300.codes

We create digital products to power your business

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About 300.codes
We create digital products to power your business.  300.codes is a software house specializing in custom software development, web & app development, product design, and digital transformation.
$25 - $49/hr
10 - 49
2018
Poland
300.codes
We create digital products to power your business
0.00/5 (0 Reviews)
8 Questions
According to App Annie, the mobile game industry is expected to generate $100 billion in revenue in 2020, up from $86 billion in 2019. Over the decade, gaming apps have evolved in terms of graphics, sound, and speed. Previously, mobile game development had a fixed plot. By that, I mean, if the gaming app was about racing, that’s all you could do on the app. However, technology today has enabled game developers to use various frameworks in order to customize characters, make squads, communicate, and so much more. Make sure that you develop a game that is hugely gripping for the user. However, the prerequisites to building a high flying gaming app begin with identifying your target audience. Consider executing market research in order to gauge your audience. Factors to consider when selecting your target audience: Area Age Gender With your target audience in mind, make a call. What kind of gaming audience do you have, and what do you want to develop for your audience? Game engines are mostly the softwares that run the game. Game engines are responsible for facilitating functionalities like graphic rendering, sound, animation, artificial intelligence, etc. Which are the most popular game engines? Let’s explore! Unity Unity is a top-rated tool developed by Unity Technologies. Using Unity enables you to create gaming apps using 2D and 3D app development features. It allows you to import files from various 3D applications such as Maya. Unity allows you to purchase a wide range of assets from their store. Has tutorials to refer to when building your gaming app. Unity facilitates support for Android as well as iOS. Unreal Engine Unreal Engine is apt for developers who are still learning. The Unreal Engine allows you to build a game even if you are not familiar with programming and languages. Endorses a user-friendly interface It allows you to test your game within the platform. Facilitates a wide range of 3D graphics to help you make your game look more visually appealing Unreal Engine supports Android and iOS applications. Corona SDK Corona SDK is a 2D game engine that primarily makes use of Lua scripting language because of which coding becomes simple. Corona SDK has a massive community for support as and when required. Corona SDK supports iOS as well as Android. The platforms marketplace makes several plugins available for you to incorporate into your gaming app.
According to App Annie, the mobile game industry is expected to generate $100 billion in revenue in 2020, up from $86 billion in 2019. Over the decade, gaming apps have evolved in terms of graphics, sound, and speed. Previously, mobile game development had a fixed plot. By that, I mean, if the gaming app was about racing, that’s all you could do on the app. However, technology today has enabled game developers to use various frameworks in order to customize characters, make squads, communicate, and so much more. Make sure that you develop a game that is hugely gripping for the user. However, the prerequisites to building a high flying gaming app begin with identifying your target audience. Consider executing market research in order to gauge your audience. Factors to consider when selecting your target audience: Area Age Gender With your target audience in mind, make a call. What kind of gaming audience do you have, and what do you want to develop for your audience? Game engines are mostly the softwares that run the game. Game engines are responsible for facilitating functionalities like graphic rendering, sound, animation, artificial intelligence, etc. Which are the most popular game engines? Let’s explore! Unity Unity is a top-rated tool developed by Unity Technologies. Using Unity enables you to create gaming apps using 2D and 3D app development features. It allows you to import files from various 3D applications such as Maya. Unity allows you to purchase a wide range of assets from their store. Has tutorials to refer to when building your gaming app. Unity facilitates support for Android as well as iOS. Unreal Engine Unreal Engine is apt for developers who are still learning. The Unreal Engine allows you to build a game even if you are not familiar with programming and languages. Endorses a user-friendly interface It allows you to test your game within the platform. Facilitates a wide range of 3D graphics to help you make your game look more visually appealing Unreal Engine supports Android and iOS applications. Corona SDK Corona SDK is a 2D game engine that primarily makes use of Lua scripting language because of which coding becomes simple. Corona SDK has a massive community for support as and when required. Corona SDK supports iOS as well as Android. The platforms marketplace makes several plugins available for you to incorporate into your gaming app.

