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PYTHON’S INTERNAL WORKING:- Like Java Python is an object oriented programming language. Python is termed as an interpreted language. Code modules are used in Python that are exchangeable instead of a single long list of instructions that was criterion for functional programming languages. Standard implementation of python is termed as “cpython”. It is the default and extensively used application of the Python.

Python’s code are not converted into machine code, so hardware doesn’t understand. But converted into byte code. In python, compilation takes place, it is not into a machine language but it is into byte code and this byte code can’t be understood by Central Processing Unit. So an interpreter called as the python virtual machine executes the byte codes.

Python interpreter does following tasks to complete a Python program: Firstly : A python instruction or code is read by the interpreter. Then the interpreter authenticates that the instruction is well formatted, means to say that it checks the syntax of each line. If it comes across any error, it instantly halts the conversion and shows an error message.

Secondly : When no error, means to say that if the python code or instruction is well formatted then the interpreter translates it into its equivalent form in intermediate language termed as “Byte code” . Thus, after successful execution of Python code or script, it is completely converted into Byte code.

Thirdly : To the Python Virtual Machine(PVM) the Byte code is sent . On PVM again the byte code is executed. The execution is halted if an error occurs during this execution.

PYTHON USES It is a high-level programming language. Python is interpreted object-oriented language. Guido Van Rossum has designed it. At first it was released in the year 1991. Extensions such as .py, .pyc, .pyd, .pyo. are the filenames. For both small and large applications, the straight and easy programming is enabled. Code reusability, readability and using white space are mainly emphasized.

It has features like high-level built-in data structures, binding and dynamic typing, which enables it to be attractive for rapid application development. It is open source software and easily available to utilize. Python makes simple for debugging and if interpreter shows an error, exclusion will be raised or stack trace will also get printed. Python supports multiple programming paradigms like functional programming, imperative and procedural as well. Expressions which are similar to C language and its methods and typing are used by Python.

USES OF PYTHON Because of Pythons advantages it can be more user-friendly. Uses of python language are as follows for different reasons:

(A) Applications:- Python creates a uncomplicated development and communicating interface of applications. Different applications can be developed by using Python like web applications, graphic user interface based applications, software development application, scientific and numeric applications, network programming, Games and 3D applications and other business applications as well.

(B) Multiple Programming paradigms:- As Python provides continuous support to several programming paradigms so it is used. It supports structured programming and object-oriented programming. Various concepts of functional programming language are supported by the features of Python. For dynamic type system and automatic memory management it is used. We can develop the small as well as large applications by using Python language features and programming paradigms. . Python can be used for complex software applications as well.

(C) Robust Standard Library:- For developing the applications Python can be used as it has large and robust standard library. This also makes the developers use Python instead of other languages. In using the different range of modules available for Python the standard library helps. Without writing any more code this module helps us in adding the functionality. to get the information about various modules documentation on python standard library can be referred. The standard library documentation helps in developing any web application, implementing web services, performing string operations and other usages like interface protocol.

(D) Compatible with Major Platforms and Systems:- For developing applications Python is mainly compatible with major platforms and systems because of which it is used mainly. Python code can be run on specific platforms and tools with help of python interpreters, as it supports many operating systems. The interpreted high-level programming language is a python and it allows us to run the code on multiple platforms. Without recompiling the new and modified code can be executed and its impact can be checked or monitored. Which implies that it’s not required to recompile the code after every change. So the development time is saved for the developers.

(E) Access of Database:- The database can be easily accessed by using Python. It also helps in tailoring the interfaces of different databases like Oracle, MySQL, Microsoft SQL Server, PostgreSQL, and other databases. Durus and ZODB are like an object database which it has. It is freely available for download and It is used for standard database API.

(F) Code Readability:- Code of Python can be maintained and is easy to read. Wherever it is required it is easily reusable as well. To develop different concepts without writing any additional code are allowed by having Python’s simple syntax. To develop the software application it is required that the code should be of good quality and easy to maintain the source code and simplify the maintenance. Unlike other programming languages it also emphasizes code readability, which is the great feature. Without putting extra effort on the same code, it helps in building custom applications and clean code helps in maintaining and updating the software applications.

(G) Complex Software Development Simplified:- Python is a general-purpose programming language and applications of Python are used to simplifying the complex software development process. For developing complex application like scientific and numeric application, and for both desktop and web applications the Python is used. Features like analyzing data and visualization are there in Python, which helps in creating custom solutions without putting extra effort and time. It also helps you to present data and visualize in an effective way.

