What’s New In Golang 1.15?

 

Since its delivery, Golang has increased popularity in the developer community. Till the year 2016, it was crowned as the language of the year and holds 11th position in the TIOBE programming community index. Golang is used for all types of software development solutions like general programming language, system programming language or general support. It has the ability to handle heavy server-centric web services, text processing problems and heavy distributed apps. Since its release, the language has been constantly revised and improved over the years. Before proceeding for the new features and updates in Go 1.15, let us have a quick look at Golang.

What Is Golang?

Golang is also known as Go. It is an open source programming language developed by Google in the year 2007. Golang’s creators want to make a statically typed compiled language that would be as simple to use as dynamically typed languages and have a similar level of expressiveness. In short they want to include C++  with Java and Python while including the best features of them. So, Golang has elements from statistically and dynamically typed languages. Golang syntax was designed to allow virtually everything to be programmed using less syntax. Even though the language has been available for longer than 10 years, it hasn’t introduced any serious syntax modifications that could make the code over-compiled. Recently, on 11th August 2020, it has released version 1.15. Let us see some amazing updates of Golang 1.1.5.

What’s New In Golang 1.15?

1. Compiler-

• Package unsafe’s safety rules allow you to convert an unsafe.Pointer into uintptr when calling certain functions. Earlier, the compiler allowed different chained conversions. The compiler now requires precisely one conversion.
• Golang 1,15 includes a -spectre to both compiler and assembler.
• Now, the compiler rejects //go: compiler directives that does not have any meaning for the declaration they are applied to with “misplaced compiler directive” error.
• Now, the compiler’s -json optimization logging reports large copies( >=128) and provides explanations of escape analysis decisions.

2. Linker-

Completely rewritten linker is the largest tooling change in 1.15. Have a look at the three major structural changes in new linker-

• Moving from the linker to compiler, this enables parallelization as compiles are done in parallel across multiple CPUs, but the link step mostly be done in sequential at the end of the build. Also the results of the compiler are cached by Golang tooling.
• Improving key data structures, primarily by avoiding strings. The recent linker makes use of large symbol table indexed by string; the new design avoids strings however much as possible by using a  symbol numbering technique.
• Avoiding loading all input object files into memory at once: this makes the new linker use less memory for large programs, and allocates less memory.

3. Tools-

• Vet- Now, this tool warns about form string(x) conversions where x has integer type other than rune or byte. It also warns about type assertions from one interface type another interface type when the type assertion will always fail.
• Go command- The GOPROXY environment supports skipping proxies that return errors. Now, Proxy URLs can be separated with commas or pipe characters. Various flag parsing issues in go test and go vet have been fixed.

4. Runtime-

• For runtime, now allocation of small objects works more efficiently at high counts and has lower worst-case latency. Further, non-blocking receives on closed channels now perform and also non-blocking receives on open channels.

5. Standard Library Additions-

In every new version release, Go comes with various minor changes and updates to the library. Here we’re including some useful and significant changes-

tzdata Package-

A new embedded tzdata package was included that allows embedding the timezone database into a program. Importing this package allows the program to find timezone information without timezone database on local system. Also you can embed timezone database by building with -tags timet/zdata. This increases the size of the program by about 800 KB. This might be helpful and can test some code with the virtualized environments like Go playground.

X.509 CommonName Deprecation-

Older versions of Go use CommonName field on X.509 certificates as a hostname if there is no Subject Alternative Names, would be disabled by default. If Still need to use this legacy behavior, at that point you need to include x509ignoreCN=0 in the GODEBUG environment variable.

net/url Package-

The net/url package adds a new URL. The method redacted() returns the URL as a string. This is proposed in the Issue 34855. It is an extremely helpful improvement for audit logging and security. It’s a simple derivation from the URL.String() which masks the password if exists from the string being passed. It doesn’t modify at all to the URL itself yet a copy of it.

6. Minor Changes To The Library-

1. context-

While creating a derived context by using a nil parent is now disallowed. 

2. bufio-

When a Scanner is used with an invalid io.Reader that incorrectly returns a negative number from Read, the Scanner will not panic, yet will rather restore the new error ErrBadReadCount. 

3. crypto-

The PublicKey and PrivateKey types in the crypto/rsa, crypto/ecdsa and crypto/ed25519 packages now have an Equal method to to make type-safe interfaces for public keys or to compare keys for equivalence. The method signature is viable with go-cmp’s definition of equality. Now, Hash implements fmt.Stringer.

