Featured blog posts

7 Levels in Delegation Poker Group activity - Project Management

Delegation is something that every Project Manager should know. We need to delegate tasks to get rid of the Monkeys. Here, Monkeys are nothing but the... Read More

Agile beyond IT – Streamlining The Recruitment Process

Recruitment is a challenging, time-consuming and costly process. It is not only challenging for the recruiter, but also challenging for the candidates... Read More

What is PRINCE2®

PRINCE2® is one of the methodologies which will lend you a helping hand in managing your project in a successful manner.In this article, we will d... Read More

Scrum Master Certification - The Definitive Guide

What is a Scrum Master?The Scrum Master in a Scrum team is responsible for managing the process, while at the same time ensures that the team is obser... Read More

Differences Between Power BI and Tableau: Power BI  Vs Tableau Comparison

Power BI is a Data Visualization and Business Intelligence tool provided by Microsoft. It can collect data from different data sources like Excel spre... Read More

What is Big Data — An Introductory Guide

The massive world of Big DataIf one strolls around any IT office premises, over every decade (nowadays time span is even lesser, almost every 3-4 year... Read More

Essential Skills to Become a Data Scientist

The demand for Data Science professionals is now at an all-time high. There are companies in virtually every industry looking to extract the most valu... Read More

DevOps Engineer Salary

Before we start discussing the salary of DevOps Engineer, let’s understand what DevOps is? DevOps is a software development strategy which bridg... Read More

The Ultimate Guide to the Agile Manifesto

Are you interested in learning about what Agile Manifesto, what Agile’s core principles and values are and what they have to offer to help you b... Read More

Top 20 Data Visualization Tools

Why Data Visualization?Data visualization in layman’s language describes any determined attempt to help people understand the significance of da... Read More


