1598796300

The Big O notation is a notion often completely ignored by developers. It is however a fundamental notion, more than useful and simple to understand. Contrary to popular belief, you don’t need to be a math nerd to master it. I bet you that in 7 minutes, you’ll understand everything.

The Big O notation (or algorithm complexity) is a standard way to measure the performance of an algorithm.** It is a mathematical way of judging the effectiveness of your code.** I said the word mathematics and scared everyone away. Again, you don’t need to have a passion for math to understand and use this notation.

This notation will allow you to measure the growth rate of your algorithm in relation to the input data.** It will describe the worst possible case for the performance of your code.** Today, we are not going to talk about space complexity, but only about time complexity.

And it’s not about putting a timer before and after a function to see how long it takes.

The problem is that the timer technique is anything but reliable and accurate. With a simple timer the performance of your algo will change greatly depending on many factors.

- Your machine and processors
- The language you use
- The load on your machine when you run your test

**The Big O notation solves all these problems and allows us to have a reliable measure of the efficiency of all the code you produce.** The Big O is a little name for “order of magnitude”.

#technical #understand #big o notation #big data

1598796300

The Big O notation is a notion often completely ignored by developers. It is however a fundamental notion, more than useful and simple to understand. Contrary to popular belief, you don’t need to be a math nerd to master it. I bet you that in 7 minutes, you’ll understand everything.

The Big O notation (or algorithm complexity) is a standard way to measure the performance of an algorithm.** It is a mathematical way of judging the effectiveness of your code.** I said the word mathematics and scared everyone away. Again, you don’t need to have a passion for math to understand and use this notation.

This notation will allow you to measure the growth rate of your algorithm in relation to the input data.** It will describe the worst possible case for the performance of your code.** Today, we are not going to talk about space complexity, but only about time complexity.

And it’s not about putting a timer before and after a function to see how long it takes.

The problem is that the timer technique is anything but reliable and accurate. With a simple timer the performance of your algo will change greatly depending on many factors.

- Your machine and processors
- The language you use
- The load on your machine when you run your test

**The Big O notation solves all these problems and allows us to have a reliable measure of the efficiency of all the code you produce.** The Big O is a little name for “order of magnitude”.

#technical #understand #big o notation #big data

1598508720

As programmers, we often find ourselves asking the same two questions over and over again:

*How much time does this algorithm need to complete?**How much space does this algorithm need for computing?*

To put it in other words, in computer programming, there are often multiple ways to solve a problem, so

*How do we know which solution is the right one?**How do we compare one algorithm against another?*

The big picture is that we are trying to compare how quickly the runtime of algorithms grows with respect to the size of their input. We think of the runtime of an algorithm as a function of the size of the input, where the output is how much work is required to run the algorithm.

To answer those questions, we come up with a concept called **Big O notation**.

- Big O describes how the time is taken, or memory is used, by a program scales with the amount of data it has to work on
**Big O notation**gives us an upper bound of the complexity in the worst case, helping us to quantify performance as the input size becomes arbitrarily large- In short,
**Big O notation**helps us to measure the scalability of our code

When talking about **Big O Notation** it’s important that we understand the concepts of time and space complexity, mainly because_ Big O Notation_ is a way to indicate complexities.

Complexity is an approximate measurement of how efficient (or how fast) an algorithm is and it’s associated with every algorithm we develop. This is something all developers have to be aware of. **There are 2 kinds of complexities: time complexity and space complexity.** Time and space complexities are approximations of how much time and space an algorithm will take to process certain inputs respectively.

Typically, there are three tiers to solve for (best case scenario, average-case scenario, and worst-case scenario) which are known as asymptotic notations. These notations allow us to answer questions such as: Does the algorithm suddenly become incredibly slow when the input size grows? Does it mostly maintain its fast run time performance as the input size increases?

#performance #development #big o complexity #big o notation #big data

1625640780

Hey guys, In this video, we’ll be talking about Time complexity and Big O notation. This is the first video of our DSA-One Course. We’ll also learn how to find the time complexity of Recursive problems.

Practice here: https://www.interviewbit.com/courses/programming/topics/time-complexity/

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time complexity,time complexity of algorithms,time complexity analysis,complexity,time complexity tutorial,time and space complexity,time complexity explained,examples of time complexity,time,space complexity,time complexity in hindi,time complexity examples,analysis of time complexity,time complexity calculation,how to calculate time complexity,time and space complexity in hindi,time complexity of algorithms in hindi,what is time complexity in data structure,all time complexity

#big o #big o notation #time complexity

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Big Data has played a major role in defining the expansion of businesses of all kinds as it helps the companies to understand their audience and devise their business techniques in accordance with the requirement.

The importance of ‘Data’ has been spoken very highly in the modern-day business. Thus, while using big data analysis, the companies must keep away from these minor mistakes otherwise it could have a major impact on their performances. Big Data analysis can be the silver bullet that can answer your questions and help your business to scale newer heights.

**Read More:** Silly mistakes that can cost ‘Big’ in Big Data Analytics

#top big data analytics companies #best big data service providers #big data for business #big data technology #big data mistakes #big data analytics

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The rapid growth of technology has led to many people opting for online services, and thus the collection and maintenance of data becomes a significant factor for any company. Big data analytics service providers can help the companies get a massive edge over their competitors as they would manage the data well and allow the businesses to make better business decisions. It will provide you with a combination of increased customer experience, revenue, and reduced cost and thus will create a win-win situation for your business. Big data technologies will be your perfect ally in excelling in the cut-throat business environment and come out with flying colors.

Read More: Big Data can be The ‘Big’ boon for The Modern Age Businesses

#big data analytics service providers #top big data analytics companies #impact of big data on businesses #best big data consulting firms #big data #big data for businesses