Robotic Process Automation or RPA
For Employers

What Is Robotic Process Automation (RPA) and Why Does Your Business Need It?

Robotic Process Automation (RPA) is a technology that helps to build & manage software robots that mimic human actions interacting with digital systems. RPA converts formulaic tasks into automated processes with RPA ‘bots’.

What is RPA? What does robotic process automation do? Where is robotic process automation used? What is robotic process automation with an example?

Looking for these answers? Keep reading!

What is RPA?

Robotic process automation (RPA) is the application of technology that allows employees in a company to configure computer software or a “robot” to capture and interpret existing applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems. In simple words, RPA helps to build & manage software robots that mimic human actions interacting with digital systems. 

Most importantly, RPA converts repetitive and mundane tasks into automated processes with RPA ‘bots’. This feature improves efficiency and accuracy within organizations by automating business processes. Additionally, it can help reduce costs by eliminating or automating low-value tasks, freeing up employees to work on more strategic initiatives. 

RPA automates some of the rule-based actions that a human performs. Rule-based actions are simple algorithmic tasks that follow a certain logic, sequence, and structure. RPA reduces employee workload by combining computer vision, automation, and ML technologies in business processes. 

Software developers program bots with RPA tools to perform repetitive tasks. Programming automates tasks that would have required human intervention. RPA systems, RPA software, RPA tools, and RPA technologies, essentially have the same meaning and are used interchangeably across the text.

What is Robotic Process Automation (RPA) with an example?

For example, let us consider the task of email processing. An employee reads the text on the screen, gathers necessary information, copies it into a word document, and then saves it. If you feed exact instructions into an RPA tool to follow the same workflow, the RPA performs the tasks on its own. RPA automatically processes relevant information from the email with screen scraping, segregates the data, and stores it in a word document. 

A rise in the adoption of RPAs indicates that the global market capacity of RPAs will reach $11 billion by 2027. RPA applications provide multiple opportunities for improvement across various aspects of a business. Departments like sales, HR, marketing, operations, customer service, and tech support directly benefit from using RPA. Here are a few reasons why your business needs RPA:

  1. Better productivity

    According to Automation Anywhere, employees spend 10-25 percent of work hours on repetitive tasks. RPA can automate repetitive tasks to ensure higher productivity. RPA improves the performance of various business operations. According to a recent survey by NICE, 27 percent of managers reported improved productivity due to RPA.

    RPA can perform a higher number of tasks than your small team of employees. If RPA takes over routine tasks, employees can focus on innovation and creative tasks. Better utilization of human resources helps to optimize the business processes effectively. In this way, Robotic Process Automation enables better productivity across workflows. 

  2. Higher efficiency 

    RPA technologies ensure higher efficiency in business processes. An RPA software can perform a routine task faster than a person. Robotic Process Automation technologies speed up simple tasks like email blasts, salary distribution, invoice processing, analytics, etc.

    Additionally, RPA systems can simplify laborious tasks by up to 80 percent. RPA software can operate 24/7, and require no breaks. And thus, RPA improves efficiency across business processes.

  3. Better accuracy 
    Better Accuracy

    Robotic Process Automation (RPA) – Better Accuracy

    Humans tend to make mistakes; however, RPA tools don’t. RPA tools ensure better accuracy compared to manual work. RPA software eliminates the possibility of human errors through automation. RPA platforms are 100 percent error-free since they strictly follow the code embedded in their system.

    For example, let us consider the data sorting process for a business. If businesses streamline input-output processes, RPA solutions can perform the tasks accurately. Maintaining a uniform format will make it easy for RPA software to analyze and sort data effectively. To process structured input data, RPA needs to be configured accordingly. These steps will enhance the overall accuracy of the process.

    RPA is consistent and reliable, making it a necessary tool for any business. According to the Deloitte Global RPA Survey, 85 percent of staff confirmed that RPA meets and exceeds accuracy expectations. And so, to implement RPA, the business should plan, map, and optimize processes correctly. 

  4. Higher security 

    Humans may leak data, intentionally or unintentionally. This error can bring serious consequences for businesses holding confidential data. Naturally, reducing the number of employees that have access to sensitive information will enhance data security.

    RPA technologies remove human dependency and reduce data touchpoints. Unlike humans, automated processes cannot cause accidental security breaches. Thus, RPA ensures better security of data systems through automation. 

  5. Improved scalability
    Improved Scalability

    Robotic Process Automation (RPA) – Improved Scalability

    Let us consider the example of workloads that vary. When workloads increase or decrease, managers need to scale their human resources. Onboarding employees requires tedious assessment and training. When the demand subsides, businesses struggle with the under-utilization of the HR bandwidth. 