According to App Annie, the mobile game industry is expected to generate $100 billion in revenue in 2020, up from $86 billion in 2019.

Over the decade, gaming apps have evolved in terms of graphics, sound, and speed. Previously, mobile game development had a fixed plot. By that, I mean, if the gaming app was about racing, that’s all you could do on the app.

However, technology today has enabled game developers to use various frameworks in order to customize characters, make squads, communicate, and so much more.

Make sure that you develop a game that is hugely gripping for the user. However, the prerequisites to building a high flying gaming app begin with identifying your target audience.

Consider executing market research in order to gauge your audience. Factors to consider when selecting your target audience:

  • Area
  • Age
  • Gender

With your target audience in mind, make a call. What kind of gaming audience do you have, and what do you want to develop for your audience?

Game engines are mostly the softwares that run the game. Game engines are responsible for facilitating functionalities like graphic rendering, sound, animation, artificial intelligence, etc.

Which are the most popular game engines? Let’s explore!

Unity

Unity is a top-rated tool developed by Unity Technologies. Using Unity enables you to create gaming apps using 2D and 3D app development features.

  • It allows you to import files from various 3D applications such as Maya.
  • Unity allows you to purchase a wide range of assets from their store.
  • Has tutorials to refer to when building your gaming app.
  • Unity facilitates support for Android as well as iOS.

Unreal Engine

Unreal Engine is apt for developers who are still learning. The Unreal Engine allows you to build a game even if you are not familiar with programming and languages.

  • Endorses a user-friendly interface
  • It allows you to test your game within the platform.
  • Facilitates a wide range of 3D graphics to help you make your game look more visually appealing
  • Unreal Engine supports Android and iOS applications.

Corona SDK

Corona SDK is a 2D game engine that primarily makes use of Lua scripting language because of which coding becomes simple.

