The Essential Types of Software Engineering & Development

we have seen software development is about problem solving , now to solve the problem we need to design a solution in terms of software

In this section we are going to learn and talk about the different types of software developments going on in the real world IT industry software projects

this will give you idea on what kind of work actually getting done in real world IT software development projects also will give you comprehensive understanding of what types of software can fulfill specific requirements

in this section we will see

1. Front end development

2. Backend development

3. Api Development

4. Data science

5. Mobile development

6. Desktop Development

7. Cloud computing development.

8. Video game development

9. Imbedded system development

and all other relevant type of software development.

eventually we will also learn in detail how the single software project needs the bundle of one or more types of software development to fulfill the project requirements via the real world example of Y-MART ecommerce application

if you are someone who is software developer then you can think of getting your expertise build in any of these development disciplines.

in this session we will understand in detail on each type of development,

so let's not waste any more time and get started!

front end web development

front end

frontend web development

microfrontend

react

frontend

front end development

front end developer
Web Development

JavaScript

React JS
Front end development :

Front end development is also called web app development.

in simple word front end is something which end users interact with , for example Now you will be watching this lecture over udemy website, what ever you see in the browser, the colorful interface it is the UDEMY front end. so the somebody needs to develop this right ,so this development is called as front end development.

front end is the most visible ,accessible and usable part of your software applications, mostly you will be judge first based on your front end application. front end development is one of critical software development which will decide the success of your project.

so every effort will be taken to make this front end , as appealing and aesthetic to user as possible , as easy to access as possible , as usable as possible.

A special focus will be given on how fast user can get his work done using the front end, How the user can get more done in less time.

the efficient frontend is something which make user more work done with less clicks also about front end it is well said that

"The purpose of front-end development is to make things that are easy to use and good to look at." - Rebecca Murphey

every project will have team of front end developers who works on the development of front end.

end user can access the front end in the web browser ,here in technical terms the web browser called as client, hence the front end development referred as client side development.

Core Front end development technologies means programming languages are JavaScript, CSS, and HTML

however there are front technology framework exists which will help us to develop the front end in easier ,quicker, faster and more manageable way.

Top Javascript front end frameworks are

1. React

2. Angular

3. Vue.js

Top CSS frameworks are

1. Bootstrap

2. Materialize

3. Semantic ui

4. Bulma etc

If some one is aspire to become a front end developer then you much possess these skills.

This front end is strongly supported with the strong backend system for its functioning.

in the upcoming session we will see the back end development in detail.

1. Back-end development :

we have seen front end is supported with strong back end for its functioning's, so in simple words we can say backend development is a type of development that takes place behind the scenes, you cant see it the way you see front end. to give you analogy "The back-end of a website is like the engine of a car - it's not seen, but it's what powers everything." - Unknown

Backend development is the foundation of any successful web application,

Great backend is all about efficiency, scalability and security.

so till now if this is clear to you then let us see where is backend located.

as front end is executed on the end user browser that is client , backend is executed or hosted on the servers. as soon as the request from front end received at the backend, backend will process it .

for example if end user filed the form over the front end , the data will be sent to the backend server, server will verify the data against business rule, save data to the database, and update the end user over the front end. So in other words you can also say backend drives the front end.

from all these we can say backend development is also one of the important kind of software development. to carry out this development every project will have a expert people working on backend development.

"A great back-end developer is someone who makes the front-end developer's job easy." - Kyle Galbraith

The most popular back-end programming languages today are

JavaScript (Node.js)

Python

Ruby

java

C#

and most popular back end frameworks are

Express a Node.js framework

Ruby on Rails

Django-high-level Python framework

Spring - Java framework

.net Framework-Asp .net

1. API development

   API stands for Application Programming Interface.

   Just think we have different kind of software's for example front end one ,back end one and different other type of software, what API does is, API allows different software programs to communicate with each other. Think of it as a messenger that delivers a request from a program to a service and then sends the service's response back to the program.