    RPA tools easily cope with the variable workloads. Robotic automation is scalable and adjusts to the variation in demand/supply. And thus, Robotic Process Automation enhances scalability and reduces the financial impact of variations.

  6. Effective analytics

    Data analysts need to analyze the changes in demand or supply, customer satisfaction levels, product success rates, etc. Analyzed data needs further processing, to provide valuable insights for effective management. It is time-consuming and cumbersome to repeatedly gather, monitor, and apply data about the organizational processes. 

     

    When the same parameters need to be measured, data analysis can seem repetitive. RPA technologies can be programmed to gather actionable data, perform data analysis, and present it to managers. Using RPA for data analytics reduces turnaround times, and enables managers to make better decisions in a short time.

    Efficient data collection ensures better decision-making. RPA software simplifies the data analytics involved in business processes. Enhanced clarity and better data processing allow managers to have better control over the business. Thus, RPA can significantly speed up data collection and data processing for your business

Why Robotic Process Automation (RPA) could be the next big thing for your business?

Robotic Process Automation is crucial for improving different aspects of a business. Due to multiple benefits, high demand for RPA exists across various industries. But designing and implementing an RPA system is challenging.

AI and ML engineers simplify the creation and maintenance of RPA systems. Expert machine learning engineers train the RPA bots with instructions to follow during process execution. Hire ML engineers to update the process, flow, and change the automated elements. 

For accurate performance and effective automation, AI engineers program RPA systems. AI engineers work on RPA to automate routine tasks. Hiring experienced AI developers helps businesses create better RPAs for unsupervised processing.

IT companies leverage RPA systems to speed up the commissioning of their cloud systems. RPA systems aid faster and more secure data migration, along with better cost-efficiency and agility for cloud technologies. Read this article to learn how IT companies are switching to cloud technologies


FAQs

  • What does robotic process automation do?

RPA enables businesses to create automatic processes that function on behalf of a human being. With AI and ML, robotic process automation increases the efficiency of business processes by letting software code perform simple tasks in a pre-defined manner. 

  • Where is robotic process automation used?

Business processes that involve repetitive tasks use Robotic process automation. RPA has applications in finance, banking, health care, insurance, telecom, and other industries.

  • What is robotic process automation with an example?

RPA is the process of commissioning software programs that can perform routine tasks without human intervention. A great example of RPA is a ‘chatbot’, which automatically responds to customers online. Chatbots use RPA tools and AI to reply with pre-programmed texts for specific user queries. RPA engineer integrates automated responses through assumptions about possible doubts that a customer may ask.

RPA can revolutionize the way your business executes certain key tasks. Turing can help your business reap the benefits of Robotic Process Automation. Turing provides remote software developers that can help you build your RPA system. 

Do you wish to leverage RPA to enhance productivity across your business processes? Are you looking for developers to work on designing RPA systems for your business? Try Turing. Turing will help you hire experienced AI and ML engineers to integrate RPA. Visit the Hire page to know more!

Are you struggling to hire top-notch talent for your company? Refer to this article, to learn a few practical tips for hiring the best employees for your business.

Get in touch with our team and start optimizing business processes with Silicon Valley-caliber developers. Visit the Hire Developers page for more information.

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By May 20, 2022
Angular Material vs Bootstrap
For Developers

Bootstrap vs Angular Material: Which Should Be Your Front-End Library?

Bootstrap is an open-source CSS framework with stylesheets and HTML templates for web design. Angular Material is a component-based user interface module ….

Which is better Bootstrap or Angular Material? Can I use Bootstrap for Angular? Is Angular Material good for mobile applications? This blog post will help you answer all these questions. Great websites have excellent user interfaces and offer a user experience of the highest quality. Front-end application development tools like Angular Material and Bootstrap are necessary to create a high-functioning and responsive website.

Angular Material is a User Interface module that offers pre-built component collections for frameworks like Vue.js, Angular, and React among others. The Angular Material component library offers components like input sliders, checkboxes, toolbar, site navigation patterns, buttons, and data tables to make responsive websites and applications.

Bootstrap is an intuitive and open-source CSS framework that helps build attractive web pages and mobile applications. CSS frameworks consist of several ready-to-use stylesheets by web developers. Bootstrap offers an array of CSS and HTML design templates and pre-styled components like dropdowns, badges alert, progress bars, and navigation patterns.

What is the difference between Angular and Angular Material?

AngularJS is a JavaScript framework, whereas Angular Material is a User Interface module. Google introduced a design language called Material in 2014 which was later affixed to Angular JS. In 2016, Google built Angular’s code from scratch using Typescript and integrated the design language Material as Angular Material.

Can I use Angular Material and Bootstrap together?

Bootstrap vs Angular Material

Can I use Angular Material and Bootstrap together?