  • Corona SDK has a massive community for support as and when required.
  • Corona SDK supports iOS as well as Android.
  • The platforms marketplace makes several plugins available for you to incorporate into your gaming app.
Though a wide variety of online and offline editing tools have been introduced in the market today, nothing can lessen down the importance and need of text editors. From editing a college essay, to writing long blocks of code, you can edit anything using a text editor.  Text editors are a dedicated program to open, view, and edit the plain text files and unlike the Word Processor, they do not add formatting to the texts. They are purely focused on editing plain texts. For example, if you are working on an Apple MacBook, the NotesApp can technically be regarded as your text editor on that system. If you are using a Windows-based computer, then a NotePad can be your basic text-editing program.    Now, before analyzing which text editor is better, let us first check out why text editors are so important?  The majority of features in all text editors are similar. Let us check some of them that are of immense advantage from a coder’s perspective:  · Like Word Processor, Text Editing software is easy-to-use and navigates easily.  · It has a ‘Find and Replace’ feature that helps you to change a single word in the whole file with a few clicks only.  · Cut, Copy, Paste feature is again similar to Word Processor.  · Unlike Word Processor, it can handle UTF-8 encoded text.  · Unlike Word Processor, it has a Syntax Highlighting feature that makes it easier to read code and pick up errors.  · It holds customizable appearance like modifying color schemes, font sizes, etc.  · It is scriptable and offers some plugin mechanism. It lets the programmer customize the editor with an additional feature.  Now, let us move to discuss the two premier Text Editing solutions available for all types of users.  1. Sublime Text    Sublime Text Editor though costs up to $80 for three years of span, but it also comes with a free trial. It works on all Mac, Linux, and Windows-based machines for business as well as personal usage. It is a proprietary cross-platform source code editor that comes with the Python application programming interface (API). It supports many programming and markup languages natively and allows the users to add functions community-built functions that are maintained under free-software licenses. The stable version 3.2.2 Build 3211 of this text editor is released on October 1, 2019.  2. Visual Studio Code    Visual Studio Code is a Microsoft produced source-code editor that works on Windows, Linux, and MacOS. It supports GitHub, embedded Git Control, debugging, snippets, intelligent code completion, syntax highlighting, and code refactoring features. The system is highly customizable and allows the users to change the keyboard shortcuts, theme, preferences, and install extensions that add additional functionality. It is a free and open-source text editing solution that has been released under MIT license.  Visual Studio Code can be used with a variety of programming languages. It is based on Electron – an open source framework that is used to deploy Node.js applications. The stable version 1.39.2 of the software has been released on October 16, 2019.  A small comparative analysis on this;  When Sublime Text is just a ‘text editor,’ Visual Studio Code is an exceptional Integrated Development Environment (IDE). Sublime Text is, though, an excellent framework that offers the quickest way to organize and write your code, it cannot debug the code. On the other hand, Visual Studio Code allows the programmers to both write and test code.  Sublime Text is best for beginners. It is quick and easy to write code and navigate throughout the interface. Visual Studio Code offers more hand-holding, but it is a perfect option for debugging functionality.  The above comparison is only based on few parameters. The best way to understand the software would be to download and give a try that seems suitable for your project.
Though a wide variety of online and offline editing tools have been introduced in the market today, nothing can lessen down the importance and need of text editors. From editing a college essay, to writing long blocks of code, you can edit anything using a text editor.  Text editors are a dedicated program to open, view, and edit the plain text files and unlike the Word Processor, they do not add formatting to the texts. They are purely focused on editing plain texts. For example, if you are working on an Apple MacBook, the NotesApp can technically be regarded as your text editor on that system. If you are using a Windows-based computer, then a NotePad can be your basic text-editing program.    Now, before analyzing which text editor is better, let us first check out why text editors are so important?  The majority of features in all text editors are similar. Let us check some of them that are of immense advantage from a coder’s perspective:  · Like Word Processor, Text Editing software is easy-to-use and navigates easily.  · It has a ‘Find and Replace’ feature that helps you to change a single word in the whole file with a few clicks only.  · Cut, Copy, Paste feature is again similar to Word Processor.  · Unlike Word Processor, it can handle UTF-8 encoded text.  · Unlike Word Processor, it has a Syntax Highlighting feature that makes it easier to read code and pick up errors.  · It holds customizable appearance like modifying color schemes, font sizes, etc.  · It is scriptable and offers some plugin mechanism. It lets the programmer customize the editor with an additional feature.  Now, let us move to discuss the two premier Text Editing solutions available for all types of users.  1. Sublime Text    Sublime Text Editor though costs up to $80 for three years of span, but it also comes with a free trial. It works on all Mac, Linux, and Windows-based machines for business as well as personal usage. It is a proprietary cross-platform source code editor that comes with the Python application programming interface (API). It supports many programming and markup languages natively and allows the users to add functions community-built functions that are maintained under free-software licenses. The stable version 3.2.2 Build 3211 of this text editor is released on October 1, 2019.  2. Visual Studio Code    Visual Studio Code is a Microsoft produced source-code editor that works on Windows, Linux, and MacOS. It supports GitHub, embedded Git Control, debugging, snippets, intelligent code completion, syntax highlighting, and code refactoring features. The system is highly customizable and allows the users to change the keyboard shortcuts, theme, preferences, and install extensions that add additional functionality. It is a free and open-source text editing solution that has been released under MIT license.  Visual Studio Code can be used with a variety of programming languages. It is based on Electron – an open source framework that is used to deploy Node.js applications. The stable version 1.39.2 of the software has been released on October 16, 2019.  A small comparative analysis on this;  When Sublime Text is just a ‘text editor,’ Visual Studio Code is an exceptional Integrated Development Environment (IDE). Sublime Text is, though, an excellent framework that offers the quickest way to organize and write your code, it cannot debug the code. On the other hand, Visual Studio Code allows the programmers to both write and test code.  Sublime Text is best for beginners. It is quick and easy to write code and navigate throughout the interface. Visual Studio Code offers more hand-holding, but it is a perfect option for debugging functionality.  The above comparison is only based on few parameters. The best way to understand the software would be to download and give a try that seems suitable for your project.