   "APIs are the digital glue that connects the modern web." - Adam Preset, Director of Product at Postman

   Facilitation of communication turns APIs a super power. API has revolutionized the software development . APIs are helping to extend the capability of software beyond the boundaries. this is very important advantage of API

   Now a days many core companies are exposing there APIs, The people like you and me can use those apis and extend our applications functionalities with minimal efforts.

   for example consider Zomato application once you place the order ,you can track the delivery time by tracking the delivery boy status over the Google map, so google map has exposed the interface means APIS which Zomato is using and this capability is taking the Zomato to altogether different level . just think if google map wouldn't exposed the API , is it possible for zomato to track the delivery boy status , might be they could have developed there own, but it would have taken then immense resources time and huge money. This all headache is handled by google maps and given a clean API for use to application like Zomato and reduce the time to deliver the software's to market.

   Every software project you can see people who are expert in API technologies to build and consume the APIs

   Technologies used in building APIs are :

   1. REST (Representational State Transfer): This is a popular and widely-used API architecture style. RESTful APIs use HTTP requests to POST (create), PUT (update), GET (read), and DELETE (delete) data.

   2. SOAP (Simple Object Access Protocol): This is an XML-based protocol for exchanging structured information in the implementation of web services.

   3. GraphQL: This is a query language for APIs that allows for more flexible and efficient communication between the client and the server.

   4. gRPC: This is a high-performance, open-source framework for building APIs using the Protocol Buffers data format.

   5. WebSockets: This is a protocol for bi-directional, real-time communication between a client and a server.

   Programming languages used for building apis are

   Python ,javascript, C#, java, Ruby,GO,,PHP etc. these are the popular ones.

Data Science : This was the new budding development which has emerged and is in great demand, it is the field of study at junction of programming and data analysis.

you would have heard this quote "Data is the new oil. It’s valuable, but if unrefined it cannot really be used. It has to be changed into gas, plastic, chemicals, etc to create a valuable entity that drives profitable activity; so must data be broken down, analyzed for it to have value." - Clive Humby

Single set of data is not that meaningful but when you analyze the significant amount of data then it became lot much important, and data science cater this requirement

and what value it gives is it enhance the decision making by providing the evidence based insights and it is most important thing because decision shapes destiny of companies.

Think of it like a detective trying to solve a mystery. The detective has a lot of information (the data) and uses different tools and techniques to analyze that information and draw conclusions. Similarly, data scientists use various techniques to analyze data and gain insights that can be used to make informed decisions.

For example, a company might use data science to determine

1. which products are selling well and which aren't, so they can make changes to improve their business. Or,

2. a hospital might use data science to analyze patient data to identify patterns and predict future health problems, allowing them to provide better care to their patients.

3. Airline companies use data science to categories and understand the feedback received from the customer

Data science is not a single skill, but a combination of several skills, including statistical analysis, programming, data visualization, machine learning, and storytelling.

in this development activities done are :

Problem definition and data collection. : defining the problem that needs to be solved and identifying the relevant data that can be used to address it.

Data cleaning and preparation :cleaning and preprocessing the collected data to remove errors, inconsistencies, and irrelevant information.

Exploratory data analysis: This involves exploring and visualizing the data to understand its patterns and distributions. This helps in identifying any outliers, trends, or patterns that can be further analyzed.

Model building and evaluation: This involves building mathematical models that can be used to make predictions or classifications. The models are then evaluated to determine their accuracy and reliability.

Deployment and maintenance: the build model will be deployed ,maintained and monitor to ensure that model continues to perform well over time.

Communication of results: This involves communicating the findings and insights gained from the analysis to stakeholders. This can involve creating visualizations, reports, or presentations that can be easily understood by decision-makers.

programming language used for data science development are

Python : used for data analysis and machine learning.

R :R is a statistical programming language that is widely used for data analysis and statistical modeling.

and SQL :managing and retrieving data from databases.

are the most commonly used programming languages for data science.

Mobile Development

Tim cook once said “The mobile phone has become the lifeline of 21st century living.” - Tim Cook

From 21st century approx. ,As the mobile became affordable, accessible to most of the people the mobile development taken a big swing . Now a days you might see that few companies will not have there website but they will have there apps.

