Ratings and Reviews for Python Project: Software Engineering and Image Manipulation

The Python 3 Programming Specialization was excellent overall, with very precise execution in delivering the relevant concepts. In this final course Professor Brooks delivered an outstandingly articulate and thoughtfully structured high level overview of the software architecting process, basics behind computer images, fundamental tools in the Python Imaging Library and OCR with Tesseract and overview of Jupyter widgets. His personal experience and passion in this area was clear and added appeal to the teaching. The concept for the three module projects, and how each one successively built on those previous is a very solid approach. I appreciate that they were purposely and progressively less structured, adding some challenge and struggle to complete. I think that's appropriate for the capstone course in the series, bringing with it a degree of real world authenticity. I look forward to completing several more U of M offerings on Coursera in the near future.

Thanks to the professors here for the quality course series

чума

Excellent course! TY

Изучая этот курс я получил для себя новие знания и опыт!!

exellent

This course and the program specialization that this is part of, are absolutely the best course I've taken on Coursera. The instructors have put their heart into this and it shows! I have coded in Python for over 2 years (from data manipulation, ETL pipelines to simple web apps) and I simply wanted to take this course as a pre-requisite for a graduate program application. Boy I learned a lot! I'm really glad I took it and wish I had taken it years ago.

Marking issues

Fantastic Capstone Project. Project forces you to learn image processing techniques and teaches you a lot about OCR, its limitations and how to work around them.

is a course to recommend