Instruction was good, however assignments were a bit vague. Using Jupyter Notebook, while very convenient, isn't always the way people will use Python "in the field" (unless they're doing ML,of course).

the last homework is really hard and im trying since a week but my answers always get wrong. even i have consulted a tutor but i dont know what is the issue why all my answers gets wrong

It was a great course and really useful but, I have enrolled in another about python too. so things became complicated with me. but the overall course is useful. Thanks a lot

In the beginning, it is ok. But later there a lot of codes in the video just come out, the lecturer does not mention why and you have to google and learn it yourself.

This is a great course, however, it goes very fast, and going that fast, sometimes you don't get to have enough practice to actually learn all the concepts.

The code tests are hard to interpret, what exactly went wrong with the program. There's a lot of tests but it doesn't pinpoint which one failed.

The topics are interesting.

But the programming environment and homework do not always meet the topics presented in the video lessons.

This course is good for beginners, but the file i/o is not explained in detail and asked to solve big tough homework on file i/o.

Quite hard for a complete beginner to understand. Was doing well at the start but started to struggle from week 2.

the chasm between what you are taught and what you are expected to code is quite large.

Not an ideal course for a beginner. Have friend who know python before you start this

Overall an ok course. Need better debugging and support for course assignments.

Abysmally taught. Instructor only reads what is already being shown on slides, which is completely insufficient. While it was possibly to barely scrape by in basic lessons, once more complicated subjects began showing up, the lessons simply didn't explain concepts thoroughly enough. Examples provided were so basic they were utterly useless and inapplicable to the assignments, or some times completely misleading. Assignments contained blatant errors in identifying tags or in some cases such as quizzes, typos which changed the nature of the question entirely.

Subjects covered were interesting and engaging, but the teaching itself was among the worst I have experienced yet from a popular course on Coursera. Taking this specialization fully is viable only if one is willing to constantly be using outside resources to fill in the gaps left by the lessons.

The final project needs significant improvements in the clarity of the instructions and expectations. I was able to figure out a way through it but I spent the vast majority of my time trying to uderstand the instructions and expectations rather than building the code.

Bailed out at Module 1 Homework 1b Practice Writing. It is not a beginner course. Starts slow but then goes up in difficulty. If you have previously dabbled a bit in any form of programming or python then would be easier to follow.

The course covers the topic at lightening speed and then gives you a far more advanced level of computer programming assignment.

the last homework was i written the current code but the jupyter lab was having more problem please update this problem solution

This course was difficult to follow. The assignments were not intutitive and the platform was messy.

there is not enough detailed demonstration. the explanation would be more helpful

légèrement rapide , et les vidéos n'expliquent pas très bien les cours

The Python functions are not fully and clearly explained.

The instructions are utter crap and difficult to follow

Moves way to fast.