An Ultimate Resource To Learn Python Programming Easy Way In 2020 | Simpliv

For anyone serious about pursuing and growing in a career in IT, a basic question that roils the mind is this: which is the best programming language to learn? Most people who want answers to this question tend to get slightly confused, because they would have heard about multiple languages, such as JavaPythonPHP, etc. It is in selecting that one truly apt programming language to learn that the challenge lies.

Even learners who are fully aware of the benefits of most programming languages are in a fix about choosing the one language they should learn, and also about the best ways to learn a programming language.

It is very important for the students to make the right choice from the start as it will take a lot of time and effort to master any given programming language. While selecting any programming language to learn, students need to consider few aspects such as:

  • The difficulty level of a programming language you are willing to learn
  • The skills you already know that align with a programming language
  • Reasons you want to learn a programming language.

Every programming language has its advantages as well as disadvantages. A language that is perfectly suited for developing a certain types of applications  might not fit for developing other types.

So, keeping the debate aside of which programming language is good to learn among all, here in the following discussion we will focus towards understanding what is Python programming language and what are its benefits. At a later stage of this blog, we will discuss different reasons to learn Python.

In the upcoming discussion we will focus on the following topics:

  • What is Python?
  • Python 2 VS Python 3
  • History of Python
  • Features of Python
  • Reasons to learn Python in 2020
  • Advantages of Python
  • Applications of Python.

Initially, let us discuss what is Python

What is Python? This is one of the most asked questions  these days in the technology space. The answer is, Python is one of the powerful programming languages that is high-level, open-source, and most commonly used for web development, scientific and mathematical application development, etc.

One of the great advantages of this programming language is it provides excellent library support and has a large developer community. It also provides easy integration with web services and GUI-based desktop applications.

“Did You Know? Python is one of the 9 programming languages that influenced the design of JavaScript”.

Python is fast, easy-to-use and the most preferred programming language for developing projects by many companies such as YouTube, Instagram, Pinterest, and Quora, etc. Because of its excellent features, Python is considered an easy to learn programming language for beginners and is also sophisticated enough for experienced professionals to use.

Apart from web development and desktop app development, Python is extensively used in the Data Science field and is used for developing Machine Learning projects. Because of its huge popularity, many IT professionals are learning this programming language to build their career as a Python developer.

Python 2 v/s Python 3

Having understood what is Python, let us start exploring the different versions of Python, such as Python 2 and Python 3. Later we will look at the major differences between them.

Python 2: Python 2 has been the more popular version. This version released in the year 2000 and made the code development process very easy compared to its earlier versions. Python 2 is a more transparent and inclusive language development process than its earlier versions.

Python 2 has implemented technical details of Python Enhancement Proposal (PEP). Python 2.7 or Python 2.7.20 is the last version of Python 2 and is no longer under development and in the year 2020, it will be discontinued.

Different versions of Python and their release dates are as follows:

  • Python 2.0 – October 16, 2000
  • Python 2.1 – April 17, 2001
  • Python 2.2 – December 21, 2001
  • Python 2.3 – July 29, 2003
  • Python 2.4 – November 30, 2004
  • Python 2.5 – November 19, 2006
  • Python 2.6 – October 1, 2008
  • Python 2.7 – July 3, 2010

       Image source: Guru99

Python 3: Python 3 is an improved version. It was released in the year December 2008. This  version was released with the aim of fixing the errors that existed in Python 2. Many companies are switching towards Python 3 version. This version provides huge library support.

Different versions of Python 3 and release dates are as follows:

  • Python 3.0 – December 3, 2008
  • Python 3.1 – June 27, 2009
  • Python 3.2 – February 10, 2011
  • Python 3.3 – September 29, 2012
  • Python 3.4 – March 16, 2014
  • Python 3.5 – September 13, 2015
  • Python 3.6 –December 23, 2016
  • Python 3.7 – June 27, 2018
  • Python 3.8.1 – December 18, 2019.

Some of the key differences between Python 2 VS Python 3:6

The above description provides you some valuable information about the major differences between the Python 2 and Python 3 versions. Before you choose a particular version of Python to develop your project, it is recommended to be well aware of all the available packages you need or you want to use because both these versions have similar kinds of syntax but they are not entirely compatible.

Read here to continue in depth brief history of Python http://bit.ly/2SnXvbW

pythoninfographic

Simple DevOps Project – CI/CD With Git, Jenkins, Ansible, Docker And Kubernetes

Do you want build a CI/CD pipeline tools using various DevOps tools? then you are at right place.

Here you can see a CI/CD pipeline by using tools using Git, Jenkins, Ansible, Docker and Kubernetes. This give some light on how IT industry uses DevOps.

I have over 9+ year of experience in DevOps and have deep understanding in this domain. So, I will be teaching you in detail with step-by-step demonstration.

Who is this course for?

  • Anyone who wants to build CI/CD pipeline tools on Various DevOps tools
  • Anyone who wants to Enhance their skills in this domain

Basic knowledge

  • Windows computer or Mac
  • Basic knowledge about Software Development Processes
  • Basic knowledge about Git, Maven, Jenkins, Docker, Ansible & Kubernetes
  • A Desire to learn DevOps

What will you learn

  • You can learn to create a CI/CD pipeline to automate your DevOps flow through various DevOps Tools

Course Curriculum:

Introduction to CI/CD

CI/CD Using Git, Jenkins

CI/CD Pipeline using Git, Jenkins, Maven and Tomcat

CI/CD using Git, Jenkins, Maven and Docker

CI/CD pipeline using Git, Jenkins, Docker and Ansible

Integrating Kubernetes with CI/CD

More click here to contionue

Use Coupon Code 50% Off: SIMPLIV500

 

How to learn JavaScript quickly?

What is JavaScript?

How to learn JavaScript quickly1.jpg

JavaScript is an Object Oriented Programming language that is primarily used to create interactive web-based interfaces. Does that sound too technical? Well, let us understand a few examples:

  • When you hover your mouse over a button, the button lightens up indicating that it is clickable.
  • While browsing Facebook, when you click on the name of your friend, a chat window pops up.
  • When you search for a tutorial in Hackr.io website, you instantly get the search results.

In all of the above examples, you do some action (hovering, clicking, typing) and in return, something happens. This interactivity is exactly where JavaScript comes into the picture. JavaScript captures these actions/events and based on that it takes some action/trigger. It is JavaScript that provides you the interactivity in the frontend.

