“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).
Mindfire Solutions, a 16 year old offshore software development company from India has been building quality software applications using Python. Go on take a look at the Python development projects that they have executed over the years and then decide whether you would want to hire the services of this expert software development company. If you would like the idea of outsourcing your software development part then do send in your requirements to sales at Mindfire Solutions dot com.
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).
Mindfire Solutions, a 16 year old offshore software development company from India has been building quality software applications using Python. Go on take a look at the Python development projects that they have executed over the years and then decide whether you would want to hire the services of this expert software development company. If you would like the idea of outsourcing your software development part then do send in your requirements to sales at Mindfire Solutions dot com.
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