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Вернуться к Python Functions, Files, and Dictionaries

Отзывы учащихся о курсе Python Functions, Files, and Dictionaries от партнера Мичиганский университет

Оценки: 1,438
Рецензии: 202

О курсе

This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course. The course is well-suited for you if you have already taken the "Python Basics" course and want to gain further fundamental knowledge of the Python language. Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs. This is a follow-up to the "Python Basics" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization....

Лучшие рецензии


Sep 16, 2019

It's amazing learn for beginner .A wonderful learning resource and very simple way explains everything . Excellent lessons ,check your understanding ,e-book ,practice, and quiz work and lot of thing


Jan 29, 2020

Great follow-on from the basics with essential information. Well constructed series, well presented lessons, with great practice questions. I feel a big step closer to writing useful python code.

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151–175 из 203 отзывов о курсе Python Functions, Files, and Dictionaries

автор: James C

Nov 04, 2019

Great course!

автор: Khalid S

Jan 24, 2019

Great Course!

автор: Bing Z - B

Mar 01, 2020

Great course

автор: Guillermo H K

Nov 03, 2019

Great course

автор: Wood Z

Aug 16, 2019

very helpful

автор: Akhil P

Mar 29, 2019

Great Course

автор: Bensaid O

Mar 22, 2019

very helpful

автор: Paul L

Feb 18, 2019

Great Course

автор: Olga U

Nov 30, 2019

enjoyed it!

автор: Jose H C

Oct 20, 2019


автор: Киба В Ю

Apr 06, 2019

it is great

автор: Ziqi W

Apr 02, 2019

That's good

автор: WeiDong

Mar 21, 2019

nice course

автор: Juan C A

Mar 11, 2019


автор: April X

Feb 28, 2019

Nice class

автор: Chowdhury M M R

Aug 25, 2019

very good

автор: Tammireddy S

Aug 12, 2019


автор: Carlos F C d S e S

Mar 04, 2020


автор: Shubhra B G

Jul 10, 2019


автор: Nahim O

Nov 20, 2019


автор: Vinay M

Sep 09, 2019


автор: Dao X H

Jul 06, 2019


автор: Hongyi P

Apr 04, 2019


автор: Sourav C

Oct 06, 2019

I find this course very useful. Only one observation -

At the end of this course, it is asking for sentiment analysis, where you need to upload csv file to excel or google drive and then needs to generate scatter plot. How to do this is need explained anywhere in the course. Moreover, required libraries to perform this activity is not present in coursera and I have to install Python Anaconda and using Jupyter notebook, I could able to generate this scatter plot. How to process csv file to generate scatter plot, I have search in google and learn it outside this course.

автор: Christopher M

Oct 05, 2019

This course is extremely well organized and offers not only a lot of practical programming tools, but the best practices for implementing them successfully. Unfortunately, a lot of the assignments (including the last assignment) depend on files that the learner can't actually access, so some of the assignments are painfully tedious with a lot of guess-and-check work to figure out how the theoretical file is formatted. That said, the extra challenge does make you think more critically about your debugging options and the course as a whole is definitely worth it.