4. crypto/ecdsa-

New VerifyASN1 and SignASN1 functions allow generating and verifying ECDSA signatures in standard ASN.1 DER encoding.

5. crypto/elliptic-

New UnmarshalCompressed and MarshalCompressed functions allows encoding-decoding NIST elliptic curve points in compressed format.

6. crypto/rsa-

According to RFC 8017, now, VerifyPKCS1v15 rejects invalid short signatures with missing leading zeroes

7. crypto/tls: 

New Dialer type and its DialContext method allows use of context to both connect and handshake  with TLS server.

8.crypto/x509/pkix: 

Now, Name.String prints non-standard attributes from Names if ExtraNames is nil. 

9. database/sql-

New DB,SetConnMaxIdleTime method allow  to remove a connection from connection pool after it has been idle for some time, regardless of the total lifespan of the connection.

The DBStats.MaxIdleTimeClosed field shows the total number of connections closed due to DB.SetConnMaxIdleTime. New Row.Err allows query error checking without calling Row.Scan. 

10. database/sql/driver-

New Validator interface may be implemented by Conn to allow drivers to signal if a connection is valid or if it should be discarded. 

Know more at- https://solaceinfotech.com/blog/whats-new-in-golang-1-15/

Big Data Vs Data Science- What Is The Difference?

 

Data is everywhere. The amount of digital data that exists is rapidly increasing, doubling every two years, and changing the manner in which we live. Information is all over the place. Till the year 2020,about1,7 megabytes of new information will be generated every second for every human being. 

Here we will differentiate, big data and data science with various parameters. Before we start Big data vs Data science, let us see each one in detail.

What Is Big Data?

Big data is a humongous volume of data which cannot be effectively processed with the traditional apps that exist. The processing of Big Data starts with the raw data that isn’t aggregated and is generally difficult to store in the memory of a single computer. A popular expression that is utilized to describe massive volumes of data, both unstructured and structured, Big Data inundated a business on an everyday premise. Big Data is something that can be used to examine insights that can prompt better decisions and strategic business moves. By the definition- Big data is high-volume and high velocity or  high variety information asset that demand cost-effective, innovative forms of information processing that allow enhanced insights, decision making and process automation.

What Is Data Science?

Managing unstructured and structured data, Data Science is a field that involves all that is related to data cleansing, preparation, and analysis. Data science is a combination of programming, problem-solving, statistics, mathematics, the ability to look at things in a different way, getting data in ingenious ways, data cleaning, aligning and preparing. In simple words, it is an umbrella of techniques that use to extract insights and information from data.

Big Data Vs Data Science- What Is The Difference?

1. Perception-

Generally, big data is generated from multiple data sources and so it can be called a collective dataset. As the data set is made with data from multiple sources, each data type and data format is possible to add in big data. Big data can be Structured or unstructured or semi-structured datasets. Basically, a company or organization creates real time that insures the current status of an event and encourages them to work in a way to achieve the goal.

Data science includes multiple tools and techniques to analyse the dataset. Main goal of data science is to simplify the complexity of big data. Basically it is a concept made to reduce the difficulties in taking decisions for an organization. Considering big data vs data science, big data are unstructured and need to be simplified, whereas data science is a quick solution to it.

2. Platforms-

Big data is produced from each conceivable history that can be made in an event. The operation of producing data is started on platforms like DOMO, Hortonworks, Cloudera, Microsoft Machine Learning Server, Vertica, Kofax insight, AgileOne and so on. 

Data science works for the improvement of an organization through data analysis, process, preparation, and so on. Knowing the use and importance of data science, scientists started to work on it for the creation of detailed and accurate data science platform. After some attempts, many platforms are created and those are MATLAB, TIBCO statistica, Anaconda, H2O, R-Studio, Databricks Unified Analytics platforms and so on.

3. Tools-

Big data was introduced in 2005 and since then there has been developed many new and interesting tools that process data. These tools are Apache Spark, Apache Cassandra that work for SQL, graph processing, scalability etc. Hadoop by Apache can distributes huge amounts of data on different computers. 

Data science eases the decision making process for companies. Data scientists have developed the topic data science with different tools. Python programming, R programming, Tableau, Excel are some common examples with what data science can be explained. Statistical explanation and exponential development curves with the probability of an event can also be appeared with these tools.

