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

Overall this is a good intro course to OCR using python. I was looking forward to this from the get-go of the specialization and it feels that i'm walking away with some understanding of the capabilities and the possibilities. that's great. One comment regarding the presentation material - i thought the delivery was pretty dry. There was absolutely no difference between the oral and written material. this is in principle a good thing BUT not when there's info lacking. For instance we're at the PIL discussion and the comment is "I think that Image looks interesting"...well ok but why do you think that? what makes you think it's interesting. I've read the material first as per recommendation so I was hoping to get some insight as to why you chose one over any other...but nah. I don't know how difficult it would be for you to address this or you may choose to ignore it altogether but i've figured i should share since you're asking for feedback. There are a couple of things i've found fairly annoying and it would seem to me that they can easily be addressed. looking for image.zip for the last assignment -- I spent at least a couple of hours trying to find a copy of the image.zip file. I ended up downloading the py3.zip of 2 years ago or so. This is wasted time not time well spent. Why can this not be a link to the description of the assignment, meaning "go to the appropriate google share and download py3.zip", since the existing links to image.zip seem to be perpetually broken. Kraken does not run on Windows -- this came as a surprise; not your fault but it's important enough to be posted up front so folks with windows machines, like me, can get their setup going. it takes time to setup a docker container with the python development environment etc to make it useful.

I think this was a little too much for me to process, I wished it would be a little longer and slower, but overall its really good

Very badly taught. Actually he doesn't teach anything. He introduces you to some modules and says go read the rest, and do the project. Disappointing

For those who take this course with the completion of the specialization in mind, take note that the difficulty increase quite drastically for this course as compared to the other courses in this specialization. Also beware that this course has a more figure it out yourself rather than a guide approach to teaching and the lecture has a more read the script approach to it, at least we get to read the script for revision and play with the lecture code. Some may be out off by it, but i would say that this is better than other capstones or courses in Coursera, at least the instructions for coursework are clear and the coding environment for it work.... as compared to other more buggy approach in other courses... but beware the Jupyter thingy takes a long time to run your code...

Very interesting course on implementing the use of open source software. A bit challenging but still very doable.

poorly explained course. assignment instructions often times not clear.

As a beginner I found it quite difficult as compared to other courses in this series. I was expecting a lot more handholding and detailed explanation of the subject as it was done in the other courses in this otherwise great series. However I really enjoyed learning.

This course sucked at first because I didn't know my a**e from my elbow, but it's the same as anything else, you're expected to be ausonomous, inquisitive, and open to research outside of the course. It entailed a lot of digging around the web (considering my program building skill - or lack thereof -) and learning 90% of the info I needed on my own, but it's definitely worhtwhile as this is par for the course in the real world. All-in-all, a good course & definitely the steep learning curve you'll / I need to kickstart the ability required to design, create and implement Python programs. I'd strongly suggest asking Stephen Catto for his LinkedIn handle as well :-D Cheers.

Not much Detailed

The content of the exercises and labs is nice, labs are challenging enough and they force you to start getting into reading documentation and building your understanding on how to approach programming problems but the videos are usuless, 90% of the videos are the instructor reading exactly what is in the Jupyter Notebbok and nothing elses, feels like a waste of time. Also to note is that the person in charge of the Discussion Forum only replies to tell people what to or not to ask on the forums instead of helping the students, 90% of his answers tell people to stop asking the same question and he uses his time to tell them that instead of just helping them which I find useless.