. 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
2
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
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
1
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
2
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
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
1
