Top Python Frameworks That Developers Should Make Use of

According to a number of recent surveys, Python is the most popular coding language of 2015. As Python is a general purpose programming language, it is used widely as a server side scripting language for building modern websites and web applications. In comparison to other programming languages, Python enables programmers to express concepts by writing less code. The web developers also have option to curtail coding time by using several Python web frameworks. As the frameworks support a wide variety of activities, it becomes easier for programmers to drastically reduce the overall coding time.

Reason for Python's increased demand

Python- a brief history: The concept python was developed in 1980s but it take a long time before it come out to the production stage. But then it again remained in dormant stage for more than a decade. Due to lack of publicity and interest from the owner, it faced lots of hurdles during its life cycle. Any how it is catch by Google in 21st century through its ambitious project i.e., unladen swallow. Through this project it is reinvented and redefined by the expert team of Google to make the language faster and optimized than before. In the course of time, python gained around two to three times more speed than previous. This was possible due to the redesign process of the entire background Architecture of this programming language. All the repeated and unnecessary methods and modules get eliminated by Google to make it superfast and highly optimized. After this, python has never seen backward and has moved in a forward direction with lots of success in the course of time. Today it is treated as a language that can sit alongside with the all time industry leading java.

Pros and Cons of Mobile Development framework

Why Mobile Development? There is a warmer environment of mobile industry in the market and the trend continues up with every passing day. The circumstance becomes even hotter with latest gadgets like smart phones and tablets in the industry. As the outcome of this, the mobile development industry is gaining over whelming popularity in the IT sector. There is a huge demand of mobile developers in the industry and it is expected to grow further in coming future. There are many languages which are capable of mobile development process like PHP, JSP, ASP etc. On the other hand, to make the process even sweeter many software farms are gifting many mobile development tools through which a mobile app developer can build enterprise standard mobile applications in less time and more efficiency. Nothing comes without drawbacks and so the case for these advanced frameworks. Let us discuss some interesting advantage and disadvantage of these mobile development tools.

Problems while programming in Python

Python is old but having all modern amenities: Python was evolved in 1980s and it released its first version in 1991. In 21st century, it get reinvented by Google through its ambitious project Unladen Swallow. After the magical touch from Google, it turned out to be an awesome product. All the internal processes of the language get modified for optimum performance and easy programming. Now, it is equipped with all the modern features to develop futuristic software applications that are not only efficient but also effective. It includes responsive web design, Cloud service integration and smart phone app development etc. So we can say it ready for the upcoming challenge of the industry with its unmatched features and efficiency. What is more? A python developer does not need to bother for any third party module or class; because all the necessary methods, modules and classes are already there within the library itself. With all these positive things, Python becomes extremely powerful; but again, it is not perfect in every case because this is the undeniable truth of the nature. It has few shortcomings and a python developer must focus on them for better output; let’s find those pin points.

Python is Gaining Popularity among Developers - Why?

According to the most recent data on “the most popular coding languages of 2015” posted on Blog.CodeEval.com, “For the fourth year in a row, Python retains it's #1 dominance followed by Java, C++, and Javascript.” The data clearly indicates that Python has been used widely by modern developers across the world for building a variety of software application. Since its first release in 1994, Python has been popular among developers due to its simple syntax.

Best Practices in Django development

Google reinvented Python in past decade through its ambitious project called “Unladen swallow” that give name and fame to the language. Interestingly Google pause the project in the middle due to some internal problem still Python gained a performance boost of around three times than before. As a result, Python became a better choice for the industry to develop enterprise standard software applications. Moreover, Python get a tremendous support from the industry due to its exceptional performance for huge applications and that brought a positive vibe for Python among the software developers. In this situation, Django was born to make the Python development process not only easier but also efficient and faster. Django believes on “perfection within time frame” i.e., it doesn’t compromise on the quality of the Python application but it does the task efficiently within less time and deadline.

