Course Introduction
This course is designed for placement preparation and will
mainly cover data structures and algorithms using C and C++.
Even if you do not know C++, you will still be able to follow
along easily. The notes will be made available as a PDF in the
description below.
Data Structures and Algorithms
Data structures are used to arrange data in main memory for
efficient usage while algorithms are a sequence of steps to
solve a given problem. In this course, we will cover arrays,
linked lists, and graphs as examples of data structures and
dive into solving problems using different algorithms.
Programming Languages
C and C++ will be the primary languages used in this course
but Java can also be used to implement the algorithms. I do not
recommend Python or JavaScript for beginners but rather
suggest learning C to get a solid foundation in programming.
Conclusion
Learning data structures and algorithms is a responsibility and
I will teach this course in a way that is easy to understand for
beginners. Don't worry if you make mistakes or have trouble at
first, just follow along step by step and everything will become
clear.
Data Structures & Algorithms for
Placements
This course is primarily for those preparing for placements or
job interviews.
Time is limited when preparing for placements, so this course
is structured to value your time. A 15-hour video on C with
notes is available on the channel, which will be covered first. If
you're an advanced Java user or can program algorithms in
Python, then it's possible to do so. However, it's recommended
to learn C and C++ first.
Data structure is an arrangement of data in main memory,
which refers to RAM (Random Access Memory) of 2, 4, 8, 16, or
32 GB. The sequence of RAM usage is important when loading
, a program like "chrome.exe" for Windows. Fiddling with data
occurs in main memory, which must be arranged optimally
using data structures to minimize RAM usage.
The theory of databases is not covered in this course, but you
should know their basic concepts. When opening a new tab, a
large amount of data is stored in a database that must be
retrieved and updated regularly. Data warehouses store data
permanently for faster retrieval and updation for analysis
purposes. Legacy data needs to be stored separately from the
main system.
Sorting Algorithms
The example used here is sorting arrays in ascending or
descending order. An algorithm is a series of steps to create a
process. When sorting an array, steps must be taken to sort in
ascending or descending order. The steps taken to sort an
algorithm into an array define the algorithm.
Data Warehousing and Big Data
Data is the fuel of big algorithms these days, so it's essential
not to lose the data. To prevent data loss, the data is
separated from the main system and stored in what is known
as legacy data. Data warehousing, on the other hand, deals
with how to store legacy data efficiently in different types of
algorithms, analysis, and distributed systems that can handle
huge databases that regular applications or algorithms cannot.
Big data is a separate field that requires a different set of
algorithms and analysis.
It's essential to understand data warehousing and big data,
though they are beyond the scope of this course. Do not use
these terms, but understand their significance. The best way
to learn data structures and algorithms is to study C
programming, specifically stacks and heaps. In the context of C
programming, understand that the memory layout of a C
program is divided into segments, such as the stack, heap, and
segments for static and global variables.
Memory Layout of a C Program
The stack frame or activation record of the main function is
always created first, and subsequent activation records of
other functions such as fun1 and fun2 are created when called.
Variables are created in their respective activation records. To
This course is designed for placement preparation and will
mainly cover data structures and algorithms using C and C++.
Even if you do not know C++, you will still be able to follow
along easily. The notes will be made available as a PDF in the
description below.
Data Structures and Algorithms
Data structures are used to arrange data in main memory for
efficient usage while algorithms are a sequence of steps to
solve a given problem. In this course, we will cover arrays,
linked lists, and graphs as examples of data structures and
dive into solving problems using different algorithms.
Programming Languages
C and C++ will be the primary languages used in this course
but Java can also be used to implement the algorithms. I do not
recommend Python or JavaScript for beginners but rather
suggest learning C to get a solid foundation in programming.
Conclusion
Learning data structures and algorithms is a responsibility and
I will teach this course in a way that is easy to understand for
beginners. Don't worry if you make mistakes or have trouble at
first, just follow along step by step and everything will become
clear.
Data Structures & Algorithms for
Placements
This course is primarily for those preparing for placements or
job interviews.
Time is limited when preparing for placements, so this course
is structured to value your time. A 15-hour video on C with
notes is available on the channel, which will be covered first. If
you're an advanced Java user or can program algorithms in
Python, then it's possible to do so. However, it's recommended
to learn C and C++ first.
Data structure is an arrangement of data in main memory,
which refers to RAM (Random Access Memory) of 2, 4, 8, 16, or
32 GB. The sequence of RAM usage is important when loading
, a program like "chrome.exe" for Windows. Fiddling with data
occurs in main memory, which must be arranged optimally
using data structures to minimize RAM usage.
The theory of databases is not covered in this course, but you
should know their basic concepts. When opening a new tab, a
large amount of data is stored in a database that must be
retrieved and updated regularly. Data warehouses store data
permanently for faster retrieval and updation for analysis
purposes. Legacy data needs to be stored separately from the
main system.
Sorting Algorithms
The example used here is sorting arrays in ascending or
descending order. An algorithm is a series of steps to create a
process. When sorting an array, steps must be taken to sort in
ascending or descending order. The steps taken to sort an
algorithm into an array define the algorithm.
Data Warehousing and Big Data
Data is the fuel of big algorithms these days, so it's essential
not to lose the data. To prevent data loss, the data is
separated from the main system and stored in what is known
as legacy data. Data warehousing, on the other hand, deals
with how to store legacy data efficiently in different types of
algorithms, analysis, and distributed systems that can handle
huge databases that regular applications or algorithms cannot.
Big data is a separate field that requires a different set of
algorithms and analysis.
It's essential to understand data warehousing and big data,
though they are beyond the scope of this course. Do not use
these terms, but understand their significance. The best way
to learn data structures and algorithms is to study C
programming, specifically stacks and heaps. In the context of C
programming, understand that the memory layout of a C
program is divided into segments, such as the stack, heap, and
segments for static and global variables.
Memory Layout of a C Program
The stack frame or activation record of the main function is
always created first, and subsequent activation records of
other functions such as fun1 and fun2 are created when called.
Variables are created in their respective activation records. To
