Getting Started with DSA
If you are new to programming, grab a pen and paper and let's
dive in! The intent of this course is to prepare you to easily
solve any DSA question that comes up in online tests or
interviews. You should be able to provide optimal solutions to
these problems.
Problem:
Given a set of values, how do we approach the problem and write
code to solve it?
Solution:
Choose an appropriate algorithm: Once we have a clear
understanding of the problem, we can choose an algorithm that
fits our requirements. This may involve researching different
algorithms and their time and space complexities.
Write code: Finally, we can write the actual code to
solve the problem. This may involve debugging and testing to
ensure that the code works as expected.
Example code:
def example_function(input): # Step 1: Analyze the problem
# Identify inputs and expected outputs # Consider any
constraints or requirements # Step 2: Choose an
appropriate algorithm # Research different algorithms and
their complexities # Step 3: Write pseudocode # Break
problem down into smaller steps # Organize thoughts and ensure
on right track # Step 4: Write code # Solve problem
using chosen algorithm # Debug and test code return
output
Here's a problem and its solution:
Then, we'll write the actual code for it using a high-
level language.
Once we do that, our program becomes executable.
Formulating the first question
Deciding on the approach
Development courses:
Data Science and Machine Learning
Machine Learning courses:
Advanced Machine Learning
Android Development courses:
Advanced Android Development
Well-structured courses
Courses available in Hindi and English
Translation of code
If you are new to programming, grab a pen and paper and let's
dive in! The intent of this course is to prepare you to easily
solve any DSA question that comes up in online tests or
interviews. You should be able to provide optimal solutions to
these problems.
Problem:
Given a set of values, how do we approach the problem and write
code to solve it?
Solution:
Choose an appropriate algorithm: Once we have a clear
understanding of the problem, we can choose an algorithm that
fits our requirements. This may involve researching different
algorithms and their time and space complexities.
Write code: Finally, we can write the actual code to
solve the problem. This may involve debugging and testing to
ensure that the code works as expected.
Example code:
def example_function(input): # Step 1: Analyze the problem
# Identify inputs and expected outputs # Consider any
constraints or requirements # Step 2: Choose an
appropriate algorithm # Research different algorithms and
their complexities # Step 3: Write pseudocode # Break
problem down into smaller steps # Organize thoughts and ensure
on right track # Step 4: Write code # Solve problem
using chosen algorithm # Debug and test code return
output
Here's a problem and its solution:
Then, we'll write the actual code for it using a high-
level language.
Once we do that, our program becomes executable.
Formulating the first question
Deciding on the approach
Development courses:
Data Science and Machine Learning
Machine Learning courses:
Advanced Machine Learning
Android Development courses:
Advanced Android Development
Well-structured courses
Courses available in Hindi and English
Translation of code
