Generally, when people meet someone they ask how is career, married, or do they bought a car or property or something like this.  But they never ask “ Are you happy? ” I reached out to this idea from a tweet where the guy tweets a famous quote by legendary Heath Ledger. I loved this idea and was fascinated.  But when I think about it for more seconds I also sort of ask myself, is it practical?  Imagine, meeting someone and asking if are you happy, it does sounds good but not a question to ask everyone when we meet.  So what is the best way to ask about someone that implies the idea of asking are you happy?  It may or can go like, what are you doing these days? And then continue asking about what is the progress or what is the idea behind that particular task or project. Also, there may not be always the case they reply with something. Sometimes people may be in the phase where they do not do anything.  In such case, here we can ask is everything all right? ...

  Is this right?  or What is right?    This question sticks on our mind more than anything. We often are stuck with the dilemma in the thought of if the thing I am doing is the right way or sometime even before starting, like which way to go. Everything is subtle in life. Most of the things on this journey are not binary. The things that goes well for other might not go great for you. I read articles or some piece of writing where author explains philosophical ideas to say how to live your life. Like, life is precious there is less time and you need to enjoy every bit of it. Some of us read time management articles too. The author tries to explain us so hard but it might not prick us in our heart like the writer is trying to. Cause we are not familiar or not aware of the background the author has faced or the background scenery he is plotting to get that ideas. We often fell left out of this. Also sometime it may feel us that "the daily show of writer trying to ...

 First of all, let's understand what is digital currency? Digital currency are currency with no physical attributes and are available only in digital form. So if we need to do transaction with them we use computers or electronic wallets which should be connected to internet or a particular network.  Types: Central bank Digital Currency : regulated by central bank of a country. It can somewhat replace or be an alternative to traditional fiat currency. China has e-CNY, a digital version of fiat currency. Virtual Currencies : unregulated digital currency that is controlled by developers or founding organization. An example of this is gaming token whose economics is defined and controlled by developers. Cryptocurrencies : They are digital currency that use cryptography to secure and verify transactions in a network. They may or may not be regulated depending on the law and policy of different countries. Benefits of Digital Currency : - They are very fast in transaction as they are...

You must have heard about the term Gradient Descent in your journey to Data Science. It is one of the most important and mandatory term to understand for Machine Learning and as well as Deep Learning.  Basically in simple terms, Gradient Descent is algorithm, an optimization algorithm which repeatedly changes the variables value to have the best solution. To understand more clearly let's take and example of linear regression. In linear regression we have to find m(slope) and b(intercept). There is a typical way to solve it mathematically by using Ordinary Least Square (OLS) method. But in Gradient Descent approach, we first assume some value of m and b and we iteratively change the value of m and b with the help of training data to get the right pair of m and b finally. Gradient Descent works on a function which is differentiable at any point and find it's minimum point. In linear regression, that function is Loss function and our aim to is to minimize it. So we use gradient de...

When we open a browser and type "www.example.com" it establishes the connection as you being in the browser as client and example.com's computer stored somewhere on the internet. When we say the internet connects everything, this is one example. Here, you as a client want to take service from the server example.com. How is the connection established? The connection is established with the help of HTTP protocol. Now let's dig inside HTTP. HTTP is a protocol for transferring Hypertext data from one computer to another on the World Wide Web basically the internet. Let's understand it more with the above example. When you go to example.com. First, the connection is established between a server and you as a client to communicate a socket is established for request and response. Your request to view the homepage is then taken as a request after connection establishment. And the server is designed in such a way that, what should we do when a particular request comes. He...

You must have hated something for some reason or without any reason. And there are most of time, the hates are without any reason. In this piece of writing, I am going to tell you never to hate anything or at least try not to.  When we hate someone or something we are blocking ourselves from exploring them/it. We may be blocking something that may be valuable for us. There is learning in every single step, no matter you succeed in that part or lost that. You learn many valuable things in the process. But hating blocks that.  Everything has something important aspect associated with it. For example, consider something that you love immensely and there are some people who hate that particular thing too. But you are one who loves it and is fortunate to endorse the beautiful aspect of that particular thing.  This is not written to make the world a lovely lovely place where there is only affection. There are some aspects too in our surroundings where we do not want to be part ...

Data Science is a very important job in today's age of data being the aspect that plays a vital role in most of the field whether it may be the medical field, business, agriculture, engineering, sports and the list go on and on. Python is one of the programming language, which is used for data science and machine learning. It consists of many libraries and a very good community built within the past couple of decades. And it also has the upper hand among other languages as this same language can be used to build the system. While I talk about libraries in Python for Data Science(DS), the first library that come into thought is "NumPy", NumPy (abbreviation for Numerical Python) is the library built with the purpose of scientific calculation in numerical data. It is best for storing the numerical values in an array as a NumPy array that may be single or multi-dimensional (also called Tensors). "Okay, then why not List?"  T...