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Introduction to Linux QT

QT is defined as an app development framework that is intended for cross-platform development activities. The development activities include developing apps for mobile, desktop, and embedded applications. The QT framework supports Linux and platforms like Windows, iOS, Android, OS X, and many others. Though for the matter of the article, we will discuss an end to end about QT only keeping Linux in mind. Some of the organizations widely use QT for their app development, and these include Siemens, AMD, Telegram, etc. last bit of intro for QT is that this framework is written in C++, and hence the apps written on it can be compiled through any standard C++ compiler.

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How does Linux QT work?

Before learning about the working of Linux QT, let us understand how to pronounce it! QT is pronounced as “cute”. It is an app development framework, as we talked about when we were looking at the definition, but one needs to also know that the QT framework is not a programming language and instead just only a framework written in C++. After the compiler is written in C++, a pre-processor or other words, compiler, known as MOC (Meta-Object Compiler), is used for extension of the C++ language and its features.

Now let us understand how QT works. A developer writes the code for all utilities of the app in the QT framework. Once the codes are developed and validated for their logic, one needs to run the compiler. Before the source files reach the compiler, the Meta Object Compiler parses all the source files which are written in the Qt framework; the extended version of C++, standard complaint C++ source codes are generated for compilation. For the compilation of the framework itself or the application or libraries using it, any standard C++ complaint compiler can be used as they are capable of reading the C++ complaint codes generated by the QT framework.

Now the next important thing for us to know is how a QT program is compiled. In QT, though there is a system known as QT creator that invokes the build system, it is interesting and important to know the compilation of QT programs. In the case of smaller programs, it becomes very easy to perform the compilation manually by creating the object files and then linking them in a particular fashion to achieve the desired result, but the challenge in a larger program where the command line is hard to write.

In Linux, the programs are compiled by the use of makefile, where all the command lines are described for execution and in larger projects, making the makefile is tedious. To solve the problem of making the makefile, a build system comes bound with QT, known as qmake, which performs the job of making the makefile. The makefile prepared using qmake includes the meta-object extraction phase, which is responsible for the extension of C++ in the QT framework. Now summing up the compilation which happens in 3 phases:

.pro file is created, which describes the project which needs to compile.

Makefile is generated using the qmake.

The program is then built using make.

How to use Linux QT?

For building QT on any platform, the below-listed steps are followed. Now, since this article is particularly for Linux, let us walk through the process of building or using QT on a Linux system.

Source code archive is downloaded.

The easiest and most convenient way to download the QT is by browsing for the download server and then navigating to the appropriate directory. After navigation, the official source code is found as the system specification and then downloaded. Some people also prefer the Linux command line for downloading the file, using the wget command.

The source code is extracted to a working directory.

The development packages and other build dependencies are installed for QT.

QT is configured for desired options and made sure that all dependencies are met.

This step will help identify the options that will be enabled and then create the make files required for the build. The syntax for initiation is by running a shell script by ./configure.

QT build is started

In this step, the build is performed by running the command make.

The new version is installed and tested.

The final version is to test the new version of QT and is done by running

sudo make install


Quite a mature platform vetted by major players in application development.

Well-designed framework. Some might argue it to be the best-designed framework.

The user base for QT is quite exemplary.

The documentation is well written.

Stability on the major platforms.

The cross-platform way of working enables many kinds of stuff that desktop application often needs to do.

As it is written in C++, some people who don’t use C++ might find it clumsy at an aesthetic level.

The use of a MOC adds a bit of complexity.

QT doesn’t reply on standard libraries, and as a result, many times, wheels must be reinvented. For example, making a string class again!

A lot of ownership change has happened for QT; hence the future is still debatable!


Design Tools

Example: QT Design Studio, QT designer, QT quick Designer

Development Tools

Example: QT QmlLive, GammaRay, Emulator

Framework Essentials:

Example: QT Core, QT GUI, QT Multimedia

Framework Add-on

Example: Active QT, QT Canvas 3D, QT Android Extras


With the different aspects being touched upon by this article, we by now have a clear picture of QT and the essential aspects of this framework. The next steps lie in the hand of the reader to try out these steps and create something exciting as an application to use!