4. Data Filtering-

Big data is expanding at a higher rate and never stops growing. But, it can assist with identifying the data which are important and which are less important. And it is called a data cleansing process. Dataset consists of huge data so it becomes so difficult to find out the detected data and analyze it by ownself. Although it is a harder process, big data helps in data cleaning through error data detection.

Data science is used to find the error and clean it. When data science is applied to big data, it helps to process, analyze and get the final result. From this, the summary of big data comes out and unwanted data remains  untouched. This remaining data will not be needed in future and it can be cleaned. In this way data science helps to keep internet clean by removing unnecessary data and finding out errors.

5. Relation With Cloud Computing-

The goal of big data is to serve as CEO and achieve business success whereas the goal of cloud computing is to serve as CIO in convenient and accurate IT solutions. When big data and cloud computing work together, business and IT-related success come rapidly and the efficiency becomes more rapid and smooth.  Big data can be stored on a cloud because cloud computing provides more storage and big data needs storage to get stored too.

When you work with data science, to find out accurate results, there is a need to apply algorithms. Clouds are advantageous with high computational needs and data storage. Data science requires more storage to store the analyzed data. Cloud computing is an easy solution for this.

Know more at- https://solaceinfotech.com/blog/big-data-vs-data-science-what-is-the-difference/

Top 7 Machine Learning And AI Trends In 2020

Artificial Intelligence and machine learning has changed the way of working that we have continued for many years. A good example is the rise of chatbots that are taking over the businesses to manage the customer queries. Machine learning has helped in analysis of large data sets within minutes. There are a lot of innovative uses for Artificial intelligence and machine learning. AI powered virtual nurses like “Angel” and “Molly” are already saving lives and cost while robots are helping with everything, from less invasive procedures to Open heart surgery. Considering the rise in demand and interest in artificial intelligence and machine learning, lots of new trends are emerging. Let us see some of these.

Machine Learning And AI Trends In 2020-

1. Automation-

Intelligent Process Automation(IPA), is a process of ensuring automation of manual tasks with the assistance of artificial intelligence. All organizations have bottlenecks in different business measures. IPA will assist them with distinguishing the trend and foresee future bottlenecks by allowing the management to enhance decision making effectively. Automation is a beneficial development for any business to drive its tasks. For example, automation can help to prevent cyber attacks by recognizing unusual user requests and the frequency of these requests.In such cases, the system can notify the administrator, allowing them to take the necessary actions. Next automation is automated testing tool for developers.  Because of automation testing tool, programmers can focus on development by saving the time of testing smart systems and debugging.

2. Virtual Gaming-

The AI games that are available today, don’t have a robust environment for users. The reason behind this is the lack of data storage required to create such environments. The recent upsurge in AI technology is the push that virtual gaming required. The upcoming virtual games will be very realistic and  interactive. Through machine learning, games can evolve in the future based on character development taken by the user. Game developers are expected to adapt new skills in AI so as to stay aware of the demands of its users who no longer stay content with the visualization. Their desires are to enjoy games as close to real life as possible by using virtual reality and technology, such as, 3D augmentation. Also, mobile game developers have the opportunity to present their skills in such gaming apps.

3. Conversational AI-

Conversational AI is becoming an integral part of businesses. Many companies are adopting the advantages of chatbots to bring customer service, sales and marketing. Although chatbots are an important asset  for business, their performance is still a long way from human. Researchers from big institutions and tech leaders have explored the way to improve the performance of Dialog systems:

• Dialog systems are improving at tracking long-term aspects of conversation. The main aim is to improve the system’s ability to understand complex relationships in conversation by using the conversation history and context.
• Most of the current chatbots generate boring and repetitive responses. The next aim to generate diverse and relevant responses is on the way.
• Emotion recognition is an important feature for open-domain chatbots. So experts are searching the best ways to include empathy into dialog systems. 

4. Computer Vision-

Computer vision systems have revolutionized industries and business functions with apps in security, healthcare, retail, transportation, agriculture and so on. Recently introduced architectures and approaches like EfficientNet and SinGAN improves the perspective and generative capacities of visual systems. The latest research topics in computer vision are-

• Currently 3D is a leading research area in CV. The google research team introduced a novel approach for the generation of depth map of natural scenes.
• There is an increase in the popularity of unsupervised learning methods. For instance, research team of Stanford University introduced a promising Local Aggregation approach to object detection and recognition with unsupervised learning.
• Computer vision research is successfully combined with NLP. Recent research advances enable robust change captioning between two images in natural language, vision-language navigation in 3D environments and learning hierarchical vision-language representation  for better image caption retrieval and visual grounding. 

