Real-time personalization is another big achievement in the digital era. ‘Siri’, ‘Cortana’, ‘Alexa’ and ‘Google Now’ are some of the popular virtual assistants, as the first step towards the making of real-time apps. Using these applications, users can access the internet, access information and get updates via notifications.
What are Real-Time Applications?
- 1 What are Real-Time Applications?
- 1.1 Challenges:
- 1.2 Why Choose Python?
- 1.3 Python Applications are Worth Considering!
- 1.4 Advantages to Choose Python for Real-Time Applications:
- 1.4.1 1. Python is Free!
- 1.4.2 2. Compatible with Real-Time Software
- 1.4.3 3. Data Analyser
- 1.4.4 4. Automation Testing
- 1.4.5 5. Object-Oriented Language
- 1.4.6 6. Extensive Libraries
- 1.4.7 7. Device Control
- 1.4.8 8. Dynamically Typed
- 1.4.9 9. Highly Expressive Language
- 1.4.10 10. Easy to Embed
- 1.4.11 11. User-Friendly Data Structure
- 1.4.12 12. Integration Feature
- 1.4.13 13. High-Level Language
- 1.4.14 14. Portable Language
- 1.4.15 15. Interpreted Language
- 1.4.16 16. Improves Developers Productivity
- 1.4.17 17. Speed
- 1.4.18 18. Third-Party Modules
- 1.4.19 19. Simple Readability
- 1.4.20 20. Budget-Friendly Language
- 1.4.21 21. Robust Framework and Flexibility
- 1.5 Example of Real-Time Applications Developed with Python:
- 1.6 Take a Note:
Any mobile application that has the ability to share and access data in real-time across different devices, is a real-time mobile app. Chatting apps, video conferencing apps, gaming apps, IM, community storage solution and cloud apps are a few examples.
Real-time applications are helpful to increase throughput, customer service, balance inventories and reduces cost.
Whether you are building a chat app, mobile app or business app, the notifications help users to access information instantly. However, the real-time domain is wide-spread. So, you should always consider the platform and toolset, depending on the type of application. The design of the data flow and integration points are critical.
The modern real-time system often needs to be highly distributed. Moreover, mobile app developers face the challenge with consistency as it revolves around databases. The challenges of developing successful real-time applications include:
- Access to Data
- Operational efficiency
Whenever it comes to choosing the best programming platform, you should consider a few aspects. If you are not tech-savvy, it’s convenient to consult a team of dedicated offshore developers to achieve optimum results that too within the given time frame.
Selecting the right programming language defines the success of a business, so it is very important to weigh the pros and cons of the option.
So, Consider the Following Criteria:
- Community support
- Accessible framework
- Language efficiency
- Technology stack
Today, there are innumerable programming languages having their own specialties, but what makes a language unique is its features. When it comes to the development of real-time applications, there are plenty of platforms that developers can choose from: C, C##, Java, Kotlin, Angularjs, Python and the list is long.
In comparison to other programming languages, Python dominates the programming industry. It focuses on business logic rather than the basic facts of the language.
Why Choose Python?
The Python is a high-level Object Oriented Programming language that is dynamic and focussed on rapid application development. The ease of syntax and code in comparison to other programming languages like Java or C++ is noticeable.
Python is undoubtedly one of the fastest-growing languages. The libraries and support make it an obvious choice for any project regardless of the fact that it is a mobile app, web app, IoT, AI or anything else.
Python has been around for quite some time now and is one of the most popular languages today. Because of readability & efficiency, it is the favorite programming language of developers. If you are unsure whether or not you should choose Python for your project, explore the list of applications it has.
Python Applications are Worth Considering!
One of the best applications that Python has ever created is ‘Dropbox.’ This application has approximately 500 million users across the globe. All because this universal platform offers global collaboration allowing people to share, create files and documents.
Other Python created applications are Calibre, OpenStack, Ubuntu Software Center, BitTorrent, Quora, Instagram, Spotify, Instagram, YouTube & Reddit. These are only a few examples, but the list can go on and on.
For Which Type of Real-Time Applications You can Choose Python Development?
- GUI based desktop applications
- Image processing and graphic design applications
- Scientific and computational applications
- Web applications
- Business applications
- Operating system
- Language development
After applications, it is important to understand the advantages and features of using the programming language-Python, so let us move ahead.
Advantages to Choose Python for Real-Time Applications:
Python is a language that has diversified applications in the software industry. It creates games, web framework, language development, prototyping, graphic designing and more. This is one major criterion why it holds a rank above other technologies. Also, it is highly readable and simple to implement.
Well, here are the other benefits:
1. Python is Free!
Python is an open-source language. The utilization doesn’t require any kind of subscription or any kind of custom-built platform, so the desktop and laptop are compatible with this particular language.
As a matter of fact, all the Python-related tools that are necessary for Python’s coding, modules, and libraries are absolutely free. The integrated development environment inclusive of PTVS (Python Tools for Visual Studio) can be downloaded for free.
2. Compatible with Real-Time Software
Python is easy to use and for this reason, it finds its way into the real-time embedded system as the recommended programming language. The software codes are in Python and not C or C++. The majorly utilized Python version for real-time apps is MicroPython that specifically runs on microcontrollers like ARM Cortex-M3/4.
3. Data Analyser
The different freely available powerful libraries are very useful when it comes to the development of real-time applications. Python is used to receive important system data that is either stored locally or in the database for analysis.