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Crowdsourcing Sentiment Analysis: How It Works & Its Benefits

“There is too much data but too little time.” 

– Jeanine Evers, Qualitative Researcher at Erasmus University Rotterdam.

As consumer data grows exponentially, it becomes challenging to analyze all of it. So, companies started to use machine-based algorithms to understand their customers’ feelings and thoughts. However, research shows that even though automated methods save time and money for some projects, manually labeling and analyzing the data results in more accurate classifications for others.

To understand consumers’ feelings and thoughts, sentiment analysis is required; however, manual labeling of all consumer data can be labor-intensive and expensive if performed in-house. Many business leaders opt for crowdsourcing methods to mitigate these issues and maintain a high labeling accuracy.

This article examines manual and automated sentiment analysis methods, their strengths and weaknesses, and introduces an alternative method that can compensate for their inadequacies: Crowd-sourcing sentiment analysis. 

Figure 1. A comparison of manual, automated, and crowdsourcing sentiment analysis and their accuracy scores Manual Sentiment Analysis

Companies can identify the intention behind consumers’ reviews, feedback, or texts by manually labeling the terms based on their emotional tone and understanding the sentiment behind texts.


Provides in-depth analysis and the most accurate results.

Differentiates linguistic nuances such as sarcasm, irony, or slang.

Assess the complexity behind texts.


Takes a great amount of time.

It is expensive.

It may include the annotator’s bias.

Automated Sentiment Analysis

As manually labeling the data requires great effort and is time-consuming, companies also use machine learning algorithms to train their dataset and reduce costs. Automated methods extract the relevant data and label the texts based on their emotional tones. 


It is cost-efficient and not labor-intensive.

Reduces bias in the results.

Automated methods provide inclusive and consistent data analysis due to the possibility of data being overlooked in the manual analysis method due to fatigue.


Provides misleading results when the dataset in one domain is used to train the algorithm in another discipline.

Does not differentiate emojis, slang, sarcasm, or irony. However, emerging technologies started to implement features that can identify language nuances.

Requires a large number of data to have high accuracy scores.

Has a learning curve.

Needs manually coded training data.

Figure 2. The learning curve of machine learning algorithms What is crowdsourcing sentiment analysis, and what are its benefits of it?

Crowdsourcing is a method that has become popular, especially in recent years, and it includes paid workers or volunteers who complete a range of tasks to solve specific problems. As there is human involvement, crowdsourcing methods provide higher accuracy scores regarding consumers’ sentiments. 

What are the benefits of crowdsourcing sentiment analysis?

It is more transparent.

It provides more accurate results than automated methods, especially in the fields that require subjective decisions such as classifying emotions.

It can reduce ambiguity as different people can evaluate the same content.

Figure 3. The benefits of crowdsourcing 

For more in-depth knowledge on sentiment analysis, feel free to download our comprehensive whitepaper:

Also, check our data-driven list of sentiment analysis services to find out which option satisfies your company’s needs.

Please contact us if you have any additional questions about sentiment analysis:

Begüm Yılmaz

Begüm is an Industry Analyst at AIMultiple. She holds a bachelor’s degree from Bogazici University and specializes in sentiment analysis, survey research, and content writing services.





How Django Mail Works With Programming Examples

Introduction to Django Mail

Apart from the SMTP mail connectivity offered by Python, Django also provides the chúng tôi library for handling email requests. Any email-oriented process can be handled very flexibly by this library. We can use this library to send emails to external users, website admins, and website managers; emails with attachments and even emails to a bulk set of mass users can be triggered. Adjusting the email delivery process in Django-based frameworks can easily meet individual needs and significantly speed up the process.

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Web development, programming languages, Software testing & others

How does Django Mail work?