Develop efficient Python app in less time: As we discussed above Django is a powerful Python framework that helps the Python developers in developing quality and reliable end product in less time. It provides an awesome platform for Python web developers to develop modern futuristic web solutions for the industry that are backed with modern technologies and services. It provides performance report through various bottleneck calculations for your application like load testing, reliability, page loading time etc. This will definitely help the web developer to develop high performance web applications.

Django is MTV framework: Unlike common MVC architecture for frameworks Django provides a new generation MTV framework i.e., model template view architecture. Well this is not very different from that of MVC pattern. Rather it is the simpler form of the former. In MVC the view describes the interface for user data of the application but, in case of MTV, the same data is projected to the user but in a different form i.e., in a template. So it is just an advanced version of MVC architecture.

Develop asynchronous pages in Django: Django supports AJAX which is nothing but the foundation of asynchronous web application. Now the Python Django developers will get the advantage of AJAX and JSON while developing modern web applications for different devices that run on low memory like smart phones and tablets. Moreover, this will exert a dynamic look and feel to the web page of the application and hence this will improve the user experience as well as performance of the application.

Django templates are thin: As we discussed above about the MTV architecture of Django; now it’s time to spend few lines for the new template concept. Well Django provides a repository of templates for its Python developers. The best part is all these templates are extremely light weight but beautiful. These light weight or thin templates when integrated into the application creates light weight apps that are the requirement of the future generation browsers. Sometimes you may decide not to use any of those thin templates then Django gives you the freedom to integrate your own template for your application!! This proves the flexibility nature of Django.

Migration process is painless: Last but not the least, Django framework provides all types of support when a Python developer wants to migrate to a latest version of Django. This is a seamless process from the developer’s point of view. The best part is you can migrate to a lower version without any issue!!

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Avoid these mistakes while using Python for Big Data

Python – A true friend of web developer: Python is one of those old languages which were developed to give tough competition with C and C++. No need to say, it is highly inspired from the object oriented programming approach of C++ with some enhanced features within it. Due to its similarity with C and C++, it can be used for developing machine programming, mobile application development, desktop application and web application too. Its motto is “Batteries included” indicates its potential to develop huge applications at a very less time due to presence of all necessary and common methods and modules. Hence, Python gets maximum priority from the software developers while developing any big data application. It has the potential to develop big applications in small time with maximum efficiency. At the same time due to its large library, often the web developer miss to use the inbuilt optimized functions which creates trouble in future like performance issue, optimisation issue and synchronization issues. Let us have a quick look over these common mistakes made by the Python developers while dealing with big data projects.

Is the popularity of Python reducing worldwide?

The choice of a programming language is often the result of personal preference and experience. Almost all the modern languages are quite capable of performing most of the major programming tasks as well as include the libraries essential for daily uses. Pyhton is a powerful, easy to use scripting language that is loved as well as hated by programmers across the globe. Although it is powerful but is equally opinionated and idiosyncratic. It is an excellent glue language that is preferred by the Python developers as they find it more productive than others. While there is constant competition from a new and advanced languages, the existence of Python might be threatened. One of the primary reasons why Python is seen as a limited language is because it differs considerably from others.

Django - The web framework for perfectionists

Django a web framework for modern web developers: In the era of web applications, it will be unfair if we don’t discuss about an powerful web development tool of the industry. We are talking about Django!! Last week, one of my friends asked me about Python programming. I told him that, Python is a super powerful language just like Java or in some cases it is better than Java. Moreover, if we compare the inbuilt functions, modules etc then Python is simply unbeatable. Python developers can deveop any complex and huge project with much better efficiency and accuracy that any other language. That time, we discussed about Django which is a Python web framework. Though Python can be used to develop any type of applications starting from web apps, Desktop apps, Mobile Apps etc but, Django is dedicated to web apps only and fortunately it performs outstanding for its cause.

Jython and its Support for Python Programming

The very term, ‘Jython’ itself says that it is some sort of modified avatar of Python. Alternatively speaking, Jython is a successful marriage between two top ranked languages – Java and Python. Therefore, it is understandable that it will have comprehensive support for Python programming. This marriage has resulted in something new along with extraordinary.

