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.
이 강좌는 Python 3 Programming 전문 분야의 일부입니다.
Python Functions, Files, and Dictionaries
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About this Course
최근 조회 344,030회
학습자 경력 결과
25%
이 강좌를 수료한 후 새로운 경력 시작하기
20%
이 강좌를 통해 확실한 경력상 이점 얻기
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 5개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 32시간 필요
영어
자막: 영어, 베트남어, 한국어
학습자 경력 결과
25%
이 강좌를 수료한 후 새로운 경력 시작하기
20%
이 강좌를 통해 확실한 경력상 이점 얻기
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 5개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 32시간 필요
영어
자막: 영어, 베트남어, 한국어
제공자:
미시건 대학교
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 6시간 필요
Files and CSV Output
In week one the video lectures and the Runestone textbook will introduce you to the idea of incorporating files into your programs as an additional source of data. You will learn how to read from a file, write to a file, and how to work with the .csv data format.
완료하는 데 6시간 필요
14개 동영상 (총 88분), 14 readings, 3 quizzes
14개의 동영상
Welcome to Python Functions, Files, and Dictionaries2m
How to Use the Interactive Textbook14m
Introduction: Files1m
Reading a File9m
Finding a File in Your File System6m
Writing to a File7m
Using With to Open Files5m
Conclusion: Files1m
Introduction: .csv Format3m
Reading a .csv File8m
Writing Data to a .csv File10m
Tips on File Naming2m
Conclusion: .csv Format1m
14개의 읽기 자료
Syllabus10m
Help Us Learn More About You!10m
Introduction: Working with Data Files10m
Reading a File10m
Alternative File Reading Methods10m
Iterating Over Lines in a File10m
Finding a File in your File System10m
Writing to a File10m
Using With to Open Files10m
Recipe for Reading and Processing a File10m
CSV Format10m
Reading a .csv File10m
Writing Data to a .csv File10m
Tips on Handling Files10m
1개 연습문제
Optional - What Did You Use to Practice This Week?4m
완료하는 데 6시간 필요
Dictionaries and Dictionary Accumulation
In week two the video lectures and the Runestone textbook will focus on a new data type, dictionaries. You will be introduced to the mechanics of dictionaries and then get practice using them in accumulation patterns, both to build a dictionary using the pattern as well as find the best, or worst, result using the pattern.
완료하는 데 6시간 필요
10개 동영상 (총 77분), 9 readings, 4 quizzes
10개의 동영상
Demonstration: Dictionary Basics4m
Dictionary Operations7m
Dictionary Methods12m
Demonstration: Dictionary Methods3m
Aliasing and Copying with Dictionaries3m
Dictionary Accumulation13m
Demonstration: Dictionary Accumulation5m
Accumulating Results From a Dictionary12m
Demonstration: Accumulating Results From a Dictionary7m
9개의 읽기 자료
Introduction: Dictionary Learning Goals10m
Introduction: Dictionaries10m
Dictionary Operations10m
Dictionary Methods10m
Aliasing and Copying10m
Introduction: Accumulating Multiple Results in a Dictionary10m
Accumulating Results From a Dictionary10m
Accumulating the Best Key10m
When to Use a Dictionary10m
1개 연습문제
Optional - What Did You Use to Practice This Week?4m
완료하는 데 8시간 필요
Functions and Tuples
In week three you will be introduced to the construction of functions. Up to this point, you have used functions in the programs before, but have not had a chance to write your own functions, including how to define a function, how to incorporate parameters, how to return data from a function, the local or global scope of variables, and potential side effects that could occur from function execution. Finally, we look at tuples more in depth, and how automatic packing and unpacking of tuples can be used in functions and in for loops.
완료하는 데 8시간 필요
16개 동영상 (총 81분), 19 readings, 4 quizzes
16개의 동영상
Defining Functions5m
Positional Parameter Passing6m
Returning Values12m
Way of the Programmer: Decoding a Function4m
A Function that Accumulates8m
Conclusion: Functions59
Introduction: Variable Scoping and Side Effects48
Local and Global Variables9m
Function Composition10m
Mutable Objects and Side Effects5m
Conclusion: Variable Scoping and Side Effects1m
Introduction: Tuple Packing and Unpacking40
Tuple Packing3m
Tuple Assignment with Unpacking8m
Conclusion: Tuple Packing and Unpacking39
19개의 읽기 자료
Introduction to Functions10m
Function Definition10m
Function Invocation10m
Function Parameters10m
Returning a Value from a Function10m
Decoding a Function10m
A Function that Accumulates10m
Local Variables10m
Global Variables10m
Function Composition10m
Flow of Execution Summary10m
Print vs. Return10m
Passing Mutable Objects10m
Side Effects10m
Introduction10m
Tuple Packing10m
Tuples as Return Values10m
Tuple Assignment with Unpacking10m
Unpacking Into Iterator Variables10m
1개 연습문제
Optional - What Did You Use to Practice This Week?4m
완료하는 데 6시간 필요
More Iteration and Advanced Functions
In week four the video lectures and the Runestone textbook will outline a more advanced iteration mechanism, the while loop. You will be introduced to using it when getting feedback from users, as well as applying it to the turtle module to draw images. Additionally, you will also be exposed to more advanced function concepts such as the idea of parameters being optional, not required, and anonymous functions using lambda.