Given below shows how Django Mail works:

1. To connect the email setup to Django, the below-listed email configurations should be in the chúng tôi file.


EMAIL_HOST_USER − SMTP server login credentials.

EMAIL_HOST_PASSWORD − SMTP server password credentials

EMAIL_PORT − port of SMTP server.

EMAIL_USE_TLS or _SSL − True if secure connection.




The email backend protocol used is referred to in the EMAIL_BACKEND variable. Some of the protocols are SMTP, SMTPS, IMAP, etc. By default, Django utilizes the SMTP protocol. Here, we explicitly mention the SMTP representation through the variable ‘django.core.mail.backends.smtp.EmailBackend’.


The email port refers to the email provider’s port which is opened for SMTP connectivity.

Example: for yahoo the port number is 465


Please provide the username for the email account that we need to connect.

Example: [email protected]


This represents the password of the corresponding email account.


This parameter is used to mention whether TLS secure connection needs to be turned on or not.

2. The next critical step is using django.core.mail.

The chúng tôi library has four methods for handling emails.

a. send_mail()


send_mail(subject, message, from_email, recipient_list, fail_silently=False, auth_user=None, auth_password=None,connection=None, html_message=None)


This method sends the email and posts the number of messages delivered.

b. send_mass_mail()


send_mass_mail(datatuple, fail_silently=False, auth_user=None, auth_password=None, connection=None)


Sends mail to a wide set of people; the data tuple combines the below elements.

(subject, message, from_email, recipient_list)

c. mail_admins()


mail_admins(subject, message, fail_silently=False, connection=None, html_message=None)


Sends mail to side admins as the admin names are declared in the ADMIN settings.

d. mail_managers()


mail_managers(subject, message, fail_silently=False, connection=None, html_message=None)


Sends mail to side managers as the Manager names are declared in the MANAGER settings.



Note: The major difference between send_mail() and send_mass_mail() is for send_mass_mail(), the server connections remain permanent, whereas for send emails, it is established for every send mail call.

3. Creating a temporary smptp server within the system for debugging purposes.

python -m smtpd -n -c DebuggingServer


Examples of Django Mail

Given below are the examples mentioned :

Example #1

The email is captured in the temporary SMTP server in the first example. The server is set up to hear at port 8001. Also, the Django server localhost id ( is set as the hostname here.

a. Make the email configurations in the chúng tôi file.

chúng tôi

EMAIL_BACKEND = ‘django.core.mail.backends.smtp.EmailBackend’ EMAIL_HOST = ‘’ EMAIL_PORT = 8001 EMAIL_HOST_USER = ” EMAIL_HOST_PASSWORD = ” EMAIL_USE_TLS = True

b. Set the view for email processing. The send_email() method triggers the email by tagging it with three fields captured from the front-end webpage through the form.

chúng tôi


def email_sending(request): email = emailform() if request.method == 'POST': email_id =  request.POST['email'] email_subject =  request.POST['email_subject'] email_message =  request.POST['email_message'] res = send_mail(email_subject,email_message,'[email protected]',[email_id],fail_silently = False) return HttpResponse('%s'%res) return render(request, 'emailpage.html',{"email":email})

chúng tôi


from django import forms class emailform(forms.Form): email = forms.EmailField() email_subject = forms.CharField() email_message = forms.CharField(max_length = 2000)

c. Formulate the template for preparing the webpage.


{% load static %} body { background-image: url(“{% static ‘admin/img/background.jpg’ %}”); background-color: #acccbb; } .myDiv { border: 5px outset red; background-color: lightblue; text-align: center; font-family: “Comic Sans MS”, cursive, sans-serif; font-size: 14px; letter-spacing: 2px; word-spacing: 1.8px; text-align: left; color: #02071C; font-weight: 200; text-decoration: none; font-style: normal; font-variant: normal; text-transform: capitalize; } {{ email.as_p }} {% csrf_token %}


Server port:

Example #2

The second example triggers the email using a valid mail account.

a. Make the email configurations in the chúng tôi file.

chúng tôi


EMAIL_BACKEND = ‘django.core.mail.backends.smtp.EmailBackend’ EMAIL_PORT = 587 EMAIL_HOST_USER = ‘[email protected]’ EMAIL_HOST_PASSWORD =  ‘*********’ EMAIL_USE_TLS = True

b. Formulate the template for preparing the webpage.