(H) Many Tools and Open Source Frameworks:- Python is easily available and open source. The software development costing is significantly helped by this. Without putting extra cost there are many open source applications of python frameworks, libraries, and development tools for developing the application. The frameworks of the Python like Django, Flask, pyramid etc. simplify and make the process faster for web application development and for developing the GUI based application the Python GUI frameworks are available.

(I) Test Driven Development Adopted:- With the help of adopting Test Driven Development approach the Python makes coding easier as well as testing. Before any code development the test cases can be easily written. The written test cases can start testing the code simultaneously whenever the code development started and provides the result. Based on the source code these can also be used for checking or testing the pre-requirements.

(J) Python used for other applications:- Some major applications for which python is used 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. Conclusion for the uses of Python

The Python is one of the major languages used for the development of both desktop and web applications. Common programming tasks are taken care by the features of Python. Easy to use and simple to learn are the features of Python. Compared to other widely used programming languages like Java sometimes, python marks as slower. By simply maintaining the code and using custom runtime the Python applications can speed up.

The modules and packages are supported by Python, which enables code reuse and program modularity. Python is the first choice of developers because it provides an increase in the productivity. As it supports functional and procedural programming language so it has a great learning curve. It can be freely distributed and it is open source. Based on the requirement and compatibility with platforms and database the programming language mainly selected.

BENEFITS OF PYTHON In the software development companies such as in gaming, web frameworks and applications, language development, prototyping, graphic design applications, etc., the Python language has diversified applications. Compared to other programming languages used in the industry, this provides the language a higher plethora. Few of its advantages are: -

(A) Support Libraries are extensive. Python provides large standard libraries that include the areas like string operations, Internet, web service tools, operating system interfaces and protocols. In the Python the length of the codes to be written are limited as most of the highly used programming tasks are already scripted into it.

(B) Integration Feature It becomes easy to develop Web services by invoking COM or COBRA components as Python integrates the Enterprise Application Integration. As it calls directly through C, C++ or Java via Jython so it has powerful control capabilities. Python can run on all modern operating systems through same byte code. Python also processes XML and other markup languages.

(C) Productivity of Programmer is Improved Programmer’s productivity is increased to two to ten fold b’cause The language has extensive support libraries and clean object-oriented designs that of while using the languages like Java, VB, Perl, C, C++ and C#.

(D) Productivity Python has strong process integration features, unit testing framework and enhanced control capabilities that contribute towards the increased speed for most applications and productivity of applications. For building scalable multi-protocol network applications it is a great option.

PYTHON’S LIMITATIONS In some computing arenas that includes Enterprise Development Shops the Python language has not made its place. Therefore, this language may not solve some of the enterprise solutions, and limitations are as follows : -

(A) Difficulty in Using Other Languages Students face problem in learning or working on other programming languages as the Python lovers become so accustomed to its features and its extensive libraries. Python experts may see it as a difficult task in declaring of cast “values” or variable “types”, syntactic requirements of adding curly braces or semi colons.

(B) Weak in Mobile Computing Very few mobile applications are built in it like Carbonnelle b’cause it is seen as a weak language for mobile computing. But Python has made its presence on many desktop and server platforms.

(C) Gets Slow in Speed It is fast for many web applications but Python executes with the help of an interpreter, which causes it to slow down.

(D) Errors in Run-time As reported by some Python developers the Python language is dynamically typed so it has many design restrictions. The errors show up when the applications are finally run as it requires more testing time.

(E) Database Access Layers are Underdeveloped The Python’s database access layer is found to be underdeveloped and primal as compared to the popular technologies like JDBC and ODBC. As it needs smooth interaction of complex legacy data it cannot be applied in the enterprises. Wrapping up It provides an easy usage of the code lines, maintenance can be handled in a great way, and debugging can be done easily too so Python is a robust programming language. The computer giant Google has made it one of its official programming languages as it has gained importance across the globe.

PYTHON DEVELOPMENT CYCLE Compared to traditional tools the Python’s development cycle is dramatically shorter. There are no compile or link steps in Python -- At runtime the Python programs simply import modules and use the objects they contain. Because of this, immediately after changes are made Python programs run. It's even possible to change and reload parts of a running program without stopping it at all, where dynamic module reloading can be used. There's a rapid turnaround after program changes as Python is interpreted and it's easy to modify programs at runtime as Python's parser is embedded in Python-based systems,. For instance, developers change the code that handles a button press while the GUI remains active as GUI programs are developed with Python. When the button is pressed again the effect of the code change may be observed immediately. No need to rebuild and stop. In rapid prototyping the entire development process in Python is an exercise. By testing components in isolation and putting them together later Python lends itself to experimental, interactive program development, and encourage developing systems incrementally.


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