5. AI and Humans-

As the use of ML and AI has been advancing very rapidly and will proceed further, a need emerges to adapt ourselves to work with digital workers. AI can deal with complex tasks without need of human supervision. It can deal with numerous functions at the same time. In spite of the advantages, AI is still not advanced enough to be able to use creativity, imagination, and add human emotions to its work. AI can help humans by generating analytical reports according to the data sets in the system via machine learning. AI systems gives productivity of 99.9%. It is also good at maintaining focus on work without distractions. These characteristics are very advantageous for the human world’s evolution to the more advanced system. 

6. Reinforcement Learning-

Reinforcement Learning is still important for business apps. It is successfully applied in the cases where huge amounts of simulated data can be generated such as games and robotics.  RL is a promising path towards Artificial general intelligence(AGI) or true intelligence. Si researchers are exploring the ways to make RL algorithms more efficient and stable. Have a look at trending research topics in RL-

Know more at- https://solaceinfotech.com/blog/top-7-machine-learning-and-ai-trends-in-2020/

Top 7 Python GUI Frameworks In 2020

 

Python is a widely used programming language and has a community of nearly 4.3 million. It has a wide range of applications from Web development to desktop Graphical User Interfaces(GUI). Python GUI Framework helps us to learn more about Python programming. You can create the best Python GUI in Python programming. Here we’ve listed the best Python GUI framework/toolkit that you can use. Before we proceed for the details of each framework, let us see what is Graphical User Interface. 

What Is A Graphical User Interface (GUI)?

It is an interface through which users can communicate with electronic devices like computers, mobiles and other devices. This interface uses symbols, icons, menus and other graphics to display data. Related users control the text based interface, where commands and data are in text form. Graphical user interface representations are managed and manipulated by pointing devices like mouse and touchscreen. The need for the GUI framework is very genuine because in the first computer the text interface is created by the keyboard. To initiate responses from a computer needs, the command fired by the keyboard needs exact spelling and this creates difficulties and inappropriate interface. Python is there to help you to solve this issue. For developers, it has different options for GUI frameworks. Let us see Python GUI frameworks.

Python GUI Frameworks-

1. Kivy-

It is an open-source Python library for rapid app development and it uses innovative user interfaces like multi-touch applications. Kivy GUI library for Python is created around the main loop that makes it compatible for game development. This framework is stable with Kivy’s graphics engine and uses modern & fast graphics pipelines. Kivy framework is a cross-platform and runs on Windows, Linux, Android, iOS and Raspberry Pi, OS X. 

Kivy Installation: In windows

• Before you install Kivy, update the Kivy pip and wheel.

python -m pip install -upgrade pip wheel setuptools

• Install dependencies

python -m pip install docutils pygments pypiwin32kivy.deps.sdl2 kivy.deps.glew
python -m pip install kivy.deps.gstreamer
python -m pip install kivy.deps.angle

• Now, install Kivy

python -m pip install kivy

2. PySide GUI-

It is a python binding for the QT side. It is a Python extension or API for QT and is probably industry standards for user interface development for cross-platform. One of the great advantages is- you can run your graphical user interface using PySide in Linux, Mac and Windows without changing your source code much. PyQT and PySide are relatively the same, just a difference is the way they are open source and licensed.

PySide is comparatively indulgent than the other Python GUI builder. So, if you try to program that you want to use professionally then go with Pyside. When you go with PySide, select a Python version 2.7 or 2.8. 

Let us see PySide installation on Mac-

• First, install or create QT 4.8 or use the following code-

$ brew install qt

Now, install the wheel by pip. Use the following code.

$ pip install -U PySide

Install PySide: In windows-

First install the pip(python package manager). For this you can use the following code-

pip install -U PySide

Use the following code to install PySide in your system.

Easy_install -U PySide

3. Libavg-

Libavg is an open-source high-level development platform for media centric apps. It uses Python as a scripting language, written in High-speed C++ and uses modern OpenGL for display output. This framework is better for developing modern touch UIs and supports most of the touch driver models, including Windows touch, Linux, TUIO and XInput. Also it has a lot of features like, it supports a large number of display elements that generally advanced modern graphics-intensive applications requires, layout engine supports lots of display elements on screen at a time and also a hardware-accelerated video output and so on.