Latest Posts

Introduction Blog To TestComplete

With modern businesses becoming bigger and better, competition is getting higher than ever before. Hence, it’s incredibly important to assure that a company is offering quality products to its consumers to keep up with its competitors. So how a company can deliver a quality product? One particular way is through TestComplete. So, what is TestComplete? TestComplete is an Automated UI Testing Tool developed by SmartBear Software that lets you create, maintain, and execute functional tests across desktop, web and mobile applications. TestComplete helps testers develop their test cases in various scripting languages like JavaScript, Python, etc. It is the only test automation tool you will ever need. TestComplete Components: TestComplete Platform TestComplete Desktop Module TestComplete Web Module TestComplete Mobile Module 1. TestComplete Platform: It powers TestCompleteDesktop, Mobile automated testing tools, and Web which will help you build solid automated tests across multiple devices, platforms, and environment smoothly and instantly. The TestComplete platform is a prerequisite either to use TestCompleteDesktop, Web or Mobile. 2. TestCompleteDesktop Module It imparts support for testing a variety of desktop applications which are created by various languages. TestCompleteDesktop comes with many functional testing capabilities and automated testing  tools, and has everything you need in an automated testing tool. Watch the video about TestCompleteMobile Module here 3. TestCompleteWeb Module: The TestCompleteWeb Module helps you create functional tests for websites and automated Graphical User Interface (GUI), web apps and mobile applications. You can also create robust web tests within a short span of time. TestCompleteWeb comes with diverse features that make automating web testing effective and productive. 4. TestCompleteMobile Module: It allows you to create robust automated tests for web, native, web or hybrid mobile Android applications. There is no need to root your devices since it provides full device control. TestComplete License Types and License Cost: TestComplete licenses include the following information: The names of the product modules and add-ons you can use The number of product instances that can work concurrently TestComplete licenses are of two types: Node-Locked License Floating User License 1.Node-Locked License:This is a license for a software application which is assigned to one computer or dongle. This license is also referred to as Single Use License, Device License, Machine Based License, etc. This can’t be activated on virtual computers, and you can use other licenses like Floating User license or TestExecute if you need to run tests on virtual computers. 2. Floating User License:Floating User License is often used for high-value applications in corporate environments such as engineering tools and electronic design automation. Floating User License is a common way for a company to share a limited number of licenses among its FME users. 3. TestComplete Prices: The prices for TestComplete cover 12  months of support and maintenance: For Node Locked: LicensePrice (USD)TestComplete Platform988TestComplete Mobile Module1295TestComplete Web Module995TestComplete Desktop Module995For Floating Users:LicensePrice (USD)TestComplete Platform2498TestComplete Mobile Module2595TestComplete Web Module1995TestComplete Desktop Module1995Features of TestComplete TestComplete is an automated testing tool which is easy to create automated tests. It provides special features for creating tests, automating test actions, running tests, etc. It helps you improve your test coverage and assures a high-quality software. Let’s dive deeper and understand the features of TestComplete.  1. Distributed testing:TestComplete can run several automated tests across separate workstations.  2. Test of record and playback:It records the key actions required to replay the test and rejects the unnecessary actions.  3. Test Visualizer:TestComplete help you capture screenshots automatically during test execution and playback. This allows you to do a quick comparison between expected and actual screens during test.  4. Scripted testing:TestComplete has a built-in code editor which helps testers write scripts manually. You can write test scripts from scratch or modify the recorded ones.  5. Access to methods and properties of internal objects:TestComplete reads the names of the many internal elements of .NET, Java, Visual basic applications, Delphi, etc,, and also other visible elements. Benefits of TestComplete TestComplete is benefited in many ways. It has an open flexible architecture that enables users to automate applications across various browser and platforms. It also has built-in test samples to help you to get started with the tool. TestComplete is the most stable tool. Let’s discuss the top reasons to use or learn TestComplete.  1. Simple and easy to use:With its simplistic continuous integration feature, it turns out to be easily accessible and usable. People who don’t know any code can also use this.  2. Swift execution:TesComplete help you to create precise and repetitive automated testing quickly on different devices. Test Visualizer helps in saving time for developers while debugging.  3. Customization:In TestComplete, you will have an option to write or edit script manually if you find the editor tool insufficient.  4. Timely updates: With TestComplete you can always expect immeasurable customer support, high levels of maintenance, and regular updates. Cons of TestComplete:- TestCompleteLicense cost is a bit high, but it is still cheaper than QTP Only supports Windows It doesn’t support Mac There is not enough support available through open communities It is not easy to start with official documentation Career in TestComplete TestComplete is one of the best automation tools available in the market. With the increase in demand and changes in technology. TestComplete is highly popular nowadays. As the leader in the Gartner report for Test Automation tools in 2018,  there are plenty of opportunities available for professionals with skills in TestComplete. Are you considering making the switch to TestComplete? Then develop the essential skills to transform into a TestComplete professional. Taking up the TestComplete training will help you learn the fundamentals of the TestComplete tool and also provides in-depth knowledge on advanced level concepts. Carey Payette says “Training comes in handy to get a jump on new technologies and become more comfortable with them”.For software professionals, it is a must-have qualification to stay relevant and updated with advancements in the current market industry. The more technical and automated skills you have, the more marketable you will be as a tester. A survey conducted by ZipRecruiter says that the average annual pay for an Automation QA Tester in the United States is $87,521 a year. So, make the right decision to skill up withTestComplete, and step into the world of Automation testing! 
Rated 4.5/5 based on 14 customer reviews
Introduction Blog To TestComplete

