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Top 5 Best Web Development Frameworks For Popular Programming Languages

Here are the top 5 best web development frameworks for popular programming languages, with the help of these you can develop rapid web applications.

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Top 5 Best Web Development Frameworks in 2019

In past years, Web Application Development has gone through a few kinds of evolution. It has become simpler and more flexible for web developers to create web applications. Frameworks are simplified the whole web application development process. There are different types of Web Development Frameworks are out there. The top 5 best web development frameworks for popular programming languages.

Top 5 Best Web Development Frameworks

The Top Best Web Development Frameworks are listed below

1. Django

Language: Python

Python Django

Django is a Python-related opensource web application development framework, Django Follows MVC architectural pattern.

This Framework Supports to build rapid applications development and clean and comfortable syntax such as programmatic and logical design. Still, it is not ideally suitable for beginners; Django is a full-stack web application development Framework for experienced developers and programmers.

The software is developed and maintained by the Django Software Foundation. The main target of this Framework is To simplify the complexity and ease of coding means less code and rapid development.

Django was Initial release on 15 July 2005.

There are different types of popular sites using Django Framework like Public Broadcasting Service, Pinterest, Bitbucket, Instagram, Mozilla Firefox, The Washington Times, Disqus, Bitbucket, Nextdoor, and many more.

For More Info:- https://www.djangoproject.com/

2. Angular JS

Language: Javascript

Javascript Angular js

Angular js is an opensource front-end web application development framework, and it is suitable for single-page web applications (SPAs) written in javascript developed and maintained by Google and its community.

It is based on the client-side model–view–controller (MVC) and Model View ViewModel (MVVM) or model-view-whatever (MV*) architectural Pattern. The initial release on October 20, 2010;
Angular (version 2 or more) is a complete rewrite of the Angular Js (version 1), It is a Written in typescript programming language it contains all the features of Angular JS and also including some other features.

Angular recommends using TypeScript language instead of javascript because Typescript contains additional features. Javascript, Typescript is a superset of javascript language developed by Microsoft; it provides predefined class and interfaces.

There are different types of websites are using Angular Framework like Netflix, The Guardian, PayPal, Upwork, Freelancer, Weather, JetBlue, Lego, iStock Photo, and many more.

For More Info:- https://angular.io/

Also Read: What is Object-oriented and Aspect-oriented Programming Model or Paradigm?

3. Laravel

Language: PHP

PHP Laravel

Laravel is an open-source (licensed under the terms of MIT License ) world’s most popular and widely used PHP framework for web app development, developed by Taylor Otwell Written in PHP.

It is planned for the development of web applications following on the bases of model–view–controller (MVC) architectural pattern and based on Symfony.

The Laravel is the more advanced and powerful alternative to the CodeIgniter framework.
Laravel Framework uses the Model View Controller architectural pattern. Laravel is a Good choice for CMS, news articles or blog sites, social media websites, and forums, etc.

There are several good reasons for this Framework to get the most popular web application development framework; the above reasons are enough to dominate.

Laravel contains various key features like Object-relation mapping (ORM), Templating, easily connected to different types of databases, the process of authenticating and caching very simple in this Framework, you can also create Application Programming Interface (API) easily because of it an inbuilt feature and also simplifies the routing functionality.

The initial release of this Framework in 2011 and the latest version of this Framework is 5.7 in 2018.

Different types of websites are using the Laravel framework like one plus. In, builtwith.com, worldoo.com, laravel.io, worldwalking.org, Cachet, Vuedo, Flarum, TimeGrid, October Cms, and many more.

For More Info:- https://laravel.com/

4. Spring

Language:- Java

Java Spring

The Spring Framework is an application framework for creating both Web and Desktop applications.

Spring is a lightweight and Open-source Framework for Developing Java EE Applications. Developed by Rod Johnson in 2002 and the latest version of the spring framework is 5.1 September 21, 2018, It supports model–view–controller (MVC) Architectural Pattern.

Spring Framework is a replacement for the Enterprise JavaBeans (EJB) Model.

