How to improve your tech skills during college

Listen out! It doesn’t matter whatever stream you’re studying! If you’re interested then it can change your career!

Need for technical skills:

Everyone has an account on social media. Everyone knows about Google and Amazon. At least everyone has a WhatsApp account. We use technologies daily but we’re not interested in how it is built. Nowadays computers and smartphones are the most important source in every industry.

Tech skill
It’s never to late to start!

 So, it gives good opportunity to people who are good at it. Even if it is a small business, its growth depends on its digital marketing, website exposure, database management, new implementation in the latest technologies, and so on. There are so many factors for you to start learning.

Why during college?

If you ever feel like not learned anything useful at college, then start your self-learning journey. It’s the right time to reach your goals. Don’t feel down for your grades, only your skills are going to take you up. Even you’re from different stream technical skills in Web development, Android app development, Artificial intelligence can change your career. 

Tech skill
Get your gang to learn!

 Everything is important during college studies, friends, fest, events, entertainment but skill is something only you can develop for yourself. Don’t get too much diverted!

Where to start?

Just try out everything, but only one at a time. This is can help you to find the domain you’re interested in. Then start developing that skill and become an expert in it. Some tips to learn:

1.If you don’t know where to start. Then start coding! There are emerging programming languages like Python, Java, JavaScript, etc.

2.Do online courses and start earning skills along with certificates! Because, Why not?   

3.Start watching the free tutorial on Youtube.

4.Practise what you learn.

5.Try internships based on your skills.

Demanding technical skill in 2021:

  • Machine learning
  • Deep learning
  • Artificial intelligence
  • Python/Django development
  • Web development
Tech skills
Discover new things!
  • Android app development
  • Cloud computing
  • Salesforce
  • Product management

What’s the benefit?

Learning can never disappoint you. Who knows? You can become a Freelancer, an Entrepreneur, a YouTube teacher, a software engineer, a data analyst and so more. Also, there are so many high-paying jobs for these technical skills all around the world. Everyone knows the software world is changing the world daily. So, for sure your technical skills are going give you a hand till the end. 

Happy Learning!

Will Enterprise Application Platforms be dominated by Cloud Computing?

Cloud computing has recently gotten a lot of press, and it’s being hailed as the way of the future for enterprise applications and database administration. We rely on remote servers for database storage when using cloud-based database services, so we don’t have to worry about maintaining any on-premises infrastructure.

Thanks to the cloud’s initiatives to promote mobile access to data and applications, people can now access data and applications on the go. Cloud computing today makes it possible to keep everyone in the loop, no matter where they are or when they are doing so. It makes no difference where our employees and workforce are because of the cloud. It is still possible for everyone to remain connected.

In 2021, cloud computing, which supported the global economy, global supply chains, and distant workforces throughout the coronavirus pandemic, will remain a critical target for businesses seeking enhanced scalability, business continuity, and cost effectiveness.“The ramifications of COVID-19 will persist far into 2021, as businesses seek to establish the groundwork for more agility,” said Dustin Milberg, field chief technology officer for cloud services at InterVision, a Santa Clara, Calif.-based IT service provider and AWS Premier Consulting Partner. “Because of the benefits of greater accessibility, scalability, and flexibility, cloud will be a primary focus in this goal.”

Future of Cloud

No one can forecast the future, but we can make educated guesses based on present trends and usage. Here are some cloud computing predictions:

Data is being generated in large quantities today, making secure storage problematic. The majority of businesses demand a secure storage location for their data.

The internet’s quality can be improved with the help of the Internet of Things. We can save data in the cloud with the use of IoT and Cloud Computing for further analysis and improved performance.

The internet of things is also a prominent technology since it combines real-time data analytics and cloud computing. Machine-to-machine communication, data, and processes are all commonplace. With the use of cloud computing, we can do it quickly.

