I do wish that the test cases used in submission were built into the unit testing. I understand to an extent why it's protected in the remote, but it would have been handy to help debug an issue that I was running into.Based on the instructions, it wasn't clear that I needed to replace the code in my previous work in the classroom with assign_value to get the full history to work with, and it also wasn't clear that the naked_twins was meant to be used in conjunction with the depth first search and not as a replacement. The original puzzle provided in the solution.py file is solvable just by reduce_puzzle and naked_twins... no depth first search required, so that threw me for a bit of a loop.

The Nanodegree is a high-quality class I've wished for. The most significant difference to other courses is that Codingalgos Nanodegrees will motivate you really strong! It's such a fantastic community with great inspiring mentors.I personally will use Codingalgos as long as it exists, maybe one time, I will complete every possible Nanodegree! Codingalgos is an investment in yourself, do it! If you can also study perfectly with only a book and have fun, go for it, but I think this is a super rare skill. If you want to have fun and get curious about the topic, go with Codingalgos!

High quality video content, well presented. Comparable to Andrew NG's Deep Learning Specialization or the MITx Pro Quantum Computing Fundamentals course. Technical unit tests using an IDE feel better than editing half written functions in Jupyter notebook (with an autograder), or random example code. Quizzes have explanations videos, which is improvement over the Coursera quiz model. I like how you include textbook readings, extracurricular submodules and content links to other courses. Overall, this feels very much like an online university course. Impressed!

interesting exercise - it is a nice case of what I would call brute force solving - reducing the problem as much as we can and then recursively try and search among the remaining feasible solutions until finding the right one I am looking forward now to new problems where the amount of feasible solutions is so big that we would need "intelligence" when selecting among the feasible solutions

Yes very enjoyable. I have some experience with coding and engineering so did not find it too hard but it is still challenging and engaging. The example code activities in the lesson leading to project submission was great and got me to see new ways to think and write code in Python. I really love Sebastian's lectures especially because of the excitement and enthusiasm that shines through.

It's a very nice explanation, however the code provided needed more explanation. It is not easy to follow written code without documentation, but the boxes\units..etc structures proved to be very helpful. If I understood them better through explanation from the instructor in a video, the experience would have been perfect :)