Spring framework contains different modules that can provide a specific level of services

  • Spring Core Container
  • Aspect-oriented programming
  • Authentication and authorization
  • Convention over configuration
  • Data access(It supports both SQL (RDBMS) and NoSQL databases)
  • Inversion of control (dependency injection)
  • Messaging
  • Model–view–controller
  • Remote access framework
  • Transaction management
  • Remote management
  • Testing

There are different types of websites are using Spring framework like yatra.com,spring.io, michaels.com, edufect.com delfi.ee,cw.no, www.is.fi, mascus.com, and many more.

For More Info:- https://spring.io/

5. Ruby on Rails

Language:- Ruby

Ruby On Rails

Ruby on Rails, or you can be called as Rails, is a server-side web application framework for creating dynamic web applications.

Ruby on Rails framework written in Ruby under MIT License, initially developed by David Heinemeier Hansson. It supports model–view–controller (MVC) Architectural Pattern. Rails can also support different types of patterns and models, including convention over configuration (CoC), don’t repeat yourself (DRY), and the active record pattern, etc.

The Ruby on Rails Framework is exposure in the 2000s for web application development ingenious Features such as seamless database table creations, migrations, and scaffolding of views to enable rapid application development.

The initial release in the year 2005 and the latest version of this Framework were 5.2.2 in 2018

There are different types of websites are using Ruby on rails frameworks like Twitter, GitHub, CrunchBase, Groupon, Shopify, Square Urban directory, Zend Desk, and many more.

For More Info:- https://rubyonrails.org/

Depends on your project requirements you have to choose your web development framework.

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Top JavaScript Libraries for Speeding Up Web Development

In this article, we can try to help coders with this tricky issue by highlighting the most popular open-source frameworks and commercial JavaScript libraries.

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Top JavaScript Libraries for Speeding Up Web Development

Developing a modern web application that covers the needs of a specific business can be time-consuming, and doing it from scratch makes the whole endeavour even more challenging. JavaScript remains to be one of the most widely used programming languages geared to serve both the server and client sides.

Its rich ecosystem offers a vast number of open-source frameworks and libraries facilitating the coding acceleration and helping to avoid unnecessary bugs.

Free JavaScript tools often have to be complemented with paid UI libraries for tackling specific development tasks with the utmost efficiency. Generally, the use of ready-made UI components in the development flow provides the following advantages:

  • Reducing time and monetary development costs
  • Making the final product more affordable for end-users (replacing expensive tools like MS Project)
  • Ensuring software consistency (unified design and API)

But seeing the abundance of available JavaScript tools, web developers frequently find it challenging to choose the right ones for their projects. In this article, we can try to help coders with this tricky issue by highlighting the most popular open-source frameworks and commercial JavaScript libraries.

Open-Source JavaScript Frameworks

According to the State of Frontend 2020 survey, web developers still prefer choosing React, Vue.js, and Angular from the realm of JavaScript frameworks as their development helpers. Therefore, we’ve decided to include these well-known technologies in our review and complement this trio with the most popular CSS framework – Bootstrap.

1. React

React js framework

Created and supported by the Facebook development team, React is the most requested front-end framework dedicated to building versatile and SEO-friendly web UIs. This component-based framework supports unidirectional dataflow, providing enhanced control over the whole project. It makes use of the Virtual DOM to boost the UI rendering.

It is helpful for apps requiring regular updates such as Instagram. Migrating between React versions is very simple, as the process is automated in many ways with “code mods” provided by Facebook.

2. Angular

Angular js framework

Angular JS is the most powerful and mature but at the same time, complex JS frameworks. Backed by Google resources, Angular serves for building large-scale and feature-rich enterprise SPAs using HTML and TypeScript. It has a component-based architecture that increases the quality of written code and introduces two-way data binding to display info to end-users.

Utilizing a developer-friendly Angular CLI and intuitive template syntax helps to make the whole development process faster and more productive. Angular ensures the enhanced performance of apps due to a new rendering engine named Ivy added this year in v9.0.

3. Vue.js

Vue js framework

Vue.js is the fastest-growing JavaScript framework utilized by developers to create more maintainable and testable code bases for UIs and SPAs. This lightweight (just 20KB) tool benefits from adopting the strengths of the competitive technologies, namely two-way data binding (Angular) and virtual DOM (React).

