Provectus

Building Innovative Software Technology Solutions

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About Provectus
We are a Palo-Alto-based premium software development service provider with delivery centers across Eastern Europe. We focus on developing top-notch: mobile and web applications Uber for X and on-demand apps Magento and Hybris based eCommerce solutions UI/UX webs...
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$50 - $99/hr
250 - 999
2010
United States, Bulgaria
Provectus
Building Innovative Software Technology Solutions
0.00/5 (0 Reviews)
6 Questions
The increasing use of iOS devices across the globe has compelled app developers to build iOS apps to meet user expectations. At Openxcell, the expert and tech-savvy programmers have created a plethora of robust iOS apps for multiple categories. If you want to build a native application for iOS, you should have a look at the following mobile app technology stack based on programming languages, toolkit, and software development kit(SDK). iOS platform has always been the first pick for premium mobile app developers as it provides excellent App Profitability and App Development Environment.   Openxcell majorly focuses on Swift and Objective C as their programming language.     Programming Languages   1. Swift   The majority of iOS app developers consider Swift as the most popular iOS native app programming language. Swift is a multi-purpose, multi-paradigm, accumulated programming language developed by Apple Inc. for iOS, macOS, watchOS, tvOS, and Linux OS.     Swift language simplifies the development process of iOS apps. This programming language delivers apps that are prominent in enhanced code reusability, security, readability, and provide best-in-class performance.   2. Objective C   Objective-C is an all-in-one, object-oriented programming language that supersets C language and provides a dynamic runtime environment.     It was one of the most common iOS app development languages before Swift had taken the driving seat. However, many large enterprise mobile apps continue to run on Objective C language.   Swift is widely used and most recommended amongst the two. This language is functional and provides inline support for manipulating text strings and data, which helps in delivering less error-prone code. Additionally, Swift also comprises of dynamic libraries that are directly uploaded to memory. These libraries are created by cutting down on the initial size of the app, which ultimately accelerates the app performance.     Toolkit   There are mainly two toolsets used for iOS apps development.     1. Xcode   Apple Xcode is only accessible if you choose Swift for developing your native app. This toolkit provides a full-featured development environment that enables its users to create mobile apps and desktop applications. Xcode encompasses integrated support for Git repositories, a graphical editor to design user interfaces, instrumentation & debugging tools, and integrated documentation. This development tool is believed to be the official IDE of Apple Inc. that helps to create and publish native and gaming apps to the Apple Store. Xcode also supports the development of Mac OS, iOS, watch OS, and tv OS apps.     2. AppCode   AppCode is an integrated development platform for Swift, Objective-C, C, C++, and JavaScript created on Jet Brains’ IntelliJ IDEA space. It is a substitute for Xcode, which has started to gain popularity in the market lately. AppCode offers faster coding and supports various languages, including C, C++, and JavaScript, compared to Xcode.     Though AppCode supports most of the programming languages, it cannot compete with Xcode’s Interface Builder, which helps to design interfaces without writing a line of codes. Hence you could opt for the best toolkit according to your requirement of functionalities.     Software Development Kit: iOS SDK   The iOS Software Development Kit comprises an application programming interface that functions as a connecting link between software apps and the platform they run on. APIs can be created in multiple ways and includes important programming libraries and other tools. The iPhone SDK sets out mechanisms for Apple’s touchscreen interface and its proprietary iOS operating system. This system is used to run Apple’s iPhone as well as the iPad.     Mobile app development technologies are growing at an enormous pace. Selecting the right mobile app technology is a crucial ingredient in building a highly functional iPhone app. OpenXcell has completed more than 150 iPhone app development projects to date, whereas the team is currently working on more than 50 projects.
The increasing use of iOS devices across the globe has compelled app developers to build iOS apps to meet user expectations. At Openxcell, the expert and tech-savvy programmers have created a plethora of robust iOS apps for multiple categories. If you want to build a native application for iOS, you should have a look at the following mobile app technology stack based on programming languages, toolkit, and software development kit(SDK). iOS platform has always been the first pick for premium mobile app developers as it provides excellent App Profitability and App Development Environment.   Openxcell majorly focuses on Swift and Objective C as their programming language.     Programming Languages   1. Swift   The majority of iOS app developers consider Swift as the most popular iOS native app programming language. Swift is a multi-purpose, multi-paradigm, accumulated programming language developed by Apple Inc. for iOS, macOS, watchOS, tvOS, and Linux OS.     Swift language simplifies the development process of iOS apps. This programming language delivers apps that are prominent in enhanced code reusability, security, readability, and provide best-in-class performance.   2. Objective C   Objective-C is an all-in-one, object-oriented programming language that supersets C language and provides a dynamic runtime environment.     It was one of the most common iOS app development languages before Swift had taken the driving seat. However, many large enterprise mobile apps continue to run on Objective C language.   Swift is widely used and most recommended amongst the two. This language is functional and provides inline support for manipulating text strings and data, which helps in delivering less error-prone code. Additionally, Swift also comprises of dynamic libraries that are directly uploaded to memory. These libraries are created by cutting down on the initial size of the app, which ultimately accelerates the app performance.     Toolkit   There are mainly two toolsets used for iOS apps development.     1. Xcode   Apple Xcode is only accessible if you choose Swift for developing your native app. This toolkit provides a full-featured development environment that enables its users to create mobile apps and desktop applications. Xcode encompasses integrated support for Git repositories, a graphical editor to design user interfaces, instrumentation & debugging tools, and integrated documentation. This development tool is believed to be the official IDE of Apple Inc. that helps to create and publish native and gaming apps to the Apple Store. Xcode also supports the development of Mac OS, iOS, watch OS, and tv OS apps.     2. AppCode   AppCode is an integrated development platform for Swift, Objective-C, C, C++, and JavaScript created on Jet Brains’ IntelliJ IDEA space. It is a substitute for Xcode, which has started to gain popularity in the market lately. AppCode offers faster coding and supports various languages, including C, C++, and JavaScript, compared to Xcode.     Though AppCode supports most of the programming languages, it cannot compete with Xcode’s Interface Builder, which helps to design interfaces without writing a line of codes. Hence you could opt for the best toolkit according to your requirement of functionalities.     Software Development Kit: iOS SDK   The iOS Software Development Kit comprises an application programming interface that functions as a connecting link between software apps and the platform they run on. APIs can be created in multiple ways and includes important programming libraries and other tools. The iPhone SDK sets out mechanisms for Apple’s touchscreen interface and its proprietary iOS operating system. This system is used to run Apple’s iPhone as well as the iPad.     Mobile app development technologies are growing at an enormous pace. Selecting the right mobile app technology is a crucial ingredient in building a highly functional iPhone app. OpenXcell has completed more than 150 iPhone app development projects to date, whereas the team is currently working on more than 50 projects.