HTML provides the content, CSS provides the look and feel of this content, JavaScript provides interactivity over this content. Without JavaScript, the web experience would be quite boring.

Another place where JavaScript is widely used is in backend development using modern web frameworks like NodeJS. In fact, there is a popular web stack called as MEAN stack which comprises for MongoDB, ExpressJS, AngularJS, and NodeJS.

Every web application has 2 parts – the backend part, which is the server side logic and the frontend part, which is what the clients will see in the browser. Common backend programming languages are PHP, Java (don’t confuse Java with JavaScript), Python, etc. The issue in using these programming languages is that the organization has to hire backend developers who are skilled in one of these programming languages and frontend developers who are skilled in JavaScript.

NodeJS is an end-to-end JavaScript-based web framework which has recently gained popularity owing to the fact that now organizations can hire JavaScript developers who can work on both front-end as well as on the backend. This makes hiring a lot easier and also since the same developer knows both frontend and backend, it becomes easier to manage the code base.

Side note: JavaScript has nothing to do with Java. Though the names are similar, both languages are completely unrelated. “Java” is as similar to “JavaScript” as “car” is to “carpet”.

Why learn JavaScript?

JavaScript in the recent past has become highly popular among the developer community. Many large and small organizations are using JavaScript as their primary programming language for both backend and frontend. There has been a significant increase in the number of job postings in JavaScript. Take a look at the chart below that talks about the number of job postings in JavaScript as compared to other programming languages.

Numner-of-Job-postings-comparison

Clearly, JavaScript has developed its position among the top programming languages and in fact, it is growing rapidly.

JavaScript developer salaries have also been rising sharply, particularly in areas where the startups are developing. Many startups these days are moving to the MEAN stack and so, the demand is only going to increase further.

All of these factors make JavaScript an excellent choice for those who want to develop a career as a Software Engineer.

How to learn JavaScript fast?

One of the best ways to learn JavaScript quickly is to actually do a JavaScript-based project. Here are some of the interesting project ideas on JavaScript:

  • A simple Calculator with operations like addition, subtraction, multiplication, division, etc.
  • e-Commerce billing calculator.
  • A bill splitting system that helps in dividing the bills between friends.
  • A basic quiz game.
  • A simple search box powered by JavaScript.
  • Form validator that makes sure that no incorrect input is provided in the form.
  • JavaScript powered comment box on a blog.
  • EchoBot – a bot that echoes back what you just typed to it.
  • A simple todo list application that helps you manage your tasks.
  • Tic-tac-toe game using JavaScript, HTML, and CSS.
  • Photo gallery.
  • Your own interactive home page.
  • A simple document statistics generator using JavaScript – you could show statistics like word count, alphabet count, word frequency, paragraph count, etc.
  • JavaScript-based alarm clock/timer.
  • JavaScript-based die – which can generate numbers from 1 to 6.

Steps to complete a JavaScript-based project will be as follows:

  • Pick up a project idea from the ones mentioned above.
  • Design an easy-to-use User Interface on a sheet of paper.
  • Plan a logic of the project (for instance, how will e-Commerce billing formula work?) and write it down on a sheet of paper.
  • Write pseudocode so as to develop a basic framework. In this pseudo code, you should take a note of the functions that you will be writing and their parameters and the output value. This will essentially bring you a step closer to the final code.
  • Finally, start coding in JavaScript. For anything that you struggle, just search on Google how that works. For instance, for the billing calculator, you may have to iterate over the list of items in the bill which may require a for loop. Just search on Google a simple example of how a for loop works in JavaScript and you will quickly be able to get a working code ready.

You can repeat this above-suggested approach for multiple projects and eventually you will be quite familiar with JavaScript syntax and its usage. You can then move on to advanced JavaScript projects.

Another approach to learning JavaScript quickly is to follow a well-known JavaScript based tutorial. You can find an awesome list of JavaScript tutorials on Simpliv. In most of these tutorials, you will be working on an actual JavaScript project and so, it will help you understand it better. This second approach is more useful for those who are relatively new to programming. Following a step-by-step tutorial is quite advantageous if you are new to programming and want to understand not only the programming language but also the basics concepts of programming.

The key to learning JavaScript quickly is to write a lot of JavaScript-based code in the form of short working projects. This will help you not only get familiar with the syntax of the programming language but also understand where it can be used effectively and where it should not be used.

Resources for the Two Study:

Javascript Testing Selenium Automation Nightwatch js Nodejs

The Foundations of HTML, CSS & Javascript

Computer Programming for Beginners

Javascript: Crash Course

Javascript Specialist

Aprende a programar usando JavaScript – Curso en español

The Complete JavaScript series with jQuery and Angular JS

Beginner’s Introduction to Meteor JS

JavaScript course – Learn core concepts of JavaScript

Learn Modern JavaScript: Getting Started

Angular 6 and 7, Apollo, GraphQL and Graphcool – Complete Guide

Ethereum : Master Web3js Library

Aprende a programar desde cero – Lógica de Programación

Top Steps to Learning Python the Right Way

Python is an important programming language that any developer should know. Many programmers use this language to build websites, create learning algorithms, and perform other important tasks. Learn Python in just five steps when you take advantage of the program offered through Dataquest.

One of the things that I found most frustrating when I was learning Python was how generic all the learning resources were. I wanted to learn how to make websites using Python, but it seemed like every learning resource wanted me to spend 2 long, boring, months on Python syntax before I could even think about doing what interested me.

This mismatch made learning Python quite intimidating for me. I put it off for months. I got a couple of lessons into the Simpliv tutorials, then stopped. I looked at Python code, but it was foreign and confusing:

from django.http import HttpResponse
def index(request):
return HttpResponse("Hello, world. You're at the polls index.")

The above code is from the tutorial for Django, a popular Python website development framework. Experienced programmers will often throw snippets like the above at you. “It’s easy!”, they’ll promise. But even a few seemingly simple lines of code can be incredibly confusing. For instance, why are some lines indented? What’s django.http? Why are some things in parentheses? Understanding how everything fits together when you don’t know much Python can be very hard.

The problem is that you need to understand the building blocks of the Python language to build anything interesting. The above code snippet creates a view, which is one of the key building blocks of a website using the popular MVC architecture. If you don’t know how to write the code to create a view, it isn’t really possible to make a dynamic website.