Though a wide variety of online and offline editing tools have been introduced in the market today, nothing can lessen down the importance and need of text editors. From editing a college essay, to writing long blocks of code, you can edit anything using a text editor. 

Text editors are a dedicated program to open, view, and edit the plain text files and unlike the Word Processor, they do not add formatting to the texts. They are purely focused on editing plain texts. For example, if you are working on an Apple MacBook, the NotesApp can technically be regarded as your text editor on that system. If you are using a Windows-based computer, then a NotePad can be your basic text-editing program. 

 

Now, before analyzing which text editor is better, let us first check out why text editors are so important? 

The majority of features in all text editors are similar. Let us check some of them that are of immense advantage from a coder’s perspective: 

· Like Word Processor, Text Editing software is easy-to-use and navigates easily. 

· It has a ‘Find and Replace’ feature that helps you to change a single word in the whole file with a few clicks only. 

· Cut, Copy, Paste feature is again similar to Word Processor. 

· Unlike Word Processor, it can handle UTF-8 encoded text. 

· Unlike Word Processor, it has a Syntax Highlighting feature that makes it easier to read code and pick up errors. 

· It holds customizable appearance like modifying color schemes, font sizes, etc. 

· It is scriptable and offers some plugin mechanism. It lets the programmer customize the editor with an additional feature. 

Now, let us move to discuss the two premier Text Editing solutions available for all types of users. 

1. Sublime Text 

 

Sublime Text Editor though costs up to $80 for three years of span, but it also comes with a free trial. It works on all Mac, Linux, and Windows-based machines for business as well as personal usage. It is a proprietary cross-platform source code editor that comes with the Python application programming interface (API). It supports many programming and markup languages natively and allows the users to add functions community-built functions that are maintained under free-software licenses. The stable version 3.2.2 Build 3211 of this text editor is released on October 1, 2019. 

2. Visual Studio Code 

 

Visual Studio Code is a Microsoft produced source-code editor that works on Windows, Linux, and MacOS. It supports GitHub, embedded Git Control, debugging, snippets, intelligent code completion, syntax highlighting, and code refactoring features. The system is highly customizable and allows the users to change the keyboard shortcuts, theme, preferences, and install extensions that add additional functionality. It is a free and open-source text editing solution that has been released under MIT license. 

Visual Studio Code can be used with a variety of programming languages. It is based on Electron – an open source framework that is used to deploy Node.js applications. The stable version 1.39.2 of the software has been released on October 16, 2019. 

A small comparative analysis on this; 

When Sublime Text is just a ‘text editor,’ Visual Studio Code is an exceptional Integrated Development Environment (IDE). Sublime Text is, though, an excellent framework that offers the quickest way to organize and write your code, it cannot debug the code. On the other hand, Visual Studio Code allows the programmers to both write and test code. 

Sublime Text is best for beginners. It is quick and easy to write code and navigate throughout the interface. Visual Studio Code offers more hand-holding, but it is a perfect option for debugging functionality. 

The above comparison is only based on few parameters. The best way to understand the software would be to download and give a try that seems suitable for your project.

