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Data Structures and Algorithms Course

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This course is primarily for placement preparation and will be using C and C++ for the algorithms and data structures. The notes for the course will be provided in PDF format for convenience. Data structures are essential for developing efficient algorithms that arrange data in main memory for optimal usage. It's important to note that algorithms and data structures are two different things. C is a bare-bones programming language that requires you to do everything yourself, but Java can also be used to implement algorithms. This course is ideal for those looking to switch jobs or prepare for interviews, and there is a 15-hour video on C programming available on the channel with notes.

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Introduction to Data Structures & Algorithms
This course is primarily for placement preparation and will be using
C and C++ for the algorithms and data structures. The notes for the
course will be provided in PDF format for convenience. Data
structures are essential for developing efficient algorithms that
arrange data in main memory for optimal usage. It's important to
note that algorithms and data structures are two different things. C
is a bare-bones programming language that requires you to do
everything yourself, but Java can also be used to implement
algorithms. This course is ideal for those looking to switch jobs or
prepare for interviews, and there is a 15-hour video on C
programming available on the channel with notes.
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
Data structure is the arrangement of data in main memory, and the
concept of database, data warehouse, and big data will be covered
in the course. The fuel of big algorithms is data, and keeping it
properly in the hard disk is essential for efficient retrieval, updating,
and deletion. Although data warehousing is beyond the scope of this
course, it's still important to understand it. Data structures and

, algorithms are best learned from C and C++, which provide a good
picture of memory usage. The concepts of stack and heap are
essential in understanding how C programs work, and space and
time complexity will be covered in future videos. Overall, this course
will cover many data structure concepts, such as linked lists, arrays,
binary search trees, and more.


Time Complexity and Big O Notation (with
notes)
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.
I want to tell you guys one story. It happened like this , I was bored
in my house. I was so bored that I needed some entertainment. This
guy has amazing games like Pubg and GTA5. So he has a collection
of games. He likes playing games a lot. And you can get every type
of game from him. But there is one problem , I also use jio. He also
uses jio and we get just 1 Gb for one day. And with more internet ,
we ca n't sell files and all. So for me , what is the fastest way to take
the game from this friend. So what will I do ? I will take my bike As
the size of this input will get increased, the runtime of the
algorithms will increase. This means that as the input size is
increasing like that The time required to send the file , That is also
increasing. There is a hard disk then there is your motorcycle. You
will go on that bike. And you will take it and in hard disk whether
you bring 250kb or Tb. As the input size of algo2 increased like that
what happened ? For that , there was no change in the runtime.
Runtime remained the same. So we say as the size of the input
keeps on increasing , Similarly, what is the effect of the algorithm on
runtime. We are to trying to remove the time complexity of them.
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

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