Data scraping and wrangling with Python
For Developers

Python for Data Scraping and Data Wrangling

Python offers a range of frameworks and libraries for data scraping. These include beautiful soup, LXML, mechanical soup, selenium, scrapy ……..

Python is a popular programming language for a variety of applications. However, a few common questions people generally ask about the language are: Is Python used for data scraping? Is Python used for data wrangling? 

Do you want to know more about the role Python plays in web scraping, data wrangling, and data processing? Keep reading! 

In a recent interview, Shadrack Mwangi, a software engineer at Turing, answered popular questions related to Python, data scraping, and data processing. 

Here are the top insights.

What is Python?

Python

What is Python?

Python is an interactive, interpreted, high-level, object-oriented scripting language. Python is free to use and distribute. Also, Python has a simple syntax that is easy to understand. 

Python can perform data analysis, web development, automation, scripting, software testing, prototyping, high-level data structures, data wrangling, and data scraping, among other tasks.

What is data scraping?

Data scraping with Python

Data scraping with Python

Data scraping is the process of getting data from a website, enterprise applications, legacy systems, and databases into a spreadsheet or local file on your computer.

Data scraping tools or software can collect and import the data into a program to integrate it with your business workflow.

What are the benefits of data scraping?

Data scraping has several benefits, including cost-effectiveness, data accuracy, high speed, and ease of implementation.

What are the steps involved in data scraping?

Data scraping involves a series of steps, which include:

  • Finding the URLs for scraping
  • Inspecting the page
  • Identifying the data for extraction
  • Writing the necessary code
  • Executing the code
  • Storing the data

Which programming languages can developers use for data scraping and which one do you use?

Data scraping is a standard process that anyone can perform using different programming languages. Some programming languages used for data scraping are JavaScript, Python, Node.js, Ruby, and C#.

Answering the questions, Shadrack says: “I prefer Python because the scraping tools in Python are mature, and there is extensive support for scraping use cases.”

What role does Python play in data scraping?

Python offers a range of Python libraries and frameworks for data scraping. These include 

  • Beautiful soup: It is a library for pulling data out of HTML and XML files. Beautiful soup is ideal for screen scraping.
  • LXML: It is a tool for C libraries- libxml2 and libxslt.
  • Mechanical soup: It is a library that automatically stores cookies, follows links, and redirects and submits forms.
  • Python Requests: It is the only non-GMO HTTP library with decompression, content decoding, SSL verification, and HTTP’s proxy support features.
  • Selenium: It is a tool that offers a simple API to write acceptance or functional tests.
  • Urllib: It is a package that helps you open and read different URLs.
  • Scrapy: It is an open-source web crawling framework that can extract data using APIs.

Python enables smooth and automatic data scraping for different stages. This process includes interacting with the target destination to parse, extend, import, append and harvest data. Python allows you to automate the scripting, passing, and storage of data in one system.

Related Post: 12 Most Popular Python Frameworks

What are some of the challenges in data scraping?

“Data scraping can be challenging when new libraries are asynchronous in the loading stage and do not support client-side rendering. Also, websites have anti-scraping tools that can block IP addresses, proxy checks, and redirect captures,” says Shadrack.

To counter above mentioned challenges, Shadrack advises: “Firstly, you must identify the target for data scraping and then check whether the website has any anti-data scraping tools or not. After that, you need to use a mechanism to bypass the anti-scraping tools. You can use HTML and JSON format to extract data.”

He further adds: “You must get the IR locators to identify the location of data in the script, convert it, and pass it into storage. Also, check the subsequent URLs and make their duplicates using web drivers. Web drivers can simulate the entire browsing experience, including data loading and URL requests for smooth client-side rendering.”

“Another challenge can be authentication during data scraping. To face this challenge, you can create a session containing a username and a password. Log in to the website manually and use cookies to resolve the authentication issues. For complex authentication challenges, you must check the headers sent during authentication requests and compare them to the program you are utilizing,” suggests Shadrack.

What is the benefit of data scraping with Python for an end-user?

Data scraping with Python can help you understand target markets and analyze the competition. Businesses can find extensive data on listing sites and understand how market prices work. Also, they can fetch market prices, popular products, and customer preferences for a competitive advantage to increase their market share.

What is the future of data scraping with Python?

The future of data scraping with Python is quite bright, with many people browsing the internet and creating endless data structures. Businesses will require data scraping professionals to understand market behavior and build solid machine learning and artificial intelligence models. 

What is data wrangling?

Data wrangling is organizing the scraped data into unique data sets. Data wrangling combines different data sets about a particular topic or subject. Data wrangling aims to make the data more accessible and easier to understand.

What role does Python play in data wrangling?

Python offers built-in features for various data wrangling tasks like grouping data, concatenating data, merging data, and joining data frames.

Which is the best Python library for data wrangling?