Although the data saved in the cloud is secure, it is not completely secure. Small businesses that supply cloud services may or may not provide adequate data protection.As a result, we can better protect ourselves against cyber-attacks in the future. Cloud providers offer stronger security measures, allowing for a more balanced approach to preventing cyber-attacks.

Role of cloud computing in enterprise application

Apps that are ready for the cloud can be simply migrated to cloud platforms with little effort. However, when it comes to deployment and maintenance, these types of apps can be costly. Even while idle, cloud-ready applications demand more resources than standard applications. So, while optimizing these may be difficult at first, if we achieve our aim, we will see a higher return on investment. Cloud-optimized applications, on the other hand, are far more adaptable and cost-effective. Instead of focusing on platform-as-a-service, or PaaS, this collection of applications may take a different approach. In comparison to cloud-only apps, cloud-optimized apps are more scalable and easier to administer. As a result, many businesses are now concentrating on designing customized cloud-optimized applications.

To stay ahead of the cloud marketing pack, your corporate solutions must be compliant in order to handle the increased data volumes. There’s also hybrid cloud infrastructure, which combines public and private cloud services. This is a preferable option for individuals who do not want to entirely migrate to the cloud but still want their resources managed by the business. Virtual machines can be imported from VMWare and Microsoft Hyper-V, among other systems, to cloud platforms.

Cloud storage providers have increased their market share in both the private and public sectors in recent years. It makes perfect sense for different providers to offer a variety of options for businesses of varied sizes to pick from. As a third-party service, the providers are likely to have a variety of new cloud-based management alternatives for their clients. Other options include establishing a private cloud on existing infrastructure or using open-source technologies.

When we use cloud computing, we expect to strengthen collaboration and see improvements across the board.Team members can use a cloud-based platform to access, share, and update information, increasing efficiency. This one data point ensures that everyone is on the same page, reducing human error and ultimately boosting company quality.Cloud infrastructure enables IT and other workers to give a better customer experience, increased compliance, and, of course, improved data security.

In the end, cloud technology will be the primary platform for securing modern-day company data. Cloud-based services will also become the norm in the future for individuals to communicate more effectively. When we consider the future of cloud computing, we may expect more collaboration and progress in all areas of company thanks to cloud services.

What Kind of Introvert Are You?

Are you an introvert? It depends on which book you read. Here’s a sampling of the various conceptualizations of introversion in pop culture [1]: Preference for quiet, minimally stimulating environments: Quiet by Susan Cain Preference for concentration and solitude: The Introvert’s Way by Sophia Dembling Rechargeable battery: The Introvert Advantage by Marti Olsen Laney Thoughtful-introspective

Are you an introvert? It depends on which book you read.

Here’s a sampling of the various conceptualizations of introversion in pop culture [1]:

Historically, there has been just as much confusion in the psychological literature. Carl Jung originally defined introversion as a focus on one’s “inwardly directed psychic energy”. However, in the 30s, the psychologist J.P. Guilford showed that various attempts to measure Jung’s conceptualization of introversion resulted in multiple, distinct factors. In other words, there didn’t appear to be a single dimension of personality that captured all of introversion.

In the 60s Patricia Carrigan echoed this point, arguing that introversion was not effectively captured by a single scale. She cautioned that if the phrase introversion is to continue to be used, “care must be taken to specify its conceptual and operational referent. What appear to be minor distinctions between the various conceptions may in fact be crucial ones.” In the 70s, the heated debate continued, with a much older Guilford arguing with H.J. Eysenck over whether introversion can possibly, or even should, be captured by a single scale.

All seemed to be settled in the 90s with the emergence of the “Big Five” framework of personality. The five main factors of personality– extraversion, neuroticism, agreeableness, conscientiousness, and intellect/imagination– were empirically derived based on what patterns of behavior tend to go together within individuals. Under this framework, introversion is merely defined as the opposite of extraversion.

In the Big Five framework, extraversion comprises two main aspectsenthusiasm (reflecting sociability, positive emotions, and warmth) and assertiveness (reflecting the tendency to take charge, become a leader, and captivate attention). The common factor seems to be high sensitivity to rewards in the environment— which due to the highly social nature of humans throughout the course of human evolution, most prominently consists of rewards associated with social attention.