Jython, frankly speaking is an extremely powerful language, more so because it comes up with the combined features of Java (J) and Python (P). It is also an Object Oriented Programming Language (OOPS) just like the two. The combination of these two high profile languages makes Jython more efficient and stronger than any of the core languages. Still, for some reason or other, it is not that famous amongst the developers.

Technically speaking, it is the ‘descendant’ of Jpython and is actually a Python Programming language, which is written in Java. Jpython, which is the previous version of Jython was absolutely pure J only in a different form. On the other hand, the language is a combination of J and P. So anyway, Jython has an unblemished support for P, which cannot be ignored. As per the statistics, Python is the first choice of the programmers when it comes to writing code. Especially following its amalgamation with green Java, it has become more effective as well as handy, especially from the perspective of the developers. Therefore, it will be more sensible for the developers to take to Jython, rather than continue with P. In fact, the most fascinating part of this language is that it is capable of importing as well as using any library or a J Class, whenever needed.

It is an open source language. Hence, it is available free of cost for both personal as well as commercial use. Besides, the language takes the advantage of the Java classes, making it one of the most versatile as well as one of the largest libraries of any programming language. Also, it is not entirely Java – besides, is composed of a considerable number of conventional Python modules or classes. It is this combination that makes the language so much effective as well as efficient, particularly when it comes to development of a huge application.

While developing applications with larger volume, it is really a Himalayan task to write the entire code using J, as J coding is more time consuming than any other programming language. That is why it comes in handy in these circumstances by making things much easier as well as faster. It is seen that whenever an application is developed at a brisk pace, the quality has to be compromised with. It scores on this front as well, for though it speeds up the development process, it never compromises with the quality. Hence, it can well be said that Jython is the perfect option when it comes to developing application faster with security as well as accuracy.

Coming back to Jython and its support for P programming, the language compiles source code to the Byte code of Java as an intermediate script from the statistical point of view and hence, it can run on the JVM.

Also, it provides an effective platform for communicating with Java with Javascript, a process which is extremely easy as well as effective. It also permits rapid prototyping, a fact that makes code writing process backed by its unconditional support for P, much faster. The support for P indicates any developer, who is working with P or J can without any hassle seamlessly transform to Jython. Also, the fact that it is extremely well designed, and is structured with neat and clean syntax makes their job easier. In fact, the developers coming in from Python or Java environment will feel as if they are in the same environment.

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Has Python surpassed Java in Popularity

According to an analyst, out of the 10 top universities 8 universities currently use Python in order to introduce programming. Python has gone beyond Java as being the top language meant to bring in U.S. students to the programming also computer science, based on the latest study shared by the ACM (Association for Computing Machinery). 8 from the top ten computer science departments nowadays using Python to train coding, and also 27 from the top 39 schools, signifying that it's the preferred language in educating basic computer science programs, as per Philip Guo, a computer science analyst who actually compiled the research for the Association for Computing Machinery.

Few Python programming problems

Python is a high level programming language that has in built data structures and dynamic semantics. It is a preferred language for Rapid Application Development as well as a glue language for connecting existing services or components. Needless to say, Python is an impressive language but it has its own sets of problems that might lead the programmers to bugs and poor performance. On the other hand, developers are human beings as well and to err is human. There are certain common mistakes that Python programmers commit while coding software. However, if you are aware of these common problems, then it might help you to avoid falling into the trap when coding with Python.

Use of wrong indentation

There are several Python features that are dependent on indentation. For instance, if a developer is creating a new class then everything in there will be indented under the class declaration. Similar rule applies to loop, decision and other structural statements. In case you find that a code is executing a task that it should not be doing, then it is time to review the indentation that you have used.