“Mobile is becoming not only the new digital hub, but also the bridge to the physical world.” - Mary Meeker.

SO mobile development is about building application which will run over mobiles.

Mobile development uses completely different set of tools than usual software development,

Mobile predominantly running on either Android or IOS operation systems.

If you want to build applications for android then popular programming languages are

JAva

Kotline

C++

Flutter

and if you want to build IOs application then programming language used are

Objective C

and Swift programming .

in mobile development there are further two types of development

Native App development & Hybrid or cross platform development :

Native Apps means : these app specifically build for the particular platform means operating system. such as iOS or Android, and is installed directly onto a device. native apps are built to take advantage of the device's hardware and software capabilities, such as the camera, accelerometer, and touch screen. Native applications provides great performance ,and Optimized for that particular OS

so if you have requirement to build app for mobile , that to native then you need to build two apps

Exactly opposite is

Hybrid or cross platform development ,

where you develop single application single code base and it will work on both the operating systems . this looks like cost effective and time saving method but these kinds of applications are not great in performance since those are not optimized for the particular OS.

For Hybrid or cross platform development the programming languages used are JavaScript

Dart

C# etc.

this is all about mobile development. it is also in great demand ,to make you understand the importance i will quote Mark Zuckerberg sentence which he said

1. “The future of mobile is the future of everything.” - Mark Zuckerberg

Desktop Development :

Desktop application are the application that run only on the desktop operating system like windows MAC and Linux distributions means different Linux operating system.

Initially desktop development was the major mode of software development in the industry but since when the smartphones and mobile became accessible to all people, The speed at which desktop software development was developed has slowed down.

another blow to desktop development was because of the evolution cloud technology.

Many individuals find it more convenient to access applications through a web browser rather than installing them directly on their system.

this shift from desktop application to web based application is the paradigm shift you can say.

A prime illustration of this shift is the change in the way we use office-related applications. In the past, you will be remembering we would install Microsoft Office to access such applications.

However, with the advent of Google Workspace, which offers similar apps accessible through a web browser, Microsoft was forced to alter its approach and launch an online version of its office suite, Office 365. now you can access the office applications within browser as well and the data will be saved in the office 365 cloud.

However, desktop app development remains relevant, as people still use these types of applications. One such example is web browsers, which are the most used desktop applications to access the internet.

if project demands the desktop application then we need to build the desktop applications

There are many programming languages and frameworks that are commonly used for desktop app development. Some of the most popular programming languages used in desktop development include:

1. C++

2. Java

3. C#

4. Python

5. Visual Basic

In addition to programming languages, there are also several frameworks and libraries that are commonly used in desktop app development. Some popular frameworks and libraries include:

1. Qt (for C++ development)

2. JavaFX (for Java development)

3. .NET Framework (for C# development)

4. PyQt (for Python development)

5. WPF (Windows Presentation Foundation for C# development)

The choice of programming language and framework will depend on the specific requirements of the project, as well as the preferences of the developer. Some developers prefer to use a low-level language like C++, while others prefer to use a higher-level language like Python, as it offers a more intuitive and streamlined development experience. Similarly, some developers may prefer to use a specific framework that offers a certain set of features, while others may opt for a more flexible and customizable approach.

Cloud computing development :

we have seen data growth in this era is exponential, Data is important and

we can not save, maintain this much data locally in our machines, because our machine is not a reliable source, it might get damaged, stolen and these incidents make the data unrecoverable.

in such challenges the cloud technology helps.

"Cloud computing is essentially renting computing power, storage, and other capabilities over the internet." - Tim O'Reilly

Cloud computing facilitates us expand the computing power, storage and capabilities to cloud.

before cloud , if any company wants to build the websites then they need to buy the server, maintain the servers, its power, memory storage, infrastructure everything even if that is not there cup of tea. with the invention of cloud all these headache has been gone to the cloud service provider and it has reduced the time to market of product.

Cloud computing is a rapidly evolving field and has seen significant growth and development in recent years. Here are a few notable developments in cloud computing:

1. Multi-cloud and Hybrid Cloud: Organizations are increasingly adopting a multi-cloud and hybrid cloud strategy, where they use a combination of public and private clouds to meet their computing needs.