Therefore, under the dominant personality framework in modern psychology, if you score low in enthusiasm and assertiveness, you’re an introvert

Here’s the problem: the Big Five framework forces a definition of introversion onto people, many of whom do not conceptualize introversion in the same way. For instance, one study did a comparison of common-sense/everyday notions of introversion and ‘scientific’ conceptions of introversion. They found that the most prototypical characteristic of introversion, as identified by the general public, was the following item:

Clearly, many people equate introversion with introspection. In the Big Five framework, however, this item is classified as part of the intellect/imagination domain of personality, not the introversion domain. So there’s a serious mismatch between folk definitions of introversion and scientific definitions. People who view themselves as introverted because they are highly introspective are being told by scientists: “You aren’t really introverted based on patterns of covariation among the general population.” To which everyday people rightfully respond: “WTF?” [3]

As noted personality psychologist Jonathan Cheek told me, “by invalidating the ordinary language meaning of introversion by defining it solely as the opposite of Big Five Extraversion, the Big Five researchers are guilty of Psychological Imperialism [4].” Influenced by the seminal work of Jung, Guilford, and Carrigan, Cheek and his colleagues have decided to take a different approach, by focusing on the phenomenon of introversion on its own, free from having to be force-fit into one scheme or another.

As Carl Jung said, each individual is ultimately a unique crystal, but type theories can be helpful for navigating social life. Embracing this Jungian philosophy, Cheek and his colleagues argue that when people use the term “introversion”, they should never just use it by itself. Instead, they argue that researchers should put a specific modifier in front of the term. What modifiers could be used?

In her masters thesis (written under the advisement of Cheek), Jennifer Odessa Grimes defined four meanings of introversion: social, thinking, anxious, and restrained (which happens to form the positive acronym STAR). It’s possible to score high or low on either of these flavors of introversion. For instance, you could be low in social introversion by preference but not be particularly anxious in the presence of people. Or you could suffer from crippling social anxiety, but still have the desire to be highly social. Or any other combination of these four meanings of introversion.

By this point you’re probably wondering what kind of introvert you are. Well, you’re in luck. There’s a new test for that.

Theory Of Computation

Theory of Computation or Theory of Automata is the core area of computer engineering and computer science, it is the branch that aims to attempt the deep understanding of computational processes by means of effectively solving the problems via mathematical models, techniques  and tools. This understanding is important for its applications that include various models of computation like algorithm, VLSI design and compiler, to the creation of intelligent technology, cognitive psychology, and philosophy.

In a more layman term we redescribe it as a part of theoretical Computer Science which is mainly concerned with the study of how problems can be solved using algorithms. Therefore, we can infer that it is very important to the study of logic and mainly logic within mathematics. These studies are used to understand the proper way an algorithm is meant to work, and to actually prove it works through analyzing the problems that may arise with the technique used and finding solutions to these problems that arise. It is quite a huge field of study but it is split up into three different parts i.e. automata theory, computability theory, and computational complexity theory.

In this specific field of study, computer scientists and engineers work using a model of computation. The most preferred model nowadays is the Turing machine model. This is because it is fairly simple and can be analyzed and used to prove results. The three sectors of theory of computation mentioned before deal with different studies; the Automata theory is the study of abstract mathematical systems or machines and also the computational problems that can be solved using these machines, these machines go by the name of automata. The Computability theory deals with the question of the extent to which a problem is solvable on a computer. Computational complexity theory takes under consideration whether a problem can be solved at all on a computer, as well as how efficiently that problem can be solved.

The two main aspects in this process are: Time complexity and Space complexity as studied by the beginners in the computer programming field. Time complexity is how many steps it takes to perform a computation or to solve a problem, and Space complexity is how much space or memory is needed to carry out that computation.

