Why Should You Upgrade to Python 3.0 ASAP?
“It’s been long and stretched since Python 3 turned up for good but many developers still doubt over the use of this major, backwards-incompatible release. The programming language shares no compatibility with Django (but, that’s not the truth) but the version definitely incorporates a wide range of useful features for developers. It has brought in some significant tweaks to its built-in objects like dictionaries and strings, no doubt. However, there are far more superior reasons for why developers should upgrade to Python 3.0 (Python 3000 or Py3k). And, they are” –
Print Function: Python 3.0 features a print function, which has basically replaced its old print statement. However, the function does not lend support to the ‘softspace’ feature of the old print statement. Meanwhile, users are enabled to customize the separator between items. Here in the latest print function, the developer needs to put "(" and ")" just like a function instead of a statement. It enables developers in handling many situations which where a night dream before like printing a range of numbers. For tyhe same, you can use Python syntax like: print(x) for x in range(10). It simplifies many complex issues without much effort and coding expertise. Simple Ordering Comparisons: The upgrade has revamped Python’s ordering comparisons, whereby __cmp__() is no longer supported and cmp() has been taken off. Users are rather provided with __lt__() for sorting. In fact, Python 3.0 no longer includes any support for the cmp argument. Here, users can use the key argument. The framework has simplified its ordering comparisons and it no longer is supportive of expressions like 1 < '', 0 > none or len <= len. Changes in Binary Data & Unicode: The system relies on the phenomenon of text and binary data (not on Unicode strings and 8-bit strings). Although all text is designed to follow Unicode, the instructed Unicode is signified as binary data. STR is the type that would hold text while bytes are the type that would be used to hold data. Also, the previous version includes quite a number of bugs that complicate the amalgamation of encoded and unencoded text. Python 3.0 (specifically) has brought text vs. data instead of Unicode vs. 8-bit. New Syntax: Python 3.0 comes equipped with a horde of syntax changes: PEP 3107 reveals function argument and return value annotations. The framework aims at persuading experimentation through decorators or meta-classes. PEP 3104 now enables users to assign straightaway to a variable in an outer scope (but by using nonlocal x). PEP 3102, whereas, denotes keyword-only arguments. PEP 3132 lets users write aspects like a, b, *rest = some_sequence and also *rest, a = stuff. Performance: Performance boost is a must with every latest version; though Python is recognized as one of the fastest technology in the industry still with Python 3.0 you will get even more. Python 3.0 steps down 10% than Python 2.5 when it gets up and runs the framework contributes to the elimination of special-casing for small integers. However, significant improvements in performance for Python 3.0 are expected in near future. While migrating to latest version, it is essential to know whether the latest version is really better or not; though the answer is always yes. Standard Library Additions: Python is highly popular in the industry due to its large size library. In fact, the punch line for Python is "Batteries included" that means there is a large volume of libraries already available and the developer need not to worry for any functionality. The certified Python developer never needs any third party tools or codes for his application because all are expected to be there inside. But, the latest version has still some additional libraries for better programming. Python 3.0 brings the possibility of displaying tracebacks (limited though), embeds a LRU cache decorator for the user’s functions, and provides an enumerated type in the standard library. The GIL has also been enhanced and not to forget, the structure now lends support to built-in return generator expressions. Many major packages landed to Python 3: This is the most attractive feature of Python 3 that no Python developer can ignore it at any cost. The world is moving around web industry. Every moment a new domain gets launched in the industry with an intention to do some excellence and get so much positive response from the users. With portable browsing devices, like smart phones and tablets, it becomes essential for every developer to put their hands efficiently over the web application development project in order to sustain in the competitive industry. Now with Python 3.0, many frameworks like numpy package for number crunching, DJango for web development and Flask, Pyramid etc are landed to industry to support Python developers in every possible manner. Moreover, if you want to develop modern web applications, smart sites then you must migrate to Python 3.x for better and quicker work done process with the help from these packages or frameworks etc. Futuristic web app development with Python 3: Web application development is at its peak now. The web applications not just need to work perfectly fine but also give better user experience too. Technologies like Asynchronous web page design, integration of AJAX, JSON or JSONP are a sure shot formula for any enterprise standard web application. Fortunately, Python 3.0 when combines with DJango or Flask, it makes the process not only easier but also funnier. Interactive web app development and smart app development including web app, native app and hybrid app can be possible with Python 3.0. So, it’s definitely a great thing for the industry to move ahead with Python 3.0 to taste the true potential of the language to relate with the ever changing demand of the industry. Other Tweaks: Agreed, Python 3.0 is incompatible with Python 2x list however, the framework offers various other positive changes including significant changes to the C API. There is Extension Module Initialization & Finalization, new buffer API, and renamed Boolean conversion C-level slot and method. The upgraded version furthermore has taken away C API support for restricted execution and for METH_OLDARGS and WITH_CYCLE_GC. First ever back-ward compatible version: Yes! You heard it correctly. Python 3.0 is the first ever Python version that enables developers to move back if he does not find it really useful for his purpose. This creates a NO Loss situation for the migration process. So, when are you migrating to Python 3.x? In case this gets you interested to use Python for your next venture, then it would do you good to hire the services of an expert Python development services provider such as Mindfire Solutions. Just send in your idea to sales at Mindfire Solutions dot com.