Enhance your understanding of algorithm analysis and data structures with comprehensive lessons and Python implementations. Perfect for students and developers alike.
This course is all about understanding algorithms and data structures, even if you’re a total newbie. You’ll walk through some popular algorithms and learn how to code them in Python. It's fun and easy—perfect for students and developers alike!
This course provides a comprehensive overview of the concepts of algorithm analysis and development.
Course update April 2021:Â Added Python code implementations for the Stack data structure, including a practical example that shows how to reverse a string.
This course provides a comprehensive overview of the concepts of algorithm analysis and development. I attempted to make the course as straightforward as possible, to the point where no previous experience in algorithm analysis or formal computer science education is required.
In the lessons, I review popular algorithms such as:
Binary search trees
Tree traversal and management
Merge sort
Counting sort
Insertion sort
Radix sort
Huffman coding
And much more
Additionally, you'll learn about the data structures that are utilized to implement these algorithms, such as queues and stacks. I also review a number of graph algorithms and give introductions to additional advanced algorithm analysis concepts.
And based on course feedback, I'm now adding full Python based code implementations of the algorithms, so you can build and run the programs!
I developed this course while I was taking a graduate level Analysis of Algorithms and Data Structures course from Texas Tech University, and these are all the main topics that we discussed. So whether you are a university student looking to pass your algorithm and data structure class, or you are a developer looking to improve your computer science skills, this is the course for you.
By the end of this course you will have a thorough understanding of some of the most popular algorithms and data structures
2 Lectures
4 Lectures
4 Lectures
6 Lectures
4 Lectures
4 Lectures
Jordan Hudgens is the CTO and Founder of Bottega where he leads instruction and curriculum development for all of the DevCamp and Bottega code schools around the US.As a full stack developer for over the past decade, Jordan has traveled the world building applications and training individuals on a variety of technology stacks, including:Â Ruby on Rails, Python, React JS,...
I learned a lot! Can't wait to finish it!!
You never mention things as being "constant", "linear", "quadratic", "logarithmic", etc. If I had no exposure to those words before this course, I would be absolutely stumped if someone asked about "linear time". Great material, just might be worthwhile to mention them like that as well.
An Excellent Course
interest
High level intro, is what it says, real fast but useful to get a 1000 foot undesrtanding of algorithms and start your own learning
nice explanation
I liked his explanations about the different types of algorithms, but I wished there was more math or would of used more practical examples. To get a better understanding of how to use them in real life. His explanations of how they work is good though.
At least on the first lecture of complexities some more attention should be given to the graph. It doesn't have to be "to scale" to demonstrate O(n) should be a linear function. Draw that sucked at a 45% angle. Same with constant time, there should be no curve to the line since its derivative is 0.
good
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Sebastian T.
Great Course