Pandas is a library written in Python exclusively for data analysis and wrangling. Pandas can intuitively work with labeled and relational databases. Built on two libraries, NumPy for mathematical operations and matplotlib for data visualization, Pandas provides excellent quantitative analysis. Many developer communities offer active support for Pandas.

What are Stemming and Lemmatization?

Stemming extracts the base form of words. For example, the stem is the word ‘drink’ for words like drinking, drinks, etc. So, by using stemming, one can accurately get the stems of different words from the search engine index.

Lemmatization searches for words after a morphological analysis. Using lemmatization, you can search for different inflection forms of the same word. Lemmatization uses a dictionary to establish different forms of the word in a similar context to provide accurate search results. For example, the lemma is the word run for different forms of run like ran, running, runs, etc. 

What are Stemming and Lemmatization used for?

Stemming and Lemmatization can perform the following tasks:

  • Text mining: Text Mining is analyzing texts written in natural language to extract high-quality information. Stemming and lemmatization are forms of natural language processing that look for similar patterns in the text to extract data accurately.
  • Information retrieval: Stemming and Lemmatization help map documents for common topics and group them together. They help display accurate information retrieval from several search results. 
  • Sentiment analysis: Sentiment analysis is analyzing people’s reviews and comments about different products and services. Stemming and Lemmatization help with the text preparation process for sentiment analysis.
  • Document clustering: Document clustering is applying cluster analysis to textual documents. However, the document requires tokenization and removal of stop words before document clustering.

Stemming and Lemmatization help reduce the number of unnecessary words. Also, they enforce tokenization to facilitate document clustering.

Which Python library helps with Stemming and Lemmatization?

Natural Language Toolkit is a Python library that works with natural language processing programs and data. NLTK can help with data classification, semantic reasoning, tokenizing, parsing and tagging.

Related Post: 8 Python Interview Questions Hiring Managers Love Asking Developers

Can I get a high-paying job with Python?

Turing helps Python developers get jobs in top US companies with great compensation and long-term career growth. Visit the Turing jobs page to know more.

Join a network of the world's best developers and get long-term remote software jobs with better compensation and career growth.

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By July 5, 2022
Vue JS Interview Questions
For Developers

Top 21 Vue JS Interview Questions and Answers for 2022

Popular Vue JS Interview Questions: 1. What are props? 2. Does Vue Support TypeScript? 3. What is a Component System? 4. Describe Single File Components.

What is Vue JS? What is Vue JS used for? What are some of the main features of Vue JS? Which is best: Angular, React, or Vue? What are the popular Vue JS interview questions?

What is Vue JS?

Vue JS is an open-source, progressive JavaScript framework that creates dynamic web interfaces. Vue JS is one of the well-known frameworks for streamlining web development services. Vue JS focuses on the view layer, and it can be seamlessly integrated into large front-end development projects. 

Vue JS installation is simple. In Vue JS, interactive web interfaces are simple to comprehend and quick to construct for any developer. 

Vue JS’s initial version came out in February 2014. The framework currently has over 197k stars and over 32k forks on GitHub, making it highly rated and liked by developers.

What are some of the main features of Vue JS?

Here are some of the main features of Vue JS:

  • Virtual DOM

    Vue JS uses virtual DOM extensively. Instead of altering the original DOM, Vue JS uses a duplicate DOM placed in the form of a JavaScript data structure. 

    Every time there is a change in the program, the JavaScript data structure gets modified and compared to the original data structure. This feature offers quick hassle-free modifications in the app. 
  • Data Binding

    With the help of a binding directive called v-bind that is included with Vue JS, data binding assists in manipulating or assigning values to HTML attributes, changing the style, and assigning classes.
  • Components

    Components are one of the important features of Vue JS that helps create custom elements, which can be reused in HTML.
  • Event Handling

    V-on is the attribute added to the DOM elements to listen to the events in Vue JS.
  • Animation/Transition

    When HTML elements are added, changed, or removed from the DOM, Vue JS offers various techniques to apply the transition. The built-in transition component in Vue JS needs to be wrapped around the element to produce the desired transition effect. Developers can easily make the interface more interactive by adding third-party animation libraries.
  • Templates

    Vue converts the templates into simulated DOM Render functions. Developers can use the render function template. However, they must swap the template with the render function to do so. 
  • Directives

    Vue JS has built-in directives such as v-if, v-else, v-show, v-on, v-bind, and v-model, which perform various actions in the frontend development.
  • Routing

    Navigation between pages is easy with the help of Vue-router.
  • Lightweight

    Vue JS script is lightweight and its performance is also very fast.
  • Vue-CLI

    Vue JS can be installed at the command line using the Vue-CLI command-line interface. Vue JS helps to build and compile the project easily using Vue-CLI.

Related post: Here’s What You Should Know About Vue.JS

Which are popular Vue JS interview questions?