Yes, you can use parts of Angular Material and Bootstrap together in the same web or mobile project. Developers need to be careful not to use the same components, which can clash.

Let’s compare the two

  1. Unique components

    Angular Material and Bootstrap offer a variety of unique components for great website design. The unique components of Angular Material are not found in Bootstrap and vice-versa.


    Angular Material offers unique components like a date picker, slider, grid list, toolbar, icon, snack bar, progress spinner, chips, stepper, and sort header.

    On the other hand, Bootstrap offers unique components like a carousel, collapse, scroll spy, breadcrumb, jumbotron, and popovers.
  1. Card

    In Angular Material and Bootstrap, a card is an entry point for varying items like photos, text, and links for UI design. The card serves as a container for different items related to a single subject.


    Bootstrap offers different color options, whereas Angular Material provides a plain card.
  1. Dialog or Modal

    Dialogs in Angular Material or Modals in Bootstrap refer to plugins that help users add information or choose from multiple options.


    In Angular Material, dialogs help edit present data to pass it to the dialog component. The dialog configuration object utilizes the data property to pass the data.

    Bootstrap uses modals that offer customizable, responsive pop-ups and lightboxes. Videos, alerts, images, and animations can be inside modals.
  1. Menu or Navbar

    Menu in Angular Material or Navbar in Bootstrap help build effective navigation for your website or mobile application.


    Angular Material offers a menu that contains an extensive toolbar and an exceptional sidebar. Developers can attach the menu with different controls and utilize styling and animation options as required.

    Navbar in Bootstrap is a collapsible and extendable item that can do so as per the screen size. Developers who want to achieve responsive navigation can do so easily with Navbar.
  1. Expansion panel

    The expansion panel displays the content summary inside the panel. Developers can choose the content and design format of the panel.


    Expansion Panel in Angular Material is according to the latest user interface design and presents a complete summary to users.

    In Bootstrap, the expansion panel is in a collapsible format that needs some CSS styling improvements to be in sync with the latest design.
  1. Application architecture

    Application architecture refers to the tools, patterns, and designs that help you build and design an application.


    Angular Material offers a layered architecture with all components attached to core functionalities. Developers can choose single components or bundle components together for their applications.

    Bootstrap architecture is a view-view-controller type as it uses two components namely the logic layer and the view layer. Developers can choose from the twelve components of the logic layer and the six modules of the view layer.  Also, Bootstrap supports the MVC architecture design pattern for web pages.
  1. Responsive-oriented approach

    In the responsive-oriented approach, the website design goes through dynamic changes as per the screen size and device orientation.


    Bootstrap supports a responsive-oriented approach, whereas Angular Material does not support a responsive design approach.

So, which is better? Bootstrap or Angular Material?

Bootstrap is a responsive framework that can develop user-friendly and modern websites and mobile applications. Angular Material is a User Interface (UI) component library that offers reusable components to speed up your project.

Developers must choose between Bootstrap and Angular Material as per their project timeline and requirements. Also, developers must list the pros and cons of each to pick the most suitable front-end development tool

Are you an experienced Bootstrap or Angular Material developer looking for a job?

Try Turing!

Turing helps software developers land their dream remote jobs in top US companies with long-term career growth and unmatched compensation.  Visit the Jobs page to know more!


FAQs

  1. Which applications use Bootstrap?

    Some of the popular applications that use Bootstrap are PayPal, WhatsApp, Lyft, Etsy, Apple maps connect, Upwork, and Duolingo among others.

  2. Which popular applications use Angular Material?

    Popular applications that use Angular Material are Gmail, Asana, Momondo, and Airbnb among others.

  3. Is Angular Material easy?

    Developers familiar with the Angular framework can easily utilize the components of Angular Material.

  4. Is Bootstrap like WordPress?

    Bootstrap is a front-end framework that helps with the user interface and website design. WordPress provides both front-end and back-end tools to create a website.

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By May 20, 2022
In-demand Programming Languages
For Developers

8 In-Demand Programming Languages to Learn in 2022

What are the popular programming languages to learn in 2022? 1. Python 2. JavaScript 3. TypeScript 4. Swift 5. PHP 6. C++ 7.Kotlin 8. Java

Which programming language is in-demand in 2022? Should I learn Java or Python in 2022? Let’s find out!

Software developers are in huge demand today. And so, developers must be proficient in coding languages to supercharge their engineering careers. According to the U.S. Bureau of Labor Statistics, the demand for software developers, including software engineers, will increase by 22 percent between 2022 and 2030 compared to four percent in other careers.

As a developer, if you are looking to enhance your skills for a promising future, then learning the most popular programming languages is very critical. Before we dive into the best programming languages to learn in 2022, here is a quick understanding of the levels and types of programming languages and the tools used to measure the popularity of the programming languages.