Libavg GUI Installation: In Windows

• First of all, download the Python 2.7 version and then  download Visual C++ runtimes.
• Secondly,  download CMU 1394 Digital Camera Driver and Libavg installer.

Use following command to access average utilities-

C:\Python27\scripts

Now execute the test using following command-

C:\>cd \Python27\lib\site-packages\lib\site-packages\libavg\test
C:\..\>c:\Python27\python Test.py

Now you can run the test.

Ran 273 tests in 11.231s
OK

4. WxPython-

Know more at- https://solaceinfotech.com/blog/top-7-python-gui-frameworks-in-2020/

What’s New In .Net 5?

 

There are many changes in the software development fundamentals in the last few years. The developers need to work cross-platform and open source development strategies with faster speed and also they want to integrate the old applications with the new technologies easily. The .NET framework came with a new version ASP.NET 5 to fulfill the requirements.

As compared to previous versions, it includes many new features like support of cloud based, cross platform and open source application development, modularity, faster development cycle and  freedom to choose the programming tools. ASP.NET has compact components with negligible overhead and due to this, developers can feel flexibility while constructing their applications. Let us see the new features of .Net 5 in detail.

New Features Of .Net 5-

1. Combination Of MVC, Web API, And Web Pages In Single Programming Model-

With the new version ASP.NET, MVC, Web API and Web pages are packed into a one framework called MVC 6. This approach removes duplication from the framework and makes it simpler for developers to build applications. So, there is no need to write different code whether you are in MVC, Web API or Web pages context.

2. Flexible And Cross-Platform Runtime-

ASP.NET 5 has three different K-runtime environments. Full .NET CLR, Core CLRR (for Windows) and cross-platform CLR (for Mac and Linux). You can choose any of three as per your requirements.

• Full .NET CLR- It is a default runtime. If you want the previous application to be compatible with ASP.NET 5, it is a better choice as it provides a complete API set.
• Core CLR (Cloud-Optimized CLR)- It is a modular runtime. This CLR allows you to choose and include just the features we need in our application. These features are being included as NuGet packages. This way our application depends just on the necessary features. The Core CLR is around 11 megabytes in comparison with the full .NET CLR which is 200 megabytes. Every component is separately updated hence rapidly as it has its own schedule. Different versions of Core CLR can be run next side-by-side and can be deployed with your application.
• Cross-Platform CLR- The cross-platform CLR allows you to develop and run apps on devices running on Mac and Linux operating systems. Mono community can be used for cross-platform development. A web worker called kestrel will be used for Mac and Linux that is built on libuv in ASP.NET 5.

3. Open-Source-

.NET will be open source and using its principal it will allow us to run applications on different operating systems. The source code for ASP.NET 5 is hosted on GitHub, within the .NET foundation org.

4. Ability To Self-host Or Host On IIS-

ASP.NET 5 gives the adaptability to host your application on IIS or self-host it in your own process. When you build the application focusing on the Core CLR, you can deploy it with each dependency bundled within the deployment package. Thus, your application and its dependencies are completely self-contained and independent of system installation of .NET. This new ability gives you the opportunity to host your application on any device or hosting platform. You just need to deploy your project to that host.

5. Modularity-

It is one of the major features of ASP.NET 5. With the previous versions of .NET; to run our application the whole .NET Framework was required to install. It needs more storage on disk. It can cause more problems when we need to run applications in different .NET versions than the one in which they were developed. It depends on features organized as packages. So, all the dependencies are built as Nuget packages that are deployed together with the application. To optimize resources for the cloud it is partitioned into two sections: one for on premise solutions and the other for cloud application. The cloud improved system contains just the assets that are required from the sending of an application on cloud nothing else. Cloud optimized framework contains just the resources which are required from the deployment of applications on cloud nothing else. 

In the web application the web.config file is being replaced by project.json in which we can choose which package and its version we need to include in our application. This json file is used in all kinds of projects.

6. See The Changes In Browser Without Re-building The Project-

VS 15 gives a lightweight developer experience to ASP.NET applications. You just need to do changes in your code, save them and refresh the browser. You can see code changes in the web browser without re-building the project.

7. Language Updates-

Know more at- https://solaceinfotech.com/blog/whats-new-in-net-5/

7 Best Mobile App Testing Trends In 2020

These days mobile apps are an important part of our daily life. Similarly, it has become a major medium for businesses to reach a large number of online customers and drive sales. According to the research, a normal person is stuck to a cell phone for an average of 3 hours and 43 minutes on a daily basis. Hence, it has become business-centric to have a feature rich mobile application. To have a successful mobile application, it is necessary to have an application that is fulfilled with intuitive and vivid user experiences (UX) capable of delivering great performance in any condition.