Most tutorials assume that you need to learn all of Python syntax before you can start doing anything interesting. This is what leads to months spent just on syntax, when what you really want to be doing is analyzing data, or building a website, or creating an autonomous drone. This is what leads to your motivation ebbing away, and to you just calling the whole thing off. I like to think of this as the “cliff of boring”. You need to be able to climb the “cliff of boring” to make it to the “land of interesting stuff you work on” (better name pending).

After facing the “cliff of boring” a few times and walking away, I found a process that worked better for me. What worked was blending learning the basics with building interesting things. I spent as little time as possible learning the basics, then immediately dove into creating things that interested me. In this blog post, I’ll walk you through step by step how to replicate this process, regardless of why you want to learn Python.

1. Figure Out What Motivates You to Learn Python

Before you start diving into learning Python online, it’s worth asking yourself why you want to learn it. This is because it’s going to be a long and sometimes painful journey. Without enough motivation, you probably won’t make it through. For example, I slept through high school and college programming classes when I had to memorize syntax and I wasn’t motivated. On the other hand, when I needed to use Python to build a website to automatically score essays, I stayed up nights to finish it.

Figuring out what motivates you will help you figure out an end goal, and a path that gets you there without boredom. You don’t have to figure out an exact project, just a general area you’re interested in as you prepare to learn Python.

Pick an area you’re interested in, such as:

  • Data science / Machine learning
  • Mobile apps
  • Websites
  • Games
  • Hardware / Sensors / Robots
  • Scripts to automate your work

Yes, you can make robots using Python! From the Raspberry Pi Cookbook.

Figure out one or two areas that interest you, and you’re willing to stick with. You’ll be gearing your learning towards them, and eventually will be building projects in them.

2. Learn the Basic Syntax

Unfortunately, this step can’t be skipped. You have to learn the very basics of Python syntax before you dive deeper into your chosen area. You want to spend the minimum amount of time on this, as it isn’t very motivating. I personally made it about 30% into the Codecademy Python tutorials, which was enough.

Here are some good resources to help you learn the basics:

  • Simpliv — does a good job of teaching basic syntax, and builds on itself well.
  • Learn Python the Hard Way — a book that teaches Python concepts from the basics to more in-depth programs.
  • Dataquest – Python Programming: Beginner Course — I started Dataquest to make learning Python and data science easier. Dataquest teaches Python syntax in the context of learning data science. For example, you’ll learn about for loops while analyzing weather data.
  • The Python Tutorial — the tutorial on the main Python site.

I can’t emphasize enough that you should only spend the minimum amount of time possible on basic syntax. The quicker you can get to working on projects, the faster you will learn. You can always refer back to the syntax when you get stuck later. You should ideally only spend a couple of weeks on this phase, and definitely no more than a month.

3. Make Structured Projects

Once you’ve learned the basic syntax, it’s possible to start making projects on your own. Projects are a great way to learn, because they let you apply your knowledge. Unless you apply your knowledge, it will be hard to retain it. Projects will push your capabilities, help you learn new things, and help you build a portfolio to show to potential employers.

However, very free form projects at this point will be painful — you’ll get stuck a lot, and need to refer to documentation. Because of this, it’s usually better to make more structured projects until you feel comfortable enough to make projects completely on your own. Many learning resources offer structured projects, and these projects let you build interesting things in the areas you care about while still preventing you from getting stuck.

Let’s look at some good resources for structured projects in each area:

Data science / Machine learning

  • Dataquest — Teaches you Python and data science interactively. You analyze a series of interesting datasets ranging from CIA documents to NBA player stats. You eventually build complex algorithms, including neural networks and decision trees.
  • Python for Data Analysis — written by the author of a major Python data analysis library, it’s a good introduction to analyzing data in Python.
  • Scikit-learn documentation — Scikit-learn is the main Python machine learning library. It has some great documentation and tutorials.
  • CS109 — this is a Harvard class that teaches Python for data science. They have some of their projects and other materials online.

Mobile Apps

  • Kivy guide — Kivy is a tool that lets you make mobile apps with Python. They have a guide on how to get started.

Websites

  • Flask tutorial — Flask is a popular web framework for Python. This is the introductory tutorial.
  • Bottle tutorial — Bottle is another web framework for Python. This is how to get started with it.
  • How To Tango With Django — A guide to using Django, a complex Python web framework.

Games

An example of a game you can make with Pygame. This is Barbie Seahorse Adventures 1.0, by Phil Hassey.

Hardware / Sensors / Robots

Scripts to Automate Your Work

Once you’ve done a few structured projects in your own area, you should be able to move into working on your own projects. But, before you do, it’s important to spend some time learning how to solve problems.

4. Work on Projects on Your Own

Once you’ve completed some structured projects, it’s time to work on projects on your own to continue to learn Python better. You’ll still be consulting resources and learning concepts, but you’ll be working on what you want to work on. Before you dive into working on your own projects, you should feel comfortable debugging errors and problems with your programs. Here are some resources you should be familiar with:

  • StackOverflow — a community question and answer site where people discuss programming issues. You can find Python-specific questions here.
  • Google — the most commonly used tool of every experienced programmer. Very useful when trying to resolve errors. Here’s an example.
  • Python documentation — a good place to find reference material on Python.

Once you have a solid handle on debugging issues, you can start working on your own projects. You should work on things that interest you. For example, I worked on tools to trade stocks automatically very soon after I learned programming.

Here are some tips for finding interesting projects:

  • Extend the projects you were working on previously, and add more functionality.
  • Go to Python meetups in your area, and find people who are working on interesting projects.
  • Find open source packages to contribute to.
  • See if any local nonprofits are looking for volunteer developers.
  • Find projects other people have made, and see if you can extend or adapt them. Github is a good place to find these.
  • Browse through other people’s blog posts to find interesting project ideas.
  • Think of tools that would make your every day life easier, and build them.

Remember to start very small. It’s often useful to start with things that are very simple so you can gain confidence. It’s better to start a small project that you finish that a huge project that never gets done. At Dataquest, we have guided projects that give you small data science related tasks that you can build on.

It’s also useful to find other people to work with for more motivation.

