Smartphones, supercomputers, etc are reaching new heights with the help of upgraded Artificial intelligence. You may also use such kind of technology to build mobile applications as well as web applications. With the help of different languages you may build such things, these languages include C, C++, JAVA, CSS and Python, etc. Of them, Python is the easiest and one of the fastest languages.
Python is getting common among developers. Earlier in 2019 Python was declared the leading language beating JAVA. JAVA has ruled in the market of programming for several years. But why Python was able to do that and no other language? Well, it is pretty clear that python can be used for building entire mobile app development.
If you want to build a mobile application then you are at the right place. This article includes use cases and tools for developing an application using Python. So without further ado let’s get started with it.
First of all, python is widely accepted and the same is readily usable, which helps in the faster development of any application. If you want to gain and keep market shares, time to market is an essential thing that is best for the mobile markets. On the other hand, if we talk about both the mobile operating systems i.e Android and iOS neither of them supports interpreted languages. This clearly implies that they are unable to run python applications natively.
There are various frameworks in python programming which help bridge the gap to permit python apps to run on mobile devices with a native look and feel.
You might use python when it comes to building eCommerce business applications. Tryton and Odoo are the most popular enterprises which have been built with Python programming language.
The Python programming language is simple to use and it comes with an easy-to-follow syntax that Python developers can work with on any platform. This allows businesses to use Python to develop applications effectively, thanks to the compatibility of integrating with other languages and frameworks.
For example, Pyramind and Django are specifically for creating web apps from scratch in Python. The standard Python library supports Internet protocols such as JSON, XML, and HTML which also makes it compatible with 3rd party services like Google Cloud APIs.
Also known as a Spiderbot, web crawling software is generally used for collecting (or duplicating and gathering) every page that anyone visits through any search engine. Web crawlers will in turn index the downloaded pages to deliver faster searches.
They can also be used to automate maintenance jobs on your site. Example tasks include checking links and validating HTML code. Python app development is best suited for crafting such Spiderbots due to its short, simple code and the fact that it offers excellent libraries.
When it comes to selecting an automation tool, many users tend to choose Python as it offers several libraries and tools that are able to run through application features via a text-based script rather than connecting the app in real time. By doing so, there is no need for physical access which accounts for the heightened security. So, Selenium (a web-based test automation suite) and Python (which is a popular programming language used frequently by data scientists) not only offer various tools and libraries but are also categorized as Continuous Integration (CI) and Continuous Deployment (CD) tools. Equipped with the ability to run tests as well as compile projects into executable files, after which applications can safely be deployed onto production servers.
Python is a programming language that’s ideal for mobile app developers who are looking to get into computer vision. Python possesses some powerful libraries such as PyTesseract, Python Imaging Library (PIL), and OpenCV, which help with natural language processing within mobile apps. Furthermore, TensorFlow provides mobile app developers the ability to easily create their own neural networks.
Python is a well-known programming language that has updated its interfaces by adding functionalities and integrating fewer bugs. It ranks top among other languages in the development of any kind of app. For example, Odoo (a business management software) and Tryton (an enterprise resource planning application). Both were created using Python as it lets users create robust software applications with relative ease. It is chosen to develop such IT products because it features enormous libraries of original codes, high portability, adaptability, native access to databases and good performance.
Command-line apps and console apps do the same thing: command line programs and terminal applications are computer programs utilized from the command line or a shell that doesn't hold any graphical user interface. They still work just like other executable documents, but with fewer graphics. Because of this, Python is an ideal language for developing such apps because of its Real-Eval-Print-Loop (REPL) feature. Its feature allows the developers to use the language and identify unique capabilities.
One of the emerging and widely-used technology trends is blockchain. Since it has taken over the market, a lot of developers have been taking interest in building blockchain apps. Right now, though, there is an increasing demand of Blockchain developers with an expert hand in coding with the help of the Python framework.
The reason behind this increased demand is not only because Python allows the DApp development easily but also because it offers high flexibility for developers to work independently and build complex programs for apps like Hyperledger Fabric and Ethereum DApps etc. Moreover, people are building applications on top of web technologies by using APIs provided by different providers such as Amazon Web Services or Microsoft Azure - thus making it easier for them to start working on Blockchain related projects.
Python has survived for 25 or more years to reach the top of the market and that too beats the most used language JAVA. Now that python has become the fastest growing language worldwide. There are some popular applications that have been built by Python such as Instagram, Pinterest, Spotify, Dropbox, Uber, and Reddit. Clearly, Python is the future of programming languages.