Levels of programming languages

Each programming language has its own purpose, syntax, and keywords to create the instructions. The main levels of programming languages are:

Low-level languages

Low-level programming languages, machine code, or assembly-level languages provide low abstraction from a computer’s set of instructions. Programs written in low-level languages are non-portable and not readable by humans. Some low-level programming languages are Assembly, BASIC, FORTRAN, Cobol, and C.

High-level languages

High-level languages have robust in-built abstractions that make problem-solving simple. These languages produce bug-free programs. High-level language codes are independent of the computer type. These languages are user-friendly. What’s more, learning and maintaining such languages are easy. Some high-level programming languages are  Java, PHP, C#, and Swift.

High level Programming Languages

High-level Programming Languages

Types of programming languages

  1. Procedural programming languages

    Procedural programming languages involve executing a sequence of instructions to solve a problem. These programming languages use multiple variables, heavy loops, and elements that segregate procedural programming languages from functional programming languages. Some examples of procedural programming languages are  BASIC, FORTRAN, C, and Java.       

  2. Functional programming languages

    A functional programming language uses mathematical functions to perform computations. The language focuses on what to solve rather than how to solve it.  This programming language does not support controls like loop and conditional statements. Some examples of functional programming languages are Python, Haskell, Clojure, Erlang, and Lisp.

  3. Object-oriented programming languages (OOP)

    Object-oriented programming language structures the software into simple, reusable pieces of code blueprints. These code pieces are usually referred to as Classes. Classes create individual instances of objects. Object-oriented programming languages help wrap data and functions in a class. Some examples of OOP languages include  Java, C++, Python, and JavaScript.

  4. Scripting programming languages

    Scripting programming languages use instructions for a run-time environment. These programming languages integrate and communicate with other programming languages. Web applications, multimedia, gaming applications, and system administration use scripting languages. Some examples of scripting programming languages include Python, Ruby, Node.js, Perl, and Bash.

  5. Logic programming

    Logic programming is based on formal logic. In logic, with available data, the execution of programming computation happens with logical inferences. Programs represented with logic programming are sentences in a logical form expressing facts and rules of a problem domain. Examples include Prolog, Answer set program (ASP), and Datalog.

Top indices to track the metrics of coding languages

Certain tools, such as indexes, help understand: Which is the most popular programming language? These indices analyze programming languages based on:

  • Ranking in search engines and social media platforms

  • Job advertisements mentioning the language

  • Open-source projects in the given language

  • Videos on the language

  • Students enrolled to learn the language.

Indices to track the metrics:

  • PYPL Index

    In the PYPL Popularity of Programming Language index, the metrics are based on Google Trends, reflecting the developers’ search patterns for a particular programming language’s tutorials.
    The top four ranked coding languages by PYPL in 2022 are Python, Java, JavaScript, and C.

  • TIOBE Index

    TIOBE Programming Community Index ranks the top languages based on the number of searches done in popular search engines like Google, YouTube, Bing, Wikipedia, Amazon, and more.
    The top four languages with the highest ratings by TIOBE are Python, C, Java, and C++.

  • IEEE Spectrum

    IEEE generates rankings combining 11 metrics from the top eight sources like Google, GitHub, Twitter, Stackoverflow, Reddit, Hacker News, Career Builder, and IEEE Xplore Digital Library. Searches are sorted on the basis of trending, job searches, and custom ranking.
    The top four languages ranked by IEEE in 2021 are C, C++, Java, and JavaScript.

  • Stackoverflow Developer Surveys

    Stackoverflow is an in-demand Q&A website for developers. The top four languages ranked by Stackoverflow in 2021 are JavaScript, HTML/ CSS, SQL, and Python.

What are the best languages to learn?
After a basic understanding of the programming levels, types of programming languages, and indices to analyze their popularity, let’s dive into the best programming languages to learn in 2022.

  1. Python

    For years, Python has remained the most popular programming language. Python’s popularity grew when big tech companies like Netflix, Facebook, and Khan Academy started using it as their major programming language.

    Python can do several tasks, from simple scripting to advanced web applications and artificial intelligence. Google’s TensorFlow is a Python-friendly open-source machine learning platform.


    Python is the best data science tool that makes machine learning easy and effective. Python job roles have the highest number of listings. Ten thousand on Glassdoor and about 14,000 on Indeed! 

    Related post: 8 Python Interview Questions Managers Ask Developers

  2. Java

    Java is one of the oldest and most widely used programming languages across the globe. Java is the top programming language for DevOps, virtual reality, big data, mobile chatbots, and continuous integration.