The increasing use of iOS devices across the globe has compelled app developers to build iOS apps to meet user expectations. At Openxcell, the expert and tech-savvy programmers have created a plethora of robust iOS apps for multiple categories. If you want to build a native application for iOS, you should have a look at the following mobile app technology stack based on programming languages, toolkit, and software development kit(SDK). iOS platform has always been the first pick for premium mobile app developers as it provides excellent App Profitability and App Development Environment.  

Openxcell majorly focuses on Swift and Objective C as their programming language.    

Programming Languages  

1. Swift  

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The majority of iOS app developers consider Swift as the most popular iOS native app programming language. Swift is a multi-purpose, multi-paradigm, accumulated programming language developed by Apple Inc. for iOS, macOS, watchOS, tvOS, and Linux OS.    

Swift language simplifies the development process of iOS apps. This programming language delivers apps that are prominent in enhanced code reusability, security, readability, and provide best-in-class performance.  

2. Objective C  

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Objective-C is an all-in-one, object-oriented programming language that supersets C language and provides a dynamic runtime environment.    

It was one of the most common iOS app development languages before Swift had taken the driving seat. However, many large enterprise mobile apps continue to run on Objective C language. 

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 Swift is widely used and most recommended amongst the two. This language is functional and provides inline support for manipulating text strings and data, which helps in delivering less error-prone code. Additionally, Swift also comprises of dynamic libraries that are directly uploaded to memory. These libraries are created by cutting down on the initial size of the app, which ultimately accelerates the app performance.    

Toolkit  

There are mainly two toolsets used for iOS apps development.    

1. Xcode  

Apple Xcode is only accessible if you choose Swift for developing your native app. This toolkit provides a full-featured development environment that enables its users to create mobile apps and desktop applications. Xcode encompasses integrated support for Git repositories, a graphical editor to design user interfaces, instrumentation & debugging tools, and integrated documentation. This development tool is believed to be the official IDE of Apple Inc. that helps to create and publish native and gaming apps to the Apple Store. Xcode also supports the development of Mac OS, iOS, watch OS, and tv OS apps.    

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2. AppCode  

AppCode is an integrated development platform for Swift, Objective-C, C, C++, and JavaScript created on Jet Brains’ IntelliJ IDEA space. It is a substitute for Xcode, which has started to gain popularity in the market lately. AppCode offers faster coding and supports various languages, including C, C++, and JavaScript, compared to Xcode.    

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Though AppCode supports most of the programming languages, it cannot compete with Xcode’s Interface Builder, which helps to design interfaces without writing a line of codes. Hence you could opt for the best toolkit according to your requirement of functionalities.    

