Essential tools for a successful front-end developer


Front end specialists are engaged in the layout of the site template, modeling and testing of user interface fragments. Typically, the front end job is collective and requires skills from different areas of programming, marketing and design.

A modern front-end developer must perfectly understand the basics of UX / UI design, programming and commercial features of an online project. The vacancy requires at least knowledge of HTML language, CSS style sheets, JavaScript and basic technologies of software platforms. Many specialists use frameworks, template solutions and their own best practices. If we consider in detail the functionality of the Front end developer, then the needs from various segments of the development of an online resource are presented here.

Based on the multi-vector responsibilities, front-end development includes tools from various segments of online modeling. Many companies today offer frontend development services.

CSS constructs

Correct integration of CSS styles allows you to create a robust website skeleton. A website template can be responsive, static, or fluid. Despite the large number of applications that can provide similar effects, conditional separation remains.

After the project is approved, the specialist can use various tools to model CSS designs and achieve the set business goal. Today the most popular online tool for editing stylesheets is CSStemplater. The versatility and a large number of tutorials make it easy to practice this technology for any type of web resources.

There are many generators available for generating and cloning CSS properties. The simplest and most effective CSSsir generator that allows you to compile and apply the properties of the desired styles in one click.

Dynamics and animation tools

JavaScript and jQuery libraries are indispensable helpers for the layout of dynamic blocks of the site. No multi-page project is complete without Java scripts. Most of the giants in the IT industry use JavaScript dynamic extension technologies.

When it comes to front-end development, it is very important to navigate JavaScript technologies. When using an responsive engine, you need to provide a high-quality appearance for any format. JavaScript allows you to manage movable structures and layout site blocks, taking into account possible changes in size. Mobile app design services are very popular today. This makes applications more interesting and engaging.

HTML editors

The most famous editors for compiling and editing HTML code: Jade, Slim, Haml. Just like CSM editors, these tools are needed to simplify program code, edit data and automate processes. A front-end developer must perfectly know at least one HTML editor and be able to edit the code based on the needs of the project.

HTML processors are similar in action. With only one editor, it is very easy to understand the analog versions.


It should be noted that there is no completely universal framework for any project. Today, there are a lot of sites that require individual solutions, so each specialist selects a framework based on the characteristics and complexity of the task.

The most popular solution is still Angular.js. The top framework is used by most developers, because this technology is supported by the Google search engine. High productivity, stability and the availability of a training base allow solving most of the conflict problems. No programmer wants to build a site architecture on a legacy or experimental framework, so Angular.js is a great and safe choice.

In addition to Angular, the Vue.js frameworks have authority. and React. The latter option is also becoming a frequent choice among front-end specialists and programmers. React is supported by many platforms and can be integrated into any programming environment.

Tools for interacting with designers

In shaping a common work environment with a designer, the Figma tool is best suited. Despite the large number of competitors, Figma offers the largest number of plugins, export modules, imports and tools for teamwork on the visual part of the site.

Figma has good versatility and allows you to automate many routine tasks when developing multi-page sites and applications.


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What are UX and UI designs


How do UX / UI designs differ? 

 For correct distinction, it is obligatory to accurately understand the concepts of mentioned terms. UI design is user interface design and UX design is user experience design. Accordingly, the initial type of web design is made by the basic appearance (buttons, colours, menus, structure). Experience of interaction is the first stage of interface development, which determines the first structure of the web project. It answers the following questions:

  • How accessible is the information users need;
  • Is it easy for users to manage the portal, site, program or application;
  • Do some details of the website interface cause negative emotions? 

 The job of UX designer is to work out an interface that doesn’t cause problems for the users. Accordingly, the UX plan is initially designed, and then the picture is “stretched” and the details are worked out (User Interface UI). An experienced specialist must conduct numerous tests so that the web project is equally informative on all devices. Contrary to relationship, UX design and UI design differ in usage during the development phase and in terms of timing. UX design is the more systematic and technical discipline, whereas UI design is the more complicated and usually deals with graphics. Two terms are tightly related. To get very good results, it is needed to use both approaches. UX and UI design services by DataArt perfectly cope with these tasks.

What UX Design services by DataArt  offers:  

  1.  Structure and strategy. UX designers collect and study information about main competitors, determine the purposes and desires of customers, and also analyze how these tasks are being resolved in the markets. Based on this test the best solution for a specific product is found.
  2. Warframes and prototyping. Based on the developed strategy, warframes are worked out, from which prototypes are created. Testing and prototyping allows you to determine bottlenecks and work out the light process of user’s interaction with interface.
  3. Development and analysis. UX design services by DataArt take part in the project at all stages of website development, coordinating cooperation with interface designers and developers. They also realize the goals of the website.

User experience design is the process of working out and improving the qualitative interaction between users and the application. UX Design services by DataArt deals with the process of analysis, testing, content, development and prototyping to validate the results quality.

 User interface design is an intermediate between a person and a device. It is not only the outward, but the interactivity of the website also. Oftentimes, User Interface design is confused with branding or graphic design. But these are delusions. The User Interface is a complicated framework that transfers product development from explore and mock-ups to an engaging, responsive and understandable user experience. UI design services by DataArt  helps to understand how the user perceives website from a visual point of view. It takes the conclusions and findings of the UX designer and give them special art form. 

 The main objectives of the UI design services by DataArt include:

  1. Visualisation. The goal of UI designers is helping the users to use the website correctly, with help of visual elements without using many words.
  2. Animations and graphics. Different graphic elements, illustrations and smooth transitions create specialty and uniqueness.
  3. Responsiveness. Animations, UI prototyping, adaptability are the elements that will deliver the most comfort of using the website on any devices.

