SEO best practices for content and website optimization for higher search engine rankings have gained much attention. That is because every marketer wants to rank his web pages on Google search. Because of the constant Google algorithm update, some web owners are not sure about the best SEO techniques to apply.

Therefore, are you struggling to define the best SEO practices that will increase your Google search ranking? How good is your search engine ranking? Do you want to improve your SEO strategy?

If so, this post is for you.

Understandably, if you ask some marketers and website owners, you will find out that there are many more SEO issues they’re trying to solve. SEO experts are not left out. As the search algorithm continues to change, content marketers and search engine optimization experts must keep adapting to the latest trends to stay on top of their game.

What Is SEO?

Search engine optimization (SEO) is a marketing tactic focused on growing your visibility in organic (non-paid) search engine results to drive traffic to your site. Backlinko also described SEO as:

“Search engine optimization (SEO) is the art and science of driving targeted website traffic to your website from search engines.”

According to his descriptions above, the main objective of SEO is to boost your search engine rankings and drive organic traffic to your blog or website. That is why SEO is so important for your business. However, there are some creative juices — SEO best practices you must apply to help you improve content visibility and your chances of ranking high on SERPs.

But first, let us discuss how search engine optimization work.

How Does SEO Work?

For SEO to work for you, your blog or website should be search engine-friendly, meaning that your site is fast, responsive to mobile, has well-researched and high-quality content that users will find helpful. In this way, Google bot will crawl and index your pages faster.

It will help in improving your search engine rankings. For example, Google uses a search algorithm to analyze websites and blog content. Then the search engine crawler will offer a performance score according to its analysis of your site.

What SEO does in this regard is that it send signals to Google bot and other search engines that tell them your blog is excellent for indexing.

Let’s explore few different number systems that are in use today and see how with simple three rules, we can build any number system we want.

In mathematics, a “base” or a “radix” is the number of different digits or combination of digits and letters that a system of counting uses to represent numbers. ~Wiki~

For example,

Base 10 (Decimal) — Represent any number using 10 digits [0–9]
Base 2 (Binary) — Represent any number using 2 digits [0–1]
Base 8 (Octal) — Represent any number using 8 digits [0–7]
Base 16(Hexadecimal) — Represent any number using 10 digits and 6 characters [0–9, A, B, C, D, E, F]
In any of the number systems mentioned above, zero is very important as a place-holding value. Take the number 1005. How do we write that number so that we know that there are no tens and hundreds in the number? We can’t write it as 15 because that’s a different number and how do we write a million (1,000,000) or a billion (1,000,000,000) without zeros? Do you realize it’s significance?

First, we will see how the decimal number system is been built, and then we will use the same rules on the other number systems as well.

We all know how to write numbers up to 9, don’t we? What then? Well, it’s simple really. When you have used up all of your symbols, what you do is,

you add another digit to the left and make the right digit 0.
Then again go up to until you finish up all your symbols on the right side and when you hit the last symbol increase the digit on the left by 1.
When you used up all the symbols on both the right and left digit, then make both of them 0 and add another 1 to the left and it goes on and on like that.
If you use the above 3 rules on a decimal system,

Write numbers 0–9.
Once you reach 9, make rightmost digit 0 and add 1 to the left which means 10.
Then on right digit, we go up until 9 and when we reach 19 we use 0 on the right digit and add 1 to the left, so we get 20.
Likewise, when we reach 99, we use 0s in both of these digits’ places and add 1 to the left which gives us 100.
So you see when we have ten different symbols, when we add digits to the left side of a number, each position is going to worth 10 times more than it’s previous one.

Let’s take the same decimal number system. There are only two rules actually.

You have a symbol to represent a quantity [0–9]
Then the meaning of a digit based on its position — let’s get this clarified a bit.
Let’s take one digit number ‘8’. This simply means 8, in other words, it is exactly what it says it represents. What about 24? In case of two digits, right digit says what it means, but left digit means ten times what it says. That is, 4 is 4, 2 is 20. Altogether forms 24.

If we take a three digit number, rightmost digit means what it says, the middle one is ten times what it says, leftmost digit 100 times what it says. Simply if we take number 546, it means 6 + (10 * 4) + (5 * 100) = 546.

With binary, we have only two digits to represent a number, 0 and 1 and we are already out of symbols. So what do we do? Let’s apply the same rules that we used on the decimal system.

We make the right digit 0 and add 1 to left, that is, our next number is ‘10’. Then we go up until we used up all our symbols on the right side.So the next number in line is 11.

After ‘11’, we put 0s in both these places and add 1 to the left and we get 100.

Then 101, 110, 111 then 1000 …

This binary number system is based on two digits and each position is worth two times more than the previous position.

Reading a binary number is almost same as reading a decimal. Right digit says what it means, next one means two times the previous one, after that 4 times etc…

So 101 means 5 in decimal.

These same rules apply to octal and hexadecimal number systems as well. With octal, we have only 8 digits to represent numbers so once we get to 7 the next number is 10 and in hexadecimal, we have 10 digits and 6 letters to represent numbers. In that case, when we reach 9 next number is represented in the letter ‘A’. Next one ‘B’. Likewise, we go up to letter ‘F’ and after ‘F’ comes ‘10’.