Changing business sector dynamics and increasing client expectations are continuously evolving the mobile application testing industry. To enable high performance delivered at a faster time-to-market, advanced mobile application testing trends have emerged. For, quality-at-speed, businesses focus through mobile app testing before each release of application. Let us see the modern mobile app testing trends that will drive growth in 2020.

Mobile App Testing Trends In 2020-

1. Use of Open Source Automation Tools-

If you haven’t automated your testing processes yet, then 2020 is the most noteworthy time for you to start. Open source tools are popular due to their flexibility and support to all kinds of mobile applications like hybrid apps, ios and android apps. These tools come loaded with code libraries for multiple languages that can be easily customized for modifications. 

2. Propagation of Agile and DevOps–

The need for Agile has raised in the market since organizations are switching towards rapid changes. Also, the collaboration of DevOps to achieve speed requirements is another factor that will reach the sky in the near future. It is expected that DevOps will implant the standards and practices together to set out operations and development processes on mobile applications. It will be a significant advantage for testing teams with the merger of DevOps and Agile to create effective mobile applications. Quality and speed are the main factors that are exactly evaluated with this productive association.

3. M-Commerce App Testing-

These days, the majority of people make online purchases through their smartphones. So m-commerce has become a need for businesses. Businesses are continuously launching highly customized mobile commerce apps to reach more customers and drive sales. Easy payment through e-wallets and digital channels has raised the growth of m-business. The need for complex functionalities and robust UI has made it crucial to execute detailed testing of m-commerce applications. UX, security, and performance of the application should be foolproof to convey engaging and reliable customer experience.

4. Internet of Things Testing-

As wearables are becoming a crucial aspect of our lives, the mobile testing trends 2020 need to reflect this adoption of IoT. But it brings new challenges to mobile app testing  as many IoT devices and wearables synchronize with smartphones. There are some issues with safety and the testing for dependability and functionality will differ from normal testing processes.

With IoT app testing, you have to face

• connection issues
• enhanced data security
• changes in smartphone power consumption
• revision of operating procedures, data transfers and protocols
• additional advanced functionality (AI, VR/AR, etc.)

QA testers should also focus on the test-as-a-user approach. With this, testing on genuine devices instead of using emulators come to the focus. The variety of devices an IoT piece needs to work with is tremendous. This concerns the number of test methods to cover everything from the critical functions to the mobile application UX and connection stability. Also testing in the cloud is becoming more popular- as emulators cannot completely cover the need of modern mobile app testing.

You can also know- How to Develop Internet of Things Applications?

5. 5G Device Integration-

5G is acquired in various countries like Japan, China and UK; and with this, the high speed technology is ready to turn into a worldwide standard. With the rising 5G ecosystem, more businesses will look to launch applications that are viable with 5G technology.

6. Adoption of AI and ML in Mobile App Testing-

AI and ML are being used in different business apps for accuracy and efficiency. And test automation is also using AI/ML to improve processes and optimize workflows of the test cycle. Predictive analytics of test cases and log analytics are making automation testing more efficient and accurate. Advanced ML algorithms are ready to rule automation testing to allow quality-at-speed.

The expectations of end-users for mobile apps are continuously increasing, so it is necessary to release a customer-friendly application that is secured and delivers optimum performance. A robust mobile application testing strategy is also needed for efficient implementation of continually advancing technologies and more feature-rich hardware entering the market in a shorter time frame.

7. Testing With Real Device Cloud-

In the mid of 2020, near about 1.5 billion smartphones having different screen resolutions, OS versions are operating. Generally, it is difficult to test a specific mobile app on all the available devices. So as a solution, using a real device cloud is an ideal way to improve testing. For the current year, the favorable strategy implied for mobile application testing is focused at the use of real devices with cloud technology. Such a plan will pinpoint evident performance defects. Among the most latest mobile application testing trends, the deployment of real device cloud is efficient since it targets everything, be it network failures, hardware issues, and so forth. As the year passes, it is accepted that Artificial Intelligence (AI) and Open Source Tools will surely share a significant role in accelerating the mobile application testing market.