Data and Markup Mixed
This is another common mistake committed by the programmers. If you mix up markup and data then it leads to a number of problems and finally to unmanageable codes. It might happen that you have data in a string and this string will have a particular format. If the format is in prosaic text, you would want to preserve the newlines and at the same time collapse the whitespace into a single space. The problem is the data appearing on a website is in HTML format. Generally it is suggested to escape the input text and convert the newlines to simply. This is a wrong approach. One of the main reasons why this is wrong is due to the context. Owing to the API concept web applications are growing more complicated nowadays. Thus, there are other forms, like, JSON in which the web functionalities are also available. So the best way to be on the safe side is to store data as it arrives instead of flipping it.

Choosing assignment operator
There are many developers who rely on the assignment operator while performing comparison between two values or objects. The problem is that the assignment operator simply places the value or an object within a variable. It, however, does not perform any kind of comparison.

Problem with choosing the framework
It often happens that more than the desired time is spent on choosing framework. When you have a small application, there are no problems with framework. Even if there are more codes switching systems is no difficulty when need arises. On the contrary if you want to switch a core component like the ORM, it is conveniently achievable. This process was more difficult when the systems were incompatible. But now choosing the right framework is quite an easy job. Hence, there is no point in spending much time over its choice.

Monolithic systems have no value
In this world of agility, building monolithic systems make no sense at all. The web developers have good advantage as they can work with HTTP. You can write small services with HTTP and combine them together with another application. You can also choose to use the load balancer between the individual components. In case you do not have the Python library required for the job, you can also make use of Java or Ruby for writing a part of the System. However, it is important that the programmers do not use 8 different languages and with various runtime environments. This would completely jeopardize the life of the system administrator.

Count by one errors
This is created on the loops. What a developer needs to keep in mind is that a loop will not count the last number that is specified in a range.

Spelling errors
Now, this is really unfortunate. Even some of the most experienced developers commit this error. It is better that they adopt a common approach for naming functions, variables and classes. All it requires is to be a little careful while typing the naming schemes.

If you are interested in working with Python, it is imperative to program it without any errors. The above mentioned points will help you to avoid some of the most common mistakes in Python programming.

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Why is Python preferred over other languages?

Large number of software engineers, business owners, as well as the users choose Python rather than some other programming languages. Python is a general purpose interpretative, user friendly, object oriented and high-ranking programming language which was designed by Guido Van Rossum in the year 1991. It is actually created from a number of other languages, such as ABC, Modula-3, C, C++, SmallTalk, Algol-68, and UNIX shell along with other scripting languages. In a short time frame, Python has drawn interest of several developers. Google, YouTube, Facebook (PHP & Python), Reddit (Pylon), FriendFeed, SuggestionBox (Django), Tabblo (Django), Disqus, Bitbucket (Django), and Quora are among the well known websites which are with the Python programming language. A lot of companies are offering Python Development Services at a very affordable price to the people who run businesses to obtain the entire advantages of Python. With the help of these facilities, businessmen can produce their own website in a very professional and rich way.

Jython - Things to know about

Jython, an open source, implements the Python programming language that is integrated with the Java platform. To run this object-oriented and dynamic language a programmer has to compile Python source code with Java bytecode. When a programmer integrates Python and Java, it gives him an access to all the Java libraries. By using the libraries, Applets and JavaBeans can be used by assigning the classes of any of these languages as sub-classes under the other. Jython is written in Java and seamlessly integrates Python so that it can run on any Java platform. It has been designed to perform various kinds of tasks, like, embedded scripting. Its original version was known as JPython in 1997. Jython 2.0 is a later version that has been developed through a combined volunteer effort and it is available without any cost for both non-commercial and commercial uses.

History of Python - Versions, Features, and Upgrades

Python is a hugely popular general-purpose as well as high-end programming language that is based on code readability. The syntax of Python provides the programmers the unique option of expressing concepts by writing new codes that are better than what is needed in case of other languages like C or C++. The language helps in creating constructs that are designed to develop clearer programs on a large scale as well as a small scale.