Software Development Kit: iOS SDK  

The iOS Software Development Kit comprises an application programming interface that functions as a connecting link between software apps and the platform they run on. APIs can be created in multiple ways and includes important programming libraries and other tools. The iPhone SDK sets out mechanisms for Apple’s touchscreen interface and its proprietary iOS operating system. This system is used to run Apple’s iPhone as well as the iPad.    

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Mobile app development technologies are growing at an enormous pace. Selecting the right mobile app technology is a crucial ingredient in building a highly functional iPhone app. OpenXcell has completed more than 150 iPhone app development projects to date, whereas the team is currently working on more than 50 projects.

Today, outsourcing is not just mean for the IT industry; it has already spread to various industrial sectors. It basically involves third-party companies or individuals to cooperate in your business in developing a product. IT is the most frequently mentioned industry, where outsourcing is majorly practiced. Most companies outsource their IT projects from a similar or lower level firms to cut costs and outsourced specialists provide you with high-quality services, essential skills, knowledge, and security. However, here are some indisputable benefits of outsourcing IT projects:# It helps in increasing your company’s in-house efficiency and make your employees save some time.# Outsourcing from another company help your employees gain new skills by adopting a new organizational culture and frameworks. # Outsourcing services from a third-party company enables your employees to focus on core business activities. # Outsourcing IT projects quickly reduces cost on hiring new employees and assures your firm’s financial flexibility. # It advantages your business competitively by outsourcing IT projects, gaining new tools and technologies, and winning the market competition. # IT outsourcing helps in avoiding any software development risks by collaborating with a partner and let others contribute to solving your problems. # Outsourcing IT projects bring you to get greater flexibility with the ability to adapt to unforeseen problems quickly. # IT outsourcing leads you to acquire security measures with your partner firm when your company is not specialized in a particular area of safety and security. It could ultimately save you from hackers. To sum up, there are ample benefits to outsource your IT projects from a responsible and appropriate outsourcing partner. The only thing is to choose your partner wisely and with utmost care. 
Today, outsourcing is not just mean for the IT industry; it has already spread to various industrial sectors. It basically involves third-party companies or individuals to cooperate in your business in developing a product. IT is the most frequently mentioned industry, where outsourcing is majorly practiced. Most companies outsource their IT projects from a similar or lower level firms to cut costs and outsourced specialists provide you with high-quality services, essential skills, knowledge, and security. However, here are some indisputable benefits of outsourcing IT projects:# It helps in increasing your company’s in-house efficiency and make your employees save some time.# Outsourcing from another company help your employees gain new skills by adopting a new organizational culture and frameworks. # Outsourcing services from a third-party company enables your employees to focus on core business activities. # Outsourcing IT projects quickly reduces cost on hiring new employees and assures your firm’s financial flexibility. # It advantages your business competitively by outsourcing IT projects, gaining new tools and technologies, and winning the market competition. # IT outsourcing helps in avoiding any software development risks by collaborating with a partner and let others contribute to solving your problems. # Outsourcing IT projects bring you to get greater flexibility with the ability to adapt to unforeseen problems quickly. # IT outsourcing leads you to acquire security measures with your partner firm when your company is not specialized in a particular area of safety and security. It could ultimately save you from hackers. To sum up, there are ample benefits to outsource your IT projects from a responsible and appropriate outsourcing partner. The only thing is to choose your partner wisely and with utmost care. 

Today, outsourcing is not just mean for the IT industry; it has already spread to various industrial sectors. It basically involves third-party companies or individuals to cooperate in your business in developing a product. 

IT is the most frequently mentioned industry, where outsourcing is majorly practiced. Most companies outsource their IT projects from a similar or lower level firms to cut costs and outsourced specialists provide you with high-quality services, essential skills, knowledge, and security. However, here are some indisputable benefits of outsourcing IT projects:

# It helps in increasing your company’s in-house efficiency and make your employees save some time.

# Outsourcing from another company help your employees gain new skills by adopting a new organizational culture and frameworks. 

# Outsourcing services from a third-party company enables your employees to focus on core business activities. 

# Outsourcing IT projects quickly reduces cost on hiring new employees and assures your firm’s financial flexibility. 

# It advantages your business competitively by outsourcing IT projects, gaining new tools and technologies, and winning the market competition. 

# IT outsourcing helps in avoiding any software development risks by collaborating with a partner and let others contribute to solving your problems. 

# Outsourcing IT projects bring you to get greater flexibility with the ability to adapt to unforeseen problems quickly. 

# IT outsourcing leads you to acquire security measures with your partner firm when your company is not specialized in a particular area of safety and security. It could ultimately save you from hackers. 

