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

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Reviews and Ratings

4.0

1,596 Ratings from Coursera

Reviews

Great final
It's very interesting the assignment and the final project. But maybe you should think of changing the Jupiter notebook. It doesn't work correctly very often.
Should have been a more detailed lecture. Covering things more slowly.
Not enough practices, instead of many lectures and a quite difficult assignment at the end. It gives the impression that Coursera sets challenges that are quite difficult so you are forced to pay another moth in order to finish. Additionally not enough support on the installation of the libraries, so far nobody helped me to install de library Kraken in Ubuntu. In practical terms, you need to be hooked to Coursera server in order to code.
This course is a disgrace. The questions at hand are poorly explained and you are expected to invest a lot of time researching yourself and then even more time to find the right parameters by trial and error. The jupyter notebook environemnt where you are supposed to do the final assignment is not fast enough to run the code in a reasonable amount of time, so most time is wasted waiting. All this is contradicting the reason, as to why i am doing these courses. I am working full time. I do not have the time to search for everything myself. If you need this course for the specialisation, i advice you to download python and the necessary modules to do the assignement on you own pc. This seriously speeds everything up.
Not as great as previous courses... :(
This course is a little difficult as compared to the previous courses in this specialization. The instructor does not help you much, but puts out hints and clues at times. Having said that, this is like a typical real world project, where you may have to read through the documentation of various libraries and learn how to use them. Overall, I would say that though this course does not meet the standards of the previous four courses, I personally found it to be useful and challenging! For those who are not aware how to work with complex Python libraries, the assignments could be difficult. Good luck!
The Peer-review project is not well designed. The instruction about what to submit is misleading. Students are confused about what to submit, uploading a PDF like before, or pasting the whole HTML file? This becomes clear only after you submit and start to review peer's submission. Students are supposed to copy and paste their code into the submission window. But there is a BIG problem of this approach. The pasted code lose all the formatting, and python relies on formatting. Even if I want to copy a peer's codes and try to run them in Jupyter, the codes are all messed up. There is no way to figure out what my classmate wants to do.
Было сложно, но этот блок курса учит самостоятельно разбираться в модулях.
Thank you! It is great

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