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DATA STRUCTURES

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Introduction to Data Structures & Algorithms


should be able to use it in your work or in your projects or in your courses or in

your projects that you are doing in the future or in your work that you are doing

right now so if you want to use something then you should be able to use it in

your work or in your projects or in your courses or in your future work or in

your projects that you are doing right now . So data structures and algorithms

are things that help us in our work or in our projects or in our courses or in our

future projects or in our work or in our projects that we are doing right now so if

you want to use something then you should be able to use it in your work or in

your projects or in your courses or in your future work or in your projects that

you are doing right nowwater in a pot and you put the tea bag in the cup and

you make the coffee Now what is the difference between data structures and

algorithms? Algorithms are specific steps that need to be taken in order to

solve a problem.I have been in the industry for a long time now and I have

seen a lot of people learning C , C++ and when they start to learn it they get

very lost & confused & they don't know what they are doing & they don't know

how to use the language properly & eventually they stop learning it & they end

up becoming a beginner again & that is not good for the industry & it is not

good for the learners either so I would say learn C , C++ & don't get lost in the

language learning process

a break for a while I understand that you are very busy for the next few days

and I understand that you are very busy for the next few weeks and I

understand that you have a lot of questions so I 'll just stop now and I 'll come

back to you in a few days and we will start the next video where we will talk

about algorithms and data structures and then we will talk about interviews

,and then finally we will talk about the final exam and you can ask me any

questions that you have in your mind so that 's all for now I 'll come back to

you in a few days and we will start the next videowhat is the data structure of

chrome so now we see that the data structure is called RAM so the data

structure of a database is called RAM because when the program starts it will

load into RAM the data structure of the database which is called RAM . And

then you will get to hear this and it is asked in the interviews, "tell me, what is

this?" So now let's understand database, data warehouse, and big data here

we have understood the data structure that when your program starts in RAM,

it will load into the random access memory.I want to keep the data in a

different database so what I have to do is I have to create a new database and

I have to name it ` legacyData '' I have to create a new table in that database

and I have to add the following column in the table ` Birthday ` I have to add the

following column in the table ` Year ` Now I have to run the program and I will

get the following result in the console ` Facebook 2020 ` Facebook 2021 `

Facebook 2009 ` ` Facebook 2020 ` Facebook 2021 ` Facebook 2009 ` ` Facebook

2009 ` You retrieve and read the data from hard disk drive and update it.

know these three terms because big data is what we are talking about

here .memory location where the C program stores the data that is to be

processed next and the heap is a memory location where the C program stores

the data that is to be processed next but the data that is to be processed next

is not always stored in the same location as the data that is to be processed

next because the C program can keep data in different memory locations

depending on the situation and this is why it is important for you to understand

the stack and heap because you will be able to understand the C program

better and be able to ask more questions on the C program. Alright ... I 'm

talking about C program that 's why I say that you get a good picture of

memory with the help of C programming therefore , data structures and

,algorithms is best learned from C and C++ Now here I am dividing it into

segments so there is thing called code segment let 's say this is my code let 's

say there is a code with the name ` harry.c '' now this code will be first loaded

into my main memory I told you what is the first thing that happens ?then it

will come to this line it will come to fun1 ( ) , it will execute fun1 ( ) . fun2 ( ) is

calling inside fun1 ( ) now the variables that I had created inside it will be

created here let 's say I have created ` k '' & ` l '' let me write here : initialize k

and l and after that I 'm calling fun2 ( ) so as soon as fun2 ( ) will be called it

will say to fun1 ( ) that you wait for a while , I call fun2 ( ) and be back by

fetching the value whatever it will return fun1 ( ) replied that you go and get it

call fun2 ( ) and get its value .

me where do I give the milk to the milkman because the pointer will store the

address of the malloced memory so the milkman will get the milk from the

pointer and the pointer will stay there until you return the function or until you

delete it.it will say to fun1 ( ) that you 're coming back and now you can start

your execution again . If anyone asks you this question, that why heap is used,

it can also be done from stack. So that thing is done here with the help of

dynamic memory because when does the stack of a function end it ends when

the function is returned. I just come back with the value you just wait here. You

go and get it and then what will happen, fun function will be called.

this video we will focus on linked list & binary search tree so if you want to

know more about these then you should go ahead and watch the video and

learn more about these things . If you still think that you want to do all of these

things with Python, then I am saying that when you will go for an interview, the

person in front of you will expect C, C++, or Java from you. If you don't know C

properly, then I have made a 15-hour long video of C with notes.

, Time Complexity and Big O Notation


So the input size didn't increase and the runtime of the algorithms didn't

increase either .No , it doesn't depend on the size of the input . When we ask

questions like as the input will increase, Then the runtime will change as per

what? And after that Now you will go to aunty's house You will be treated.

Consider there are different routes to come and go.

is the algorithm that runs in constant time . K1 n to the power 0+k2+k3+k4

This time is required in algo 2 .The sentence is: Run time of it, there are some

things that we will recite. Because we won't constantly use our brains again

and again, as we see Big O of 1 it is constant. Now, come here and listen to

another story. If we do an analysis of the first algorithm, If I do T algo1 Then

what will happen here? And along with consider that game is of L3 kb. If the

game is of N kb then how much time will you need? The sentence is: Run time

of it, there are some things that we will recite.There are polynomial algorithms

and there are exponential algorithms and there are logarithmic algorithms and

there are exponential functions and there are logarithmic functions. There are

also algorithms that are not linear in time.



Asymptotic Notations: Big O, Big Omega and
Big Theta Explained


This passage discusses the complexity of an algorithm, which is measured in

terms of the size of its big O graph. THe author states that the complexity of an

algorithm is automatically O(n^5.), O(n^30), and O(n^100).& G ( n ) is

intersecting with f ( n ). So you will get some complex function Alright so this is

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