It can well be termed as an interpreted, high level, object oriented programming language, that comes up with a series of dynamic semantics. The high end data structures, that are combined with dynamic binding as we’ll as typing, make the language so lucrative, especially when it comes to RAD or Rapid Application Development or using the language for scripting or as a glue language for connecting the existing components with each other. It is simple and its syntaxes are all extremely easy to learn. They put more focus on readability. Hence, they come in handy in reducing the expenses of maintaining the program. The language also supports modules as well as packages. This encourages program modularity as well as reuse of codes. The interpreter and its extensive customary library are present in source as well as in the binary form and they are freely distributable.

Python is designed to support multiple programming models that include object-oriented, functional, as well as imperative programming patterns. It also comes up with automatic as well as system memory management along with a comprehensive standardized library.

Python is generally used for scripting for web based apps and for facilitating these apps, a standard API has been designed with WSGI or Web Server Gateway Interface. Various web app frameworks such as Pylons, TurboGears, Tornado, Zone, Flask, and the likes, support the developers when it comes to designing or maintaining the complex applications, while IronPython and Pyjamas are used for developing the client side of the Ajax-based apps.

Like any other dynamic programming language, Python can be used for scripting though it is also possible to use it as a non-scripting language. The codescan can also be used as a standalone program, especially with the use of certain third party tools like Py2exe and Pyinstaller.

Python, technically speaking can be termed as a multi-paradigm language that is used for structured, aspect-oriented, as well as object-oriented programming. It uses dynamic typing technique along with a combination of cycle-detecting garbage collector and reference counting for the purpose of memory management. Another very significant feature of Python is its dynamic name resolution mechanism that binds method as well as the variable names when executing a particular program.

Python saw the daylight for the first time towards the end of 1980, while the implementation commenced from the month of December, 1989 and was considered as a successor to ABC programming language.

Python 2.0 was ultimately released on October 2000. This version came up with a number of fresh features that also included a full garbage collector along with Unicode support. However, the most significant feature that this particular version came up with was the development mechanism that was followed. It involved a major tilt towards a process that was more transparent as well as community-backed.

The next version, P 3.0 was released in December, 2008 and this version came up with a lot of features that have been back ported to the 2.6 and 2.7 versions.

Then came the next version, P3.0, which is also called Py3K or Python 3000, which was designed and developed for rectification of the fundamental designing loopholes that were earlier detected in the language.

The language has successfully been embedded in quite a number of products like Abaqus alongside a few 3D animation languages like Max, Cinema 4D, Houdini, Maya, etc.

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Pythonista - What is it and how does it help in iOS development?

Pythonista can be called a universal app which is used for the writing as well as execution of Python scripts as an interpreter for iOS. This solid app allows the working as well as running of core Python modules. In fact, the design is such that it is more than simply an app. In terms of interface and navigation, some differences are there between the iPad and iPhone versions. However, there is a certain consistency in Pythonista across the platforms. There are several features in it which are similar to a respectable code editor.

This application acts as a great companion that helps in learning Python language with its interactive prompt. This prompt function allows experimentation as well as has plenty of examples. Another great feature is that the whole documentation can be easily read within the app itself. The design is extremely attractive with lots of non-standard UI controls and subtle shading. The syntax highlighting feature contains six colour schemes for highlighting. It even includes two solarised options- light and dark. It is obvious that the application is the fruit of a lot of thought as well as consideration.

One of the most loved features of the app is the code editor which contains almost every feature that a person can possibly think of. The extended keyboard that it has is specifically meant for Python writing. The code editor with code completion advantage can be extended even with the scripts of a developer. The keyboard has a couple of extra rows which lend some additional keys for better and unique functions while writing Python. The features like auto pairing as well as code completion have been implemented with a lot of style. For example, with code completion the set of buttons is translucent and hover out of way. With the typing of function name, the completion list changes. Gesture controls is also there which gives a satisfying as well as smooth effect.

The scripts of Script library can be easily organized by virtue of this app. You can choose two kinds of views- a traditional list-like view and something which is known as snippet view. In the snippet view scripts are seen as thumbnails; the first code lines are given as preview. In both the views the scripts may be sorted by modified dates or names. There is a + button on the top which allows addition of scripts. Existing ones can be deleted by tapping the Edit button. Document library can be easily navigated. The library does not contain any hierarchy or folders.