Barcode scanners are used to read and translate barcodes from images into readable alphanumeric elements. The scanner matches the corresponding information in the database to the data on the barcode. A barcode is mostly found printed on the products containing information such as manufacturing date, batch number, expiry date, and the price of the product.QR Codes are the most popular barcodes today and are becoming more popular. These codes read internet-based information, like offers and online payments on the user’s smartphones.Barcode scanning apps are used to scan almost all types of QR codes. Some of the widely used Barcode and QR code scanners available in the market are listed below:1.BarCloudThe BarCloud App is an extensive, cloud-based app explicitly designed for asset and inventory management for businesses. This app is compatible with all iOS and Android devices, along with desktop internet browsers. It offers features such as auto-backup, scheduling backups, data security, and is accessible even remotely. BarCloud app provides extensive features ranging from inventory management to task management, and it maintains a record of batches and serial numbers. The latest check-in and check-out feature of this app helps in an effortless management of the inventory. Moreover, it can be retrieved when required.Features:Option to input data manually or scanExtensive data storage alternativesStock record management equipmentExport data in Excel and PDF formatsOptical and graphical analytics deviceAlert of overdue stock, low and expiring inventory2. ScanditScandit is an SDK that provides companies to integrate barcode scanning in their systems with the help of the Barcode Scanner app. This app transforms smartphones and desktops to efficient tools for barcode scanning and can be used by both customers and businesses. Scandit provides all the tools to customize and create barcode scanning apps with features of business choice. This app also allows organizations that commission mobile apps for specific requirements, such as inventory management and stock monitoring.Features:Transform phones, tablets, desktops, and other smart devices into barcode scanners for both Android and iOS platformsAgile and accurate barcode scans and resultsAn array of supported systemsCompatible with basic devicesEfficient scanning from different angles3. QuickMarkQuickMark is a barcode scanner app that enables its users to scan as well as create QR codes. This scanner app is compatible with all the leading platforms and can read a plethora of different layers of barcode and barcode formats. This versatility makes QuickMark one of the most diverse and equipped barcode apps available in the market. This app also minimizes the task of entering data such as serial numbers and inventory information. Users can quickly and seamlessly record data such as prices, dates, product names, batch number, manufacturing details, and more such details with QuickMark.Features:Scans various barcode and QR code formatsCompatible with different platformsImage recording ability for seamless access and data transferAgile and user-friendly capability to transfer scanned data4. ScanLifeScanLife is a consumer-centric barcode scanner and inventory management app. It allows consumers to scan barcodes and QR codes on various products to fetch user data. One can manage different types of data, such as ingredients, nutritional facts, manufacturing, and expiration date, with the help of ScanLife. This app can be integrated with larger platforms for businesses that wish to inform and engage consumers by submitting QR codes in their marketing policies. Users across multiple platforms are satisfied with ScanLife’s features and tools.Features:Full online-offline logging and maintains a record of scanned products Email notificationsDifferent useful insights of products with the help of QR scanningInherent social media integration and sharing alternativesBusiness platform for better engagement with customers5. Lynkee ReaderLynkee Reader is a barcode scanner app that emphasizes on the client rather than product managers or inventory supervisors. This app focuses on scanning both 1D and 2D barcodes, such as Data Matrix barcodes. Lynkee Reader enables its users to read multiple codes, such as vCards. Such codes are meant for the storage of contact information and maintenance of previously scanned barcodes.Features:Offers QR code generatorComprehends barcodes from camera, webpage or filesStudies barcodes, such as vCards, URL, Geolocation, Data Matrix, Flashcode Offers addition and sharing of product reviewsProvides the alternative to create personal Lynkee Reader profiles6. UpCodeUpCode is a user-friendly barcode scanner app available on Apple Store and Google Play Store. This app supports 1D, 2D, and barcodes and allows its users to generate their optical barcodes without any additional charges. Users can scan all modern barcode formats from fast access to multiple data such as graphics, music, videos, files, websites, and lots more with the help of this app. UpCode also offers an inbuilt sharing feature that allows users to share their content with others.Features:1D, 2D, and Bidi barcode scanningSupports QR, Data Matrix, 1D Ean 8 & 13 barcodesLets users create optical barcodesProvides quick access to media, websites, and several other contents7. BeeTaggBeeTagg delivers a plethora of applications, such as a mobile barcode and QR scanner app, a QR code generator app, a contact management app, an app for price verification & manufacturing, and recently introduced, an app to make customized QR codes. BeeTagg is an efficient multifunctional barcode solution that delivers excellent functionality.Features:Multifunctional featuresAcquires substantial information from a single code2D systems encompassing QR Codes, BeeTagg Codes, and Datamatrix1D codes comprising EAN-13 and UPC-ADevelops contact code to share informationCompatible with different content types, such as vCard, Texts, SMS, e-mail, event plannerConclusionSeven of the best barcode scanning apps mentioned above offers small and large businesses with efficient tools for their scanning and inventory management requirements. These apps make barcode scanning seamless and provide easy access whenever required. The above-enlisted scanning apps ensure effortless manufacturing, wholesale, and retail businesses, along with customers to read, register, and save the necessary data of products. Hence, implementing any of these apps can assist in the management and efficient optimization of the company's inventory operations.
