“Python as a high level programming language undeniably simplifies the process of code readability and syntax for users far and wide. Its design philosophy and support for multiple programming paradigms further help work both on a small and large dimension. After Google's blessing touch it has seen a tremendous growth in the industry; yet many features are hidden and you a smart Python developer must aware of them”.
1. Python’s built-in method type () is relatively a less known function which basically enables developers to check the type of object. Along with this, developers should give a try to set/frozenset (it actually integrates some highly efficient binary operators). Well, before using them the developer must be aware of their exact use and intention. Set is nothing but just a group of elements or components that we need to keep in an object in Python. Usually a set contains interrelated components or elements just like a group of city name or a group of userIDs etc. The Python developer can make many types of arithmetic operations with set() i.e. Add, delete or modify etc. On the contrary, frozenset() is immutable i.e. non-editable. If the developer wants to modify it then it will give error. But, using frozenset() in proper place can increase the performance of the application and decreases the overhead of the application.
2. The programming language provides these unique ‘namedtuple’ and ‘counter’ components from stdlib’s collection modules. These are not much used in developing web applications, but, for core Python programming, they have quite significance. Suppose you have two files with some components and you want to manipulate with their data using set feature. You can count using counter and namedtuple. The background concept is to optimize the manipulation process and nothing else. In cPython Tuple is faster whereas in PyPy namedTuple is better. Although it is not a core language function, it allows users to experiment with their tasks and reinvent the wheel (should they plan to) still as a smart developer you should possess some brief idea over these functions.
3. Often, any object built within a function breathes its last as soon as the function call comes to an end. But, Python treats functions as objects – as a result of which, if the developer defines any specific object, it will continue to exist. Yes, this is an awesome and useful feature of Python. Once you complete all your actions with an object; the object does not move to garbage rather it still exist within the application and the developer can reuse it at any moment of time without any fail. Though hardly any developer uses it; still he must be aware of this fact and should try to implement it in application if required. The best part is that, it will not hamper the speed or efficiency of your Python application in any manner.
4. Developers may not be aware of that the ever-present ‘else’ in Python can also be used with ‘try.’ This might appear useful for testing code that helps send emails without calling for any setup of an SMTP server. Also, users can commence a simple HTTP server in absolute no time and even keep a tab on which IP is accessing what on their server. It will improve the overall efficiency and speed of the application and at the same time, the developer can use it as a development debugging tool that comes in-built with the language itself.
5. How many developers are aware that you can implement imaginary numbers in Python just like i, j etc. You will be astonished to know that Python supports it! The framework even enables support for imaginary numbers, a function that most of us would not be aware of. The programming language’s imaginary numbers’ support use ‘j’ instead of ‘i.’ For example, >>> x + 3j + 6 or >>> z . imag. This is highly useful if your application is dealing with some mathematical operations that need imaginary numbers to be used in the application.
6. Python __slots__ is yet another little known feature that could be of great assistance in projects’ development. The mechanism could be used to implement a fixed set of properties for a class. Since Python’s dynamic nature may look counter-productive at times, this feature definitely helps in imposing a fixed set of properties. This prevents the misuse of any class that is highly sensitive and its data should not be modified by the developer. You can compare it with Private class concept though; but, it is more than that in real time Python application development.
7. Python is clearly a high-level language that follows aphorisms like – complex is better than complicated, explicit is better than implicit, and readability counts. The program benefits from its dynamic typing and lends support to map (), reduce (), and filter () functions as well. Its unique combination of cycle-detecting garbage collector and reference counting further add up to its usability as a programming language. All these are nothing but the performance booster for the programming language for which it has god reputation in the industry. It makes a Python application not only efficient enough but also faster and well maintainable in a single shot.
8. FLOSS seems to be the root inspiration for Python though! The platform follows the footsteps of Free and Open Source Software – owing to which, developers can without any restraints hand out copies of this software. Python even lets users freely read the software’s source code & incorporate its elements in new free programs. In simple word, Python is Open Source technology and a developer can modify its source code without any glitch as when required by the application.
9. Now I am going to discuss one of the amazing features of Python that a Python developer supposed to be unaware of. Do you know that, developers can even run their important codes quickly by writing that piece of code in C. After this all they have to do is merge that particular code with their Python. That means you can test your Python code in C platform!!
10. The free, open-source platform further helps developers steer clear of premature optimization and less-cluttered grammar as part of its philosophy that discards exuberant syntax. One can also insert Python into their C/C++ program (which helps have scripting capabilities).
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“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?