Basic-level Vue JS interview questions and answers

  1. What do we refer to as a Vue app that is rendered server-side? 
    A server-rendered Vue JS app might be described as ‘universal’ or ‘isomorphic’. These terms indicate that the bulk of application programs are executable on both the client and the server-side.
     
  2. Does Vue support TypeScript?
    Yes. Vue JS ships TypeScript formal type declarations. This function holds true for Vuex, Vue-router, and Vue core. 

  3. What is a component system in Vue JS?
    The component system allows the abstraction of complex programs into smaller, reusable, self-contained units. 

  4. What are props in Vue JS?
    Props are a type of component where special attributes can be registered.

  5. How to create the two-way binding on textarea, form input, and select elements?
    Using V-model, developers can create the two-way binding on textarea, form input, and select elements. This model automatically selects the appropriate technique to update components depending on the type of input.

  6. Which event modifiers are available in Vue JS?
    The list of available event modifiers is as follows:
    1. stop
    2. prevent
    3. capture
    4. self
    5. once
    6. passive

  7. What is matching by dynamic route?
    A dynamic segment in a route is identified by the colon ‘:’ and is used for matching by the dynamic route. This function enables the route to accept the dynamic value. This feature is useful for transmitting a particular ID along the route.

Intermediate-level Vue JS interview questions and answers

  1. Explain the difference between slots and scoped slots.
    A slot in a child component is a blank space that is filled with data passed from the parent component. Accessing the properties of child components is a restriction of using conventional slots. The child component receives a standard slot that was built within its parent’s scope. 

    On the other hand, a scoped slot enables developers to use the data in the slot content and send data from the child component to the parent scope.

  2. Explain the difference between v-if and v-show.
    To conditionally render a component, developers use the v-if and v-show directives. However, each directive behaves differently, making them perfect for different use scenarios.

    Although v-if reduces the initial render time, v-if is not the best solution to frequently show and hide items. 

    V-show renders the element on the DOM and utilizes CSS to show or hide the element depending on the expression’s outcome. As all the items are added to the DOM, unlike v-if, v-show has no impact on the initial render costs. However, compared to v-if, the cost of displaying and hiding an element is lower because elements aren’t added or removed.

  3. What are functional components?
    Functional components are alternate types of components that render without establishing a component instance. These components lack state and don’t follow the typical component lifecycle. 

    Instead of using an options object, developers design a functional component using a simple function. This process serves as the component’s render function.

  4. Describe Single File Components or SFCs.
    Single File Components are similar to other components. They are self-contained in their own files. Here are some of the benefits of SFCs:

    1. Global Definitions: All SFCs are registered globally and given unique names.
    2. Robust Templates: Instead of using a single template property like other components, developers can easily create template code in SFCs.
    3. CSS Support: SFCs allow developers to apply CSS to the component itself.
    4. Support for preprocessors: SFCs support preprocessors like babel, SAAS, and others.

  5. What is the composition API in Vue JS?
    The composition API has many advantages including improved logic reuse, improved type inference, and more adaptable code organization.

    Composition API is a set of APIs that allow developers to create Vue components using imported functions instead of declaring options. Composition API includes:

    1. Reactivity API (ref() and reactive()) – directly create reactive states, computed states, and watchers.
    2. Dependency Injection (provide() and inject()) – leverage Vue’s dependency injection system while using reactivity APIs.
    3. Lifecycle Hooks (onMounted() and onUnmounted()) – hook into the component lifecycle.

  6. What are mixins in Vue JS?
    A mixin object can contain any component options. A component that uses a mixin has all of the mixin’s options ‘blended’ into its own options.

  7. How do you verify if a mutation occurs in Vue JS?
    Mutations are functions that depend only on their arguments. Testing them is simple. Mutations can be contained in the store. In addition to the default export, the mutations should also be exported as a named export.

Related post: Vue vs React: Which Framework to Choose and When

Advanced-level Vue JS interview questions and answers

  1. Why should arrow functions not be utilized in Vue instances when writing lifecycle hooks?
    Arrow functions cannot declare ‘this’ because they are not self-contained. The parent function’s context is the only context in which the arrow functions can be used. 

    When the arrow function (=>) is used in the Vue app, issues arise since the term “this” does not bind to the Vue instance. 

    As a result, developers strongly advise utilizing the ordinary function rather than the arrow function.

  2. Mention ways to add animations in a Vue application?
    Vue provides four ways to add animations to an application:

    1. Transition and TransitionGroup – Vue components for handling enter/leave and list transitions.
    2. Class-based animations – animations that trigger the CSS class addition.
    3. State-driven animations – transition effects applied by interpolating values such as a component’s style binding.
    4. Watchers – watchers to animate an element based on a numerical state.

  3. What are plugins in Vue JS?
    Plugins are beneficial for code reuse, similar to composition API. Adding functionality at the app level is made easier via plugins. This Vue JS interview question could be used to gauge a candidate’s knowledge of Vue’s more sophisticated features and how they relate to more effectively optimizing your code base. 