Barcode scanners are used to read and translate barcodes from images into readable alphanumeric elements. The scanner matches the corresponding information in the database to the data on the barcode. A barcode is mostly found printed on the products containing information such as manufacturing date, batch number, expiry date, and the price of the product.QR Codes are the most popular barcodes today and are becoming more popular. These codes read internet-based information, like offers and online payments on the user’s smartphones.Barcode scanning apps are used to scan almost all types of QR codes. Some of the widely used Barcode and QR code scanners available in the market are listed below:1.BarCloudThe BarCloud App is an extensive, cloud-based app explicitly designed for asset and inventory management for businesses. This app is compatible with all iOS and Android devices, along with desktop internet browsers. It offers features such as auto-backup, scheduling backups, data security, and is accessible even remotely. BarCloud app provides extensive features ranging from inventory management to task management, and it maintains a record of batches and serial numbers. The latest check-in and check-out feature of this app helps in an effortless management of the inventory. Moreover, it can be retrieved when required.Features:Option to input data manually or scanExtensive data storage alternativesStock record management equipmentExport data in Excel and PDF formatsOptical and graphical analytics deviceAlert of overdue stock, low and expiring inventory2. ScanditScandit is an SDK that provides companies to integrate barcode scanning in their systems with the help of the Barcode Scanner app. This app transforms smartphones and desktops to efficient tools for barcode scanning and can be used by both customers and businesses. Scandit provides all the tools to customize and create barcode scanning apps with features of business choice. This app also allows organizations that commission mobile apps for specific requirements, such as inventory management and stock monitoring.Features:Transform phones, tablets, desktops, and other smart devices into barcode scanners for both Android and iOS platformsAgile and accurate barcode scans and resultsAn array of supported systemsCompatible with basic devicesEfficient scanning from different angles3. QuickMarkQuickMark is a barcode scanner app that enables its users to scan as well as create QR codes. This scanner app is compatible with all the leading platforms and can read a plethora of different layers of barcode and barcode formats. This versatility makes QuickMark one of the most diverse and equipped barcode apps available in the market. This app also minimizes the task of entering data such as serial numbers and inventory information. Users can quickly and seamlessly record data such as prices, dates, product names, batch number, manufacturing details, and more such details with QuickMark.Features:Scans various barcode and QR code formatsCompatible with different platformsImage recording ability for seamless access and data transferAgile and user-friendly capability to transfer scanned data4. ScanLifeScanLife is a consumer-centric barcode scanner and inventory management app. It allows consumers to scan barcodes and QR codes on various products to fetch user data. One can manage different types of data, such as ingredients, nutritional facts, manufacturing, and expiration date, with the help of ScanLife. This app can be integrated with larger platforms for businesses that wish to inform and engage consumers by submitting QR codes in their marketing policies. Users across multiple platforms are satisfied with ScanLife’s features and tools.Features:Full online-offline logging and maintains a record of scanned products Email notificationsDifferent useful insights of products with the help of QR scanningInherent social media integration and sharing alternativesBusiness platform for better engagement with customers5. Lynkee ReaderLynkee Reader is a barcode scanner app that emphasizes on the client rather than product managers or inventory supervisors. This app focuses on scanning both 1D and 2D barcodes, such as Data Matrix barcodes. Lynkee Reader enables its users to read multiple codes, such as vCards. Such codes are meant for the storage of contact information and maintenance of previously scanned barcodes.Features:Offers QR code generatorComprehends barcodes from camera, webpage or filesStudies barcodes, such as vCards, URL, Geolocation, Data Matrix, Flashcode Offers addition and sharing of product reviewsProvides the alternative to create personal Lynkee Reader profiles6. UpCodeUpCode is a user-friendly barcode scanner app available on Apple Store and Google Play Store. This app supports 1D, 2D, and barcodes and allows its users to generate their optical barcodes without any additional charges. Users can scan all modern barcode formats from fast access to multiple data such as graphics, music, videos, files, websites, and lots more with the help of this app. UpCode also offers an inbuilt sharing feature that allows users to share their content with others.Features:1D, 2D, and Bidi barcode scanningSupports QR, Data Matrix, 1D Ean 8 & 13 barcodesLets users create optical barcodesProvides quick access to media, websites, and several other contents7. BeeTaggBeeTagg delivers a plethora of applications, such as a mobile barcode and QR scanner app, a QR code generator app, a contact management app, an app for price verification & manufacturing, and recently introduced, an app to make customized QR codes. BeeTagg is an efficient multifunctional barcode solution that delivers excellent functionality.Features:Multifunctional featuresAcquires substantial information from a single code2D systems encompassing QR Codes, BeeTagg Codes, and Datamatrix1D codes comprising EAN-13 and UPC-ADevelops contact code to share informationCompatible with different content types, such as vCard, Texts, SMS, e-mail, event plannerConclusionSeven of the best barcode scanning apps mentioned above offers small and large businesses with efficient tools for their scanning and inventory management requirements. These apps make barcode scanning seamless and provide easy access whenever required. The above-enlisted scanning apps ensure effortless manufacturing, wholesale, and retail businesses, along with customers to read, register, and save the necessary data of products. Hence, implementing any of these apps can assist in the management and efficient optimization of the company's inventory operations.