완료하는 데 6시간 필요
7개 동영상 (총 49분), 10 readings, 4 quizzes
7개의 동영상
The Listener Loop7m
Break and Continue5m
Way of the Programmer: Infinite Loops4m
Optional Parameters4m
Keyword Parameters7m
Anonymous Functions with Lambda Expressions5m
10개의 읽기 자료
Introduction10m
The While Statement10m
The Listener Loop10m
Randomly Walking Turtles10m
Break and Continue10m
Infinite Loops10m
Introduction: Optional Parameters10m
Keyword Parameters10m
Anonymous Function with Lambda Expressions10m
Programming With Style10m
1개 연습문제
Optional - What Did You Use to Practice This Week?4m
검토
4.8
PYTHON FUNCTIONS, FILES, AND DICTIONARIES의 최상위 리뷰
SG 제공Sep 15, 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
DN 제공Jan 28, 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.
JF 제공Jan 2, 2020
Final project in this course though a bit difficult was satisfying to complete. University of Michigan has the best online teaching program for Python using the Runestone interactive textbook.
BA 제공Nov 6, 2019
The course met all my expectations and went beyond. The instructors' explanations were easy to understand and the innovative method of having a digital textbook was undoubtedly convenient.
RG 제공Jan 5, 2020
I had wonderful experience learning Python from Coursera. The chapters and practice questions are well organized. It helps to apply concepts and I feel confident to write code in python
MS 제공Jul 12, 2019
Great course. Loved the dad jokes. Good pace. I'd recommend a little bit of extra practice before the final project as it deals with material that may already have been forgotten.
AS 제공Jun 2, 2019
The instructors presentation is clear and concise. The pace is perfect for beginners in Python and the exercises and practice questions help reinforce the content in the course.
AS 제공Aug 15, 2019
its amazing learn for beginner . i am very thank full coursera and michigan family . but your support not easy possible to learn python.........so very very thank you
YF 제공Jun 26, 2019
Good materials. Just that grading peer's assignments seems not so attractive. Not much one can learn from doing so. A simulated code review case will be more fun.
DL 제공Oct 6, 2019
Great continuation of the first course. Clear, well-ordered lectures and practice-problems/exercises. Especially like the textbook as a companion to the lectures.
LD 제공Aug 8, 2019
This course will teach you how to write simple functions, how to work with dictionaries and files. And there are some good dad jokes in there as well. 5 out of 5
MK 제공Jul 2, 2019
Great Course! Awaiting more courses from University of Michigan.\n\nThey deliver with real fluency and great interaction.\n\nThank you for everything!
JK 제공Dec 10, 2019
The final assignment is challenging but is just right. The prior materials prepare you well for the challenge ahead. I thoroughly enjoyed the course.
OU 제공May 4, 2019
One of the best courses I have taken so far on programming. Well organized and detailed explanation with much challenging tasks to work through.
SA 제공Jun 3, 2019
Love how the course is structured. Each video teaches one aspect of python with coding practice at the end of each video. Highly recommended!
TL 제공Sep 23, 2019
Great course for extending your basic Python skills.\n\nI am much more comfortable working with files and complex sorting after this course.
RS 제공Aug 23, 2019
The opportunity to do the hands-on exercises within the accompanying notebook is a very useful feature and it instills the confidence.
MN 제공Jan 4, 2019
This is the course to do because it makes use of spaced repetition learning - scientifically proven to be the best for recollection.
OH 제공Feb 2, 2020
Great follow-up on the first course. The final assignment is far more complex (as in having multiple stages) but still manageable.
GT 제공Mar 26, 2020
A great basic course for any python beginner. Clear video explanations and very useful exercises to practice what you have learnt
Python 3 Programming 전문 분야 정보
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.
You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.
By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.
This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.
But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.
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