Wrap Up-

As the user expectations continue to soar high for mobile app user interface and performance aspects, organizations must adapt and deliver them effective apps to stay ahead in the competition. So it is necessary to adapt all these mobile app testing trends in 2020. Continuous upgradations in the technologies with a large number of mobile devices, it is necessary to adapt the new testing strategy.

 

WordPress Vs Squarespace- A 2020 Comparison

More than 60 million people in the world use CMS to run their websites. There are hundreds of CMS available but the one is becoming increasingly popular and used by many people all around the world. So which one is that- WordPress or Squarespace? How to decide which platform to use and why? Before we dive into the comparison, ask a few questions to yourself. 

• What is the purpose of the website that you want to build?
• Is it a complex web app or a simple web presentation?
• Are you building an ecommerce website or do you want to sell your services online?
• Are you developing a website on your own or hiring professional developers?
• Do you want to work around search engine optimization?
• Are you tech savvy?

Now you have a starting point. Let’s see some basics of both the CMS, wordpress and squarespace before we start comparison.

What Is WordPress?

Released in 2003, WordPress is a free open-source content management system(CMS) that is used to build websites and web applications. It’s open source, meaning that the code behind it is freely available and may be modified easily. Now more than 33% of top 10 million web locations are based on WordPress(WP). Websites built with WordPress can be customised to a very large degree — it’s an extremely flexible tool that, in the hands of the right development team, or through the installation of a suitable plugin, can be adapted to meet the requirements of just about any website design project. WP is based on HTML, CSS, PHP and JavaScript and it supports a lot of technical features. 

What Is Squarespace?

Launched in 2003, Squarespace is an all-in one website builder with its own CMS. As Squarespace is a cloud service, there is no need to download any software. We call it an all-in-one solution because with just a subscription fee, it provides customizable and responsive website templates, hosting service, domain name, SSL certificate, and 24/7 customer service. Recently, a built-in email marketing tool, ‘Squarespace Email Campaigns’ was also added to the feature’s list. The main idea behind Squarespace is- it’s a ‘code-free’ solution that makes it possible to build and edit a website without needing to go near any CSS or HTML.

WordPress Vs Squarespace- A Comparison

1. Ease of use-

WordPress has an interactive interface with an easy to use dashboard. If you are familiar with HTML, CSS and PHP, it is easier for you. It just requires a basic knowledge of these programming languages and style sheets to build a website on your own. WordPress will be a better solution for multilingual sites. 

As Squarespace is a website builder, you can pick, switch, and personalize your templates using drag-and-drop.  You can choose an element like a text box, drag it to where you need it and drop- and that’s exactly how it will look once your page is published. It is called as WYSIWYG editing means “What You See is What You Get,”. This makes it easy to make changes because you’re seeing everything right in front of you, exactly how visitors to your site will be seeing it once it’s live.

2. Themes and Templates-

WordPress is based on a customizable theme and also follows a plugin architecture. Thousands of WP themes are available and are free and paid too. Nearly 55000 plugins are available for all kinds of modifications and extra functionalities. If you have hands-on experience in HTML, CAA, JS and PHP, you can use WordPress themes for your website and customize whatever you need. Within themes,there comes a template hierarchy.

Squarespace is also based on customizable templates. There are more than 100 templates available to choose and these templates are grouped according to the similar functionalities and features. Depending on the purpose of the website you will get the recommended templates that give you an easy start. You can start with one template and then switch to a different one later on. But the switching is not that much of an easy process because of the differences between templates and features, however it is possible.

3. Ecommerce-

WordPress has various options for setting up an online store.  The most highly recommended is the plugin WooCommerce. One can create a powerful online store with WooCommerce. It is specially designed for WordPress users to help them sell online. As it was built for WordPress, you don’t need to worry about its compatibility for your website. It is free and also easy to install.  Woocommerce includes inventory management, hundreds of themes, payment and shipping options etc. Due to the customization available with woocommerce, you can align your branding, sell whatever products you want and also can integrate ecommerce with powerful blogging tools.

Squarespace gives you everything that you need to start online selling. All sales tools of squarespace are fully integrated, meaning that the online store will look seamless and professional. It’s business plan is designed for small stores and charges 3% transaction fee on each sale you make. There is a provision to create promotional pop-ups, sell unlimited products and have a professional email and so on. The upgraded ecommerce plan includes advanced ecommerce features like- 0% transaction fees, inventory, orders, tax and coupons, label printing, product listings on instagram, gift cards, cart recovery etc.