When programming with Vue.js, it is possible to use JS and TypeScript equally well and take advantage of reusable components. Framework’s pre-coding structure allows developers to promptly deploy the app without any negative impact on its performance. Thanks to its approachable nature, web developers won’t have to spend much time properly learning Vue.js.

4. Bootstrap

Bootstrap js framework

Bootstrap is probably the first thing that comes to mind when referring to styling and designing responsive mobile and web apps. In simple terms, Boostrap is a mix of CSS, HTML, and JS code. This CSS framework comes with a vast array of design templates for common UI elements (buttons, forms, dropdowns, etc.) and other pre-built components that can be implemented in web projects and fully customized to match any design requirements.

Also, Boostrap provides useful themes, examples, and JS plugins to help web developers in making their apps more visually compelling. There are also special Bootstrap libraries enabling developers to incorporate UI elements in applications based on Angular, React, or Vue without additional coding efforts.

Commercial JavaScript Libraries

Suppose you need ready-made tools for quickly adding complex functionalities such as Gantt charts, Schedulers, or diagrams with editing and customization capabilities to your project. In that case, it is better to consider using commercial JavaScript libraries.

Web developers who invest in commercial JS components receive a rich feature set out of the box, regular updates as well as bug fixes and emergency bug fixes, and timely technical support. Now let us review several paid JavaScript libraries and how they can help in web projects.

5. DHTMLX

DHTMLX framework

DHTMLX provides a JavaScript UI framework comprising plenty of powerful and fully customizable UI components such as Gantt chart, Scheduler, Kanban, Diagrams, Spreadsheet, and many others. In terms of functionality, DHTMLX Gantt and Scheduler can be a great alternative to MS Project, Primavera, and Excel in project management apps.

All DHTMLX UI widgets are notable for modern Material design, advanced performance with a large amount of data, extensive and straightforward API that can be quickly mastered and put to use. DHTMLX is compatible with React, Angular, and Vue.js, and supports TypeScript.

6. Kendo UI

Kendo UI framework

Kendo UI is an HTML5 user interface framework intended for creating enterprise-level applications running well in various production environments. It contains a large package (70+) of out-of-the-box UI widgets with multi-framework support that look native on any device.

The popular MVVM feature of this UI framework ensures robust two-way data binding capabilities. Using a variety of built-in customizable themes, it is possible to adjust the look and feel of Kendo-based apps to your liking.

7. Syncfusion Essential JS 2

Syncfusion Essential JS 2

Syncfusion Essential JS 2 is a JavaScript toolkit of diverse controls (grids, charts, calendars, etc.) helping to minimize the number of third-party components required to complete an enterprise application.

Entirely written in TypeScript, all these components are modular and can be independently incorporated into any project regardless of your JS framework choice.

Thanks to a responsive design and support for touch devices, apps developed with the Syncfusion package are rendered nicely across different platforms, thereby reaching more end-users.

8. Sencha Ext JS

Sencha Ext JS

Ext JS is Sencha’s JavaScript framework that provides a rich set of configurable ready-to-use components for building enterprise-grade web applications. There are also many additional user extensions supplied by the Sencha community.

When coding with Ext JS, it is possible to make use of different scripting techniques, MVC/MVVM architectural patterns, and OOP concepts. The framework is complemented with a variety of special tools enhancing your capabilities without extra manipulations in the main areas of the programming process – design, development, and testing.

Summarizing the above, we can say that all reviewed JavaScript frameworks and libraries have something useful to offer to any web development project and it’s up to development teams to choose the right option depending on their needs.

The commercial JS components are compatible with most of the open-source frameworks allowing web developers to put them together in powerful toolkits for completing resource-demanding enterprise apps.

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Best Way To Learn Python For Data Science

For professionals from the field of data analytics, Python for data science is a must-learning skill. As the IT industry rises, demand for professional data scientists is booming

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5 Reasons Why Your Business Requires Database

For professionals from the field of data analytics, Python for data science is a must-learning skill. As the IT industry rises, demand for professional data scientists is booming, and Python has emerged as the most common data-driven programming language.

Why Learn Python?

Python is one of the essential data science languages if not one. It’s effortless to understand, free, many businesses use it, and there is a range of powerful libraries for statistical visualization and data viewing. One phrase: sooner or later, you have to learn Python if you are looking for a data science career. See the steps below.