Barcode scanners are used to read and translate barcodes from images into readable alphanumeric elements. The scanner matches the corresponding information in the database to the data on the barcode. A barcode is mostly found printed on the products containing information such as manufacturing date, batch number, expiry date, and the price of the product.

QR Codes are the most popular barcodes today and are becoming more popular. These codes read internet-based information, like offers and online payments on the user’s smartphones.

Barcode scanning apps are used to scan almost all types of QR codes. Some of the widely used Barcode and QR code scanners available in the market are listed below:

1.BarCloud

The BarCloud App is an extensive, cloud-based app explicitly designed for asset and inventory management for businesses. This app is compatible with all iOS and Android devices, along with desktop internet browsers. It offers features such as auto-backup, scheduling backups, data security, and is accessible even remotely. 

BarCloud app provides extensive features ranging from inventory management to task management, and it maintains a record of batches and serial numbers. The latest check-in and check-out feature of this app helps in an effortless management of the inventory. Moreover, it can be retrieved when required.

Features:

  • Option to input data manually or scan
  • Extensive data storage alternatives
  • Stock record management equipment
  • Export data in Excel and PDF formats
  • Optical and graphical analytics device
  • Alert of overdue stock, low and expiring inventory

2. Scandit

Scandit is an SDK that provides companies to integrate barcode scanning in their systems with the help of the Barcode Scanner app. This app transforms smartphones and desktops to efficient tools for barcode scanning and can be used by both customers and businesses. 

Scandit provides all the tools to customize and create barcode scanning apps with features of business choice. This app also allows organizations that commission mobile apps for specific requirements, such as inventory management and stock monitoring.