To sum up, there are ample benefits to outsource your IT projects from a responsible and appropriate outsourcing partner. The only thing is to choose your partner wisely and with utmost care. 

OpenXcell is one of the leading companies that deliver high performance and scalable mobile apps in Android and iOS to businesses of almost all sizes. The company encompasses of skilled, experienced, and tech-savvy developers. As per the Openxcell developers, some of the most crucial parameters to be considered during mobile app development projects are:  IDEA TESTING  Before starting with a mobile development project, the most critical thing to focus on is the idea of your app. Your app should be such that in some way or the other it solves problems faced by people. The concept of the app should be such that it proves to be a solution to some challenging issues of the public in general. Newbie entrepreneurs also need to consider the fact that the app idea should be innovative and not taken up before. Proper research should be done to find the come up with unique app ideas.  AUDIENCE CENTRIC APPROACH  Entrepreneurs are coming up with new ideas and advancements in app development technology almost every day. So, simply having an excellent ‘Idea’ will not make your app successful, but the audience who gets to access your app will make it a success. A general mistake that most of the appreneurs make is that they create their app with the task-centric approach rather than the audience-centric approach. If you want users to download your app, then you have to be specific in your offerings. Proper research needs to be carried out to get an overall view of your users during the development process. The planning process of app development must analyze the target audience and the app should be designed as per their preferences.  PLATFORM BASED PERFORMANCE OF THE APP  The mobile platform is one of the most prominent factors to focus on during the mobile app development project. Android and iOS are still the most popular operating systems on which the mobile apps run. The apps that run on iOS are based on Swift or Objective-C, while Android apps are developed with Java or Kotlin. Long story short, if you want to develop a native mobile app for a specific platform, you have to use a language that is natively supported by that platform.  The technological advancements have given rise to Hybrid apps that function on the cross-platform framework such as Ionic, Xamarin, and more. Though both Native and Hybrid apps have some advantages and disadvantages.  SPEEDY DATABASE  When it comes to the performance of the app, the vital parameter that needs to be considered is the database. There are high chances that if the application crashes or freezes multiple times the users will uninstall it. The following important factors should be considered while selecting a database for your app:   Structure of the data  Size of data for the storage  Speed and expandability  Easily accessible data  Data safety and security   PAYMENT GATEWAYS  E-commerce and apps have become more and more sophisticated over time, and mail delivery operatives have become slow on the uptake. A large number of developers have started integrating payment gateways into their applications. Payment gateways enable customers to quickly pay for various goods and services, along with the option to book tickets, pay bills, and a lot more, right there from within the app itself. Proper attention must be paid to payment gateway implementation as that can accelerate the sales of your business to unmatched levels.  APP SECURITY  Security in apps has been an actively debated topic, with a good reason for a longer duration now. Users tend to keep a lot of information related to bank accounts and passwords on their mobile phones in the current era. This storage of information may sometimes lead to the issue of data protection and security. Hence, apps should be built safely and securely as it will affect the users private information thereby ruining the reputation of the appreneur.  APP DESIGN  Original and precise app design is the most crucial aspect of a mobile app development project. Captivating mobile app design is capable of enlarging and engaging your audience at pace.  Some of the most critical parameters to be considered for creating an intuitive design are explained below:   Always make sure that your content is your interface. Make efforts to get rid of unnecessary elements that do not support the user’s tasks. These reduced distractions enable users to focus on their desired content.  Provide a user-friendly experience by utilizing a single input field as much as possible. When you create more than one domain, users find it difficult to switch between different input modes, which will probably lead them to abandon your application. All the forms that split data into multiple fields create a terrible user experience.  Try to ignore the overuse of push notifications as they can lead people to uninstall your app.   FUTURISTIC APP DEVELOPMENT  App developers should always plan the app development process in a manner that the application brings profit in the long run. The growth of the functionality of an app somewhere depends on the time in which the profits start overflowing. In today’s highly competitive world of app marketing, even prominent apps require some relentless marketing efforts behind it. Cross-platform app development platforms prove to be the best cost-saving solution as it saves a lot of capital and enables the app for early market entry with an MVP(Minimum Viable Product). Likewise, choosing the right tech stack is also an essential factor that helps in providing expandability of your app when it starts growing exponentially.  MONETIZATION PROCESSES  Consider some of the below-mentioned options for monetizing your app:   In-App advertising  In-App purchases  Paid app download   Apart from the above-mentioned ones, there are several other ways also for monetizing apps.  There’s a widespread misapprehension that a mobile app can be created once and deployed forever. That’s not how it works. If your app effectively works today, it doesn’t mean that it would remain so always. The requirements for apps keeps on changing with time.  Hence, Openxcell pays equal attention to App support & maintenance as its development.  There are even more parameters to focus on during your app development projects. Consideration of the parameters mentioned above will lead to a simple mobile app development project.