    Self-contained code called plugins is frequently used to provide functionality at the app level. Either an object or a function can be used to define a plugin. Both strategies call for the exposure of an install() function, wherein the app.use() function and various extra properties may be given.

  4. What is Vue-loader?
    Developers can create single-file components in the Vue format using the webpack loader plugin: Vue-loader. 

    A single component file has three sections: template, script, and style. The Vue-loader module allows webpack to extract and process each section using different loader modules, such as the SASS or SCSS loaders. 

    Developers can quickly create apps using.vue files thanks to the configuration. 

    With the Vue-loader module, static assets can also be viewed as module dependencies, and webpack loaders can be used to process them. When developing, Vue-loader also makes hot reloading possible.

  5. Describe the best way to maintain state in a Vue application.
    When an application grows in size, both in terms of features and codebase, managing state becomes difficult, and it is not advisable to use an endless network of downstream props and upstream events. In such a case, it becomes essential to hand over state control to a centralized management system. 

    The recommended paradigm for saving states centrally in the Vue ecosystem is Vuex, which is the official state management library. 

    The preservation of a central state is possible using Vuex. Components use Vuex as a reactive data store that updates in response to state changes. Multiple independent components can use the same core state store.

  6. How can you improve the Vue JS app’s performance?
    A Vue application may respond slowly for the following reasons:

    1. You’re relying on many third-party libraries that are misused or too large.
    2. You have many unoptimized and compressed photos.
    3. You are not using lazy loading to load your images.
    4. You are not reusing functionalities across your program.
    5. You have many pages and want to load them all at once.

      Fixing these issues will improve the Vue JS app’s performance.

  7. What are some of Vue JS’s most crucial directives?
    Here are a few of Vue JS’s most crucial directives:

    1. V-if inserts or removes DOM elements based on specified phrases.
    2. Only when the expression adjacent to v-if resolves to false, v-else display content.
    3. V-show is similar to v-if. However, instead of rendering all elements to the DOM, V-show uses the CSS display property to show and hide them.
    4. Developers can use v-for to iterate over items in an array or object.
    5. The v-model is useful for two-way data bindings.

To sum up

These Vue interview questions and answers will help you prepare for a junior as well as senior-level Vue developer position. 

However, remember that there is more than just one correct response to open-ended Vue interview questions. Most times, interviewers are interested in understanding the rationale behind your responses. So, always be ready for questions about how you arrived at your solution during such interviews. 

Remember, technical expertise is only one part of the hiring process. Most recruiters give equal weightage to work experience and soft skills along with technical expertise. 

If you are an experienced and skilled Vue JS developer looking for a high-paying remote job, visit Turing.com. Turing’s developers earn better than the market average in most countries, working with top US companies.


FAQs

  1. What is Vue JS used for?
    Web interfaces and single-page apps are the main uses of Vue JS. However, the HTML extensions and JS base operate in conjunction with an Electron framework. This feature makes Vue JS useful for developing desktop and mobile apps, making it a highly favored frontend tool. 

  2. Is Vue a framework or library?
    Vue JS is a JavaScript framework for creating single-page apps and user interfaces (UIs) (SPAs).

  3. Which is best Angular, React or Vue? 
    Angular is a complete front-end framework, React is a UI library, and Vue. js is a progressive JS framework. 

    Although they can be used to create front-end apps practically interchangeably, they aren’t exactly the same. Therefore it makes no sense to compare them and comprehend their variations. 

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By July 4, 2022
Remote Work Productivity
For Developers

9 Effective Ways to Improve Remote Work Productivity

Best ways to improve remote work productivity: 1. Maintain regular hours. 2. Create a morning routine. 3. Schedule regular breaks. 4. Go out. 5. Ask for what

How does remote work increase productivity? How can you maximize productivity when working from home? How do you stay motivated working virtually? 

Keep reading to find out the answers to these questions.

There are many benefits of distributed teams and remote work, including no commute, an improved work-life balance, better diversity and inclusion, and higher productivity. 

As per research, 77 percent of remote workers say that they are more productive, and 62 percent of the remote workforce believes that remote work improves engagement. But if you’re new to remote work, you may need to tweak your habits and routines to adjust to the remote setup.

Working from home requires figuring out when to work, where to work, and how to draw a line between work and personal life. So, here are nine ways to improve remote work productivity.

9 ways to improve remote work productivity 

  1. Maintain regular hours

    Make a timetable and stick to it. Many remote workers define clear boundaries for when to work and when to call it a day. This practice helps them maintain a healthy work-life balance. 

    One of the best advantages of remote work is flexibility. However, to accommodate someone else’s time zone, you may need to extend your day or start early.