    Android accounts for 85 percent of the mobile market share, with Java as the main programming language. Top companies like Airbnb, Google, Netflix, Instagram, Uber, Amazon, and Spotify use Java in their tech stacks.

    Why Java is one of the best languages to learn for software development roles? Java is downloaded one billion times a year. It is the go-to programming language for 97 percent of enterprises, which is more than any other programming language. Java developers are in high demand, as most businesses want to build mobile applications for their products or services.

  3. JavaScript

    There are over 1.8 million websites worldwide, and more than 95 percent of these websites use JavaScript. JavaScript gave life to the browser experience by creating web pages with interactive elements. JavaScript allows users to set up dynamic and interactive content, animated graphics, and complex features on the website.

    Top web browsers like Google Chrome and Apple Safari support JavaScript.  Mobile and web apps are developed with JavaScript frameworks. Apart from apps and websites, web servers and backend infrastructure are developed with the JavaScript runtime environment, Node.js.

    Related post: Six Popular JavaScript Frameworks to Choose from in 2022

  4. TypeScript

    Microsoft released TypeScript in 2012 as a “typed” version of JavaScript. TypeScript is a superset of JavaScript supporting JavaScript libraries and programs. Advanced features in TypeScript like type-checks provide quick validation and ensure that the codes typed are free of errors.

    Typescript provides additional syntax to JavaScript to support better integration with an editor. According to the 2021 State of JS survey, 69 percent of survey respondents use TypeScript now compared to 21 percent six years ago.

    TypeScript Programming Language

    TypeScript

  5. PHP

    PHP is a server-side general-purpose scripting language used for developing dynamic and interactive websites. PHP can be embedded into HTML and can help users write simple scripts with its advanced features.

    PHP is one of the easiest languages to learn and use without much knowledge or experience in web development. Also, it is compatible with all the major platforms like MAC OS, Windows, and Linux.

    According to the data of WS Techs, 78.9 percent of all websites with a known server-side programming language are using PHP. Out of ten, eight websites on the Internet use PHP in some way.

  6. C++

    C++ is an advanced version of the C language. Developers commonly use C++ to design simple applications for operating systems. Also, C++ helps develop powerful mobile applications.

    C++ is widely used for game development, web development, machine learning, and data mining applications.  With C++, the programs run faster than in any other programming language.

  7. Swift

    Developed by Apple, Swift is a quick, safe, interactive, and modern programming language. In the US, iOS leads the mobile operating system market share with 57.65 percent. These numbers prove that Swift is the dominant programming language for Apple products.

  8. Kotlin

    Kotlin is one of the favorite programming languages of Android developers, as it is easier to use than Java. Since it is interoperable with Java, developers can resume project work even from the middle. They don’t have to start coding from scratch.

    According to a study, Kotlin is among the top three programming languages most businesses plan to migrate their apps to in 2022. Global tech companies like Google, Trello, NetFlix, and Amazon already use Kotlin. What’s more, Uber and Pinterest are migrating their apps from Java to Kotlin.

So, which is the best programming language to learn in 2022?

Whether you are an experienced developer or new to software development, learning the most in-demand programming languages will boost your career opportunities. 

Check out the above indices that measure the language rankings, ratings, and popularity, to determine which languages to learn. Let us know in the comments which programming language would be your choice to learn in 2022. 

Can I work remotely as a programmer?

Yes, you can! Skilled software developers are in demand today.  With Turing, you can land high-growth and high-paying remote software jobs with top US companies from the comfort of your home. 

Turing helps developers build careers, not gig jobs, by actively placing them with industry leaders doing cutting-edge work. Turing matches developers with opportunities aligned with their skills, career goals, and aspirations. Apply for jobs in React, Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, DevOps, ML, Data Engineers, and more.


FAQs

  1. Which programming language is in demand in 2022?

    The best in-demand programming languages to learn in 2022 are:
    1. Python 
    2. JavaScript 
    3. PHP 
    4. C++ 
    5. TypeScript 
    6. Java 
    7. Swift 
    8. Kotlin

  2. Is Python worth learning in 2022?

    Yes, Python is a programming language worth learning in 2022. Python is an easy-to-learn and versatile language that boosts the coding skills of developers. As per a Statista survey, 48.2 percent of developers worldwide use Python.

  3. Should I learn Java or Python in 2022?

    For beginners, Python is the best language to learn as it is easy to learn, straightforward, has simple syntax, and easy to navigate features. While Java is for advanced learners as it is a rigid language where extensive programs have to be written for simple calculations.

  4. What is the highest-paying programming language?

    Python, Java, Golang, Ruby, C++, C#, SQL, etc. are some of the highest-paying programming languages.