With modern businesses becoming bigger and better,... Read More

Top 6 Tips To Learn Tableau

If you deal with a significant amount of data at work, then Tableau is surely a must-have tool for you. It is not only a data visualization software but it is also considered to be among the best tools available for business intelligence.  So, is it easy to learn? Well, learning Tableau requires the same amount of time, effort and dedication that you need to learn any of the statistics tools. Here are a few tips to help you to pace up your learning process of Tableau.Tip 1: Download and install Tableau Begin your data visualization journey by downloading and installing Tableau. It offers five main products that cater to diverse visualization needs for professionals as well as organizations. They are: Tableau Desktop: Created for individual use Tableau Server:  It enables collaboration for any organization Tableau Online: For Business Intelligence in the Cloud Tableau Reader: Allows you to read files saved in Tableau Desktop Tableau Public: Enables you to publish interactive data online. You can start by downloading the trial version of Tableau Desktop that’s free for 14 days. Just follow the steps to install it into your system. Once your free trial is over after 14 days, you can continue with your data visualization journey with Tableau public which comes with its own limitations of sharing your data publicly. Tip 2: Enroll for a Tableau training Confused about how to begin your Tableau journey? You can always enroll for training with a reputed training institute like KnowledgeHut to learn Tableau at a rapid pace. These courses are created by practitioners and enable you to learnin depth about each of the steps needed to complete tasks . Moreover, you will get guidance from industry experts.  Enrolling for training further gives you real-world experience while exposing you to the practical ways of solving business problems. Tip 3: Learn Tableau with large and clean data    Increase your pace of learning Tableau by diving deep into the data, using large and clean data sets for producing incredible visualization.  Tableau provides a public gallery where you can find Tableau workbooks.  The Tableau workbooks consist of various data visualization sheets and data extracts. You can quickly mimic the filters, formulas as well as graphs in order to improve your skills. You can also look for trends, relationships, and insights by using the fresh datasets available. Tip 4: Visualization and Analysis So, how does Tableau help you? Its primary motive is to build fantastic visuals, and the platforms are specially designed in order to communicate data insights through visuals.  But why do you need analytics skills in Tableau? Well, it is essential for you to develop analytical skills in order to master Tableau, as it is one of the core skills you need for your visualization career. Further, you need to use the charts and diagrams in order to make effective use of Tableau. You can expect to find yourself lost while trying many things at one time, but be sure that you will soon gain proficiency in the tools you need.  Tableau restricts the user from selecting charts that are not in line with the visual best practices. Tip 5: Be a part of the community Got stuck while working with Tableau? Fret not! You can choose from hundreds of Tableau communities to make your learning more effective. These communities are filled with data scientists, hobbyists, as well as visual data artists whom you can approach in order to learn Tableau as a beginner or even as a professional. Tip 6: Get introduced to Tableau Server and Online It is very essential for you to learn to schedule the tasks as well as provide authorization in order to enable data security by using Tableau server and online. Although this should be taken care of by Tableau administrator, having the knowledge of these concepts helps you in dashboard development.  On a concluding note Data analytics plays a crucial role in terms of business analytics and Tableau is one of the fastest evolving Business Intelligence (BI) and data visualization tools. One of the other reasons for its popularity is that it’s fast to deploy, easy to learn, and very intuitive to use for a customer. This blog introduces you to a few tips to simplify your Tableau learning process. Moreover, these tips will provide you with a structured approach in order to pace up your learning of Tableau. Wish you all the best for your Tableau journey! 
Rated 4.5/5 based on 11 customer reviews
Top 6 Tips To Learn Tableau