So, everyone who opens an app or sites takes a travel down the road that a UX designer has made. But only the UI designer can make this travel exciting and wonderful. He acts as a guide to an interesting new world.

Specialists of UX and UI services by DataArt are involved into the software process to deliver very comfortable products for users. Our company has extensive experience in developing complicated B2B solutions and applications. So using UI and UX design services by DataArt is the best decision for working out and websites and applications.


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Will TikTok follow the fate of Instagram?


We all know what path Instagram has taken and what it has turned into over time: from a platform where people shared their breakfasts and tagged friends in funny photo challenges, Insta has grown into a platform for advertising, sales and promotion. Someone will find it sad, but someone has always needed such a platform. What matters is not this, but whether the same thing will happen now with TikTok, or will this social network go its own special way? 

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It is very difficult to make accurate forecasts, but there are some signs already now: people are already trying to buy TikTok followers and are already thinking for the most part not about how people will like their content, but whether brands will pay attention to them. We can say that the transformation has already begun — more and more companies and bloggers are launching advertising in TikTok, since all the most active and lively audience is now found in it, and it is advertising in TikTok that gives the best figures and results.

But is there any difference between Insta and TikTok at all? 

Yes: even though bloggers are striving to buy followers on TikTok, they know that success lays mostly on their content and only their efforts can lead them to worldwide popularity. In order to get into the recommendations of other people, users of this social network really have to try very hard and put maximum effort into their videos and analyze the situation — what can be called a trend at the moment, and what is not? Which videos are worth shooting right now, and which ones have already started to become obsolete? To date, TikTok is a ton of independent blogger’s work and only a little help from paid services, while Instagram is becoming more and more dependent on them. 

We must also say that TikTok is not yet as flooded with bots as Insta. Here, almost the entire audience is alive, and if 10 thousand people watched you, then 10 thousand people watched you — while in IG it would mean that 5 thousand real people and 5 thousand fakes watched you. Of course, all metrics in social networks have errors, but there are not nearly as many of them on this video platform as in the IG. But this does not mean that we should choose a video platform as the only social network suitable for promotion — on the contrary, the best solution would be to combine several social networks and duplicate content. Cross-posting can help you out a lot at the moment when you need to attract more people to a particular profile — so try to leave links to the rest of your pages on each of the available pages. Such linking will help you to gather all your small audiences on different social networks into a single large one.

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Even if TikTok turns into the same selling platform that Instagram has become, you should hurry to take your place in the niche so that you don’t have to put even more effort into promotion later. Obviously, this video platform will not lose popularity soon: and even if new tools for advertising and monetization appear on it, maybe it’s for the best? After all, who doesn’t want to make blogging their main job today?


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Reasons Counting is the Hardest Thing in Data Scientist


In Data Science, training should be based on the tasks assigned to the specialist. However, the tasks of a Data Scientist may differ depending on the field of activity of the company Data-Science UA. Here are some examples:

  • detection of anomalies – for example, non-standard actions with a bank card, fraud;
  • analysis and forecasting – performance indicators, quality of advertising campaigns;
  • scoring and grading systems – processing large amounts of data for making decisions, for example, on granting a loan;
  • basic interaction with the client – automatic replies in chats, voice assistants, sorting letters into folders.

But for any of the above tasks, you always need to follow approximately the same steps:

  1. Data collection – search for sources and methods of obtaining information, as well as the collection process itself.
  2. Checking – validation, removal of anomalies.
  3. Analysis – the study of data, making assumptions, conclusions.
  4. Visualization – bringing data into a human-readable form (graphs and diagrams).
  5. The result is making decisions based on the analyzed data, for example, about changing the marketing strategy or increasing the budget for any of the company’s activities.

Reasons Counting is the Hardest Thing in Data Scientist

What do you mean by “knowledge-intensive methods”?

In practical application, machine learning development company methods are widely known. There are many applied data processing algorithms. When working with data, sometimes problems appear that can be called scientific: they are formalized, some assumptions are made for them, and in this form the problem can be solved explicitly. For example, you can prove that some algorithm solves the problem in an optimal way.

Science-intensive methods are those methods behind which there is some non-trivial proof, and they work. Some of them are reproducible in practice and have practical use, and some turn out to be too model. In theory, the method works, but in practice it is not applicable, simply because. that the assumptions around which a mathematical or computer problem was proved are not reproducible in reality.

We can say that in one corner there are just purely theoretical problems that are not used in practice. And in another, there are data processing tasks, behind which there is no special science: you can simply take the data, group it, calculate the average, sort it and draw an analytical conclusion. Somewhere at the junction lie the very methods that are called “science-intensive”.

Can you tell us with specific examples what analysts do?

An analyst is someone who can look at data more broadly, build and test hypotheses. The task of analysts is to bring practical value and seek new knowledge in the data. Humans have been analyzing data even before the advent of computers.

For example, the Japanese engineer and statistician Genichi Taguchi developed the concept of “quality engineering” back in the 1940s. Within the framework of this idea, he statistically analyzed production data, conducted experiments and significantly reduced costs, while improving product quality. Subsequently, his methods were implemented in the production optimization of the Ford Motor Company.

I will give one example of an analyst’s task from my practice. Yandex conducted an experiment by adding new elements to search results – pictures in snippets. At the same time, users sometimes began to click less often and solve their problems, the metrics worsened. A dozen hypotheses could be put forward as to why this happened.


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