    Automatic time-tracking tools, such as RescueTime, allow you to check whether you’re work schedule is on track. These tools can also assist you to figure out when you’re most productive and most sluggish. 

    You can take advantage of this information by reserving the hours you’re most likely to complete challenging tasks. For example, if you are most productive between 8:30 a.m. and 11:00 a.m., avoid meetings around that period.

    Related post: Remote Work Boosts Productivity & Innovation, Say Multiple Studies
  2. Create your own warm-up routine

    When it comes to getting out of bed each day, a routine is more effective than a clock. Identify what helps you bring your A-game in the morning. Now, this could be brewing a coffee before getting started on your to-do list or a 30-minute run. Look for the right motivator to start your workday and establish a routine.

    Not everyone who works from home adheres to a 9-to-5 timetable, so it’s possible that you have a “getting started” routine at a different time of day. Choose the hours that work best for you and try to stick to them every day.
  3. Schedule regular breaks

    If you work for a company, find out their break policy and use it. If you’re a freelancer, schedule any time during the day to take a break from your computer and phone.

    For full-time employees in the United States, a lunch hour and two 15-minute breaks are the norms. When working at a computer or doing other sedentary activities, it’s crucial to get up and walk every hour to keep your blood flowing. Moving your eyes away from the screen frequently is beneficial, even if it’s only for 10-20 seconds.
  4. Go out

    Get out of the house. Your body needs activity and blood circulation to function properly. In addition, the fresh air and natural light outside will benefit you. So step outside for at least a few minutes before, during, and after your working hours.

    In addition, remote employees can also visit cafes, libraries, and coworking spaces to break the monotony of working from home.
  5. Ask for what you need

    Request the tools and equipment you need as soon as you start working from home or within a few days of realizing you need something new. Now, this can be a computer, monitor, keyboard, mouse, chair, desk, printer, software, and so on. 

    Companies usually set up a budget for home office equipment for remote workers. Inquire about it from HR or your immediate manager. 

    It’s also a good idea to inquire about any loan agreements in place and who would pay for return shipping and disposal of outdated equipment. Also, some companies allow remote workers to bring in a design consultant to ensure that their workspaces are ergonomically designed. 
  6. Create a dedicated office space

    In an ideal world, remote workers would have a dedicated office and two computers, one for business and one for personal use. However, not everyone has a spare space in their home to use as an office, and having two machines isn’t always feasible.

    Set aside a desk or table space and some office supplies, and utilize them solely for work. For example, it’s work time, when your laptop is connected to a display and an external keyboard, and when it’s on your couch, it’s personal time.

    You can also partition your hard drive and set up a different user account for work. Even minor distinctions between work and personal time help your brain recognize when you’re not on the clock, enabling you to achieve a better work-life balance.
  7. Maintain an additional phone number

    Set up a separate phone number for calls from colleagues and clients. It doesn’t have to be a landline or a second phone, and it doesn’t even need to have a SIM card. It could be a voice-over-internet-protocol (VoIP) service like Google Voice or Skype.

    An additional phone number can help you manage your work-life balance better. 
  8. Socialize with colleagues

    Companies with a remote work culture frequently provide opportunities for socialization. For example, they use a team messaging system like Slack to create channels for discussing mutual interests or scheduling events for remote workers in the same area.

    A few interactive activities with colleagues will help you cheer up and get a positive energy flowing. 
  9. Look for training and learning opportunities around you

    When you’re not in the office with your coworkers, you can miss out on in-person training and skill development opportunities. It’s possible that your firm may forget to enroll you in one of their online training courses. 

    You can request online or in-person courses, training, and coaching in addition to top-down training. Numerous online learning sites offer courses in corporate soft skills, programming, technical skills, and other fields. Remote enterprises frequently fund learning and skill training. If your organization doesn’t, ask if they might add it.

Related post: Tips for Succeeding as a Remote Software Developer

Summing up

Figure out what works best for you. Sometimes the answer is obvious, but other times you may need some help from other remote workers in similar situations. Look out for a supportive community out there! 

You can also look for better remote work opportunities. Go to Turing.com. Apply to remote US software jobs from the comfort of your home. Turing’s developers earn better than market pay in most countries and grow rapidly by working on challenging technical and business problems with the latest technologies.


FAQs

  1. How can you maximize productivity when working from home?
    Here are nine tips to maximize your productivity when working from home:

    1. Maintain regular hours
    2. Create a morning routine
    3. Schedule regular breaks
    4. Go out
    5. Ask for what you need
    6. Create a dedicated office space
    7. Maintain an additional phone number
    8. Socialize with colleagues
    9. Look for training and learning opportunities around you

  2. How does remote work increase productivity?
    Employees who work from home are often more productive than those who work in an office. This is because of the option to select their own work hours. This setup allows employees to work when they are most productive, rather than the usual 9 to 5 office hours.

Join a network of the world's best developers and get long-term remote software jobs with better compensation and career growth.