A model of computation and processing is the definition of the operations used in computation. It is used to calculate the complexity of an algorithm in execution time and memory space. Examples of models of computation other than Turing machines are finite state machines, combinatory logic, lambda calculus,  recursive functions, and abstract rewriting systems. In the field of runtime analysis of algorithms, we usually specify a computational model in terms of primitive operations permitted. The study of models of computation involves numerous other fields and each one has its own specifications and definition. Overall, theory of computation allows us to explore the nature of computations in a more deep state to understand new concepts and apply them to computer science.



True friends

“Good friends care for each other…close friends understand each other, but TRUE FRIENDS stay forever…beyond words, beyond distance, beyond time…!”

Many of us have friends in our lives over the years. Some friends we make as children and then lose contact as we grow older. Other friends we make as adults and stay in touch with as long as we are in close proximity to and it is convenient to keep in touch but then over time one moves away or busy schedules slowly pull us apart and we start to lose touch.  Those friendships fall into the “good friends” or “close friends” as the opening quote cites. But then there is that last group of friends – those we call true friends – they are those we have a mutual caring about, and we understand each other’s hearts, and where bonds are formed between us that span any distance in proximity and where the bonds run so deep that no amount of time apart or lack of words will change the way we feel about that friend. These are our true friends, and when one comes into your life cherish it!

As a child our family moved often and so I was constantly making new friends each place we moved. Often the contact was lost with friends in past locations, although my memories of them were treasured. As an adult it is often harder to find the time to form those deep friendships outside your immediate family members because we are all trying to juggle a million balls in the air with work and church and service and community all while trying to give our greatest attention to our own children and spouses  where it rightfully belongs. And as a single mother for many years of my life it was even more difficult to make time for friends because playing the role of two parents by yourself while also being the sole support of your family was overwhelming to say the least.

But even during those challenging years there were individuals during that time who came into my life that I consider my truest of friends. They are individuals who saw me through tough times and who always saw the best in me despite any of my shortcomings. They picked me up at times I was down. They stood by me when I felt alone. They taught me things about life and about myself with patience and understanding. They lifted my children’s spirits and made them laugh when they were going through tough times of their own. They forgave at times when I was grumpy or obstinate. They loved me without judgment and without expectations. They gave me hugs, even at times that I may not have deserved one.  These true friends were individuals who were there for me…maybe not always in person or in word every time, but always in heart…and knowing that helped me through incredible challenges throughout the years.

True friends just do that – they help us grow and change for the better.  They support us in good times and bad. They can make us laugh when all we want to do is cry. And no matter how far apart time and distance may cause us to grow from one another, and even if death takes one of them from this world to the next, we always have the comfort of knowing that these true friends are still there for us, even if only in spirit, cheering us on and wishing us the best, because that is what true friends do for each other.

“A strong friendship doesn’t need daily conversation, doesn’t always need togetherness as long as the relationship lives in the heart, true friends will never part…”

When someone is genuinely your true friend they leave an impression on your heart that will never go away…not with time and not with distance. True friends secure a place in your heart forever.  I am forever grateful for the true friends in my life, both those who are alive and those who have passed away, thank you so much for being my true friends!

Cryptocurrency

What is this crytocurrency that everybody is talking about? In simple words, it is digital currency in encrypted form. Money transaction is processed and validated through data mining. As of now, using crypto currency is a very complex process. Still, it is becoming popular in recent times worldwide.

Here, money transaction is carried out between two parties only.Hence there is no third party involvement. After validation and processing through data mining,it is kept in public ledgers but the transactions are kept confidential.Once a transaction is validated, miners get this crypto currency as reward.

Litecoin, Bitcoin, Ethereum ,Pipple are some examples of cryptocurrency. Out of this, Bit coin is the most popular crypto currency.

Cryptocurrency works on Block Chain Technology, which is a decentralised technology spread across many computers that manages and records transactions.