2. Artificial Intelligence and Machine Learning: Cloud providers are investing heavily in AI and ML technologies and integrating them into their cloud services, making it easier for organizations to incorporate these technologies into their operations.

3. Serverless Computing: Serverless computing is becoming more popular, allowing developers to build and run applications without having to manage the underlying infrastructure.

4. Internet of Things (IoT): The growth of IoT is driving the need for cloud computing capabilities, as the vast amounts of data generated by IoT devices require storage and processing in the cloud.

5. Edge Computing: Edge computing is an emerging trend where computing is performed at the edge of a network, closer to the source of data, rather than in a centralized data center.

These developments are shaping the future of cloud computing and driving innovation in the industry.

Cloud computing represents a huge opportunity for businesses of all sizes to access powerful technology without the high costs and complexity of traditional IT

There are many programming languages and technologies that are commonly used for cloud computing solution development. Some of the most popular programming languages include:

1. Java

2. Python

3. JavaScript

4. Go

5. Ruby

In addition to programming languages, there are also several cloud-specific technologies and frameworks that are commonly used in cloud computing solution development. Some popular cloud technologies include:

1. Amazon Web Services (AWS)

2. Microsoft Azure

3. Google Cloud Platform (GCP)

4. Docker

5. Kubernetes

Other popular cloud-related technologies and frameworks include:

1. Serverless computing (such as AWS Lambda, Azure Functions, and Google Cloud Functions)

2. Microservices architecture

3. Infrastructure as Code (IaC) tools (such as Terraform and CloudFormation)

4. Database technologies (such as Amazon DynamoDB, Azure Cosmos DB, and Google Cloud Firestore)

The choice of programming language, technology, and framework will depend on the specific requirements of the project and the preferences of the development team.

Kept this session to explain you this term that is Full stack development which became widely famous in these days.

we have seen that every software project is the bundle of different type of software developments this is we have seen and understood well.

so majorly the standard software project in these days will have Front end + backend + api + mobile + cloud development these five are the major kinds of development software will have now a days

now software companies initially used to hire the separate individual for separate kind of development skills. like front end developer for front end development ,back end developer for back end development ,API developer for API development and so on

but they realize that this process sometime goes inefficient and incurs huge cost and people are constrain to certain type of development however project is using several types of development

so they introduce the term full stack development means development which has all the above kinds of development and the person who work in such project called a full stack developer who will hold the knowledge of all these kind of development.

so expectation here is the full stack developer should know frontend ,backend ,mobile ,api and cloud development.

"Full-stack development is about being able to take an idea from concept to completion, with the ability to tackle any challenge that arises along the way." - Robert Zabourski

and the demand of full stack developer is sky rocketed since 5 years , majority of the companies wanted the full stack developer.

and one more reason for this demand is Agile methodology of software development which insist and recommend to have the all the full stack developer in the team. we will going to see this in the upcoming session.

so full stack developer will be supposed to have knowledge about all the front end and backend technologies

Video game development is the process of designing, creating, and programming video games. It involves various aspects such as game design, animation, graphics, audio, and programming. A video game development team typically consists of artists, designers, programmers, and producers who work together to bring the game to life.

The video game industry is one of the fastest-growing and most lucrative industries in the world. The global video game market is expected to reach over $159 billion in revenue by 2022. The growth of the video game market is driven by advancements in technology, the rise of mobile gaming, and the increasing popularity of esports. The demand for video games is growing, and the industry offers exciting and dynamic career opportunities for developers.

many developers will specifically looks for the software companies which works on video games development

There are several programming languages and frameworks used for video game development, depending on the type of game, platform, and the developer's preference. Some of the most popular ones are:

1. C++: It is a high-performance language that is widely used for game development due to its speed and the ability to handle large amounts of data. It is used to develop games for various platforms, including Windows, MacOS, and Linux.

2. C#: It is a high-level language that is popular for game development on the Microsoft platform, including Windows and Xbox. It is used in the development of 2D and 3D games, as well as for virtual and augmented reality games.