There are several easily usable libraries which act as boons for incorporation of multitouch, sound as well as 2D graphics. They are really simple to work with; even accelerometer can be used for creation of interactive experiments or motion-controlled games.

Writing of codes has become a simple matter due to the interactive prompt as well as code completion features. With interactive prompt, a particular thing can be tried out very quickly. The code can be automatically completed by the suggestions that appear just above the keyboard. In fact, even the suggestions come coloured as per the chosen colour scheme. There is a “auto-complete bubble’ that appears while typing; typing on it allows Pythonista to complete the code. Another great thing about this feature is that only class names, functions, etc which is related to the imported module will be suggested.

If you are one those people you wants to conduct amazing things on their iOS enabled devices with Python, then Pythonista is the perfect answer to your prayers. This extremely powerful tool helps the developer take all the advantages, making it a compulsory app for everyone working in Python. You can hire developers from top python development companies in India who can help you build products within allocated budgets and time schedules.

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Python Development - Attain Robust App Building

Many programmers opt for Python to express concepts without writing longer lines of code. As a dynamic programming language, Python is also used for both scripting and general purposes. The simple syntax and semantic further makes the programming language highly readable and easier to learn. You also have option to use the large standard library provided by Python to accomplish a variety of common programming tasks including establishing connection with the web server, reading and modifying files, and searching for text with regular expressions. However, you can always consider some simple tips to attain robust application building without putting any extra time and effort.

5 Simple Tips to Effectuate Your Python App Development

1) File Handling

Python enables you to handle your files efficiently without importing additional modules. You can simply use a built-in called as files to accomplish file handling tasks. The object allows you to manipulate files by using a set of basic functions and methods. For instance, you can use the built-in open() function by passing the file name as parameter to open the particular file in read mode. Likewise, you can manipulate the file by using a variety of functions like read(), readline() and readlines(), write(), writelines(), append() and close() functions.

2) Language Rules
You can easily enhance the readability and aesthetics of your code by using PEP8. The style guide for Python code will further help you in maintaining consistency within individual functions and modules. It can also be used to maintain consistency throughout the project. For instance, based on the requirement of your project you can consider using imports, packages, exceptions and generators. Similarly, you need to avoid using global variables, and use list comprehensions only for simple cases.

3) Python Style Rules
The PEP8 style guide for Python can also be used to customize your code. However, you must remember certain styling rules while customizing the lines of code. You must avoid using semicolons (;) to put two commands in the same line or terminate lines. The length of each line must not exceed 80 characters. You have to indent the code blocks with 4 spaces. It is also important to use the most appropriate style for method, function, module and in-line comments.

4) Browsing with Mechanize
As a useful Python module, Mechanize makes it easier for you to navigate through the web forms. You can use the browse-like object provided by the module to interact with the web pages. To use Mechanize, you have to create a browser object and specify its settings. Then you can open a web page, and list the forms included in it. After selecting the web form, you can use the browser object provided by Mechanize to iterate through the web form controls. You also have option to select text controls, and set these as a string or access in read only mode.

5) Using Python for the Web
As noted earlier, Python can also be used as a scripting language for the web. You can write Python code to interact with other applications. Your application will use application programming interface key (API key) to access a variety of services on the internet including Facebook, Google and Twitter. Further, it can exchange information with other systems through JavaScript Object Notation (JSON). JSON can also be used in a variety of forms including string, array, number, value or objects. Thus, you can easily optimize the performance of your application by accessing and integrating with a variety of online services.

You also have option to use Python development frameworks to rapidly build robust applications. The tools provided by these frameworks will make it easier to accomplish specific programming tasks without writing complex code. Also, you can access various online developers’ forums to know some of the Python development best practices.

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Why is Python gaining popularity among programmers?