OpenXcell is one of the leading companies that deliver high performance and scalable mobile apps in Android and iOS to businesses of almost all sizes. The company encompasses of skilled, experienced, and tech-savvy developers. As per the Openxcell developers, some of the most crucial parameters to be considered during mobile app development projects are:  IDEA TESTING  Before starting with a mobile development project, the most critical thing to focus on is the idea of your app. Your app should be such that in some way or the other it solves problems faced by people. The concept of the app should be such that it proves to be a solution to some challenging issues of the public in general. Newbie entrepreneurs also need to consider the fact that the app idea should be innovative and not taken up before. Proper research should be done to find the come up with unique app ideas.  AUDIENCE CENTRIC APPROACH  Entrepreneurs are coming up with new ideas and advancements in app development technology almost every day. So, simply having an excellent ‘Idea’ will not make your app successful, but the audience who gets to access your app will make it a success. A general mistake that most of the appreneurs make is that they create their app with the task-centric approach rather than the audience-centric approach. If you want users to download your app, then you have to be specific in your offerings. Proper research needs to be carried out to get an overall view of your users during the development process. The planning process of app development must analyze the target audience and the app should be designed as per their preferences.  PLATFORM BASED PERFORMANCE OF THE APP  The mobile platform is one of the most prominent factors to focus on during the mobile app development project. Android and iOS are still the most popular operating systems on which the mobile apps run. The apps that run on iOS are based on Swift or Objective-C, while Android apps are developed with Java or Kotlin. Long story short, if you want to develop a native mobile app for a specific platform, you have to use a language that is natively supported by that platform.  The technological advancements have given rise to Hybrid apps that function on the cross-platform framework such as Ionic, Xamarin, and more. Though both Native and Hybrid apps have some advantages and disadvantages.  SPEEDY DATABASE  When it comes to the performance of the app, the vital parameter that needs to be considered is the database. There are high chances that if the application crashes or freezes multiple times the users will uninstall it. The following important factors should be considered while selecting a database for your app:   Structure of the data  Size of data for the storage  Speed and expandability  Easily accessible data  Data safety and security   PAYMENT GATEWAYS  E-commerce and apps have become more and more sophisticated over time, and mail delivery operatives have become slow on the uptake. A large number of developers have started integrating payment gateways into their applications. Payment gateways enable customers to quickly pay for various goods and services, along with the option to book tickets, pay bills, and a lot more, right there from within the app itself. Proper attention must be paid to payment gateway implementation as that can accelerate the sales of your business to unmatched levels.  APP SECURITY  Security in apps has been an actively debated topic, with a good reason for a longer duration now. Users tend to keep a lot of information related to bank accounts and passwords on their mobile phones in the current era. This storage of information may sometimes lead to the issue of data protection and security. Hence, apps should be built safely and securely as it will affect the users private information thereby ruining the reputation of the appreneur.  APP DESIGN  Original and precise app design is the most crucial aspect of a mobile app development project. Captivating mobile app design is capable of enlarging and engaging your audience at pace.  Some of the most critical parameters to be considered for creating an intuitive design are explained below:   Always make sure that your content is your interface. Make efforts to get rid of unnecessary elements that do not support the user’s tasks. These reduced distractions enable users to focus on their desired content.  Provide a user-friendly experience by utilizing a single input field as much as possible. When you create more than one domain, users find it difficult to switch between different input modes, which will probably lead them to abandon your application. All the forms that split data into multiple fields create a terrible user experience.  Try to ignore the overuse of push notifications as they can lead people to uninstall your app.   FUTURISTIC APP DEVELOPMENT  App developers should always plan the app development process in a manner that the application brings profit in the long run. The growth of the functionality of an app somewhere depends on the time in which the profits start overflowing. In today’s highly competitive world of app marketing, even prominent apps require some relentless marketing efforts behind it. Cross-platform app development platforms prove to be the best cost-saving solution as it saves a lot of capital and enables the app for early market entry with an MVP(Minimum Viable Product). Likewise, choosing the right tech stack is also an essential factor that helps in providing expandability of your app when it starts growing exponentially.  MONETIZATION PROCESSES  Consider some of the below-mentioned options for monetizing your app:   In-App advertising  In-App purchases  Paid app download   Apart from the above-mentioned ones, there are several other ways also for monetizing apps.  There’s a widespread misapprehension that a mobile app can be created once and deployed forever. That’s not how it works. If your app effectively works today, it doesn’t mean that it would remain so always. The requirements for apps keeps on changing with time.  Hence, Openxcell pays equal attention to App support & maintenance as its development.  There are even more parameters to focus on during your app development projects. Consideration of the parameters mentioned above will lead to a simple mobile app development project.

