language. Python has incorporated an interface as its regular Graphic user interface library.

Small talk

The major difference between small talk and python language is Python’s direct arrangement which is an added advantage during the training of programmers. Python also incorporates active mode of typing and all that’s included in python is an object. Built in object types are differentiated from user defined classes by python and presently no look-up is permitted.

Data type collection is more developed whereas python’s library contains more conveniences for handling the internet and W3 consortium entities such the email and HTML.Python contains a different ideology in regards to the growth situation and code circulation. As small talk manually contains the solid system image, which consists of the user’s application, Python keeps both standard and user modules in files that can be reorganized or even circulated. However, one major concern is that more than one option for assigning the Graphic user Interface to a python application because it’s not in built.


The features that apply on Java basically to C++ only in the fact that Python code is 10 times shorter compared to a C++ code. It’s said that a programmer using python language may take two months to complete what two programmers using C++ will not be able to finish in one year. Python is therefore used in merging modules coded in C++.

Common Lisp and Scheme

The coding languages are almost similar in terms of their dynamic semantics but alternate when it comes to the composition whereby it’s not easy making a comparison. Python contains contemplative abilities that more or less the same to those of lisp. Python applications can create applications and then effect them at a go.  Common Lisp is huge in all ways while scheme is divided into many mismatched forms. Whereas python contains a solitary open compressed execution.






Van Rossum, G. (2007, June). Python Programming Language. In USENIX annual technical conference (Vol. 41, p. 36).

Cai, X., Langtangen, H. P., & Moe, H. (2005). On the performance of the Python programming language for serial and parallel scientific computations. Scientific Programming13(1), 31-56.

Oliphant, T. E. (2007). Python for scientific computing. Computing in Science & Engineering9(3), 10-20.

Guzdial, M., & Ericson, B. (2016). Introduction to computing and programming in python. Pearson.


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