Developers develop real-time visualization that displays important parameters and saves them for later analysis. The best thing about the analysis is that the groundwork is done well before time and the functionality drops in.
4. Automation Testing
The ability to control tools, send/receive messages from the system via Python gives an opportunity to create an automated test including regression testing. Python scripts developed sets the complete app into different states, sets configuration and tests all possibilities that the system may face with the external world.
Additionally, developers can easily detect any code changes that result in bugs or non-conformances.
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5. Object-Oriented Language
Any programming language having the ability to model the real world is object-oriented. It aims at objects while combining data and functions. On the other hand, procedure-oriented language is responsible for different functions having reusable codes. Python supports procedure-oriented, and object-oriented programming, and this is one of the most prominent features.
6. Extensive Libraries
Python has extensive libraries inclusive of the areas like string operations, Internet, web services, operating system interface, and protocols. As a matter of fact, most of the highly used programming tasks are pre-scripts, and that limits the length of the codes that are to be written in Python.
Also, there are plenty of libraries for regular expressions, documentation-generation, unit testing, web browser, threading, database, email, image manipulation, and many different functionalities.
7. Device Control
While working on the development of real-time applications, they analyze bus traffic like USB, SPI or I2C. Sometimes the analysis is only for debugging purpose but at other times there is an urgent need to control the bus analyzer and send messages to the app.
The communication tools created have user-friendly interfaces that also helps in developing scripts. Python is the only language that usually supports interface with and controls the app. Therefore, you need to hire mobile app developers that are best in business.
8. Dynamically Typed
Python is dynamically-typed. This decides the type of value at runtime and not prior. This is the reason why there is no need to specify the type of data while declaring it in real-time apps.
9. Highly Expressive Language
Python is an expressive language. Suppose there are two languages say A & B. All programs that are made in A can be made in B but there are few that can’t be made in A but can be made in B. Then, B is termed as more expressive than language A.
Python gives plenty of constructions that help to focus the solution rather than the syntax. This is one of the best features of Python.
10. Easy to Embed
Some of the Python codes can be written in other languages like C++. This allows integrating scripting capabilities in the program of other languages.
11. User-Friendly Data Structure
Python has an in-built data structure that creates a fast runtime data structure. In fact, Python gives the opportunity of dynamic high-level data typing that reduces the length of required support code.
12. Integration Feature
Python integrates the Enterprise Application Integration that helps in developing web services by invoking COM or COBRA components. Having strong control capabilities, it calls directly through C, C++, or Java with the help of Jython.
In addition to this, Python also processes XML and other markup languages as it has the ability to run on the various modern operating system via the same byte code.
13. High-Level Language
Python is a high-level language, which means that programs don’t have to remember the system architecture, nor do they have to manage memory. Well, this unique feature makes it more programmer-friendly.
14. Portable Language
If a developer writes a Python code on the Windows machine, he doesn’t have to rewrite the same to run on Mac. One code is run on multiple platforms, and there is no need to write different code for different machines. Also, this is why Python acts as a portable programming language and more and more enterprises hire Python developers to complete a project.
15. Interpreted Language
Languages like C++ or Java have to be first compiled and then run. But, in the case of Python, there is no need to compile the language. The source code converts into an immediate form called bytecode internally. So, what needs to be done is to run the Python code without thinking about linking the libraries.
In this programming language, the source code executes one line after the other and not all at the same time. This helps in seamlessly debugging the code, and interpreting is helpful while developing real-time applications.
16. Improves Developers Productivity
Having extensive library support, the object-oriented language enhances two to tenfold of programmer’s productivity with the help of different languages like Java, VB, Perl, C, C++, and C#.
Python offers process control capabilities, object-oriented design, and possess strong integration with text processing abilities. With the help of the unit testing framework, it upsurges the speed and also productivity. Also, it is a great option for building scalable multi-protocol network applications.
18. Third-Party Modules
PyPI or better known as Python package index, contains third-party modules making Python best in the interaction of the other language and platform.
19. Simple Readability
Python has an excellent readability factor and uncluttered simple-to-learn syntax that helps in utilizing the programming language. The code style guidelines, PEP 8, have a set of rules that facilitates the format of the code.
Moreover, the wide user base and active team of Python developers have become a rich internet resource bank to encourage the development and adoption of the language.
20. Budget-Friendly Language
Most of the companies that are willing to develop a product run on a budget. Python is the best option for bootstrappers and start-ups because if quick deployment and less type required for coding on different platforms.
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21. Robust Framework and Flexibility
Indeed, Python offers a great deal of flexibility to a wide variety of programming, making the development of specific applications easy. Dedicated Python developers take the help of frameworks like Django or Flask that focussed on writing the app/website, which is easy to implement.
Here are several robust Python implementations integrated with the language:
- CPython is C’s version
- Jython or Python is integrated with Java
- IronPython is compatible with .NET and C#
- PyObjc or Python written with ObjectiveC toolkits
- RubyPython (Python and Ruby)
Example of Real-Time Applications Developed with Python:
Take a Note:
Web development utilizing Python has been very popular for years, and it is for all the good reasons. Not only Python is simple but also easy to use language that favors pragmatism. Indeed, this proven technology offers a convenient option to start a new product.
Furthermore, the ability to come up with functioning prototypes at a faster rate helps in reducing the time, save money, and give optimum results.
Python is clean & consistent having various aforementioned features/benefits that not only make it one of the best languages but the most trusted one as well. Giants like Google, YouTube or Reddit, are taking advantage of the language so there is no reason why you shouldn’t.
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