There are more than 4000 cryptos worldwide as of now. It’s users are called miners. This virtual currency is exchanged over the internet and uses cryptography as a means of security. There is no central authority to manage this system and it is immune to government interference.It is highly confidential and totally decentralised person to person payment method. All the transactions and accounts can be traced but the owner accounts are usually not easily traceable.

International money transfer can also be done through crypto. As it is becoming popular nowadays, it’s value is getting increased. Some people even use it for investment purposes. A large number of individuals and businesses have started using this. Many online websites also accept virtual currencies as payment.

Bitcoin is a premier crytocurrency created by Satoshi Nakatomo on 31 st October, 2008. It is pseudonomous and is controlled by users called bitcoin miners. These miners use different computer program and resources to solve highly complicated mathematics problems and get a number of bitcoins in exchange. They do this by verifying transactions and adding them to a public ledger called Blockchain. It holds the transaction history of all bitcoins in circulation. These miners keep the network secure and ensure that all systems are synchronized together. Those miners who help to accurately track the transactions and maintain network are rewarded with cryptos.

Ripple or XRP is an open source digital payment platform. Here money can be transferred in actual currency or cryptocurrency. XRP is used as a bridge currency to settle cross border payment in a faster and cheaper manner.

The cryptocurrency has neither been made legal nor banned. In India, they are not in use legally. Experts are advising on shutting down its trading. Likewise, other major countries are thinking of banning cryptocurrencies. So we have to wait and watch if the crypto will become the future of transactions or goes away for good.

SEARCHING ALGORITHMS

Searching algorithms is a basic, vital step in computing. It is a step-by-step technique to locate a particular data among a collection of data.

In computer science, there are various type of search algorithms available. The way they perform their activity decides the performance and efficiency of the manner in which the data is being used.

These algorithms are mainly categorised in 2 categories on the basis of their type of search operations. The two categories are:

  1. Sequential Search: In this, the list or array is tracked sequentially and every element is checked. For example: Linear Search
  1. Interval Search: These algorithms are precisely designed for searching in organized data-structures. These type of searching algorithms are more efficient than Sequential Search method, as they repetitively target the centre of the search structure and divide the search space in 2 halves. For Example: Binary Search.

Few of the searching algorithms are:

  • Linear Search
  • Binary Search
  • Jump Search
  • Interpolation Search
  • Exponential Search
  • Linear Search:

A linear search or sequential search is a technique for finding an element within a list. This type of searching algorithms sequentially checks each element of the list until a match is found or the whole list has to be searched.

A linear search runs in at worst linear time and makes at most n comparisons, where n is the length of the list. The time complexity of this algorithm is O(n).

  • Binary Search:

This type of searching algorithms is used to find the location of a specific value contained in a sorted array. Binary search algorithm works on the principle of divide & conquer and it is considered the best searching algorithms because of its rapid speed to search (Provided the data is in sorted form). A binary search is also known as a half-interval search or logarithmic search. The time complexity of above algorithm is O(log n).

  • Jump Search:

Just like Binary Search, this algorithm is one of the searching algorithms for sorted arrays. The basic idea is to check fewer elements (than linear search) by jumping ahead by fixed steps or avoiding some elements in place of searching all elements. The time complexity of this algorithm is between linear search (O(n)) and Binary Search (O(Log n)).

  • Interpolation Search:

Interpolation search is an upgraded variant of binary search. This search algorithm works on the searching position of the required value. For this algorithm to work properly, the data collection should be in a sorted form and equally distributed. Interpolation search is that type of searching algorithms, used for searching for a key in an array that has been ordered by numerical values assigned to the elements (key values). Time Complexity: O(log2(log2 n)) for the average case, and O(n) for the worst case (when items are distributed exponentially)

  • Exponential Search:

Exponential search is also known as doubling or galloping search. This mechanism is used to find the range where the search key may exist.

If L and U are the upper and lower bound of the list, then L and U both are the power of 2. For the last section, the U is the last position of the list. For that reason, it is known as exponential. After finding the specific range, it uses the binary search technique to find the exact location of the search key.