  5. What is the hardest programming language?

    Malbolge, LISP, Haskell, and Prolog

  6. Is C++ worth learning in 2022?

    C++ is an object-oriented programming language used in a variety of applications. Great performance, speed, efficiency, and accuracy make it a language worth learning in 2022.

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By May 19, 2022
Women in Tech
For Developers

4 Tips to Help Women in Tech Thrive in the IT Industry

Thriving in the tech world is challenging, but not impossible with these tips 1. Face challenges head-on 2. Don’t be afraid of new experiences

Who are women in tech? What does it mean to be a woman in tech? Are females underrepresented in tech? How can we help women in technology?

Looking for answers to these questions? Keep reading the blog post. 

Introduction

Women in tech have long been undervalued and underrepresented in the workplace. As per statistics, women in tech account for fewer than 40 percent of the worldwide workforce, of which 25 percent of professional IT jobs are in the United States alone. In addition, 45 percent of women in technology say men outnumber them at work by a 4-to-1 or larger ratio.

And so many organizations are working hard to help women advance in their jobs and prosper in a male-dominated tech environment. Research showed that corporations with at least 10 percent women on company boards have 2.5 to 5 percent higher returns on equity. Similarly, companies where 30 percent of the executive team comprises women have 15 percent higher profitability than others. 

So, here are a few pointers that have worked for women in tech at leadership positions over the years and might work for you as well. 

Let’s dive in. 

  1. Women in Tech: Face challenges head-on

    Women in tech

    Women in Tech: Face challenges head-on

    According to Skillsoft’s 2021 Women in Tech report, women in tech continue to confront several employment problems that have traditionally persisted in the IT industry. Lack of pay parity was cited as the most pressing issue by most leaders, followed by work-life balance, career opportunity, and skill training. 

    Similarly, according to a survey by Qualtrics and The Board list, 34 percent of males working remotely with children at home were promoted during the pandemic, compared to nine percent of women in the same scenario. What’s more 26 percent of men received an appraisal during the same period, compared to 13 percent of women.

    These numbers serve as a reminder that the road to equality is long and twisty. So, be persistent and don’t lose sight of your goals amid hardships. In certain situations, when you can’t reach the goals, don’t adjust the goals, adjust the action steps. 

    For example, a persistent software developer doesn’t give up on a software malfunction. They find the root cause and don’t ​​just address the symptoms of the problem even if it takes six months instead of the planned two months.

    Related post: Five Women Who Are Inspiring Next-Gen Software Developers

  2. Women in Tech: Don’t be afraid of new experiences 

    Taking a break from work for caregiving—be it for children, or aging parents—is unavoidable for many women in tech and in other fields. 

    So, it’s important for women in tech to maintain a curious and flexible mindset throughout their careers. For example, your last job in product development may have vanished since you left the industry, or perhaps you’ve reached a place in your career where you no longer enjoy the same work. 

    Ask yourself the following questions- Are your current skills transferable to a new position? Are there any abilities you’ve acquired or could gain that would allow you to switch to a different career path?

    While pivoting and redesigning your career can be intimidating, it can pay out handsomely in the long run. So, re-evaluate your plan, set new goals, and move forward without fear.

    Related post: Moms in Tech: 6 Tips to Build a Better Workplace for Tech Moms on Mother’s Day 2022

  3. Women in tech: Find a good mentor

    Women in tech

    Women in tech: Find a good mentor

    According to a recent BCG study, men stay connected to their mentors for 15 percent longer than women, and they benefit from these links tremendously. 

    A mentor or former colleague can open new career opportunities when they move to a different organization. They can let you know about job openings,  put a good word for you, and even forward your resume to senior hiring managers. 

    So don’t be afraid to seek guidance from someone with more expertise and understanding in a subject that interests you. People with experience and prestige are far more willing to share their knowledge than you may believe.

    At the beginning of your career, find a mentor and sponsor. And at the later stage of your career, become a mentor and sponsor to others. Instill the right beliefs, culture, and behaviors into your juniors.

  4. Women in Tech: Speak your mind. Stand your ground

    The use of voice distinguishes leaders from followers. People who have a voice and use it to make an impact around them transition to leadership. This advice does not mean you should use your voice to command; instead, listen carefully to your team and guide them with your knowledge. 

    If you’ve been asked to a meeting, remember that you’ve earned your seat at the table. Make sure that your word is heard. Speak up if you disagree with something. Even if you haven’t fine-tuned your idea, the experience of putting yourself out there will teach you a lot.

So, how should you start?

Thriving in the tech world is not easy, but it’s not impossible either. 

You can only rise up if you are willing to go that extra mile. Learn from women tech leaders and build your own path to success. Earn respect through honesty, knowing your powers, and having a voice in an organization.