If you really can’t think of any good project ideas, here are some in each area we’ve discussed:

Data Science / Machine Learning

  • A map that visualizes election polling by state.
  • An algorithm that predicts the weather where you live.
  • A tool that predicts the stock market.
  • An algorithm that automatically summarizes news articles.

You could make a more interactive version of this map. From RealClearPolitics.

Mobile Apps

  • An app to track how far you walk every day.
  • An app that sends you weather notifications.
  • A realtime location-based chat.

Websites

  • A site that helps you plan your weekly meals.
  • A site that allows users to review video games.
  • A notetaking platform.

Games

  • A location-based mobile game, where you capture territory.
  • A game where you program to solve puzzles.

Hardware / Sensors / Robots

  • Sensors that monitor your home temperature and let you monitor your house remotely.
  • A smarter alarm clock.
  • A self-driving robot that detects obstacles.

Scripts to automate your work

  • A script to automate data entry.
  • A tool to scrape data from the web.

My first project on my own was adapting my automated essay scoring algorithm from R to Python. It didn’t end up looking pretty, but it gave me a sense of accomplishment, and started me on the road to building my skills.

The key is to pick something and do it. If you get too hung up on picking the perfect project, there’s a risk that you’ll never make one.

5. Keep working on harder projects

Keep increasing the difficulty and scope of your projects. If you’re completely comfortable with what you’re building, it means it’s time to try something harder.

Here are some ideas for when that time comes:

  • Try teaching a novice how to build a project you made.
  • Can you scale up your tool? Can it work with more data, or can it handle more traffic?
  • Can you make your program run faster?
  • Can you make your tool useful for more people?
  • How would you commercialize what you’ve made?

Going forward

At the end of the day, Python is evolving all the time. There are only a few people who can legitimately claim to completely understand the language, and they created it.

You’ll need to be constantly learning and working on projects. If you do this right, you’ll find yourself looking back on your code from 6 months ago and thinking about how terrible it is. If you get to this point, you’re on the right track. Working only on things that interest you means that you’ll never get burned out or bored.

Python is a really fun and rewarding language to learn, and I think anyone can get to a high level of proficiency in it if they find the right motivation.

I hope this guide has been useful on your journey. If you have any other resources to suggest, please let us know!

Find out more about how you can learn Python and add this skill to your portfolio by visiting Dataquest.

Have Another Resource You Recommend?

Last month I shared seven reasons from my personal experience why you should learn the Python programming language. My goal here today was to help provide a list of resources that you can use on your own Python programming journey.

Do you have personal experience with any of the resources I listed above?

Did I miss a book or course that you recommend?

Be sure to leave a comment in the form below and let us know!

Creating a Responsive Web Design

This course was designed to teach you to create a web page that can adapt it’s layout to fit on any screen size, as well as on paper when printed.

WordPress, Magento, Joomla & Drupal Websites Design and Development Course 2018

Web design requires the coordination of HTML, CSS, and graphics in order to construct a layout and design that can respond to the varying needs of your websites visitors.

In this step-by-step course, we’ll cover every aspect of converting a design into a fully functioning web page. We’ll create navigation menus, style typography, format and position graphics, create CSS animations, import free web fonts from Google, as well adjust our layout to fit a wide range of screens and devices.

And for those new to HTML, CSS, or web graphics, we have a few lessons explaining the core fundamentals of each, so you’ll be able to work through the course without missing a beat.

Who is the target audience?

  • Graphic Designers
  • Web Designers
  • UX Designers
  • Front-End Web Developers
  • Developers (looking to enhance their design sensitivities)
  • Content Editors (responsible for HTML and CSS)
Basic knowledge
  • Patience : )
  • A text editor
  • HTML5-enabled web browser
  • Web-enabled phone or tablet (optional)
  • Printer (optional)
What you will learn
  • Strategize the HTML needed for a web design
  • Create CSS rules to target specific HTML elements
  • Work with web graphics (in HTML and CSS)
  • Transform user experiences with CSS
  • Adapt layouts for varying screen sizes
  • Optimize a web page’s printing capabilities

Click Here to continue:

Web Design Introduction

Top Internet of Things {IOT} Interview Questions and Answers

The IoT is being touted as the next wave of technological change that is going to impact mankind on a scale and of a magnitude that we have yet to decipher. It has tremendous potential to transform lives and entire industries across the globe. Its impact is likely to be felt in not just technology, but in very many areas of our life, such as crime, transportation, urban planning, health, manufacturing and many, many others.

QA_Internet-of-Things

It is no wonder that the global IoT market is expected to reach almost half a trillion dollars in 2020. It is expected to be just the start of explosive growth, if the CAGR at which it is going-28.5%-is any indication. There seems just no limits to the ways in which this technology can grow and make an impact. There is no better time to be in IoT than now!

1st Round: Internet of Things{IOT} Basic interview questions and answers:

Q1.What is IoT?

Ans:IoT is the short form for Internet of Things. It can be understood as a network in which the devices that part of it can communicate with each other through the Internet. The way by which this system works is by enabling all the devices with IP protocols.

Q2.What do you understand by a “Thing” in the IoT?

Ans:The “thing” referred to in the IoT is any object into which a computing device can be embedded or connected.

Q 3.What components go into IoT?

Ans: The main components of IoT are the hardware, software and conversation infrastructure. While the hardware and the software aspects are well-known, the Conversation Infrastructure is the soul of the IoT, which gives devices and gadgets the ability to communicate to each other.

Q4.What factors are facilitating the explosion of the IoT at this time?

Ans:Development of IP-enabled devices, the boom in worldwide broadband availability and the appearance of ipv6 are some of the factors for this rise.

Q5.How does business IoT differ from the IoT?

Ans:Internet of Things: In this system, the connection is between devices and gadgets that are used by average consumers in their day-to-day life. Examples could be washing machines, refrigerators, electrical bulbs, etc. These devices are connected to the Internet and work according to the way they are programmed to and prompted to.

Industrial Internet of Things (IIoT): With IIoT, massive industrial items and systems are connected via the Internet to carry out functions without human intervention. The alarm systems in hospitals or the automatic shutting off of switches in industrial plants are examples of IIoT.

Q6.Suggest any relatable examples of the way in which IoT impacts our everyday lives

Ans:Since IoT’s primary aim is to connect devices and make them function intuitively according to the needs of the situation; they are used in a variety of devices that we use in our daily lives, which help us coordinate functions better. We no longer have to spend extra time to manually handle these devices, which means a lot of time saved.