OpenXcell is one of the leading companies that deliver high performance and scalable mobile apps in Android and iOS to businesses of almost all sizes. The company encompasses of skilled, experienced, and tech-savvy developers. As per the Openxcell developers, some of the most crucial parameters to be considered during mobile app development projects are: 

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IDEA TESTING 

Before starting with a mobile development project, the most critical thing to focus on is the idea of your app. Your app should be such that in some way or the other it solves problems faced by people. The concept of the app should be such that it proves to be a solution to some challenging issues of the public in general. Newbie entrepreneurs also need to consider the fact that the app idea should be innovative and not taken up before. Proper research should be done to find the come up with unique app ideas. 

AUDIENCE CENTRIC APPROACH 

Entrepreneurs are coming up with new ideas and advancements in app development technology almost every day. So, simply having an excellent ‘Idea’ will not make your app successful, but the audience who gets to access your app will make it a success. A general mistake that most of the appreneurs make is that they create their app with the task-centric approach rather than the audience-centric approach. If you want users to download your app, then you have to be specific in your offerings. Proper research needs to be carried out to get an overall view of your users during the development process. The planning process of app development must analyze the target audience and the app should be designed as per their preferences. 

PLATFORM BASED PERFORMANCE OF THE APP 

The mobile platform is one of the most prominent factors to focus on during the mobile app development project. Android and iOS are still the most popular operating systems on which the mobile apps run. The apps that run on iOS are based on Swift or Objective-C, while Android apps are developed with Java or Kotlin. Long story short, if you want to develop a native mobile app for a specific platform, you have to use a language that is natively supported by that platform. 

The technological advancements have given rise to Hybrid apps that function on the cross-platform framework such as Ionic, Xamarin, and more. Though both Native and Hybrid apps have some advantages and disadvantages. 

SPEEDY DATABASE 

When it comes to the performance of the app, the vital parameter that needs to be considered is the database. There are high chances that if the application crashes or freezes multiple times the users will uninstall it. The following important factors should be considered while selecting a database for your app:  

  • Structure of the data 
  • Size of data for the storage 
  • Speed and expandability 
  • Easily accessible data 
  • Data safety and security  

PAYMENT GATEWAYS 

E-commerce and apps have become more and more sophisticated over time, and mail delivery operatives have become slow on the uptake. A large number of developers have started integrating payment gateways into their applications. Payment gateways enable customers to quickly pay for various goods and services, along with the option to book tickets, pay bills, and a lot more, right there from within the app itself. Proper attention must be paid to payment gateway implementation as that can accelerate the sales of your business to unmatched levels. 

APP SECURITY 

Security in apps has been an actively debated topic, with a good reason for a longer duration now. Users tend to keep a lot of information related to bank accounts and passwords on their mobile phones in the current era. This storage of information may sometimes lead to the issue of data protection and security. Hence, apps should be built safely and securely as it will affect the users private information thereby ruining the reputation of the appreneur. 

APP DESIGN 

Original and precise app design is the most crucial aspect of a mobile app development project. Captivating mobile app design is capable of enlarging and engaging your audience at pace. 

Some of the most critical parameters to be considered for creating an intuitive design are explained below:  

  • Always make sure that your content is your interface. Make efforts to get rid of unnecessary elements that do not support the user’s tasks. These reduced distractions enable users to focus on their desired content. 
  • Provide a user-friendly experience by utilizing a single input field as much as possible. When you create more than one domain, users find it difficult to switch between different input modes, which will probably lead them to abandon your application. All the forms that split data into multiple fields create a terrible user experience. 
  • Try to ignore the overuse of push notifications as they can lead people to uninstall your app.  

FUTURISTIC APP DEVELOPMENT 

App developers should always plan the app development process in a manner that the application brings profit in the long run. The growth of the functionality of an app somewhere depends on the time in which the profits start overflowing. In today’s highly competitive world of app marketing, even prominent apps require some relentless marketing efforts behind it. Cross-platform app development platforms prove to be the best cost-saving solution as it saves a lot of capital and enables the app for early market entry with an MVP(Minimum Viable Product). Likewise, choosing the right tech stack is also an essential factor that helps in providing expandability of your app when it starts growing exponentially. 

MONETIZATION PROCESSES 

Consider some of the below-mentioned options for monetizing your app:  

  • In-App advertising 
  • In-App purchases 
  • Paid app download  

Apart from the above-mentioned ones, there are several other ways also for monetizing apps. 

There’s a widespread misapprehension that a mobile app can be created once and deployed forever. That’s not how it works. If your app effectively works today, it doesn’t mean that it would remain so always. The requirements for apps keeps on changing with time. 