If you deal with a significant amount of data at w... Read More

Swift Vs Python

Programming Languages: Their popularity Every passing year witnesses changes in the preferences of programming languages. Some of them get knocked off the perch, while others continue growing. In recent years, two programming languages stand out from the rest and are rapidly growing in popularity. Those two are Swift and Python. In this article, we will talk about the attributes of Swift and Python, their pros and cons and how they are similar to each other. Read along to know more. What they are  Swift and Python. One is a general-purpose, multi-paradigm, object-oriented, functional, imperative and block-structured language while the latter is a widely-used general-purpose, high-level programming language.  Python was originally designed by Guido van Rossum in 1991 and further developed by Python Software Foundation. It was developed to stress code readability along with its syntax enables programmers to code less to express their concepts. It helps coders to speed up the workflow and integrate systems more efficiently. In a survey by Stack Overflow in 2017, Python was the fastest-growing programming language. This resulted in numerous companies prominently using Python as their programming language, the list including Quora, Netflix, Dropbox, Reddit, Facebook, Spotify, Instagram, etc.  In terms of Python’s usability shown above, Data analysis goes first, followed by web development, machine learning, and DevOps. However, Python is less used for educational purposes, prototyping, and Quality Assurance Services. Now talking about Swift, it was designed and released in 2014 after conducting fresh research on programming languages and by using a modern approach to safety, software design patterns by Apple Inc. It is a completely new programming language for the iOS application, macOS application, watchOS application, tvOS application. Needless to say, it quickly grew to be one of the top 5 programming languages and became the most used programming language among the Apple developer community within a short span of than 5 years, also effectively replacing the previously used Objective C. Let us share an important piece of information with you. According to a survey done on the most popular programming languages, Python takes the first spot with overwhelming popularity with a share of 25.36%, whereas Swift is climbing up the ladder at the 9th spot with 2.69% share. The table is mentioned below:Advantages and disadvantages of using Python  Advantages In this section, we will focus on the criteria that make Python a truly developer-friendly language. As we learnt that Python has its uses in numerous lines of work, we will find out how it ticks the checkboxes of the required criteria. Simplicity and readability One of the prime benefits of using Python is that it is simple to code and read. Of course, it is not a repetitive language to follow but is very similar to English and hence is easy to follow. Moreover, Python is a good choice for beginners in programming Multi-paradigm It is a programming language that is object-oriented as well as procedural. Its procedural paradigm allows reuse code and object-oriented methodology allows varied inheritances and summarising data and functions as one Open-source As Python is open source, you can download and modify its source code. This versatile feature led to the formation of a strong community that keeps growing stronger Integration with other languages Being an extensible and embeddable language, programmers can easily integrate Python to Java applications, C, and C++ Portability and compatibility Python is compatible with various platforms. If required, users do not require to change the code before moving the project. to be moved to another platform Vast collection of libraries Being in the game for a long time, Python boasts having a strong community with a vast range of libraries and frameworks for different purposes. providing programmers with a wide spectrum of opportunities. Additionally, libraries like Pandas, Plotly, NumPy, Pipenv, and others and are included as well. Django, Flask, CherryPy, and PyTorch are.among the most famous frameworks. Disadvantages With the pros come the cons. There is also the other side of a coin that needs attention. In spite of having a long history in the programming world, Python still has several weak sides. Not ideal for Mobile development Python is not a good solution for mobile developers. However, a come-around solution with a few challenges is Kivy - a cross-platform Python framework for developing mobile apps Design restrictions There are specific design limitations in Python. Being dynamically typed language using duck typing, Python automatically identifies a type of a variable and can cause runtime errors Although it is not frequent, it does make errors at times.  Memory consumption Python consumes high memory and is definitely not a good option to run intensive memory tasks. Swift pros and cons Being a relatively new programming language, Swift was launched at the WWDC conference in 2014. According to Apple, the primary features of Swift is that it is fast, modern and interactive. Swift's creator Chris Lattner his creation was a result of ideas inspired by different languages such as C#, Ruby, and especially by Python. That's why we can easily find a couple of similarities between Swift and Python. Nevertheless, let’s see what the pros and cons of Swift are. Advantages Easy to read and maintain The Swift program codes are based on English as it acquired syntaxes from other programming languages, thus making the language more expressive Scalable More features to Swift, so it is a scalable programming language. Swift has already replaced Objective C and Swift is what Apple is relying on Concise Swift does not include long lines of code and that favours the developers who want a concise syntax, thus increasing the development and testing rate of the program Safety and improved performance Almost 40% better than the Objective-C, Swift is handier to tackle the bugs that lead to safer programming when speed and performance is concerned Cross-device support This language can handle a wide range of Apple platforms such as iOS, iOS X, macOS, tvOS, and watchOS Automatic Memory Management This feature prevents memory leaks and helps in optimising the application’s performance that is done by using Automatic Reference Counting. Disadvantages Compatibility issues The updated versions Swift is observed to be a bit unstable with the newer versions of Apple leading to a few issues. Switching to a newer version of Swift is the fix but that is costly Speed Issues This is relevant to the earlier versions of the Swift programming language Less in number: The number of Swift developers is limited as Swift is a new programming language Delay in uploading apps Developers will be facing delays over their apps written in Swift to be uploaded to the App Store only after iOS 8 and Xcode 6 are released. The estimated time for release is reported to be September-October, 2014. Common attributes of Swift and Python Swift and Python are predominantly contrasting languages. Despite that, the do possess some common traits. Let’s see what they are. Both Swift and Python have a distinct syntax and are very similar to the English language. Missing semicolons while coding in either Swift or Python will not result in errors. Both languages have a REPL environment that aids in detecting errors in code and debugging Both are multi-paradigm programming languages They have additional tools to facilitate learning. What makes Swift and Python different from each other? From the previous discussions in this article, it is crystal clear that Swift and Python are fundamentally different from each other. Apple’s Swift is ideal for developing software for the Apple ecosystem while Python can be utilised for use cases but is mainly applied in back-end development. Moreover, as Apple claims, Swift is 8.4x faster than Python in terms of performance. Choosing between Swift and Python depends on the intent of the programmer. If the purpose is developing mobile applications that need to work flawlessly in the Apple platforms, then Swift is the ultimate choice. However, if the intentions are to develop artificial intelligence, design a prototype or build the backend, then Python is the one. In the end, what matters is the intent So now we see that in fact choosing Python or Swift for coding mostly depends on your purpose. If you are fond of developing mobile applications that will work seamlessly on Apple operating systems, you should definitely choose Swift. Python is good in case you want to develop your own artificial intelligence, build the backend or create a prototype. There is no hiding the fact that both Swift and Python are good at what they do. While Python has been a game-changer for years, Swift has been rapidly rising up the ranks. Comparing the two directly is a bit unjust as each one of the two has their own uses. The best person to select the right programming language is you! So be the judge of your decision. Good luck! 
Rated 4.5/5 based on 19 customer reviews
Swift Vs Python

Programming Languages: Their popularity Every pas... Read More