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

This course requires additional knowledge, require the student to find information online or other methods. The projects are creative and interesting but I hope the description and the requirements could be more detailed.

best of the best

A better way to submit the code for the last project is needed.

good

Honestly, after taking the first 4 courses from the specialization, I had high hopes from this course as well but the content doesn't seem up to the mark. The pace is really fast and not much explanation is provided should have been better considering the simplicity with which concepts were taught in the first 4 courses.

not worth the Money, i am a bit disapointed. but still learned much but not because of the course instructions.

There are significant problems with processing and submitting the capstone project; the Coursera Jupyter notebook runs out of memory when working on a particular file (U Mich, you might want to simply reduce some of the image sizes). In addition, the submission process doesn't work without linking outside to a google drive or something of the kind. The information, though, was excellent, and I'm happy I've completed the whole specialization. Course 3/5 for the reasons listed above (they're quite frustrating) specialization 5/5.

This course, the fifth and final in the specialisation, feels like a rushed job. Quite disappointing given this was the supposed climax of the specialisation.

The gist of the course is excellent, but challenging - the instructor doesn't hold your hand through every step this time. You're pointed at some relevant Python library modules and given an overview of the basics for them with examples, but you'll have to spend a lot of time reading documentation and figuring out what to do with them. That's okay, because as Professor Brooks points out throughout the course, the idea is for you to get a taste of how you'd need to work going forward. This is a new course, so there are still a few rough spots, but it's being actively corrected as problems surface, and I am confident in saying that if you follow the course and do all the work, you'll have developed some hands-on experience!

Really this is awfull course. I finished other courses of the specialization and waited untill this course is ready. So I just audit the materials of the course. And I have no the least intention to pay for subscription about $50 just to get course certificate and specialization certificate. I'll cannot respect myself after that if I'll do so. The lections are terrible! There you can see the lector himself verbally explaining something without any hint of slides or other auxiliary visual materials and spelling (!) (:facepalm:) the commands to write in the terminal. Or you can see the scrolled IPython Notebook with the voice of the lector that is reading word-to-word(!) the comments from notebook (:facepalm:). Probably for the case if you have difficalties with reading yourself. By the way, video and audio in the the lections of second type are poorly synchronized. And at least for the one lection they were recorded separately because in video are shown one version of library while the voice speaks about other version! Also the lections practically do not give you knowledge about PIL, Tesseract and OpenCV. It is suggested that you will learn yourself from documentation, google and sourse code (!) (:facepalm:). Why then should I spare my time on this course and pay for subscription? I can learn myself in this way without this course.