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By June 30, 2022
Top 10 Go Programming language alternatives
For Developers

Top 10 Go Programming Language Alternatives

Go programming language has many alternatives you may want to learn. They include Python, Java, Javascript, PHP, Node.js, Ruby, and Rust. Read on to learn more.

Google created the Go programming language (also known as Golang) to improve software development speed, lower the cost of developing software, and make it easier to read. Go programming language is well suited to building interfaces for command-line applications and utilities requiring plenty of input from the user.

While it’s fast and efficient, Go is relatively new, so only a few good learning resources are available. And so, it may take some time before there is enough content to make learning quicker. 

If you want to escape the limited scope and libraries of the Go programming language, the following are the top 10 alternatives.

Top 10 Alternatives to Go Programming Language

  1. Python

    Python is an easy-to-learn, multi-purpose programming language. This language is especially popular with web developers and data scientists because of its clean syntax, readability, and flexibility. In addition, Python supports object-oriented programming and is well suited for building large applications.

    Go programming language has a smaller set of dependencies than Python. If a library you need isn’t available for Go, you’ll quickly get stranded. However, Python has a vast ecosystem of third-party libraries that make it easy to start quickly. Python is also fast because it is based on dynamic typing, and you don’t need to declare types at the outset like in Go.

    Related post: 12 Most Popular Python Frameworks
  2. Java

    Java is a general-purpose, object-oriented programming language developed by Sun Microsystems in the mid-1990s. Java is platform-independent, meaning you can use it to create applications for Windows, Mac, mobile devices, and embedded systems.

    Many programmers prefer Java to the Go programming language because of its power and flexibility. Since it supports multiple platforms, programmers can deploy Java on different environments and servers without needing additional software. Moreover, Java has an extensive pre-built code library that programmers can use as a starting point.
  3. JavaScript

    JavaScript is a lightweight, interpreted programming language used to create dynamic frontends for web and mobile applications. This programming language is a subset of  Java. Both are compiled, interpreted, and object-oriented languages but have very different syntaxes and runtime environments.

    An essential advantage of JavaScript is its ability to interact with the DOM (Document Object Model), which enables users to modify the HTML of a page without requiring any additional code. Another reason some developers prefer JavaScript to the Go programming language is that the former’s framework allows sending data to servers without reloading a page.
  4. C (Programming Language)

    C is a general-purpose programming language with broad applications. Programmers commonly use C to write programs that control hardware like computers, robots, satellites, and other electronic devices. This programming language is also suitable for straightforward tasks that don’t require much computing power and memory — like running simulations.

    C is more challenging to learn than the Go programming language. C can be easier to learn if you have experience with other programming languages. If you have little programming experience, it would be best to master a more straightforward programming language before trying out C.
  5. C++

    C++ is useful for applications that require complex features, such as real-time algorithms, graphics processing, and large datasets. Bjarne Stroustrup of Bell Laboratories developed C++ as an extension of the C programming language. And so, the language inherits many similar elements, including syntax and basic data types. The language also comprises unique features such as object-oriented programming and support for memory management.

    Unlike the Go programming language, C++ has a reputation for being difficult to learn. The language isn’t easy because of its multi-paradigm nature and more advanced syntax. But this perception holds more weight for beginners than people with considerable programming knowledge.
  6. Haskell

    In 1995, Larry Wall created an imperative programming language and named it after his son, Haskell. Like many modern programming languages, Haskell uses a simple syntax and a concise vocabulary to express computation. Haskell is particularly suited to scripting, as it allows developers to write small programs that serve as building blocks to larger tasks.

    Haskel emphasizes safety and correctness through type checking and static typing. Therefore, the code tends to be more reliable than the Go programming language. Besides being a programming language, Haskell is also a research paradigm.
  7. Rust

    Rust is an open-source programming language primarily used to develop applications requiring speed and efficiency. The language is designed to be memory safe, preventing you from accidentally running into memory errors that can cause your program to crash. This property makes Rust an excellent choice for applications running in a resource-constrained environment like mobile devices or IoT devices.

    Also, Rust is efficient for processing bulky data and other CPU-intensive operations like executing algorithms, which gives it an edge over the Go programming language.
  8. Node.JS

    Node.JS is a JavaScript runtime environment that programmers use to create server-side applications. The aim of developing this language was to provide an easy way to build web applications in JavaScript, but Node.JS has become much more than that. Programmers use Node.JS for projects like building web servers and APIs and writing desktop apps.

    Node.JS is also an excellent choice for building scalable web applications because of its speed and lightweight. It makes handling AJAX requests and rendering HTML on the front end easy. This feature makes it a good tool for creating responsive user interfaces.

    Related post: 7 Advantages of Node.js to Startups
  9. PHP

    PHP (Hypertext Processor) is an open-source general-purpose scripting language that serves as a server-side technology. PHP handles various tasks, from simple data processing to complex web application development. The language is useful for building dynamic websites and applications that must be quickly deployed and updated.

    Some programmers prefer PHP over the Go programming language because it offers a high level of flexibility when building sophisticated applications. PHP provides extensive libraries that make it easy to integrate various online services into your projects, such as payment processing, user registration, and file storage.
  10. Ruby

    Ruby is a dynamic, interpreted, general-purpose programming language focusing on simplicity and productivity. Ruby is widely used in web development because of its powerful collections library, which makes working with maps, arrays, sets, and hashes easy.

    The programming language also has a steep learning curve, making it less suitable for large or legacy projects. However, as you become more experienced with Ruby, you will be able to exploit more of its strengths and fill in the gaps where it falls short of creating robust applications.

To sum up

You can take your pick from the above languages based on your skills and project requirements. 

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Frequently Asked Questions (FAQs)

  1. Is Go programming language worth learning in 2022?

    Of course, the Go programming language is still worth learning in 2022. Go’s ease of learning and scalability make it an ideal language choice for beginners and people seeking long-lasting careers as developers.
  2. What language is most similar to Golang?

    Python is one of the most similar codes to the Go programming language. Both languages are ideal for beginners because they are easy to learn.
  3. Is Go programming language better than Python?

    Go vs Python: both languages have pros and cons; while Python is best suited for solving data science problems, Go is excellent for system programming.

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By June 30, 2022
Fastest growing apps in 2022
For Employers

7 Fastest-Growing Apps in 2022

Here is a list of the 7 fastest-growing apps in 2022: 1. Notion 2. TripActions 3. Postman 4. Figma…Head over to the blog post to know more!

What are the fastest-growing apps in 2022? What is the most used app in 2022? 

Read more to find the answers!

Technology will play a vital role in how employees evaluate employers and how companies find and retain top talent. According to the Adobe Workfront report, 49 percent of U.S. workers said they would leave a company if they were frustrated by their workplace tech. 

The app industry is one of the fastest-growing industries out there. The projected total revenue for the app industry is predicted to reach $613,433 million by 2025. Currently, the Android and iOS platforms account for more than seven million apps, and the rise in remote work has only increased the popularity of such apps. 

The two most important things for companies to survive in today’s world are seamless employee collaboration and the security of company assets. And the latest business apps help with just that.

Some of the popular, growing apps like Slack, Microsoft Teams, Google Workspace, Zoom, DocuSign, Salesforce, and AWS, have powered the workplace collaboration, communication, and security of the teams. Similarly, apps like Notion, TripActions, Figma, Miro, Postman, etc., have risen exponentially in revenue, unique users, industry, region, and the number of customers in 2022.

Content collaboration and security suites significantly rose during the pandemic and post-pandemic. Okta’s Business at Work 2022 annual report shows a 28 percent year-over-year growth for content collaboration and 31 percent for security tools.

Content collaboration tools were never a part of the growing apps from 2017 to 2019. Still, post-pandemic five collaboration tools like Notion, Figma, Miro, Airtable, and monday.com made it to the top of the fastest-growing apps in the 2022 list.

Below is a list of the seven fastest-growing apps in 2022 analyzed based on the data from Okta’s more than 14,000 global customers.

Fastest growing apps by number of customers

Fastest growing apps by number of customers

What is the fastest-growing app in 2022?

  • Notion

    Notion is one of the top note-taking and no-code apps. With a whopping 30 million users in 2022, people use Notion for studying, organizing, website building, and more.

    Notion is an all-in-all digital workspace connecting teams, tools, and information to execute work and processes faster. The app builds effective collaboration between diverse teams and solves problems unique and common to every team.

    Benefits of Notion

    • Teams can work collaboratively and transparently with intuitive and connected navigation
      A flexible index to navigate information easily
    • A powerful tool where daily work and knowledge are found in a single place. 
    • A variety of company-related content can be created and added, including embeds, images, and lists
    • Customization of workflows as per the team requirements with easy drag and drop dashboard
    • Global ecosystem of resources and support with several community-made templates, events, and integrations.
  • TripActions

    TripActions is a top-ranked business app providing travel, corporate card, and expense management solution for businesses. This app is a holistic travel management solution through which customers can book, manage, and track complete travel details and expenses. This single-platform solution uses modern technology to provide high-quality services.

    Benefits of TripActions

    • High-performance travel and spend program can be set up seamlessly
    • Businesses can leverage this app to make their employees travel safe and save travel costs for the company
    • Enables users’ self-service booking and itinerary management with smart cards for better expense management
    • AI-driven personalization provides business-friendly air, car, rail, and lodging inventory to suit the requirements of travelers
    • End-to-end visibility of employee spending through comprehensive travel and spend dashboards
    • Round the clock support by travel agents connected globally.
  • Postman

    Postman is a developer-friendly API platform that simplifies API lifecycle and streamlines collaboration for teams to create APIs seamlessly. According to G2 reviews, Postman is the leading API platform globally, with over 20 million developers and 5,00,000 organizations using it to build powerful APIs.