Also, don’t let the fact that men dominate the tech business keep you from participating in any activity at the office. Most importantly, don’t let the misconception that ‘women in tech don’t fit in’ keep you from doing something you enjoy and could excel at. 

If a remote developer career sounds appealing to you, then apply to Turing.com. At Turing, you can join a network of the world’s best developers & get full-time, long-term remote software jobs with better compensation and career growth.


FAQs

  • What does it mean to be a woman in tech?

    All founders, managers, software developers, testers, analysts, technicians, interns, and students who work in the tech industry. However, the term ‘women in tech’ is also a community term representing diversity in hiring, equal rights for women workers, and more. 

  • Are females underrepresented in tech?

    Women in tech have long been undervalued and underrepresented in the workplace. As per statistics, women in tech account for fewer than 40 percent of the worldwide workforce, of which 25 percent of professional IT jobs are in the United States alone. 

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By May 18, 2022
Top Software Developer Skills to Learn in 2022
For Developers

Here Are the Top Software Developer Skills to Learn in 2022!

Top developer skills to learn in 2022: 1. Programming languages: JavaScript, Go, Ruby, Kotlin, R, Python, etc. 2. Databases 3. Algorithms and data structures.

What are the top software developer skills to learn in 2022? The best software developers have a repository of technical skills that distinguish them from others. These professionals are thorough in programming languages, can tap into databases, and understand algorithms, operating systems, debugging, and much more! 

Today, the best companies want to hire skilled software developers to help their development processes. And thus, you need to expand and update your technical knowledge and experience to become a highly sought-after software developer. 

In this post, you’ll find the top software developer skills to learn in 2022. These skills will help you stand out among other developers, land your dream job, and supercharge your software development career! 

Is software development a good career in 2022?

Software developer skills to learn in 2022

Is software development a good career in 2022?

Yes, absolutely! According to several tech hiring surveys, software developers are more in demand in 2022 than in 2021. Also, there is a substantial increase in the number of software developers that recruiters want to hire.

Companies want to hire more software developers in 2022

For instance, the tech hiring survey showed that 35 percent of employers plan to hire about 50 developers in 2022. Also, the percentage of recruiters aiming to hire between 201-500 developers is at least two times the percentage in 2021. And surprisingly, there is a 50 percent increase in the number of recruiters planning to hire over 500 professionals.

The tech hiring report also revealed that software developers are demanding more compensation for jobs. And hence, the majority of surveyed employers would have a larger budget for software developers in 2022. 

Companies want to hire developers for AI, ML, web development, DevOps, etc. 

Most software developers said they were interested in machine learning, artificial intelligence, game development, and web development. In addition to these, hiring managers said they were also looking to hire in areas like DevOps, cloud computing, and database software.

Employers are looking to hire developers skilled in JavaScript, Python, Java, C, C++, and more! 

In terms of coding languages, hiring managers want to employ software developers proficient in JavaScript, Python, Java, C, C++, C#, etc. Interestingly, less popular programming languages like Clojure and Scala are also in high demand by recruiters in 2022.

What are the top software developer skills to learn in 2022?

Based on the current trend in the tech industry, below is a list of top software developer skills to learn in 2022 with examples.

Software development skills to learn in 2022: Programming languages

To excel in software development in 2022 and earn more money, you must be proficient in at least one coding language. However, before you start learning a programming language, ask yourself some critical questions like:

  • What software development skills am I interested in?
  • What programming languages are recruiters hiring for?
  • Where can I get the resources to learn the coding language I choose?

Here are the best programming languages to learn in 2022 and their applications:

JavaScript

JavaScript helps develop interactive web applications. A typical example of a system you can build with JavaScript is a webpage that shows certain information when a user clicks a button.

Go

Google developed Go (or Golang) in 2007 for its web applications and APIs. Go has a modern and straightforward structure and syntax, making it desirable for large IT companies. Most data scientists prefer ‘Go’ because of its performance and agility.

Having expertise in one or more programming languages can get you off to a good start in learning Go.

Ruby

Ruby is a fully object-oriented coding language helpful for text processing, scripting, and prototyping new software. Also, Ruby’s straightforward syntax makes it easy to learn for many developers.

With Ruby, developers can build massive frameworks and software. And it’s no wonder why top companies like Starbucks, Twitch, Tumblr, etc., use Ruby for their development processes.

Kotlin

Kotlin is a must-learn programming language if you want to explore Android development. Google uses Kotlin for nearly all its Android development processes.

Kotlin developers are among the most compensated programmers in the world. Kotlin is an in-demand programming language and a go-to if you want to focus on Android development.

R

The R language features in almost every development process. It’s nearly impossible to dive into machine learning, big data, and data analytics without using R.

The language is good to learn because of its relevance to creating machine learning algorithms and AI solutions.