Since connectivity with other devices is at the heart of the concept of IoT; IoT-enabled devices not only carry out their function in isolation, but also coordinate with others in the network to make work a lot more efficient than earlier devices could. For instance, while a standalone alarm clock can only wake you up, in an IoT ecosystem, based on your early morning traits, IoT could also heat the coffee decoction for you or put the geyser on.

Q7.What are the factors that you think will make the IoT more prevalent in the years to come?

Ans:The telecommunications sector is growing by leaps and bounds globally with almost no country remaining untouched by it

Simultaneously, the power of Internet computing has been growing by leaps and bounds

The cost of scaling up is relatively very small compared to the expansion of the sector and the reach it will have.

Q8.In what ways do you think IoT will influence urban lives in the years to come?

Ans:When devices in homes and industries can be connected to each other, there is no reason why urban facilitators such as buses, trains and cars and other vehicles cannot be connected using the Internet. Most other parts of urban infrastructure, such as waterways, sewage and many others can be connected and can make them a lot more efficient and smarter. Smart cities that will be connected via a grid to smoothen tasks are being seriously implemented in emerging economies such as India.

Q9.Which are the kinds of information that IoT objects communicate?

Ans:The IoT enables communication between a vast number and type of objects, be they simple or complex. These can vary from health parameters of the human body to cyclones.

Q10.What role does the network play within the IoT?

Ans:The network is the heart of the IoT. The responsibility of providing a smart and practical system that makes up a strong infrastructure that will have the scalability to help billions of devices coordinate with one another lies with the network.

Q11.Which do you think is the biggest challenge of the IoT?

Ans:It certainly has to be safety. The IoT is prone to security threats. This is a far bigger issue than infrastructure, which, as we have seen, is relatively easier to scale up on.

Q12.If devices and machines take over the work, what will be the fate of jobs? Will the introduction of the IoT make matters worse for jobseekers around the world?

Ans:Any new technology brings in its own shifts and convulsions in the job market. IoT is set to bring in enormous changes into many spheres of life and to industry over the next couple of decades. It remains to be seen how organizations and governments can cope with the challenges.

Q13.What impact will IoT have on sustaining the environment or on business?

Ans:IoT is known to have a role in reducing carbon emissions by manufacturing units. It means making more energy available for more useful purpose such as lighting, on which there is expected to be enormous savings.

Q14.How will the IoT impact monetary growth?

Ans:Being global and extensive in nature and in its reach; the IoT is expected to be a gigantic global industry over the coming years. Estimates of its potential, expected size can vary largely, but one thing that is certain is that it will be a multitrillion dollar industry.

Q15.Assess the impact of the IoT on businesses

Ans:Almost no sector is likely to be outside the ambit of the IoT. Obviously, any tool or development that hastens and accelerates the movement of goods into the market by strengthening all the nodal points is a boon for businesses.

Q16.What importance does cybersecurity have for IoT?

Ans: Cybersecurity is a matter of serious concern wherever the Net is involved. So, with its heavy reliance on the Internet, the IoT is sure to make cybersecurity a very crucial area of its work. Corporations and governments will have to be on their toes in anticipating and preventing cyberattacks on the IoT. This calls for a very strongly coordinated, robust response from all the players involved because a disruption in any link in the chain can throw the whole ecosystem out of gear.

Q17.Assess the impact the IoT will have on the healthcare sector

Ans: The IoT is extremely well-suited for the healthcare sector. With its ability to coordinate large volumes of data seamlessly and across devices; the IoT can be a great facilitator for the healthcare industry. At a micro level, it will help to generate a lot of data from the health-conscious user, such as pulse, blood pressure, calorie count, etc. from individual users. At the macro level, it will make telemedicine a lot more efficient by being able to coordinate data across devices in far-flung locations.

Q18.What impact do you think the IoT have on the transport sector?

Ans: The higher connectivity that the IoT will engender will make it highly suitable for a sector such as transportation. New models of vehicles are now being fitted with technologies such as global positioning structures (GPS) and advanced driver help structures (ADAS), which use sensors inside the vehicle to help in a number of vital functions that make driving safer and simpler. All this is enabled by the IoT.

Q19.What could be the social and cultural impact of the IoT?

Ans:It is true that the IoT could facilitate interaction. But this needs to be taken with a pinch of salt, because what kind of communication it could promote will be the big question. Will it be another tool like the social media, about whose social and cultural impact many people have reservations? Or, is the IoT going to bring about more interaction between people in the way it is doing between devices?

Others are going to the extent of suggesting that the IoT could be a medium that can combine with other related technologies such as Big Data and blockchain could completely drive black money and other crimes out. With its ability to track every and any device, it could deter serious crimes such as murder, kidnapping, etc. This sounds a little farfetched at this stage, but the day is not far off when IoT could change the world in a drastic number of ways.

Q20.Is there a connection between the IoT and sensors in a commercial enterprise?

Ans:Sensors may be used in devices that are not net-connected, while devices need to be connected to the Net with IoT. Yet, sensing is a part of IoT, even if the device is not connected to the Net.

Q21.Will the IoT work by overriding the Internet or will it have its own dedicated wide area network?

Ans: At this stage, it is difficult to predict. Whether the world needs to give a separate and dedicated wide area network to the IoT or allow it to work with the present Internet ecosystems depends on how the industry shapes up in the years to come.

Q22.What do you understand by the Internet of Everything and what are the elements that go into it?

Ans: The Internet of Everything (IoE) can be understood as an extension of the IoT. While the IoT connects devices with one another, IoE aims at connecting devices with people and help them take smart decisions by coordinating with them. These are some of the elements that go into IoE:

Human beings: The IoE facilitates higher and smoother coordination between humans and devices such as social networks, computers, healthcare gadgets, teaching aids, etc.

Procedure: This aspect of the IoE seeks to automate processes that go into most things managed by humans, ranging from handheld devices to large industrial manufacturing processes.

Things: This is the set of devices or things used by humans that connect to the Net and help share information. sensors, actuators, certain types of medical devices or meters can be examples of things in IoE.

Information: Obviously, this is at the center of the IoE, as much as it is in the IoT. Algorithms function smartly to help make sense of the huge loads of data that devices and other things generate.

