Recursion, Backtracking and Dynamic Programming in Python (Udemy.com)

I have taken many data structure courses on udemy and elsewhere. I learned a LOT from this course. This course was extremely ambitious in its content -- a very large number of non-trivial algorithms were covered. Many different algorithm strategies were covered (brute force, recursion, backtracking, divide and conquer, dynamic programming, and even a bit on heuristics). The course even gets into bit manipulations that can be done that Python supports. The treatment was not lacking as you might expect with so much being attempted to be covered. Instead you were treated to in depth explanations of the algorithms and step by step visualizations of how the algorithms operate. Importantly, the provided python source code WORKS. I did not run into any issues with the provided code. That is not always the case in these courses. Again, my congratulations on a job well-done. This is the best algorithm course I have taken. Thank you Holczer Balazs! Caveat: I believe there is some prior knowledge assumed, such as you are familiar with some basic algorithms like bubble sort and basic data structures like linked lists and perhaps binary search trees. I think the only sorting algorithm covered was merge sort. I am looking forward to the the second course on algorithms in python being offered by Holzcer. Thanks again!

Topics are covered deep enough. I'm getting a lot of new information. Holczer Balazs' approach is very effective. His explanations are clear. In addition, he adds comments in the code and verbally re-iterates the meaning of a code block. While this sounds like a small detail but it helps me to remember algorithm as the author slowly reads the comment while typing it. I noticed minor mistakes in the beginning of the course which doesn't affect the quality of material. I wasn't happy initially, but then I saw the rest of the course is all fine.

I know much of this material, but want to complete my knowledge. The speaker is clear and concise and easy to follow while integrating with prior knowledge. ON MOBILE. Too little space for code /shell screen. Lecture list could be smaller or offscreeen.

There is a lot of knowledge here great course. The instructor accent is a little hard but well worth purchasing the course. I don't have a degree in computer science where this stuff is studied in university so its great there is a course that covers theory!

Good content! Especially the backtracking and dynamic programming lectures were spot on! anyone who understands this course thoroughly can write recursive, backtracking and dynamic programming algorithms on their own for any given problems.

It's good. Sometimes, I find the instructor moves quickly and could spend more time explaining fundamental concepts that are complex. For example, it took me a long time to wrap my head around the concept of recursion. It's complex. The course provides lots of chances to use recursion, which is a great way to learn, but I wanted to understand the concept from the start. I found it complex to mentally keep track of different layers and their variables, and watched a number of YouTube videos to accelerate the process. Ultimately, I think the film Inception is a good analogy for climbing down into and out of recursive layers, and after reflecting away from the computer for an afternoon it started to sink in. The thing is, I think I'm actually pleased that the professor didn't spoon feed this. He did spend a few lectures explaining recursion, but I think an average smart person would need more than 20 min or so... so I spent half a day ripping apart his code and watching YouTube. Maybe I wouldn't have done that if he spent 2 hours using Inception as an analogy to spoon-feed recursion to students. My point is... this course is more frustrating than other Udemy courses, but I think I'm also more likely to spend more $$ on this type of course, and am enjoying it more than being spoon-fed. I've increased my rating from 4 to 4.5.

If you are new to programming and are interested in Operations Research, this is a good course to follow. This rating probably underrates the content he teaches, the effort put into these lectures are really appreciated and the content it self. But first of all to be honest, your accent makes it hard to concentrate so maybe try to work on that. Its really good that you go over topics in Operations Research. But you go over things quite fast and it would be better to do a step by step approach. Like a code along lecture, so you can build up to more difficult things. Furthermore, maybe implement some notebooks of exercises with a video of solutions to code along and have some explanations. Ill probably increase the rating by the end of the course.

The explanations were detailed and up to the mark, with concrete implementations of different problems. Overall, it was a great learning experience. This course, along with 'Data Structures and Algorithms in Python' can satisfy all the learning needs of programmers.

felt like prolems are more complicated in the explanation rather than being simplified. can say this because I have completed other similar courses as well. also, unable to understand the code mentioned in resources. hence unable to execute on my own, request your help for it.

This is good for beginner. Good explanation about the Neural Networks. I really like this course and recommend it to others.