    Postman benefits

    • A cloud-based API repository to store and manage all the API artifacts. The repository simplifies, scales, and organizes the entire API lifecycle, be it for a single API or the entire API landscape
    • Postman’s comprehensive API tools to expedite the API testing, designing, documentation, replicating, and checking of the performance.
    • Advanced intelligence and insights help to identify potential security issues, search APIs, collections, and workspaces instantly
    • The deep API insights help improve operational management and understand the utilization of team resources more effectively
    • Postman’s public, team, and personal workspaces are designed to share APIs publicly and invite teams to collaborate with API within a workspace.es the workspace
    • Postman seamlessly integrates the API development process to the source code by connecting with the repositories 
    • The multiple CI/CD tools maintain quality across the complete development 
    • Effective monitoring of the APIs is done with the help of multiple integrations
  • Figma

    Figma is the go-to design tool for simplifying design processes, providing better collaboration across teams, and creating websites, logos, or applications. Figma is a popularly growing app that connects design process team members to deliver quality products efficiently and quickly. Figma is a flexible suite that works on any operating system in a web browser.

    Benefits of Figma

    • Teams can effectively brainstorm ideas with FigJam
    • Create design workflows and processes with easy-to-learn and intuitive designs from the FigJam design libraries
    • Create Plugins to augment and automate work
    • Enables live collaboration online that connects teams working remotely 
    • Dynamic design system to improves the design consistency that is accessible across the company
    • Team leads can easily monitor the teams work in real-time with the help of a shared file
  • Miro

    Miro is an online whiteboard suite for teams to collaborate efficiently and effectively anywhere and anytime. With more than 35 million users, Miro offers an intuitive and engaging experience on the online whiteboard.

    Benefits of Miro

    • Exceptional tools to conduct creative and interactive workshops
    • Engaging online meetings can be held with an in-person experience 
    • Brainstorming tools for real-time collaboration showcasing the team’s creativity
    • Enhances the team’s design thinking abilities with pre-built and easy-to-use templates
    • Tools to convert the team’s ideas into actions
    • Facilitates strategic and engaging planning sessions for teams to participate from anywhere
  • Keeper

    Keeper security is one of the fastest-growing apps that create password management and security software to safeguard businesses and customers from data breaches. Keeper is a reliable and effective security software suite that protects passwords for individuals or organizations.

    Benefits of Keeper

    • Allows organizations complete security, visibility, and control across every user on any device
    • The password management and security platform protects the employees’ passwords that need to be shared
    • Easy-to-use and quick-to-deploy solutions for better security and protection of data and systems
  • Airtable

    Airtable is an intuitive, user-friendly, robust platform that allows users to create databases faster. Airtable is a modern-era spreadsheet with innovative features and functionalities like customizable field options, integrations, pre-built templates, etc.

    Benefits of Airtable

    • Unique elements and templates to design a custom interface
    • Excellent collaboration tools for users to assign work, share project status, search and share relevant data
    • Easy-to-use pre-built templates
    • Customization of data allows users to access data in different views like Grid, Kanban, Gnatt view, Calendar, and Form
    • Workflow automation saves the users time and optimizes workflow
    • Teams can easily track changes on their individual tables for better collaboration.

So, which is your favorite fastest-growing app in 2022?

The seven apps mentioned above are popular and widely used by most organizations to streamline their processes and seamlessly collaborate with the teams, especially in a remote setup. 

We’d love to know your choice of the fastest-growing app in 2022. If you are using any of the above-mentioned growing apps for your business or personal use, please share your experience in the comments!

As most companies are adapting to remote work, apps can help developers enhance their creative abilities, improve communication and collaboration with team members, and structure the work better.

Are you looking to hire remote software developers, try Turing. Turing offers customized solutions at every step of your hiring journey. With Turing, you can hire the top 1% from a talent pool of over 1.5 million developers at unbeatable prices in just 3-5 days!


FAQs

  • What is the future of app development?

    According to Statista, mobile app revenue worldwide is expected to reach $613,433 million by 2025. Apps have become an integral part of businesses. The following will be an integral part of app development:
    • IoT and cloud computing
    • AI, AR, and VR
    • Cross-platform development
    • 5G technology
    • Blockchain
    • Wearables
  • Is mobile app development growing?

    In 2022, there are 6.648 billion smartphone users worldwide. The increasing number of smartphone users year on year proves that mobile app development is one of the fastest-growing industries. Most businesses have an app presence to attract targeted customers.

    Key growth indicators for the mobile app development are:
    • Better communication
    • The rise in internet penetration
    • The increasing popularity of mobile games
    • Advanced features

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By June 29, 2022

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