Q23.What is Bluetooth Low Energy (BLE) Protocol for an IoT?

Ans: Also known as Bluetooth smart, this protocol was originally introduced by Nokia as Wibree in 2006. It has the same range coverage, but with a significantly decreased strength intake, which is made possible by the Bluetooth. Its bandwidth with narrow spacing is comparable to the one utilized by Zigbee. Its low electricity latency and simplicity make makes it suitable for being introduced into low-cost microcontrollers.

2nd Round: Internet of Things{IOT} Technical Interview Questions and answers:

Q1.What is Bluegiga APX4 protocol for the IoT?

Ans:In being able to support both the Wi-Fi and BLE platform and being based on the 450MHz ARM9 processor, the Bluegiga APX4 is hailed as a solid solution.

Q2. What is the difference between IIOT and IOT?

Ans: IIOT:

  1. Expands to Industrial Internet of Things
  2. Works at a macro, industrial level and helps to coordinate information between heavy machines.
  3. It is used in sectors such as aerospace.

IOT:

  1. Stands for Internet of Things
  2. IoT coordinates information between devices at the micro level, such as between smartphones and electrical devices such as lighting and geysers.

HR Round:

  1. Explain your understanding of IoT
  2. In what ways do you think IoT will change the world around us?
  3. Explain the highlights of some of the IoT projects you have worked on
  4. Where do you see yourself over the next five years?
  5. What value do you think your experience can help you offer this organization?

Conclusion:

IoT is a very huge topic. It is no exaggeration to state that it is one of the technologies-the others being AI, Big Data, data science, blockchain and a few others-that could change the course of human destiny. When making a career in such an earth-shaking area such as IoT, you can rest assured that the prospects are extremely bright.

But these prospects come with challenges. We have designed this questionnaire to help you understand some of the common pitfalls associated with an interview involving IoT. We hope you find it valuable!

 

Self Hypnosis: Fulfill Your Goals, Dreams and Desires

“At last, an EFFORTLESS breakthrough system that eliminates your toxic thinking and ATTRACTS your Magical life…NOW”

The wait is over!

Now you can fulfill your dreams such as increased prosperity, vibrant health and loving relationships.

It’s guaranteed or your money back!!!

hypnosis

“I reviewed my statement/affirmation at the end of the year. I am reminded how much has manifested since I completed my personalized affirmations. I am in a loving relationship. We have purchased a home together. I am no longer working full time which has given me much freedom to pursue the things I want to do. I highly recommend working with Chris.”

Michelle

“This course is a great blend of spirituality, science, and practical experience. At its heart is the law of attraction…. Chris has enriched our experience of the law of attraction by bringing self-hypnosis into the mix. This practice allows us to create affirmations at a very deep level and manifest our desires much more easily. He gives us effective tools that we can use in our daily lives…..”

Sonja Kaleski

“Excellent course with the best exercise I have ever done to clarify my personal power affirmation. I am using Chris’s guided audio which for me has been like a very deep meditation. The instructor is very kind and thoughtful. He responds to questions almost immediately. Highly recommended.”

Susan Hara

Dear Friend,

Have you ever wondered why most of the self-improvement programs or books on the market or even on your bookshelf never work?

Have you noticed that there are some tools that might seem to work for a few people but not for you?

Have you watched the movies “What the Bleep Do We Know?”, “The Secret”, studied the “Law of Attraction”? Have you attended numerous seminars on self-help and positive thinking? Yet, have you been able to achieve permanent & radical transformation in your life?

The Self-Development field is a multi-billion dollar industry and bookshelves are loaded with self-help books. Then why is it that there are millions of people struggling with health problems, financial insecurity, unfulfilled relationships, etc?

Breakthrough your struggle!

hypnosis-memory-loss

Have you wondered why you have worked so hard to make your life work, and strive so hard to make more money to pay your bills, to make your relationships more harmonious, and to gain better health, but you just can’t make that breakthrough?

Is there always something missing?

You wonder why, but never find the answer!

Let me make something very clear for you right now:

Here is why…

The majority of popular books or programs on self-improvement only touch the surface of your challenges or frustrations, NOT the subconscious toxic beliefs that cause the problem to begin with!

For example, if you have financial problems, you will be advised to take the expensive wealth building seminars that teach you a bunch of money making strategies. BUT, the fact of the matter is that your financial problems are not solved by tools or techniques to make money, but by something deeper and more fundamental.

If you have relationship problems, people will advise you to go to relationship experts who can give you tons of tips and strategies to improve your relationship. BUT you will find that the fulfilling loving relationship that you have dreamed of is still out of your reach.

That’s because your relationship problems are only symptoms, not the fundamental causes.

Spread your wings and fly …. Effortlessly

When those fundamental issues are resolved, EVERYTHING CHANGES!

Your financial situation starts to change; you start attracting money and abundance into your life.

Things that you’ve always wanted start to show up in your life EFFORTLESSLY.

You start to feel true joy from your work.

You start to attract the right and fulfilling relationships.

You find yourself more energetic, passionate, and enthusiastic.

Life will seem so easy and effortless; everything will flow naturally.

If you wonder how you can align yourself to live an amazing life, you have come to the right place.

Make magic happen!

This program is the result of over 30 years studying mind science and consciousness-expanding practices. You will learn how to finally identify the dis-empowering subconscious beliefs that are running your current life by default and start designing your exciting life; the life you dream of having where anything is possible. Join me on this journey of exploration and manifestation by hitting the “green button” above to start learning now and I’ll see you in the course.

“Since i have been doing your course I feel a much happier person. My friends commented, that my eyes are shining and I seem like I am in love. I am constantly smiling, and feel fearless and totally positive and at ease with myself. Thank you very much Chris”

Uschi

“Thank you Chris for creating this course. I love your voice, the length of each lecture, and all the things I’ve learned so far…… I just did my first Yoga Nidra following your audio recording and I loved it!”

Bridgett Pope

hypnosis-powerful-mind-therapy

Who is the target audience?

This course is for you if you are aware that you have negative thinking and negative limiting beliefs and want to replace these beliefs with positive empowering thoughts and beliefs.