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Why UI automation for Python: UI stands for user interface which is the most important component of any software application or product. User interface is the face of any software and hence it should be attractive enough to keep the users entertained and informed by the application. Hence as a smart software developer, we must focus more on the user interface so that we can provide better user experience. In today’s arena, the importance of user interface has increased to a much higher level due to competitive environment in the industry. As a result, there are large numbers of automation UI tools are developed in the industry to help the testers in achieving better quality output. Well Python is a super powerful and superfast technology having a tremendous market demand in the industry. Testers are looking for better Python UI automation tools to produce high quality and efficient Python applications. While we are dealing with UI automation tools, we must follow some thumb rules so as to make the process not only effortless but also efficient enough. Today we will discuss those key points in two categories i.e., what we should do and what we should not for efficient UI testing.
Do’s of UI automation: Basically UI automation is a client side process i.e., our focus is to improve the client side user experience. For the same the most important thing is to collect every possible client side data through the UI tool. If we have enough information on client side, then we can manipulate those data for providing better user experience. Similarly we must acquire the information of the browsing device to provide optimum user experience. This can be achieved with information like width and height of the device, and orientation of the device etc so that we can test the application thoroughly for different scenario. Without optimisation we can’t provide better user experience. Hence we must test if every possible optimisation rules are strictly followed or not in the application. If not, we should report the same to the Python developer for improvement. Along with that, sometimes we must keep some snapshots of bugs in the application so that the developer can debug it easily. Again we should keep track of every test case that we have implemented on the application for future purpose.
Don’ts for UI Automation: As a smart automation tester, you should avoid unnecessary script running to decrease the time and effort. Similarly we should also avoid frequent running of small test scripts for the application rather we should write a compressive test case for the purpose. A smart Python UI automation tester should avoid multiple log operation in the application to avoid unnecessary time loss. Long time-outs are usually given by the tester in order to check the application thoroughly; but sometimes it becomes an inefficient process. Hence we must avoid long time-outs in our application for efficient UI testing. Many UI testers have a tendency to quit the testing tool after each and every test-case gets executed and then launching it again. This is really a bad habit and it not only takes unnecessary time but also hampers the productivity of the software firm.
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Python- Reinvented in web era: Python was conceived in 1980s and get born in 90s and reinvented in 21st century. It was highly inspired from C++ and Java. The tagline of Python is Batteries included that means it is pre loaded with all required methods, classes and modules. Probably it has the largest size of libraries in the industry. Hence, it makes the development process not only faster but also easier. Well before it get reinvented by Google, it was in a haphazard manner but it get a new look and shape by Google through its ambitious project i.e. Unladen Swallow. During this project the entire approach and internal design process get modified along with deletion of many duplicate components. This process helped the framework to perform much better than before. Anyway, though Python has the capability to develop any type of application, but it is widely used for developing enterprise standard web solutions in recent period. Web applications that need both power and speed can take the help of python developers in building industry standard web solutions. Let us see how it can help the web developers of the industry and up to which extent?
Python is superfast: Python is having a large volume of libraries and it helps the python developer in developing quick python application or web application without compromising on the quality. Moreover these libraries are highly optimised and developed by expert python developers. Hence when you used them in your web application, you will definitely get more efficiency and optimised product as the output. Well if an application is highly optimised then we can say it must be superfast and the same happens with python applications. Usually all the python applications are highly stable and superfast in nature. Hence there is a tremendous demand of python developers in the industry especially for data driven web applications.
Python is extremely secure: python is having all the necessary an important security features available for its web developers. As a smart python web developer, you can adopt any of these highly secure encryption technologies. You can implement 256 bit encryption technology in your web application to make it even more secure than before. Moreover, you can also use multi tier security steps to avoid any single loop hole in your application.
Python can handle the modern demand: Well to get success in recent period, you must adopt all modern technologies in your web application like responsive web design, cloud technology and smart phone app development etc. Fortunately, python keeps the potential to integrate all these modern amenities without much hassle. A Python web developer can integrate HTML5, CSS3 to design responsive web application that can fit to any size of screen resolution like for smart phone and tablet. Moreover, you can also integrate cloud storage on your application to give ultimate user experience.
Strong community support: There is a huge community of Python developers in the industry and they work hard for 24x7 to help others during their difficulties. So, you need not to bother for support once you choose Python as your development tool. To get maximum benefits of Python development, you may consider hiring services of a Python development company.
We provide Python application development services. If you would like to talk one of our certified Python experts, please get in touch with us at Mindfire Solutions.
Python is one of the oldest technologies of the industry. It was born in 1980s to challenge C, C++ and java. It is highly inspired by the object oriented programming approach of C++. Moreover, the code written in Python gets converted into binary codes just like C or C++ after compilation. Hence, it is extremely secure to develop industry standard software applications using Python. Anyway, due to some lack of proper branding, it could not get much success in its early phase of life. Later on, in 21st century, it was reinvented by Google under its highly ambitious project Unladen Swallow. In this project, Python was rewritten in a modern approach and hence get a new life for its developers. Now, it became more than two to three times faster than before. As a result, it enables the Python developers in developing enterprise standard software applications that are not only efficient but also super fast. Hence it received an overwhelming response from the industry in a very short span of time.