{% load static %} body { background-image: url(“{% static ‘admin/img/background.jpg’ %}”); background-color: #acccbb; } .myDiv { border: 5px outset red; background-color: lightblue; text-align: center; font-family: “Comic Sans MS”, cursive, sans-serif; font-size: 12px; letter-spacing: 1px; word-spacing: 1.7px; text-align: left; color: #02061C; font-weight: 100; text-decoration: none; font-style: normal; font-variant: normal; } {{ email.as_p }} {% csrf_token %}



Email snaps:


The above article provides clear explanations and practical examples on how to set up and trigger real-time email SMTP through the debugging process.

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How Random Works In Kotlin With Examples?

Introduction to Kotlin Random

Web development, programming languages, Software testing & others

Syntax of Kotlin Random

In kotlin language has many default classes, methods and keywords for to implement the application. Like Random is one of the abstract class types, and it is used to generate the pseudo-random number generator; it has its own keyword and its syntax for to perform the operations in the code.

fun name() Assert.assertTrue((0..1000).all{   (0..10).contains((0..10).random()) } ) Assert.assertFalse(((0..1000).all{ (0..10).contains((0..10).random()) } } { }

The above code is the basic syntax for utilising the random class and its method for to calculate the pseudo-random number generations.

How Random Works in Kotlin?

The random number generation is like a pseudo number sequence; it generates automatically and random manner.  It returns a repeatable and sequence order with seeded on the data type like two generators with the same seed produce for sequence number range also the same version of kotlin runtime polymorphism. With the help of a random number generator algorithm, the numbers are calculated, generating sequence. While on the JVM machine, the random number generator is not the thread-safe, and it does not invoke it with the multiple thread sequences; it is also arranged with the synchronization.

So that two seeds can produce with the same sequences of values within the kotlin runtime versions. Based on the algorithm, the user inputs are accepted with initial ranges that can be the seed or key so we apply that seed in the sequence manner with some mathematical operations for to generate the output results. So that output we named it random number use that also results in random number will give the next set of iterations to continue their tasks. So it’s not possible for generating the true random numbers. So it has two types like non-deterministic random number generator and true random number generator. Non-deterministic random number generators are also called as pseudorandom number generators.

Examples of Kotlin Random

Given below are the examples of Kotlin Random:

Example #1


package one; import java.util.Random val rd = Random() object Tests { var infos = "Welcome To My Domain its the first example that related to the kotlin random function" } val vars = arrayOf("'Your first inputs' - Its the Monday", "'The second inputs' - Its the tuesday", "'The third inputs' - Its the Wednesday", "'The fourth inputs' - Its the Thursday", "'The fifth inputs' - Its the Friday", "'The sixth inputs' - Its the Saturday ","'The seventh inputs' - Its the Sunday", "'Every object has the separate attributes and its elements' - Programming language") val vars1 =  arrayOf("'Your eight inputs'- programming concepts and its implemnetations","'The most important things in the life are the day you are born and the day you find out why'- what is the reason for this") val vars2=arrayOf("'The life is more precious things and don’t wasted every single minute in a day you are born and the day you find out why.' - Great legend","'Great lengends are more powerful when compare to the others life are the day you also born with the silver spoon' - The Legendary things") fun res(at1: Int, at2: Int) = rd.nextInt(at2-at1+1)+at1 println(vars1[res(0,(vars1.size)-1)]) println(vars[res(0,(vars.size)-1)]) println("Thank you users have a nice day users keep spending your valuable time with us") }


In the above example, we used the arrayOf() method in the variable, and we validated the integer number and generate it randomly.

Example #2


package one; import java.util.Random fun demo(strleng: Int) : String { println("Welcome To My Domain its the second example that related to the kotlin random concepts") val inpstr = "ABCDEFGHIJKLMNOPQRSTUVWXTZabcdefghiklmnopqrstuvwxyz0123456789" return (1..strleng) .map { inpstr.random() } .joinToString("") } fun second(){ lst.add("The input is entered on the text box is: 0") lst.add("The input is entered on the text box is: 1") lst.add("The input is entered on the text box is: 2") lst.add("The input is entered on the text box is: 3") lst.add("The input is entered on the text box is: 4") lst.add("The input is entered on the text box is: 5") lst.add("The input is entered on the text box is: 6") lst.add("The input is entered on the text box is: 7") lst.add("The input is entered on the text box is: 8") lst.add("The input is entered on the text box is: 9") for(i in lst) print("The arryList are iterated please find your input values $i ") } fun main() { val strleng = 13 val res = demo(strleng) println(res) }


Example #3


package one; import java.util.Random interface infy  { fun third(strl:String) : String{ println("Welcome To My Domain its the third example that related to the kotlin random concepts") val inpstr = "Valuable Inputs must be entered and its more important for validation with both front and back end" return (inpstr) .map { inpstr.random() } .joinToString("") } } class Test{ fun four(leng:Int):String {println("Your operations are starting") val chs = ('a'..'z') + ('A'..'Z') + ('0'..'9') return (1..leng) .map { chs.random() } .joinToString("") } } fun main() { val num=17 val strs=Test() println(strs.four(num)) println("Your operations are ended") }


In the final example, we used class and interface are additionally added for to perform the random() function.


In the kotlin language, mobile applications are intermittently added some default methods to perform the user tasks according to the software requirement. But some mathematical operations are needed to be performed without affecting the application functionality like that random is one of the default class and methods for performing these operations.

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How Jira Automation Works With Key Concepts

Introduction to Jira Automation

Jira automation is one of the tools that Jira provides; we know that automation is used to implement regression, which means avoiding repetitive tasks and manual work. So Jira automation offers the functionality to automate the processes and workflow of their respective team as per our requirement. Moreover, it provides powerful rules of automation to handle complex scenarios. Therefore, in Jira automation, one of the essential concepts is automation rules that help us automate the actions within specified systems based on the criteria.

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Jira is among the world’s most well-known projects; the board and work process is the executive’s apparatuses for deft programming improvement groups and tech new businesses. Jira’s primary assets are its automation, which permits clients to computerize their errands and task refreshes in the event of other conditions. Automation speeds up your work, opens up assets, and decreases the possibilities of any bungle in the task life cycle.

It is an element in Jira Software and Jira Cloud applications that permits clients to completely robotize their undertaking of the executive’s processes utilizing on the off chance that these conditions are in light of various occasions in Jira. It assists you with mechanizing routine assignments that consistently gobble up hours of your time and permits you to zero in on esteem creation and critical thinking errands. It is a “no-code” highlight meaning anybody can make automation rules in Jira regardless of their technical or coding information.

With the help of Jira automation, we automate various tasks as follows:

We can close the parent task automatically and automatically complete the subtask.

We are also able to assign the task to specific team members.

We can discuss different customer issues from the other Jira application.

By using Jira automation, we can send ongoing status to the customers.

How Does Jira Automation Work?

Typically features of Jira automation are based on if-then rules, as shown in the following screenshot as follows:

For instance, you can set up a computerization arrangement to make cautions to applicable colleagues, assuming your in-progress errands surpass a specific limit. Or, naturally, make sub-errands for each new issue in your Jira sheets. In any case, all computerization successions in Jira depend on specific variables. Therefore, you should comprehend what these variables mean to use automation in Jira completely.

Jira Automation Key Concepts

The key concepts in Jira automation are as follows:

1. Rules

2. Triggers

Typically every rule starts with a trigger and specified execution of our practices. Using triggers, we can list all events in Jira to say when we created an issue and changed value. Another important thing is that we can schedule the trigger, and as per our requirement, we can customize the applied rules. For example, the following screenshot shows the new trigger window as follows.

3. Conditions

Conditions permit you to limit the extent of your standard. They should be met for your standard to run. For instance, you can set up your standard to raise an issue, assuming it is highly needed. If the condition fails, the working of rules will stop, as shown in the following screenshot.

4. Actions

Activities are the practitioners of your standard. They permit you to mechanize assignments and make changes inside your site. They allow you to perform many undertakings, like altering an issue, sending a notice, or making sub-errands, as shown in the following screenshot.

5. Branching Issues

6. Smart Values

Savvy values permit you to access and control a broad scope of issue information inside your site. They can add tremendous power and intricacy to your standards.

7. Rule Actor

The standard entertainer is the client who executes a standard. This client should have the relevant consents to set off the bar and complete any activities that might be performed. For instance, assuming a measure that will remark on an issue when executed, the standard entertainer should have the Add remark authorization; otherwise, the bar will bring about a blunder.

8. Rule Status

We can view the automation status if the current rule is active or not, showing the situation in the following manner.

Enabled: This show’s current rule is active.

Disabled: This show’s current rule is not active.

Draft: This is used to show unpublished changes.

Audit log: In Jira automation, every rule has an audit log that can be used to review the law.


With the help of the above article, we saw JIRA automation. From this article, we saw basic things about JIRA automation and the integration of JIRA automation, and how we use it in JIRA automation.

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How To Monitor Linux System Health And Performance With Netdata

Netdata is a tool used for health monitoring and distributed real time performance of machines. It gives insights on anything that happens to a system through web dashboards.

Features of Netdata

Uses a responsive bootstrap dashboard

It is light and very fast, hence using fewer resources

Little to no configuration is required to get started

It is able to monitor the whole system

In this article we are going to learn how to install Netdata on a Linux system and will show examples. Like I said before, it is very light and does not need any special hardware or software requirements to get it running.

Note: this article was written with a Ubuntu machine. Most of the commands will work, regardless of the distro you are using.


Run the following command for a basic Netdata installation:

After getting the output above, you can then press Enter to install all the dependencies. You will then get a message that asks you to proceed to the next step, as shown below.

You can now download Netdata by running the command below and make netdata the active directory after it is done downloading:




You will now see the following output.

Press Enter to continue with the installation. At this step the installer will be compiling the source and installing it, and you will be able to get the following output if you were successful.

Netdata daemon configurations are now held at “/etc/netdata/netdata.conf” which was created for you.

Configuration and Usage

To start netdata, you can run this command:








And this command stops it:




Netdata shows you the above commands on a successful install. It also shows you the link to use if you want to access the charts and graphs it creates. In my case the following image is what it shows.

If you visit the link, you will see the following image.

You can set Netdata to start automatically on system boot by running the following commands:















Stored data. Netdata stores only data from the past hour. Change this from “history = 3600” to “history = (your choice).”

Update interval. Netdata takes a second to refresh the charts and graphs in displays. To change this, change update every = 1 to your choice.

Port. Netdata uses port 19999. You can change this port to any other one that you want.

If there is a newer version of Netdata released that you would like to update to, you can use the command below which gets the new version and updates Netdata:



git pull




Running these commands uninstalls Netdata:


netdata .




Netdata is a very useful tool. In a situation where you are running a system that is too slow or a server that is not working to your expectations, use Netdata to monitor their performance and find out what could be wrong. It allows you to monitor the CPU, memory, disks, network interfaces, IPV4 and IPV6 networking, interprocess communication, Netfilter, and processes among other items, therefore giving you the ability to understand your machine and configure it accordingly.

Jackson Mwendwa

I am an intelligent and presentable individual with a degree in Computer Science and over four years experience in Management, Software Development, Information Technology Support and Tech article/tutorial writing. I possess a fresh, modern approach to the industry, employing creative and enthusiastic methods to problem-solving and would like to realize my full potential through practice, effectiveness, and innovation.

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