This course is for you if you would like to learn self hypnosis to change your limiting beliefs

Basic knowledge
  • There are no prerequisites for this course only an open mind and enthusiasm to learn
What you will learn
  • You will learn how to finally identify the dis-empowering subconscious beliefs that are running your current life by default and start designing your exciting life; the life you dream of having where anything is possible
  • Learn how to confidently use self-hypnosis to replace your limiting beliefs and thoughts with positive empowering beliefs and thoughts, thereby changing what you attract into your life. The self-hypnosis technique taught within this course can also be used as a meditation, allowing you to train your mind into a deep meditative state quickly and easily, reducing harmful stress and allowing you to feel more calm and relaxed
  • When you eliminate your toxic beliefs, EVERYTHING CHANGES!
  • Your financial situation will change; you will start attracting money and abundance into your life
  • Things that you’ve always wanted start to show up in your life EFFORTLESSLY
  • You start to attract the right and fulfilling relationships
  • You start to feel true joy from your work
  • Life will seem so easy and effortless; everything will flow naturally. If you wonder how you can align yourself to live an amazing life, you have come to the right place
  • Learn how self hypnosis like meditation will reduce harmful stress and retrain your brain

To Know More:

AWS Networking from Basics to Advanced: Learn practically in 5 hours

This course aims to build the complete understanding of Amazon Web Services (AWS) Networking from ground up where students will understand the networking core concepts by doing exercises on their own.

This course contains 2 sections. First section is about Understanding AWS Networking where I have explained starting from very basics the AWS VPC, VPC components and Private connectivity options in AWS . If you are already aware of AWS networking components, then you may want to skip this section and jump directly to hands on exercises section.

AWS certi

1. Understanding AWS Networking in depth

  • Physical on premises networking vs AWS VPC
  • Getting familiar with AWS VPC terminologies – VPC, Subnets, Route tables, Internet Gateway, Security Group, Network ACL
  • Understanding VPC CIDR
  • Understanding Subnets and Route Tables
  • Public Subnet vs Private Subnet
  • Understanding NAT (Network Address Translation) Concept
  • NAT Gateway and NAT instance
  • AWS Private Connectivity options
  • Understanding VPC Peering
  • VPC Endpoint and Privatelink for private connectivity to AWS Services
  • VPN connection
  • Direct Connect

2. AWS Networking Hands on exercises (Basics to Advance)

  • Create VPC with single public subnet, launch EC2 instance and connect over internet
  • Create VPC with Pubic and Private subnet, connect to EC2 instance in Private subnet via EC2 instance in Public subnet
  • Create NAT Gateway and allow EC2 instances in Private subnet to access internet through NAT Gateway
  • Create and use NAT EC2 instance instead of NAT Gateway
  • Create VPC Peering between VPCs across AWS regions and connect to EC2 instance over private IP by using VPC peering connection
  • Create VPC endpoint gateway for S3 and access S3 contents from EC2 instance in Private subnet without requiring internet connection
  • Create and use VPC Private Link to expose your Web service privately to application hosted in another VPC
  • Implement AWS region level failover using AWS Route53
  • Setup Site-To-Site VPN between AWS VPC and simulated on-premise network
  • Hosting website on S3 using custom domain name from GoDaddy
  • Path (URL) based routing using AWS Application Load Balancer

AWS

Basic knowledge
What you will learn
  • Networking in AWS – Basic to Advanced Networking concepts by doing hands on exercises
  • Whiteboard sessions to see how various networking components work together
  • Understand how to secure your infrastructure by using appropriate VPC components and firewalls
  • AWS Public and Private Network connectivity options and their implementation
  • In depth understanding of VPC, CIDR, Subnets, Route Tables, Security Groups, NACL, NAT Gateway, NAT Instance, VPC Peering, VPC Endpoint, VPC PrivateLink, VPN connection, Direct Connect, Route53 Failover

To Know More:

Cisco CCNA Wireless (640-722 IUWNE): The Complete Course

Welcome to Cisco’s CCNA Wireless course for the (640-722) IUWNE certification!

This course is over 12+ hours in length and will cover all the needed subjects to be successful in helping to prepare and pass the CCNA Wireless exam.

This course packs a punch! Not only will the student acquire the knowledge needed for Cisco’s certification exam; but what is learned herein will be transferable to the real world for a small and/or Enterprise environment.

Cisco new

Students will get an in-depth understanding of networking, using wireless routers along with switches and their various configurations and connections. Students will learn about different types of wireless topologies, wireless RF fundamentals, wireless standards and an introduction to wireless security.

This course will also prepare the student in Layer 2 technology and its various configurations, such as; VLAN’s, Inter-VLAN communication & Trunking.

Students will also acquire the basic understanding needed to secure their wireless networks using the following techniques and protocols; PSK. 802.1x, WPA/WPA2 with EAP-TLS, EAP-FAST, PEAP and LEAP.

Student will learn how to install the Cisco Unified Wireless Network (CUWN), how to setup the WLC management, manage stand-alone AP’s, and be able to troubleshoot, maintain wireless networks.

This is a full comprehensive course that will take you from A-Z in your quest to acquire the Cisco Wireless Certification!

Cisco CNNA

Who is the Target Audience?

  • The Cisco CCNA Wireless course is for students who want to pass the CCNA Wireless Certification and have already obtained the Cisco CCENT or CCNA exams. If you are working in the IT industry and want to learn about wireless networks this course will be a great foundation to start implementing wireless in your network.
  • This Cisco CCNA Wireless course could also be for individuals that have some networking background and simply want to learn about wireless networks, specially Cisco wireless networks.
Basic knowledge
  • Students taking this course should have a working understanding of basic networking.
  • Students need to have a positive mind-set, because this course has a lot of acronyms and terminology that students need to commit to memory.
  • Students need to know that they will need to visit this course several times before scheduling their CCNA Wireless (650-722) certification exam.
  • Students should know that the options to pause, fast-forward and rewind will be extremely useful in this course.
  • In order to be eligible to take Cisco’s CCNA Wireless (640-722) certification exam, the student must already have either the CCENT (or ICND1), or the CCNA (or a higher Cisco certification). Cisco will not allow anyone to take or schedule the CCNA Wireless (640-722) certification exam unless the student has shown that they have passed at least one of the certifications mentioned herein.