3. Unity: Unity is a cross-platform game development engine that supports the creation of 2D and 3D games. It uses C# as the primary programming language and provides a visual interface for designing and building games.

4. Unreal Engine: Unreal Engine is a popular game development engine that supports the creation of high-quality 3D games. It uses C++ as the primary programming language and provides a visual interface for designing and building games.

5. Python: It is a high-level language that is popular for game development due to its simplicity and ease of use. It is often used for developing smaller games, as well as for prototyping and scripting.

6. JavaScript: It is a high-level language that is popular for game development on the web platform. It is used to develop browser-based games and interactive experiences.

Embedded system development refers to the creation of computer systems that are integrated into other devices or products. These systems are designed to perform a specific function or set of functions, and they are often small, low-power, and resource-constrained.

"Embedded systems development is a critical aspect of modern technology, as these systems provide the foundation for a wide range of devices and products that are essential to our daily lives."

Here's a simple example to help understand what an embedded system is:

Imagine you have a toaster at home. A toaster is a device that toasts bread, right? But, if you take a closer look, you'll notice that there are many components inside the toaster that work together to make the toast. There is a heating element, a timer, and a control system to regulate the temperature and timing of the toasting process. These components are examples of an embedded system. They are designed to perform a specific function (toasting bread) and are integrated into the toaster.

So, embedded system development is the process of designing and creating these components and integrating them into a device to perform a specific function. This could be anything from a simple toaster to a complex system like a car's engine control unit, which manages the engine's performance and fuel efficiency.

In summary, an embedded system is a computer system that is integrated into another device or product to perform a specific function

"The future of embedded systems development is bright, as the demand for these systems continues to grow in a wide range of applications, from consumer electronics to industrial automation and beyond."

There are several programming languages commonly used for embedded system development, including:

1. C: C is a low-level programming language that is widely used in embedded system development due to its efficiency and performance. It is commonly used to develop the firmware (i.e., low-level software) that runs on the microcontroller or microprocessor of an embedded system.

2. Assembly language: Assembly language is a low-level programming language that is used to program microcontrollers and microprocessors directly. It is often used in situations where maximum performance or low power consumption is required.

3. C++: C++ is an extension of C that provides object-oriented programming capabilities. It is used in embedded system development when a higher-level programming language is needed to manage the complexity of the system.

4. Python: Python is a high-level programming language that is commonly used in embedded system development for scripting, prototyping, and testing. It is known for its ease of use and readability.

5. Java: Java is a high-level, object-oriented programming language that is widely used in embedded system development for developing applications that run on embedded systems with a Java Virtual Machine (JVM).

These are just a few of the programming languages commonly used for embedded system development. The choice of a programming language depends on the specific requirements of the project, including the target platform, performance requirements, and the skill set of the development team.

Thought of adding this session to cover Progressive web app development. because these type of web apps are in demand ,and many project will have this requirements.

Before seeing PWA let us understand problems of traditional web apps and how the PWA solves it :

1. Slow loading speed: : Imagine you are a big fan of a fashion e-commerce website and you love to shop on it. However, every time you try to access the site on your phone, it takes forever to load, the images are slow to display, and you have to zoom in and out to navigate the site. This is not a great experience, and it can be frustrating. this can be because you have slow connection speed or low bandwidth

PWA solves this problem ,PWA sites it loads fast, images display quickly, and you can easily navigate the site using your fingers this is happens because PWA used cache optimally

1. No internet connection sometime : suppose you have limited or no internet access for small time period then during that time normal web apps you can not access ,but PWA you can , so PWA is meant to work in offline environment as well.

2. Limited functionality on low-end devices: PWAs are designed to be lightweight and work well on low-end devices, making them accessible to a wider audience.

3. Difficulty in discovery and installation: PWAs can be discovered through search engines, and they can be installed on a user's device with just a few taps, making them easier to find and install than traditional native apps.

4. High cost of development and maintenance: Developing and maintaining a native app for multiple platforms can be expensive, but PWAs can be developed once and work on all platforms, reducing the cost and effort required.

5. Limited reach: Native apps are only accessible to users who have downloaded them from app stores, but PWAs can be accessed from any browser, making them accessible to a wider audience.

but as per This is not a separate kind of development but it is a extension to the normal web app development where your application will have more capabilities

the technologies which enabled the PWA are

1. Service Workers: A script that runs in the background and enables PWAs to work offline, handle push notifications, and provide a native app-like experience.

2. Web APIs: A set of APIs that allow web apps to access native device features, such as camera, geolocation, and storage.

3. Web App Manifest: A JSON file that provides metadata about the PWA, such as the app's name, icons, and start URL. This file is used by browsers to install the PWA on the user's device.

Once upon a time, there was a group of developers who were tired of being limited by proprietary software. They wanted to create software that was free to use, modify, and distribute. And so, the idea of open source software was born.

Open source development is the practice of creating and sharing software in an open and collaborative manner. This means that anyone can view, modify, and distribute the source code of the software. This approach has led to the creation of some of the most popular and widely used software in the world, including the Linux operating system, the Apache web server, and the Firefox web browser. MySQL database management system and the list goes on.

But open source development is more than just about creating free software. It is also about creating a community of developers who work together to improve the software. This community is made up of people from all over the world who share a common goal: to create software that is better than anything that could be created by a single company or individual.

One example of this collaborative approach to software development is the development of the WordPress content management system. WordPress is an open source software that powers millions of websites around the world. It was created by a small group of developers, but it has grown into a massive community of developers who contribute to the project in many different ways.

Some developers contribute by writing code, while others contribute by designing themes and plugins that extend the functionality of WordPress. There are also developers who contribute by testing the software, writing documentation, and helping others in the community.

From developer point of view the skills required for Open source software developments are

1. Proficiency in a programming language: Depending on the project, you may need to know one or more programming languages, such as C, C++, Python, Java, C#, JavaScript, or Ruby.

2. Version control: Experience using version control tools such as Git, Mercurial, or Subversion is essential for open source software development, as this allows developers to work collaboratively on the codebase.

3. Debugging and testing: The ability to identify and fix bugs, as well as write and run unit tests, is important for ensuring the quality of the software.

4. Familiarity with open source tools and frameworks: Many open source projects use popular tools and frameworks such as Apache, Django, or jQuery, so familiarity with these can be helpful.

5. Communication skills: Open source software development often involves collaborating with other developers, so strong communication skills, including the ability to write clear and concise documentation and interact effectively with the community, are also important.

6. Community building and management: Skills in community building and management are important for open source development, including the ability to engage and communicate with users, attract new contributors, and manage project resources.

The success of WordPress and other open source projects has led to a growing demand for developers who are skilled in open source development. There are many career opportunities available for developers who have experience in open source development, including roles as software engineers, project managers, and community managers.

In addition to career opportunities, there are also many benefits to contributing to open source projects. Developers who contribute to open source projects have the opportunity to work on exciting projects that have a real impact on the world. They also have the opportunity to collaborate with other developers from around the world, which can lead to new friendships and professional connections.

As the world becomes increasingly dependent on software, the importance of open source development will only continue to grow. Open source software is used in everything from smartphones to automobiles to airplanes. By contributing to open source projects, developers can play a vital role in shaping the future of technology.

Once upon a time, businesses relied on paper and pen to keep track of their operations. But as technology evolved, so did the way businesses operated. Today, enterprise app development has become essential to the success of businesses of all sizes.

Enterprise app development is the process of creating applications that are designed to support the specific needs of businesses.

These apps can range from customer relationship management (CRM) tools to project management software to inventory management systems, Employee portals to HR tools and so on

One example of successful enterprise app development is Salesforce. Salesforce is a cloud-based CRM platform that helps businesses manage their sales, marketing, and customer service activities. It is one of the most widely used enterprise apps in the world, with millions of users across industries.

Another example of an enterprise app is Workday, which is a cloud-based human resources and finance software used by many organizations. It provides tools for managing employee data, payroll, benefits, and other HR functions, as well as financial management, procurement, and expense management.

