Tag Archives: Django development services

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. Continue reading Django – The web framework for perfectionists

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. Continue reading Jython – Things to know about

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.

Hire Python developers

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.

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

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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.


python developmentUsing 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.


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.