I’ll just list down few numbers in these 4 different number systems and see whether you can apply the rules that we discussed above to get the next number.

A number system is a system of numbers used to represent an amount of objects. In the English speaking world, we use a number system called base 10. We have 10 numbers: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 and when we want to count past 9 we add a 1 and 0 together to make 10, and then we repeat.

But we can have as many numbers as we want, we can have 0 through to 8 or 0 through to 1, which is what we’re going to talk about here.

Binary is a number system which only has 2 numbers, 0 and 1. We can count any number in binary. To make binary more readable, here is a quick translation of binary numbers into base 10 (decimal) numbers.

0 is equal to 0, and 1 is equal to 1. To make the number 2, we write “10” because it’s physically impossible to write anything > 1, we have to start over in a new column. Much like how we cannot write 11 as a single number (unless you count in base systems more than 10).

Binary is often used in logic, 0 represents False of Off and 1 represents True or On.

It is relatively easy to convert from binary to decimal. There are two popular methods.

Write down the decimal number and divide by 2 continually to give a result and a remainder of either a “1” or a “0” until the final result equals 0.

This is my personal favourite method, but to do this you need to know your powers of 2.

Powers of 2 are very important in computer science. Binary is represented as 2 numbers, so if you have 3 circuits then you will have 2³ numbers, 0 through to 7.

The powers of 2 are:

2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192.

And to make an odd number, we add 1 to the list so the list of numbers we need to know becomes: 1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192.

Okay, say we want to represent 15 as a binary number. First we need to split up 15 so it can be made up of powers of 2 + the number 1. The nearest power of 2 that is less than 15 is 8, so we’ll use that. 8 + 4 is 12. 8 + 4 + 2 is 14, so we’re very nearly there! Now we just add a 1. 15 represented as powers of 2 is 8 + 4 + 2 + 1.

Now we know this, we can convert this simply.

The binary to powers of 2 graph looks like this.

If the number uses an 8, put a 1 in the binary box under it to represent that it uses an 8. I much prefer to use this method though:

And then normally we would need to reverse the binary numbers, but in this case because it’s all just 1’s we don’t need to reverse. If we don’t reverse them, we get the wrong binary number as binary is read with the highest order of magnitude to the left, not the lowest. Much like how in “10”, the 1 is a whole place higher than the 0; the same applies for binary.

You can convert binary to decimal in the opposite method.

Let’s first review addition in decimal.

23 + 11
We first add 3 + 1, that equals 4. then we add 2 + 1, which is 3. So the answer is 34. We add from the right to the left.

Binary addition works the same.

We will begin with one bit (binary digit) addition.

0 + 0 = 1
and

0 + 1 = 1
and

1 + 1 = 10
1 + 1 carries us into the next column.

Try it yourself:

111 + 110 = ???
Also, pretty much every operator works in the same way it does with binary as with decimal.

We can represent a binary number by applying a “sign” to it.

In Binary, numbers can be 4 bit, 8 bit, 16 bit, 32 bit and so on. If we have an 8 bit number, it’ll be 8 digits long.

So let’s say we have the number 1 in 8-bit binary, that’ll be represented as: 00000001 to turn this negative, we add a 1 to the front of it 10000001

Although this sometimes causes a problem. Given the number 0 in 8-bit binary: 00000000 we can make it negative by adding a 1 to the front of it. 10000000 But -0, what is that? It’s nothing. It’s impossible. And that’s where the problem comes from.

We can make a binary number negative by applying two’s complement to it without the need to sign it.

Two’s complement is a really simple algorithm:

invert all the digits so 0 becomes 1 and 1 becomes 0
add a +1 to the number
and this makes it negative!

So given the number 15, which is 1111, in 8-bit binary it’ll be: 00001111 So to make this negative we invert all the digits: 11110000 then we add a 1 to the end 11110001 and now this represents -15! How creative and cool!

Let’s say we have 2 numbers, -3 and -5. In binary these are: 11, 101 and we want to add them together.

But this time we can ignore any carries that go off the end.

So we use the largest power of 2 that can fit both 5 and 3 into it, which is 8. But this time we make it negative.

Now we simply add them. 1 + 1 is 0 carry 1, the next line is 1 + 1 which is 0 so carry that, the next line is 1 + 1 which is 0 so carry that, the next line is 1 + 1 + 1 which is 1 carry 1, but this time we can throw away the carry and we’re left with 1000 as an answer.

Many thanks to Jahan Ulhaque, Computer Science Student at University of Liverpool for showing me this method.

Treat this as addition but negate the second operand. So 4–3 is just 4 + (-3)

Which is just

0100 + 1101 = 001as we ignore the carry again.
Overflow is when more bits are stored in the binary value than it could hold.

An example of this is 4 + 7 in 4-bit binary.

0100 + 0101 + 1001
The correct result, 9, is too big to fit into 4 bit representation, as the 1 on the front makes it negative 1.

If both inputs to an addition have the same sign, and the output sign is different, overflow has occurred.

Overflow cannot occur if the signs differ

 Definition:

Can Meta Tags Help In Search Engine Optimization?

Want To See These tags?

These tags in HTML will look something like this:

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