1. Set Your Machine

It’s time to start your machine now that you’ve set up your mind. Download Anaconda from Continuum.io, which is the best way to proceed. It comes with most stuff that you’re going to need ever. The main drawback is that, even if the underlying library updates are available, you will need to wait for the Continuum to upgrade its bundle. If you’re a novice, it should hardly matter.

In-Demand Programming Languages - Python For Data Science

2.  Learn Python Basics

Begin with the basics of the language, libraries, and data structure. Free course in Python from reputed portals is one of the best locations to launch your career learning path. This course aims to get started with Python for data science and make the basic concepts of the language comfortable.

3. Plan for Some Mini Python Projects

You can try to program stuff like online game calculators or a program to gather weather from Google in your area. It’s also possible to develop simple games and applications to help you get to know Python.

Building such mini-projects can help you to learn Python. Projects such as these are joint in all languages and a perfect way to improve your basic knowledge. You should start developing your API experience and start web scraping. In addition to helping you learn Python programming, web scraping is helpful later to collect data.

Boost your learning and find answers to your problems with Python programming. To learn best practices in Python and data science – and to acquire new ideas, read tutorials, blog posts, and even open-source code for other people.

4. Know Python Data Science Libraries

It is where Python’s real strength with data science is introduced. Python has various science programming databases, analyses, and displays. There are some of them in the following list:

Numpy: It is an integral data science library of Python, meaning ‘Numerical Python.’ It’s used for scientific computation with an efficient n-dimensional array object and provides C, C++ integration tools. It can also be used for generic data as a multidimensional container where many Numpy operations and special functions can be performed.

Machine Learning with Python

Pandas: It is a primary Python Data Science library. It is used to manipulate and analyze data. It is suitable for various data, including tabular, ordered, and unordered time series and matrix data.

MatplotLib: It is a versatile Python visualization library. Matplotlib is used in scripts, shells, web services, and other GUI toolkits. Using Matplotlib, you can use several plots and how several schemes work.

Seaborn: It is a Python statistical plotting library. If you use Python for Data Science, you will be drawing statistical graphics by MatplotLib (in 2D viewing) and Seaborn, which have their beautiful standard styles and high-level GUI.

Scikit-Learn: One of the key attractions is Scikit learning, where you can use Python to introduce machine learning. It is a free library with easy and powerful tools for analyzing and mining data. You may use Scikit-Learn to implement different algorithms like logistic regression and time series algorithms.

5. Develop a Portfolio of Data Science

A portfolio is necessary for aspiring data scientists. These initiatives should involve interacting with many different datasets so that readers can glean exciting insights. Some types of industries to take into account:

Data Cleaning Project — If you clean up and evaluate dirty or ‘unstructured’ data from any projects, potential employers will get impressed as most real-world data need cleaning.

Data Visualization Project — Making visualizations appealing and understandable is both a programming and a design challenge, but the research will significantly affect if you can do it correctly. You will stand out with fantastic charts in a project.

Database Management For Startups

Machine Learning Project — You certainly need a project to demonstrate your ML chops if you like to work as a data scientist role (and you may want to have a few different machine learning projects, each with an additional standard algorithm because of your work).

6. Apply Advanced Data Science Techniques

Lastly, you have to develop your skills. Your career path into data science will be full of learning, but specialized courses are available, ensuring all the basics are covered. You might be comfortable by knowing regression, classification, and k-means clustering models. You can also join machine learning – bootstrapping models and the creation of neural networks using Scikit-Learn.

Projects may include the creation of models using live data feeds at this stage. This type of machine learning model adjusts its predictions over time.

Start Your Interactive Python Course Right Now!

If you are starting your Python journey, the most you can do is lay yourself on the basics. Our introductory Python courses are interactive and allow you to apply as you learn. There are plenty of Python learning options available. Still, it is better to pick somewhere that teaches data science explicitly if you are looking to learn a Python Data Science course.

Python is also used in various other programming disciplines ranging from game development to smartphone applications. You need not require previous programming experience, and as soon as you finish your project, you will have developed from the ground up a real data science project using your new Python language skills!

Learn Python for Data Science with the help of an abundance of online courses, tutorials, and workshops and start working with oceans of data faster rather than later. There are practically infinite professional opportunities from there.

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