Cisco CNNA RS

What you will learn
  • Students will get an in-depth understanding of networking, using wireless routers along with switches and their various configurations and connections.
  • Students will learn about different types of wireless topologies, wireless RF fundamentals, wireless standards and an introduction to wireless security.
  • This course will also prepare the student in Layer 2 technology and its various configurations, such as; VLAN’s, Inter-VLAN communication & Trunking.
  • Students will also acquire the basic understanding needed to secure their wireless networks using the following techniques and protocols; PSK. 802.1x, WPA/WPA2 with EAP-TLS, EAP-FAST, PEAP and LEAP.
  • Students will learn how to install the Cisco Unified Wireless Network (CUWN), how to setup the WLC management, manage stand alone AP’s, and be able to troubleshoot, maintain wireless networks.

To Know More:

Hadoop & Data Science NLP (All in One Course)

The demand for Big Data Hadoop Developers, Architects, Data Scientists, Machine Learning Engineers is increasing day by day and one of the main reason is that companies are more keen these days to get more accurate predictions & forecasting result using data. They want to make sense of data and wants to provide 360 view of customers thereby providing better customer experience.

bigdata

This course is designed in such a way that you will get an understanding of best of both worlds i.e. both Hadoop as well as Data Science. You will not only be able to perform Hadoop related operations to gather data from the source directly but also they can perform Data Science specific tasks and build model on the data collected. Also, you will be able to do transformations using Hadoop Ecosystem tools. So in a nutshell, this course will help the students to learn both Hadoop and Data Science Natural Language Processing in one course. 

Companies like Google, Amazon, Facebook, Ebay, LinkedIn, Twitter, and Yahoo! are using Hadoop on a larger scale these days and more and more companies have already started adopting these digital technologies. If we talk about Text Analytics, there are several applications of Text Analytics (given below) and hence companies prefer to have both of these skillset in the professionals.

  • One of the application of text classification is a faster emergency response system can be developed by classifying panic conversation on social media
  • Another application is automating the classification of users into cohorts so that marketers can monitor and classify users based on how they are talking about products, services or brands online
  • Content or product tagging using categories as a way to improve browsing experience or to identify related content on the website. Platforms such as news agencies, directories, E-commerce, blogs, content curators, and likes can use automated technologies to classify and tag content and products

Companies these days are leaning towards candidates who are equipped with best of both worlds and this course will proved to be a very good starting point. This course covers complete pipeline of modern day ELT (Extract, Load and Transform) and Analytics as shown below:

Get data from Source –> Load data into Structured/Semi Structured/Unstructured form –> Perform Transformations –> Pre-process the Data further –> Build the Data Science Model –> Visualize the Results

Big data

Learn and get started with the popular Hadoop Ecosystem technologies as well one the most of the most hot topics in Data Science called Natural Language Processing. In this course you will :

  • Do Hadoop Installation using Hortonworks Sandbox. You will also get an opportunity to do some hands-on with Hadoop operations as well as Hadoop Management Service called Amabri on your computer
  • Perform HDFS operations to work with continuous stream of data
  • Install SSH and File Transfer related tools which helps in operational activities of Hadoop
  • Perform NIFI installation and develop complete workflow on Web UI to move the data from source to destination. Also, perform transformations on this data using NIFI processors
  • Spin up Apache Solr which allows full text search and also to receive text for performing Real Time Text Analysis
  • Engage Banana Dashboard to visualize Real Time Analytics on streaming data
  • Store the Real Time streaming JSON data in structured form using Hive Tables as well as in flat file format in HDFS
  • Visualize the data in the form of Charts, Histograms using Apache Zappelin
  • Learn the Building blocks of Natural Language Processing to develop Text Analytics Skills
  • Unleash the Machine Learning capabilities using Data Science Natural Language Processing and build a Machine Learning Model to classify Text Data

Who this course is for:

  • Anyone who wants to learn both Hadoop and Data Science from scratch
  • Developers, Programmers or Database Administrators who want to transition to Hadoop and Hadoop Ecosystem tools like HDFS, Hive, Solr, NIFI, Banana and also wants to explore Data Science
  • Aspiring Data Scientists, Data Analysts, Business Analysts who want to learn Natural Language Processing as an added arsenal as well as wants to learn Hadoop as well
  • Product , Program or Project Managers who wants to understand the complete architecture as well as understand how Hadoop and Data Science can be integrated together
  • Enterprise Architects, Solution Architects who wants to learn about Hadoop Ecosystem and related technologies to design Big Data related solutions
Basic knowledge
  • Basic Python Programming
  • A computer with at least 8 GB of RAM
What you will learn
  • You will be able to develop a real world an end to end application which will encompass both Hadoop as well as Natural Language Processing (Data Science)
  • Setup a Hadoop Cluster on your laptop free of cost and then connect to different hadoop services
  • Develop distributed applications based on Hadoop Framework, Different Hadoop pillars, HDFS Architecture, MapReduce and different types of Data in Hadoop
  • Visualize Hadoop ecosystem services as well as components like Memory usage, Cluster Load etc. in the form of dashboard on a Web Interface called Ambari
  • Design and Develop scalable, fault tolerant and flexible applications which can store and distribute large data sets across inexpensive servers
  • Develop scripts based on several commands in Hadoop to manage files and datasets
  • Understand the different building blocks of Apache NIFI helping in data movement, transformation etc. Also learn about NIFI Architecture and its various applications
  • Steps to Install Apache NIFI and making changes in configuration files to run it seamlessly
  • Develop a complete workflow application in NIFI which can take data from the streaming source, perform transformations on this data and then store it in Hadoop
  • Spin up Apache Solr as one of the service, configure it to receive streaming data from NIFI processor to perform real time analytics on this data
  • Understand the architecture and concepts related to Apache Solr as well as several of its features
  • Create a Banana Dashboard to visualize the real time analytics happening on live streaming data after getting an understanding of components and structure of Banana Dashboard
  • Visualize where does Hive fit in Hadoop Ecosystem, its Architecture as well as how exactly it works
  • Develop an understanding of how data can be stored in structured form in Apache Hive. In depth knowledge of several of its components
  • Develop and Visualize the data in the form of Graphs, Histograms, Pie Charts etc. using another Hadoop Ecosystem tool (notebook) called Apache Zappelin
  • Develop the concepts of Natural Language Processing and integrate them all to develop a working NLP application
  • Develop basic building blocks of Natural Language Processing and write associated python scripts
  • Build a machine learning model using Python for the application going to be built

To Know More: