Top IDE's that can be used for Python Development

Python is an interpreted language. This implies that the users hardly need to have an extensive knowledge about the hardware and the memory or the elongated string of the 0’s and 1’s. With Python, what the user needs to do is to write codes in text form, with predefined syntax as well as keywords. IDEs or Integrated Development Environments can be defined as code editors. It may include certain tools as well as components that can well be used to develop a particular software application program. The programmers nowadays prefer to use these IDEs as they help them to save time. Besides, these IDEs come up with certain features that help them perform much better task that an ordinary or conventional text editor.

Explorer

This particular IDE tab shows up the list of folders and files that are being used in a project or program, which is being developed currently, at a given point in time.

Source Editor

This IDE behaves just like a normal text editor. However, it is much smarter when it comes to source codes, and generally suggests the programmer, the likely keywords, or functions that can be used for programming.

Debugger

As the name suggests, this is a debugging tool that is actually a program that can be used for testing as well as debugging other programs.

Compiler

It is a computer program that is designed to transform the source codes that are written in a particular programming language into another understandable language.

Form Builder

This particular IDE is designed for creating GUI or Graphic User Interface. It comes up with a tool box that controls the functionality of the IDE. It also helps in designing the user interface.

Ipython

It is regarded as the best as well as the most popular python IDE. It is designed to facilitate interactive computing, irrespective of the language used, with the help of its interactive kernel, which directly interacts with the client. This also implies that all the kernel features are readily available to the clients. Technically speaking, iPython is an interactive computing command shell, which comes in particularly handy in case of parallel computing.

Sublime Text 2

This is another extremely powerful as well as effective python IDE that is available for Linux, MAC OSX as well as Windows OS. It can be downloaded as well as evaluated free of cost, though to continue using licensed version, it needs to be purchased. Sublime Text 2.0.2 is the most stable version, though a newer version, Sublime Text 3 is also available and can be downloaded.

Komodo

This is a highly effective and popular IDE that comes up with unique features that has given it the name of ‘Smart IDE’. It is compatible with languages like Ruby, PHP, JavaScript, Perl, CSS, Python, HTML, quite a number of web based templates, SCSS, Node.js, CoffeeScript, Tcl, LESS, XSLT, and the likes. It also has certain value added features like Code intelligence, Advance editor, Multi-Process Debugging, Code Folding, Graphical Debugging, etc. The IDE is available in Linux as well as Windows OS.

Eric

This is another Python IDE that is extensively used. It is an open source IDE that is scripted in PyQt with the help of the editor widget, QScintilla. It is basically used to write programming language in Ruby and Python. The IDE is based on Qt GUI toolkit that is very much cross platform, integrating the Scintilla editor control that is highly flexible. It mainly is used as a professional tool for project management that integrates a number of value added features that Python offers. It also has a plugin system that helps easy as well as a seamless extension of its functionality with the plugins that can be downloaded from the net.

PyDEv

This is another very effective IDE that is used mainly for Eclipse, and are complete with some astounding features like syntax error spotting mechanism, code editor assistant etc. As the IDE is based on Eclipse, handing it is much easier than the other IDEs.

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Python - Why Do We Use Django For?

Django can be defined as a high-level Python Framework that helps the users to come up with faster as well as cleaner development along with some realistic designing of websites. Developers today prefer to use Django over Ruby on Rails due to certain reasons. They are described below:

Language

Python is extremely articulated as a language. You will find definite guidelines along with instructions, particularly about the way the codes are to be written or formatted. Besides, you will also find a clean structure in the codes, irrespective of whatever you do. In fact, the framework follows the good old principle that says, “Codes are more read than they are written.”

Presence of 3^rd party Libraries

When it comes to 3^rd party libraries, using Python will not pose any problem for the developer. The libraries are powerful as well as mature enough to make coding seamless as well as fast as well as free of hiccups.

Helper Tools

It comes up with some helper tools that will make the life of the developers much easier. These tools help you maintain as well as deploy the codes. If a developer takes some time and learn their application in a proper way, they will give some healthy returns at the end of the day in terms of advantage as well as perfection.

In other words, one framework is used over another because of the advantages it is offering. From that point of view, Django scores over Ruby in a number of aspects.

In fact Django is the framework for those who are perfectionists, particularly those, who tend to work with strict deadlines. With a string of value added features like helpers, working ORM, a fantastic admin interface as well as a few more, Django is a developer’s dream framework.

Object-Relational Mapper

It comes up with a default implementation mechanism that helps the developers when it comes to writing databases as Python class and query the same databases by using Python. This means that there is no need to write even a single SQL line manually.

Admin Interface

When it comes to taking care of a specific website or a client, it is imperative to manage all the content in a competent and flawless way. However, that does not mean that the codes and other texts need to be written in order to save time. It saves a lot of time as well as work. Django does exactly that.

A majority of people today uses Django, though the performance is not outstanding or spectacular, it is more than average and good enough to be used regularly to power up the normal sites that we see every day on the net. It is a good tool and a well built one as well and this makes quite a difference at the end of the day.

Guarantee the longevity of the site

This is another cool factor that will speak for Django. The framework helps the sites to enjoy longevity. It means the site will not go down easily. That it ensures better life expectancy of the site is one of the major reasons why sites today are made up more with Django than anything else.

It is fast

Each and every bit of this framework is designed keeping in mind the speed factor. The template language of Django is much faster. The speed is so fast that even the caching compiled templates appears slower than when it comes to re-rendering them upon each and every request.

Django Scales

Whatever you do – right from launching and running personal websites that run on shared hosting to the small band websites and the huge databases of public information to the social networking sites, Django is ultimate when it comes to handling all the data successfully. Hence, the framework features some astounding scalability that makes a difference. On top of everything, the budget involved is truly realistic as well as manageable.

Last but not the least, the admin of Django is amazing and is devoid of that customary writing of content-heavy sites that is associated with admin structuring. You can get in touch with a Python development company who can help you develop web application within allocated budgets and time schedules.

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Leveraging the power of Python for processing Big Data - an Insight

Python, the highly popular programming language is user friendly as well as remarkably easy to learn. Besides, it also offers a string of highly powerful value added features that help in dealing with relatively large data sets that come handy in improving the productivity of the programmers and engineers.

For people who are familiar with Excel, it is important to pick up the benefit of the high end database of Python, so that they can manage data manipulation and analysis in an efficient way. Be it dealing with huge financial data sets or high value scientific data, Python helps in rapid development for retrieving, converting, processing, and analyzing large amount of data sets. Now let us discuss what gives Python so much power when it comes to processing bigger structures of database.

Holistic Design

Python allows various object oriented as well as functional design patterns. We all know, as different types of problems ask for different ways or processes of thinking, similarly, various problems ask for various types of programming paradigms. Thus, it can well be said that linear procedural process gets automatically associated with a number of scientific problems. However, when we speak about any object oriented style, it is built on classes that have internal functionality as well as external behavior, and that strikes a perfect design pattern.

This is why the classes in Python are practical as well as full-featured. The language is so designed to let everything pass around a particular object that should include functions, various class definitions, as well as modules. It is made up of a fully fledged iterator library and the features thereof combine with each other to make the language flexible enough to solve a wide range of problems, especially while handling huge database and this is one of the main reasons behind its popularity.

Readability

In order to reiterate the recurrent points, the syntactical structure that the language comes up with is extremely strategic as well as well thought. Unlike the other scripting languages like Pearl, when the syntaxes for Python were designed, the primary factor that was taken into consideration was – readability. It is this readability that helps the users deal with large database, using the language. Besides, it also encourages contribution to open source projects so that the users can discuss their codes with others without any problem whatsoever, and that ultimately results in better coding as well as handling of huge data structures.

It strikes the right balance between high and low level programming

Python helps in striking the right balance between the high-level and low-level programming and that has been one of its major strongholds. Its codes are reasonable. On an average, the coders would need to write about 6 lines of codes in C or C++ for each Python line, quite similar to any other high level language. This implies that though the programming speed remains the same, the coding speed for C or C++ is much lesser than that of Python as the coders have to write extra lines for the latter.

Comprehensive Data Structures

Good quality programming asks for usage of correct data structures for maintaining a true as well as justified algorithm. This at times is not taken into consideration while writing codes that are research oriented. However, Python is something different. With lists, sets, dictionaries, tuples, threadsafe queues, strings and other built ins that are used as stacks, it is well built for comprehensive structures of data that in turn leads to better data management, especially when it comes to handling large databases.

Hence, it can well be reiterated that Python offers a wide-ranging as well as complete programming solutions, especially while dealing with large structures of the database and this is almost indispensable in processing big data. This has made the programming language so very popular amongst the programmers and coders of today. You can get in touch with a Python Development company who can help you develop web application within allocated budgets and time schedules.

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Web Programming in Python - Why is it a great choice for small business?

In the matter of web programming, we have several languages to use; some may be easy to learn while some others may not be so. In this scenario it may be difficult to choose the perfect one since each offers a distinctive set of advantages. Python is often regarded by most developers as a reliable as well as trustworthy language of choice; but sometimes small businesses do not consider it since it is not as mainstream a technology as Java, PHP, etc. However, on close examination it may be seen that it is perfect for small businesses and using it will only benefit them.

Simple readable syntax- In the program structure of Python, indentation is used for indication which may turn off those who are using the language for the first time. However, the similar syntactic stuff and {}s can be avoided which in turn leads to reduction in typing burden, making writing as well as rewriting of several lines of code easy. In fact, the organization of the syntax makes it quite clear and easily readable since some order is imposed on programmers. The code is easily understood by both experts as well as beginners; this leads to rapid productivity. Another notable thing is that there are lesser dialects in it in comparison to other languages like Perl.

Easy integration- All kinds of integration can be easily carried out. Web services can easily developed, CORBA or COM components can be invoked, process control capabilities can be provided, direct calls to and from Java code, C++ as well as C can be carried on. All common data formats along with internet protocols can be implemented; markup languages such as XML can be processed. You can even embed it as scripting language.

Reusable- Python carefully implements modules as well as packages to motivate program reusability. There is a huge Standard Python development Library consisting of already innovated set of modules. The functionality can be simply shared between various programs by breaking up into different modules to reuse them as parts of other programs.

Deep prototyping along with fast development- Programmers may easily integrate as well as interleave prototyping with the basic development process, making the entire development fast. Normally in other programs a problem may be approached in a new way but it would take almost a week. However, in this case you might just need about half a day. Thus existing imperfect codes can be easily worked upon and new ideas can be tried as well. The design of the application may be infused rapidly with experience, leading to a better quality of code.

Portability- It is compatible with multiple systems; on top of that the interface is similar on various platforms. Since the portable ANSI C is the basis of its writing, the language’s design is not attached to a particular operating system. This means the Python program may be written, tested as well as uploaded easily on various systems.

Opensource- For small businesses, cost is of prime importance. This issue is addressed effectively since Python is open source. This has resulted in a massive community support; the usage, modification as well redistribution is unrestricted. No license cost is involved and a huge amount of available resource makes sure that any coding problem is easily accomplished. Developers may easily take help of the massive library containing already developed third party applications. So coding becomes even easier as well as simple; to implement a particular action, it can be easily found and studied to implement in the program.

Python is not only fun to use, but easy to learn and powerful to handle almost any task as well. It is especially suited for small businesses since there is very little investment but a lot of profit. It considers all aspects and is the best option for functionality with cost effectiveness.

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Python Retains Its Prominence In Programming Languages on the Internet

Python can be described as a advanced and object-oriented programming language and that is used in functions such as scripting for the web based applications, computing scientific calculations, scripting language for the wide range of many different software applications. Python consists of the different features along with the uses in the scripting language Python that has made it one of the best preference among the software developers. An important characteristic feature in Python is that it has a powerful system and has actually been created with a memory management system that has been automated. Additionally it includes a wide, standard as well as a comprehensive library. Each one of the above mentioned features provide Python an advantage compared to various other programming languages and therefore are the reason of its vast popularity.

Python as a programming language focuses primarily on making its code readable as well as its syntax is made in such a manner to make it possible for computer programmers to easily express his or her ideas within a couple of lines of the coding than it could usually become a possibility in some other computer programming languages like for example C, etc. Making use of Python as a tool software engineers can produce conceptually clear as well as compact programs equally or a large & small scale.

Python is additionally recognized for supporting all types of programming procedures along with the object oriented, functional programming & imperative programming ways or procedural Styles. Python is additionally put to use in the procedure of scripting for example with developing web based applications for instance Drop box and others. In addition, it is put into use for a scripting language into the development of several well known software products such as for instance Three Dimensional Animation Package programs like Blender, Light wave, Motion Builder, & Cinema 4D and so on. This has additionally been put to use widely for the advancement of a number of video games.

One of the latest achievement of the Python is that it has been recognised as among the 3 programming languages that are put to use in building Google Applications Engine along with Go & Java. Python continues to be put to use in the computing scientific calculations within the areas regarding algebra, calculus, numeric maths and so on. The fact is Python has additionally been use within the development with the much anticipated Artificial Intelligence. The majority of Python implementations such as CPython could work like a command line interpreter, to that the user inputs statements sequentially in order to receive the outcomes immediately. Therefore, Python has made the lives of programmers easier and also has spotted its place among the list of most well known programming languages in the internet.

Python was developed during the late 1980s and the execution was actually began in the month of December the year 1989 by Guido van Rossum at CWI from the Netherlands as a successor for the ABC language with the capacity of exclusion handling & interfacing by the Amoeba operating system. Van Rossum known as Python's principal author, and his carrying on with core role on deciding what direction regarding Python is shown with the title given to him from the Python community, Benevolent Dictator For Life (BDFL). You can get in touch with a Python Development company who can help you develop web application within allocated budgets and time schedules.

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