To be successful in enterprise app development, developers need to have a strong understanding of programming languages such as

JavaScript Java,

Python, and

C#.

They also need to be skilled in software development frameworks such as

Angular,

React, and

Node.js.

.NET etc

Every enterprise is different and unique so lot much scope for Customization and integrations The future of enterprise app development is bright. As businesses become more reliant on technology to support their operations, the demand for skilled developers in this field will only continue to grow. In addition to traditional business software, there is also a growing demand for mobile enterprise apps that can be used on smartphones and tablets.

By working in enterprise app development, developers can help businesses operate more efficiently and effectively, and make a real impact on the world.

Once upon a time, shopping used to mean getting dressed, hopping into a car, and driving to the store. But with the rise of technology, shopping has become more convenient than ever before. Today, you can buy anything from anywhere in the world with just a few taps on your phone, thanks to ecommerce apps.

eCommerce app development refers to the process of building an application that allows businesses to sell products or services online. An eCommerce app is typically designed to provide a seamless experience for customers to browse, select, purchase, and track their orders using their mobile devices.

For example, consider an eCommerce app like Amazon. The app allows customers to browse through millions of products, view product details, add products to their cart, and checkout using a secure payment gateway. Customers can also track their orders, view their order history, and manage their account settings, all within the app.

In order to develop an eCommerce app, a range of technical skills are required, including:

1. Mobile App Development: The eCommerce app needs to be designed and developed to run seamlessly on both iOS and Android devices.

2. Front-end Development: This involves developing the user interface and user experience of the app to make it visually appealing and easy to use.

3. Back-end Development: This involves developing the server-side components of the app that enable it to communicate with the database, handle user authentication, and manage order processing.

4. Database Management: An eCommerce app needs to manage a large volume of data, including product information, customer details, and order information. Therefore, expertise in database management is essential to ensure the app runs smoothly.

5. Payment Gateway Integration: An eCommerce app needs to integrate with payment gateways to ensure secure and seamless payment processing.

6. Testing and Quality Assurance: The app needs to be thoroughly tested to ensure it is bug-free, secure, and provides a seamless user experience.

The popular programming languages and frameworks used for ecommerce applications are

1. Javascript

2. java

3. C#

4. swift and kotline for mobile development

5. mobile app development frameworks such as React Native and Angular and Flutter.

People who are skilled in these technologies will be well-positioned to take advantage of Ecommerce development opportunities. By working in ecommerce app development, developers can help shape the future of shopping and make a real impact on the world.

The future of ecommerce app development is bright. As more and more people around the world gain access to smartphones and the internet, the demand for ecommerce apps will only continue to grow. Ecommerce companies will continue to invest in app development to stay ahead of the competition and provide their customers with the best possible shopping experience.

Once upon a time, businesses relied on paper and file cabinets to store their data. But as the volume of data grew and technology evolved, the need for organized and efficient data management became increasingly important. and this develop the need for database management system.

Database Development is the process of designing, creating, and maintaining databases that can store and manage large volumes of data. Databases can range from simple collections of data to complex systems that power entire businesses.

One example of successful database development is Oracle. Oracle is a database management system that is widely used by businesses of all sizes. It allows businesses to store and manage vast amounts of data, including customer information, financial data, and inventory data.

To be successful in database development, developers need to have a strong understanding

database management systems such as Oracle, MySQL, and Microsoft SQL Server.

There are several types of databases, each with its own unique features and benefits. Here are some of the most common types of databases:

1. Relational Databases: Relational databases ar e the most widely used type of database. They organize data into tables, which are linked by relationships based on common fields. This allows for efficient storage and retrieval of data, making it ideal for businesses and organizations. MySQL, Oracle Database, Microsoft SQL Server, PostgreSQL, and SQLite are all examples of popular relational database management systems

2. NoSQL Databases: NoSQL databases, or "non-relational" databases, are designed to handle unstructured and semi-structured data. They are often used for big data applications and real-time web applications. NoSQL databases can be faster and more flexible than traditional relational databases, but they may require more specialized skills to work with. MongoDB, Cassandra, Couchbase, Redis, and Amazon DynamoDB are all examples of popular NoSQL databases.