Python, the high level interpreted programming language is also noted for its strength in server side scripting. This object-oriented dynamic language is often compared with Microsoft’s .NET and Java based languages and pitted as similar to these two. It can be used for software development of various types. It lends excellent support to integrate with other technologies, showing high productivity all through its development life cycle. This open source language is growing at a rapid pace. The pseudo code and Python code resemble each other. Even multi programmer development teams find the language quite readable- all thanks to the syntax rules as well as elegant design.

The interactive as well as portable language can be easily learned. It offers a number of benefits including dynamic semantics as well as rapid prototyping capabilities which have resulted in the language gaining popularity very rapidly. Some of the notable features which have resulted in the popularity are given here.

Straightforward support- Python has a great community which provides good support to the users. Since the code can be accessed freely by anyone and everyone, millions of developers all across the globe function hard to locate bugs so that they can be fixed accordingly. This results in fresh enhancements being added to it.

Integration- Python is multi-functional- it helps in easy development of web services, direct calling from and to C++, C or Java codes, providing of powerful capabilities for process control, invoking of CORBA or COM components, easy implementation of all internet protocols along with embedding of processes XML, data formats as well as other mark up languages as scripting language. The same byte code can be run on every modern operating system.

Readability- Python’s syntax is clear and easily readable. Its organization makes it imperative for programmers to maintain some order. The code can be easily understood by both experts as well as beginners, which makes it easy to become productive very rapidly. The development as well as prototyping any program is easy. The cross platform portability also makes it easy to simply code one time and then deploy it to several environments. In fact, there are lesser dialects in this language than most other popular languages like Perl.

Quick coding- Several tasks that normally have to be taken by other languages can be skipped here. Eventually the program maintenance is low in cost. The code can even be quickly adapted. Python is often known as ready-to-run language in which the simple code can be easily played with and tested.

Object-oriented- Generally scripting and programming languages have varied object-orientation support. But all the aspects of this language are designed as object-oriented. The programming process may be started by using non-OO structures. This programming is simple as well as beneficial for all.

Portability- Python runs across a variety of systems. Not only that, the interface is quite similar on various platforms. The language design is not specifically attached to some particular operating system. Thus Python program can be written easily on a particular operating system, tested on some other system and uploaded just as easily to another system.

Reusability- Program can be reused since the modules and packages are implemented carefully. There is a gigantic set of modules innovated and offered as Standard Library that forms a major part of the distribution of Python. The functionality can be shared simply between various programs through breaking up into several modules to reuse them as parts of other particular programs.

There are several programming languages available these days. Some popular languages are Java and C. However, the process of writing, testing, compiling as well as recompiling in them can be extremely slow and laboriously complicated. Python is fun to use, easily learnable and has enough power to handle even the most complicated tasks. So when the programmers find it hard to choose between the several options, most of them opt for Python. It has become a useful companion for many which accounts for its rising popularity.

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Moving from Python 2.7 to 3- Some pros & cons

It has been quite some time that Python 3 has been introduced in the software community, but due to some technical glitches, it was not widely accepted. Earlier, it did not have the basic Python libraries like SciPy and NumPy but now they have been imported. In fact, it is an incremental release and that is why the casual programmers may not have many new features to use. But it has now ironed out the glitches as well as quirks which were there in the earlier versions, making the syntax consistent. So before moving to version 3, here are some pros and cons to know about.

Pros

Using compatible syntax- There are many common features between versions 2.7 and 3 due to backporting which essentially allows you to use them in the old scripts, subsequently making the transition very easy. Like % operator that works in version 3; only the format method is different, and that gives increased flexibility.

Unicode support- The version’s text model has been revised which makes the primary string type totally Unicode-capable. Thus the models used in Unicode-capable Windows APIs, JVM, .NET CLR, etc. and Python 3 are brought closer. Its interpreter core is more tolerant to paths containing Unicode characters, which leads to less chances of problems when running scripts on Windows from home directory if, for example, the user name has non-ASCII characters. In fact, the support is more deeply embedded in the language itself. Since a huge variety of Unicode characters are now allowed, developers can use other languages, apart from English when naming; they do not have to use names which suit the fixed character set.