Hence, Openxcell pays equal attention to App support & maintenance as its development. 

There are even more parameters to focus on during your app development projects. Consideration of the parameters mentioned above will lead to a simple mobile app development project.

If you ask any programming wizard the secret to skilled programming, I can assure he will respond with this “ I am not a great programmer; I am just a good programmer with great habits.” It means writing clean code with minimum complexity. It applies to any software programs regardless of what technology the program is developed.Machine learning and data science involve applying some most complex logic.  For some programmers, it is still a puzzle to envisage simple coding structure and machine learning on the same page. However, with best practice, the code complexity in machine learning and data science projects can be minimized.  Ways to reduce code complexity in machine learning and data science projects1)  Implement clean code practiceThere is a well-known phrase among programmers “we will read more code than we will ever write”. Cluttered code makes it difficult to understand and modify. One common issue is keeping “dead code”  in the codebase. Removing dead code gives a clear visual of your code. Try to avoid print statements (even glorified print statements such as head(),df.describe(), df.plot() should be avoided).2)  Variable namesIn software programming, it is a bad practice to embed information about variable types in the variable name. One common problem in data science code is data frames (df). Every data frame is named as df. The good programming practice says, don’t force the reader of your code to translate what the variable means. Instead, try to use a naming convention that is easy to understand. See the example below, with Pandas Python library, the code is written in much human-readable form ( Code 2), and it gives a better idea about what the code is about compared to code 1. ( image source: towardsdatascience)Code (the same above code) declared with a name instead of “df”.  If you compare the above code with the below code, you can quickly figure out which one is easy to understand. ( image source: towardsdatascience)3)  Use functions to simplify code Function simplifies the code usage.  If ‘function” is declared wisely, then programmers don’t have to read each line or search the internet for things that they don’t understand.  Also, to repeat the same transformation on any column, a single line of code would do the job instead of writing lines and lines of code. 4)  Take code out of Jupyter notebooksJupyter notebooks are great for quick prototyping. This is where developer — glue code, , glorified print statements (df.describe() or df.plot()), print statements, unused import statements and even stack traces. But it can make things more complicated as everything gets accumulated in one place. So, whenever a single line of code is changed, the entire notebook has to re-run. It means the longer the notebooks become, the harder it is to get feedback on whether our changes are working. The alternate way is to extract code into functions and Python modules, and have unit tests. With unit tests, the test runner can give feedback on the changes in a matter of seconds, even when there are hundreds of functions.5)  Adopt a test-driven development approachUnlike traditional software development, in test-driven development, you write a test for your code first, make sure it fails, and then create enough code to pass the test.  It means you are only focussed on passing the actual test and not writing code that is intended to pass all possible tests in the future. Once the developer has the code that passes the test, they can clean up the code, remove any duplication, apply good coding style rules, and add documentation. The TDD approach yields short cycles of fail-pass iterations. In the above points, we have mentioned the importance of functions, and the TDD cycle enables the programmer to write functions in small modules.6)  Make small and frequent commitsThe whole development process can greatly benefit from small and frequent commits. Often large changes in code can be difficult to review and takes a significant amount of energy. With small commits, the reviewer can detect early whenever a developer is going in the wrong direction. It also helps to reduce visual distractions and cognitive load.
If you ask any programming wizard the secret to skilled programming, I can assure he will respond with this “ I am not a great programmer; I am just a good programmer with great habits.” It means writing clean code with minimum complexity. It applies to any software programs regardless of what technology the program is developed.Machine learning and data science involve applying some most complex logic.  For some programmers, it is still a puzzle to envisage simple coding structure and machine learning on the same page. However, with best practice, the code complexity in machine learning and data science projects can be minimized.  Ways to reduce code complexity in machine learning and data science projects1)  Implement clean code practiceThere is a well-known phrase among programmers “we will read more code than we will ever write”. Cluttered code makes it difficult to understand and modify. One common issue is keeping “dead code”  in the codebase. Removing dead code gives a clear visual of your code. Try to avoid print statements (even glorified print statements such as head(),df.describe(), df.plot() should be avoided).2)  Variable namesIn software programming, it is a bad practice to embed information about variable types in the variable name. One common problem in data science code is data frames (df). Every data frame is named as df. The good programming practice says, don’t force the reader of your code to translate what the variable means. Instead, try to use a naming convention that is easy to understand. See the example below, with Pandas Python library, the code is written in much human-readable form ( Code 2), and it gives a better idea about what the code is about compared to code 1. ( image source: towardsdatascience)Code (the same above code) declared with a name instead of “df”.  If you compare the above code with the below code, you can quickly figure out which one is easy to understand. ( image source: towardsdatascience)3)  Use functions to simplify code Function simplifies the code usage.  If ‘function” is declared wisely, then programmers don’t have to read each line or search the internet for things that they don’t understand.  Also, to repeat the same transformation on any column, a single line of code would do the job instead of writing lines and lines of code. 4)  Take code out of Jupyter notebooksJupyter notebooks are great for quick prototyping. This is where developer — glue code, , glorified print statements (df.describe() or df.plot()), print statements, unused import statements and even stack traces. But it can make things more complicated as everything gets accumulated in one place. So, whenever a single line of code is changed, the entire notebook has to re-run. It means the longer the notebooks become, the harder it is to get feedback on whether our changes are working. The alternate way is to extract code into functions and Python modules, and have unit tests. With unit tests, the test runner can give feedback on the changes in a matter of seconds, even when there are hundreds of functions.5)  Adopt a test-driven development approachUnlike traditional software development, in test-driven development, you write a test for your code first, make sure it fails, and then create enough code to pass the test.  It means you are only focussed on passing the actual test and not writing code that is intended to pass all possible tests in the future. Once the developer has the code that passes the test, they can clean up the code, remove any duplication, apply good coding style rules, and add documentation. The TDD approach yields short cycles of fail-pass iterations. In the above points, we have mentioned the importance of functions, and the TDD cycle enables the programmer to write functions in small modules.6)  Make small and frequent commitsThe whole development process can greatly benefit from small and frequent commits. Often large changes in code can be difficult to review and takes a significant amount of energy. With small commits, the reviewer can detect early whenever a developer is going in the wrong direction. It also helps to reduce visual distractions and cognitive load.