3. Object-Oriented Databases: Object-oriented databases are designed to work with object-oriented programming languages such as Java and Python. They store data in the form of objects, which can be easily manipulated and updated. b4o and Objectivity/DB are examples of object-oriented databases.

4. Graph Databases: Graph databases are designed to work with data that has complex relationships, such as social networks or recommendation engines. They organize data into nodes and edges, which represent entities and the relationships between them. Neo4j, OrientDB, and ArangoDB are examples of popular graph databases.

5. Time-Series Databases: Time-series databases are designed to handle data that changes over time, such as stock prices or sensor readings. They are optimized for fast and efficient storage and retrieval of time-stamped data. InfluxDB, TimescaleDB, and OpenTSDB are examples of popular time-series databases.

6. Document Databases: Document databases are designed to store and manage unstructured data such as text, images, and multimedia. They are often used in content management systems and other applications that deal with large amounts of unstructured data. MongoDB, Couchbase, and Amazon DocumentDB are examples of popular document databases.

Selections of types of database dependes upon factors like the volume of data ,nature and kind of data , budget, expertise

There are many career opportunities available for developers who have experience in database development, including roles as database administrators, data analysts, and software engineers. With the right skills and experience, developers can also become consultants or start their own database development companies.

Artificial intelligence and machine learning development

AI and ML, This is also one revolutionary type of development evolving at rapid speed.

before understanding this let us first understand the difference between data science , AI and ML because many people i have seen they are confused with this term.

so we have seen Data science involves the use of statistical and computational methods to . Data Science involves the entire lifecycle of data, from data collection and preprocessing to analysis and visualization . its mainly deal with analyzing data and deriving meaningful insights from it and later on companies use these insights to make decision.

one example is : By analyzing sensor data from machines, data scientists can identify patterns that indicate when a machine is likely to fail. This allows the maintenance team to perform maintenance before the machine breaks down, reducing downtime and improving efficiency.

Artificial intelligence : AI is about creation of intelligent machines that can think and act like humans. so you can think they can replace the human work. AI involves the development of algorithms and models that can learn from data, make decisions, and solve problems. here important things are creation of intelligent machines, learning from data. One example of AI in action is voice assistants like Siri or Alexa. These systems use natural language processing (NLP) to understand spoken commands and provide responses

Machine Learning : ML :s a subset of AI that involves the development of algorithms and models that can learn from data without being explicitly programmed. ML algorithms can identify patterns in data and use those patterns to make predictions or decisions.

one example here is image recognition software. the ML algorithms behind Google Photos can recognize faces and objects in photos and group them together. This is possible because the system has been trained on a large dataset of images, allowing it to learn patterns and make predictions.

The future of AI and ML is undeniably bright. They have already revolutionized many industries, including healthcare, finance, and manufacturing. In healthcare, AI and ML are used to develop personalized treatment plans and to analyze medical data. In finance, AI and ML are used for fraud detection and to analyze market trends. In manufacturing, AI and ML are used to optimize production lines and to predict equipment failures.

The future of AI and ML is not just limited to these industries. They have the potential to revolutionize every aspect of our lives, including transportation, education, and entertainment. For example, self-driving cars are a reality today, thanks to AI and ML. In education, AI and ML can be used to develop personalized learning plans for students. In entertainment, AI and ML can be used to create more engaging and interactive experiences for users.

Lot many real life use cases exists for AI and ML.

To develop AI and ML systems, there are many technologies and programming languages available. Python is one of the most popular programming languages for ML. It has a large number of libraries and frameworks that make it easy to develop ML models. TensorFlow, PyTorch, and Scikit-learn are some of the popular ML frameworks for Python.

Apart from Python, there are other programming languages that are commonly used for AI and ML, such as

R,

Java, and

C++.

In conclusion, the future of AI and ML is exciting and full of possibilities. They have already transformed many industries and have the potential to revolutionize every aspect of our lives. With the advancements in technology and the availability of powerful programming languages and frameworks, the development of AI and ML systems has become easier and more accessible than ever before.