Set literals- Sets in the version have new literal syntax. {1, 2, 3} can be written instead of the set([1, 2, 3)]; the former is quite clean. In fact, both work perfectly, but using the new one gives less problems.

Abstract base classes- Support to make abstract base classes is contained by abc module; in it a property or method may be marked as “abstract” on base classes and implemented in subclasses. This is for definition of interfaces with the creation of classes which has no concrete method(s). One example of the concept is the mathematical class hierarchy.

Cons

Using ported libraries- The pure libraries may be converted semi-automatically to Python 3 but those depending on C extensions are really hard to port. Many libraries have been already ported, but there are some which have not been ported yet. However, this may not be of much problem if the project is small.However, in case of large scale projects this might pose a problem.

Differences in builtin functions- All functions of the previous version are not compatible or rather related to the Python 3 counterparts. Like when you use filter function, an iterator is returned in version 3 but the previous versions return a list. The same is applicable for .keys method.

Filesystem access- It is assumed by the software that all the filesystems have encoding, but then as a matter of fact, there is no encoding in many Linux systems as well as OS X. In fact, different rules for Unicode normalization are applied for filesystem on OS X than for applications. So the filename has to be normalized manually to separate encoding when filenames have to be compared in file system.

Beginners in the world of programming can benefit if they learn Python 3, especially if they do not know C. All in all, there is no huge difference between the implementation of Python 2.7 and 3. In fact, the usage of version 3 seems to be a complicated procedure for many, especially if the project is a big one and there is less time for unit testing. When unit testing is conducted the ultimate code turns out to be well tested as well as reproducable. Porting to Python 3 will yield in plenty of minor and innocent changes, but this will make it more dangerous, making it necessary to test particular and individual functions in the scripts. This will ultimately lead to profit in the long run, but you will have to waste some of your precious time which could have been devoted in bettering the application and other such things.

You can hire programmers from top custom python development company who can help you build products within allocated budgets and time schedules.

We provide python development services. If you would like to hire python developers from our team, please get in touch with us at Mindfire Solutions.

Why Software development in Python?

At present there are a host of languages which can be used for building a nice and robust website. When planning to build a website one is spoilt for choices which at times can be confusing too. Which one to use and which one not to use? All languages have their own inherent strengths and weaknesses. If you have a clear idea as to what application you want to build and what your needs are you can choose effectively? 

Still having said all this there is one language which can fairly meet all your expectations and you can use it without spending much time in doing a cost-benefit analysis. That language is Python. I have listed below the reasons why I think Python is so good. At Mindfire we have been working in Python for more than 5 years and based on our experience and dealing with clients I can safely say that Python is the one for you. The offshore Python development team at Mindfire is one of the best in the country.

The strengths it has are: 

Object-Oriented Programming

Every structure in Python is designed to be OO just like it is in Smalltalk. So you don’t have to do it yourself. OO features like Inheritance and Polymorphism are already implement in Python.

Fast to Learn

Since the source code resembles pseudo code, it s very easy to learn Python. This is a big advantage if you are building the website on your own or setting up a team to build a website for you.

Fast to Code

With its host of features – coding in Python is comparatively easier and faster than other languages.

Readability 

Python’s syntax is clear and readable and since it imposes some order for programming, the code turns out properly indented and easy to read.  The code is nice and clear, which makes it very easy to read and maintain.

Easy to get support

Since the Python community is large and active – it is very easy to get support whenever you are stuck in any issue. The community is very co-operative and helpful.

Reusability

The Standard Python library, which is part of Python distribution, has a lot of pre developed modules. One can break a program into modules and reuse the ones already developed. This saves time and effort, which in turn helps make website live date earlier.

Portability

Since it is written in portable ANSI C, it is not attached to any specific operational system. This makes it easy to deploy it in different systems thus increasing the portability.

To know more about our expertise in python development and to hire pyhton developers, please contact us at sales at mindfiresolutions dot com or call 1-248-686-1424. We will be glad to help you.