If you ask any programming wizard the secret to skilled programming, I can assure he will respond with this “ I am not a great programmer; I am just a good programmer with great habits.” It means writing clean code with minimum complexity. It applies to any software programs regardless of what technology the program is developed.

Machine learning and data science involve applying some most complex logic.  For some programmers, it is still a puzzle to envisage simple coding structure and machine learning on the same page. However, with best practice, the code complexity in machine learning and data science projects can be minimized. 

 

Ways to reduce code complexity in machine learning and data science projects

1)  Implement clean code practice

There is a well-known phrase among programmers “we will read more code than we will ever write”. Cluttered code makes it difficult to understand and modify. One common issue is keeping “dead code”  in the codebase. Removing dead code gives a clear visual of your code. Try to avoid print statements (even glorified print statements such as head(),df.describe(), df.plot() should be avoided).

2)  Variable names

In software programming, it is a bad practice to embed information about variable types in the variable name. One common problem in data science code is data frames (df). Every data frame is named as df. The good programming practice says, don’t force the reader of your code to translate what the variable means. Instead, try to use a naming convention that is easy to understand. See the example below, with Pandas Python library, the code is written in much human-readable form ( Code 2), and it gives a better idea about what the code is about compared to code 1.

 

( image source: towardsdatascience)

Code (the same above code) declared with a name instead of “df”.  If you compare the above code with the below code, you can quickly figure out which one is easy to understand.

 

( image source: towardsdatascience)

3)  Use functions to simplify code 

Function simplifies the code usage.  If ‘function” is declared wisely, then programmers don’t have to read each line or search the internet for things that they don’t understand.  Also, to repeat the same transformation on any column, a single line of code would do the job instead of writing lines and lines of code. 

4)  Take code out of Jupyter notebooks

Jupyter notebooks are great for quick prototyping. This is where developer — glue code, , glorified print statements (df.describe() or df.plot()), print statements, unused import statements and even stack traces. But it can make things more complicated as everything gets accumulated in one place. So, whenever a single line of code is changed, the entire notebook has to re-run. It means the longer the notebooks become, the harder it is to get feedback on whether our changes are working. The alternate way is to extract code into functions and Python modules, and have unit tests. With unit tests, the test runner can give feedback on the changes in a matter of seconds, even when there are hundreds of functions.

5)  Adopt a test-driven development approach

Unlike traditional software development, in test-driven development, you write a test for your code first, make sure it fails, and then create enough code to pass the test.  It means you are only focussed on passing the actual test and not writing code that is intended to pass all possible tests in the future. Once the developer has the code that passes the test, they can clean up the code, remove any duplication, apply good coding style rules, and add documentation. The TDD approach yields short cycles of fail-pass iterations. In the above points, we have mentioned the importance of functions, and the TDD cycle enables the programmer to write functions in small modules.

6)  Make small and frequent commits

The whole development process can greatly benefit from small and frequent commits. Often large changes in code can be difficult to review and takes a significant amount of energy. With small commits, the reviewer can detect early whenever a developer is going in the wrong direction. It also helps to reduce visual distractions and cognitive load.

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