Features:

  • Transform phones, tablets, desktops, and other smart devices into barcode scanners for both Android and iOS platforms
  • Agile and accurate barcode scans and results
  • An array of supported systems
  • Compatible with basic devices
  • Efficient scanning from different angles

3. QuickMark

QuickMark is a barcode scanner app that enables its users to scan as well as create QR codes. This scanner app is compatible with all the leading platforms and can read a plethora of different layers of barcode and barcode formats. This versatility makes QuickMark one of the most diverse and equipped barcode apps available in the market. This app also minimizes the task of entering data such as serial numbers and inventory information. Users can quickly and seamlessly record data such as prices, dates, product names, batch number, manufacturing details, and more such details with QuickMark.

Features:

  • Scans various barcode and QR code formats
  • Compatible with different platforms
  • Image recording ability for seamless access and data transfer
  • Agile and user-friendly capability to transfer scanned data

4. ScanLife

ScanLife is a consumer-centric barcode scanner and inventory management app. It allows consumers to scan barcodes and QR codes on various products to fetch user data. One can manage different types of data, such as ingredients, nutritional facts, manufacturing, and expiration date, with the help of ScanLife. This app can be integrated with larger platforms for businesses that wish to inform and engage consumers by submitting QR codes in their marketing policies. Users across multiple platforms are satisfied with ScanLife’s features and tools.

Features:

  • Full online-offline logging and maintains a record of scanned products 
  • Email notifications
  • Different useful insights of products with the help of QR scanning
  • Inherent social media integration and sharing alternatives
  • Business platform for better engagement with customers

5. Lynkee Reader

Lynkee Reader is a barcode scanner app that emphasizes on the client rather than product managers or inventory supervisors. This app focuses on scanning both 1D and 2D barcodes, such as Data Matrix barcodes. Lynkee Reader enables its users to read multiple codes, such as vCards. Such codes are meant for the storage of contact information and maintenance of previously scanned barcodes.

Features:

  • Offers QR code generator
  • Comprehends barcodes from camera, webpage or files
  • Studies barcodes, such as vCards, URL, Geolocation, Data Matrix, Flashcode 
  • Offers addition and sharing of product reviews
  • Provides the alternative to create personal Lynkee Reader profiles

6. UpCode

UpCode is a user-friendly barcode scanner app available on Apple Store and Google Play Store. This app supports 1D, 2D, and barcodes and allows its users to generate their optical barcodes without any additional charges. Users can scan all modern barcode formats from fast access to multiple data such as graphics, music, videos, files, websites, and lots more with the help of this app. UpCode also offers an inbuilt sharing feature that allows users to share their content with others.

Features:

  • 1D, 2D, and Bidi barcode scanning
  • Supports QR, Data Matrix, 1D Ean 8 & 13 barcodes
  • Lets users create optical barcodes
  • Provides quick access to media, websites, and several other contents

7. BeeTagg

BeeTagg delivers a plethora of applications, such as a mobile barcode and QR scanner app, a QR code generator app, a contact management app, an app for price verification & manufacturing, and recently introduced, an app to make customized QR codes. BeeTagg is an efficient multifunctional barcode solution that delivers excellent functionality.

Features:

  • Multifunctional features
  • Acquires substantial information from a single code
  • 2D systems encompassing QR Codes, BeeTagg Codes, and Datamatrix
  • 1D codes comprising EAN-13 and UPC-A
  • Develops contact code to share information
  • Compatible with different content types, such as vCard, Texts, SMS, e-mail, event planner

Conclusion

Seven of the best barcode scanning apps mentioned above offers small and large businesses with efficient tools for their scanning and inventory management requirements. These apps make barcode scanning seamless and provide easy access whenever required. The above-enlisted scanning apps ensure effortless manufacturing, wholesale, and retail businesses, along with customers to read, register, and save the necessary data of products. Hence, implementing any of these apps can assist in the management and efficient optimization of the company's inventory operations.

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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