Know more at- https://solaceinfotech.com/blog/wordpress-vs-squarespace-a-2020-comparison/

7 Steps To Choose Best CMS For Your Website

 

Having a business without a website is just the same as you don’t exist and this is a reality for a long while now. However if you have a small to medium-sized company, the chances are you probably do not have resources for an IT department to work on your website throughout the entire year. In such cases, you should employ a website development company to design and develop a website for you. When you hire one, they would likely ask you to choose a custom website and a Content Management System (CMS). CMS offers a lot of benefits and the biggest one is no need to worry about how to code. There are too many different CMS in the market. So how to choose the best one? Don’t worry, we’ve come with a list of things to consider while selecting the best CMS for your website. Before digging into it, have a look at, why use CMS?

Why Use CMS?

1. User-friendly Content Composition- 

Content management systems offers simple and easy to use content composition and media upload tools with simple formatting controls to build attractive layouts. Most provide the ability to preview work and save drafts.

2. Accessible Content Management- 

If you use CMS, you don’t need a knowledge of HTML to edit a website. As there is a provision of editing tools, there is very little to learn. Some CMSs include complex layout editors that give WYSIWYG composition, or let you edit page content in a live view.

3. Rapid And Fast Edits-

A CMS allows you to access the contents of a database over the web. Generally, you’ll use a form, although some CMS software allows you to directly edit the page contents in live preview.

4. Safe Interaction With Database-

The CMS helps with checking accidental edits by controlling the manner in which you save and create your content. This can help to stop you from messing up the database, as you don’t interact directly with it. Some CMSs don’t use databases but this is rare.

5. Automation-

The CMS can automate some aspects of content delivery, like the production of a RSS feed from content that you create. It can also schedule posts for a future date, so you can stack up content in advance instead of publishing it immediately, and feed into your social media accounts, ecommerce store and so on.

6. Flexibility- 

Numerous CMSs have well-established user communities that extend their reach and usefulness using extensions or plugins. As the design and layout is separate, it is easy to “reskin” the site by plugging in a new theme without disturbing the content. Some CMSs have built-in forum and email marketing tools.

How To Choose A CMS For Your Website?

There are hundreds of content management systems like Magento, Drupal, Joomla, WordPress, Wix and so on. Before selecting any CMS, you should ask yourself a few questions like- your budget, security options, support and exactly what you need in a website etc. Complexity is another issue, if you run a shop with thousands of products, you should go for a proven ecommerce platform like WooCommerce or Magento. Whereas, if you are a startup or a small company that offers one or two services, you can just start with one page website. Here we’ll discuss some of the important points that should be considered before you select the best one for your website.

1. Ease Of Use-

For a non-technical person, ease of use is the most important thing to think about CMS. If you want to manually upload content, you will have to do it by yourself, whether you want it or not. There are some things that you need to learn and if the platform is easier to use, it is better for your staff members to access. These days, most of the web platforms are easy to use or navigate, so it is easy to add new pages, images and other content onto your website or blog. WordPress is a popular CMS for web development.  

2. Core Functionality-

One of the most common misconceptions is- all the CMS platforms perform the same functionality like create, edit and organize pages and content. Although it is true at basic level, there is a range of functionality that only few systems can support, for example, eCommerce, event ticketing, multilingual support, multiple website support, and so on. In spite of the popular belief, unused functionality isn’t excess power, its excess weight slows down and makes your system unnecessarily cumbersome. Making a conclusive list of what you need and what you don’t require from your CMS and making provisions for future requirements will help you to make the right decision.

3. Initial Set-up & Deployment-

Although open source CMSs might be available free of licensing costs that saves your money, the framework still needs to be installed and configured to your needs and basically run somewhere. Generally optimizing and configuring CMSs for production use is a complex task. If you have the hosting facility as well as the necessary technical skills, then you can do this without anyone’s help. If not, the most secure option in many cases is using a dedicated vendor to deal with this.

4. Security-

When we hear about selling valuable personal information, online security has become important. So it is important to have a hacker-proof CMS that can resist other types of cybercriminal and for this you have to do detailed research. Today, most of the modern content management are en route to improving their online security. As we have already mentioned, wordpress is the most widely used CMS that has done a lot of improvements over the years. Magento is the best platform for ecommerce according to the SEO point of view.

5. Blogging-

Know more at- https://solaceinfotech.com/blog/7-steps-to-choose-best-cms-for-your-website/