Swift

Swift is Apple’s programming language, mainly for iOS, macOS, and Linux. The language’s syntax is reasonably related to Java and C#.

The language is helpful across different device types, including watches, smartphones, TVs, tablets, computers, etc.

Python

Python is great for several software development tasks. Software developers can use Python to write an entire program. Besides, its simple structure and syntax make it an easy coding language to learn.

Python is a hot favorite amongst developers due to its large number of libraries and frameworks. With surplus libraries and frameworks, developers can complete tasks faster and more efficiently.

C++

C++ programming language can boost the hardware capabilities of complex software systems, such as games and medical equipment software.

Java

Java allows developers to create applications across computer systems. Like C++, Java is also useful for creating high-quality video games. However, this language comes with lesser complexities than C++.

Software development skills to learn in 2022: Databases

Companies keep vital records in databases, and they need developers who can help them write codes to ensure the safety, integrity, and security of their records. Software developers may need to learn SQL or other relational and non-relational database systems to boost proficiency in handling databases.

Software development skills to learn in 2022: Algorithms and data structures

Algorithms are processes to complete tasks. On the other hand, data structures help store information in a database. It’s crucial for software developers to know various algorithms and data structure combinations to grow in their engineering careers. 

Here’s why: When writing code for a database, developers need to use different combinations of algorithms and data structures to optimize it. 

Platforms like Coursera, Udemy, Udacity, etc., have many resources to help developers learn different algorithms and data structures.

Software development skills to learn in 2022: Source control management (SCM) systems

A software development team collaborating on a single coding project may use a source control management system. SCM systems allow developers to monitor and revise code written for a program.

Git is a standard SCM system among developers and companies. The software allows developers to store varying versions (including the original version) of a code in one folder. Also, developers can roll back their code to the original version if things get confusing.

Software development skills to learn in 2022: Testing and debugging

Software developer skills to learn in 2022

Testing and debugging

Testing and debugging are must-have skills for developers. Testing involves checking a product’s codes before launching it into the market. It’s vital to test a product before releasing it so that consumers can have a fantastic user experience.

There are three testing procedures before launching a product, and they are as follows:

  1. Unit testing: In this testing method, developers check lines or areas of code to ensure consistency and avoid errors.

  2. Integration testing: Developers use integration testing to successfully combine different areas of a product’s code. Also, developers use integration testing to test how a program interacts with the code of another product.

  3. System testing: Before a product is launched, external developers check the product to match user requirements.

Apart from testing, developers should know how to use debugging tools to find and fix issues in the code. Though most developers crosscheck their code for issues while working, using a debugging tool is still necessary.

Software development skills to learn in 2022: Low-code/No-code platforms

Your intuition probably shouts “code” when you hear about developer skills, but did you know that software developers are quite interested in low-code/no-code platforms?

Users can configure applications, websites, etc., without writing a single line of code using low-code or no-code platforms. 

WordPress is a typical example of a low-code platform, and it currently hosts about 43 percent of websites on the internet.

With a large number of IT industries and professionals currently using low-code platforms, it’s a skill many developers are likely to turn to in 2022.

Software development skills to learn in 2022: Cloud computing

Cloud platforms are growing in popularity. And so, learning how to build apps that leverage cloud computing platforms can help you stand out from other developers.

There are several benefits of cloud computing, but a few of them are as follows:

  • Deploy software quickly and enjoy high-speed operations
  • Automatic updating, syncing, and integration with software and DevOps tools
  • Seamlessly secure, back up, and restore data
  • Enjoy customized, seamless collaboration with colleagues and clients

To improve your understanding, you can refer to the resources on common cloud platforms like Google Cloud, Amazon AWS, Microsoft Azure, etc. What’s more, you can even earn a certificate after taking some of these courses.

On a final note

2022 is a promising year for software developers with massive opportunities to land high-paying software development roles. That said, developers should brush up on their existing skills and learn new ones to make the best of these opportunities.

If you’re a skilled software developer looking for a high-growth, high-paying, remote software job, try Turing. Turing can help you build your dream engineering career right from the comfort of your home!


FAQs

  1. What should a 2022 developer learn?

    Developers should be proficient with in-demand programming languages, such as:
    • JavaScript
    • C++
    • Python
    • R
    • Ruby
    • Kotlin
    • Swift
    • Go
    • Java, etc.

  2. What skill should I learn in 2022?

    Apart from the in-demand tech skills mentioned above, developers can learn:
    • Web development
    • Blockchain development
    • Artificial intelligence
    • Machine learning
    • Internet of Things

  3. Is coding a high-income skill?

    Yes, coding is a high-income skill because of the high demand for software developers worldwide. 

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By May 17, 2022

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