Python for super fast desktop applications: Well, due to its similarities with C++ and Java, Python also has the ability to develop enterprise standard desktop applications for different platforms like Windows, MAC etc. Moreover, the software application developed in Python is not only super fast but also highly scalable. Hence it has created lots of buzz in the industry with its unmatched quality of performance and efficiency. A Python developer can design highly safe and secure applications through different inbuilt functions and classes of the language that are extremely optimized. So the industry always treats python as one of the most powerful language for all types of software application development.
Python for web application development: 21st century can be called as the web era for the industry. In past decade, there are millions of websites being lunched in the industry. What is more? Moreover, the rate at which new web applications being launched in the industry is increasing at an exponential rate. So the industry is flooded with new and different websites and hence there is a tremendous competition among the web developers in developing modern web applications on the fly. To meet the high expectation and tough challenge of the industry, Python is ready with many web frameworks to serve the industry better. Django is one such Python web framework for quick web application development. Moreover it enables the web developers in efficient and powerful web degign.
Python for modern mobile apps: Without consideration of mobile development, we cannot conclude the importance of a giant like Python in 21st century! Recently, we have seen an overnight growth of mobile industry consisting of smart phones, tablets and phablets. Moreover, these devices are GPRS enabled or even 3G enabled. Hence these smart phones and tablets can be used for web browsing purpose. A python developer can develop web apps for different small screen size mobile browsers using modern technologies like responsive web design and others. Moreover, Python can be used in developing enterprise standard web apps, native app development as well. So we can say it is a all rounder!! To get maximum benefits of Python development, you may consider hiring services of a Python development company.
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IronPython is basically a compatible implementation of Python, the programming language for Microsoft that targets the .NET Framework as well as Mono. It provides support for a highly interactive console with full dynamic compilation. Being an excellent addition to.NET Framework, IronPython provides the developers of Python with the impressive power of.NET framework. The existing developers of .NET are also capable of using IronPython as a great scripting as well as a fast language to be used for testing, embedding and in writing a new application from a scratch. The following are some of the features of this programming language - Seamless Integration: It integrates seamlessly with rest of.NET Framework and makes all the libraries available easily to the Python programmers, at the time of maintaining compatibility with the existing Python code. Integration of Visual Studio is made available for the programmers through Python Tools for Visual Studio. Use of Python Syntax: It uses the existing Python syntax as well as the new Python libraries like the CLR which are used for making the .NET features available to the IronPython code. Open-source: It is open-source as well as free extension for commercial as well as isolated versions of the Microsoft's Visual Studio IDE. This open source project is available freely under the Apache License v2.0. GitHub being part of the Iron Languages project, stores the sources. This is entirely written in C#, although some parts of its code are generated automatically with the help of a code generator that is written in Python. Dynamic Language Runtime: This has been implemented on top of the DLR or the Dynamic Language Runtime. DLR is a library which runs on top of the Common Language Infrastructure in order to provide dynamic typing and dynamic method dispatch, for the dynamic languages amongst other things. DLR is a part of .NET Framework 4.0 and part of Mono trunk builds. This DLR is able to be used both as a library on the older CLI implementations. Common Language Infrastructure: The Common Language Infrastructure acts as a great platform that can be used to create programming languages while the DLR makes it even better in case of dynamic languages. .NET Assemblies: The assemblies one finds in .NET form the smallest unit of functional distribution. These assemblies usually correspond to a particular file with .dll file extension. It is available either in the application’s installation folder or in the Global Assembly Cach (GAC). The assemblies can be loaded by using the methods of the clr module. Interface extensibility: Interface extensibility is one of the key advantages that Python provides its users with. Its functions as another extensibility layer to various application frameworks that are written in .NET language. Integrating an IronPython interpreter is relatively simpler in an existing application framework. Once the same is in place, the downstream developers are able to use the scripts that are written in IronPython which interact with the DOT NET objects in that framework. Thereby it extends the functionality in the interface of the framework, without changing the code base of the framework. It makes an extensive use of reflection. Passed to one .NET object in a reference, the language will start importing the methods and types automatically that are available to that object. It results in a high intuitive experience while working along with the .NET objects from within the IronPython script. Silverlight: It is another feature that supports IronPython. This feature is able to be used like that of a scripting engine such as JavaScript engine in the browser. The scripts in IronPython are passed on just like the simple client-sided Javascript-scripts in <script>-tags. This makes modification of the embedded XAML markup possible. Gestalt is the technology that powers this feature. Compared to CPython, the characteristics of performance for this language, (which is actually a reference implementation of Python), is dependent on the actual benchmark that has been used. It is worse than the CPython language with respect to performance standards on majority of PyStone benchmarks however it is better in terms of other benchmarks. To get maximum benefits of Python development, you may consider hiring services of a custom Python Development company. We provide Python development services. If you would like to hire Python developers from us, we would be glad to assist you at Mindfire Solutions.
