This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.
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About this Course
최근 조회 24,424회
학습자 경력 결과
67%
이 강좌를 수료한 후 새로운 경력 시작하기
60%
이 강좌를 통해 확실한 경력상 이점 얻기
학습자 경력 결과
67%
이 강좌를 수료한 후 새로운 경력 시작하기
60%
이 강좌를 통해 확실한 경력상 이점 얻기
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 4개 강좌 중 3번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 13시간 필요
권장: This is a four week class with an expected workload of 5-7 hours per week.
영어
자막: 영어
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 1시간 필요
Dictionaries
This module will teach you about Python's dictionary data type and its capabilities. Dictionaries are used to map keys to values within programs.
완료하는 데 1시간 필요
7개 동영상 (총 45분), 2 readings, 1 quiz
7개의 동영상
Welcome!2m
Class Structure4m
Python Dictionaries5m
Defining a Dictionary6m
Dictionary Lookup and Update8m
Checking Keys8m
Handling Dictionary Errors8m
2개의 읽기 자료
Dictionaries - Example10m
Practice Exercises for Dictionaries10m
1개 연습문제
Dictionaries14m
완료하는 데 1시간 필요
Tabular Data and Nested Data Structures
This module will teach you about storing tabular data within Python programs using lists and dictionaries.
완료하는 데 1시간 필요
4개 동영상 (총 32분), 2 readings, 1 quiz
4개의 동영상
Tabular Data as a Nested List10m
Tabular Data as a Nested Dictionary9m
Displaying Dictionaries5m
2개의 읽기 자료
Tabular Data10m
Practice Exercises for Nested Data Structures10m
1개 연습문제
Nested Representations for Tabular Data14m
완료하는 데 4시간 필요
Tabular Data and CSV Files
This module will teach you the basics of CSV files and how to read them from Python programs. We will discuss the use of Python's csv module to help you access tabular data in CSV files.
완료하는 데 4시간 필요
8개 동영상 (총 66분), 4 readings, 2 quizzes
8개의 동영상
Parsing CSV Files6m
Python's CSV Module7m
CSV DictReader10m
CSV Reader Options9m
Experimenting with CSV Methods - Part 18m
Experimenting with CSV Methods - Part 27m
Project Video for Part 19m
4개의 읽기 자료
CSV Files10m
Practice Project: Loading Cancer-Risk Data10m
Project Description: Reading and Writing CSV Files10m
OwlTest: Automated Feedback and Assessment10m
완료하는 데 2시간 필요
Organizing Data
This module will teach you how to sort data in Python. You will organize and analyze tabular data.
완료하는 데 2시간 필요
6개 동영상 (총 53분), 3 readings, 1 quiz
6개의 동영상
Sorting7m
Lambda9m
Advanced Sorting5m
Refactoring Your Code - Part 17m
Refactoring Your Code - Part 27m
Project Video for Part 215m
3개의 읽기 자료
Dictionaries vs. Lists for storing data10m
Practice Project: Processing Cancer-Risk Data10m
Project Description: Analyzing Baseball Data10m
검토
4.7
PYTHON DATA ANALYSIS의 최상위 리뷰
J 제공Jan 29, 2019
Important concepts covered - including dictionaries and data structures. Useful in developing a basic foundation and understanding of Python.
VS 제공Nov 1, 2019
Great Course !\n\nSpecially the project at the end uses some really powerful code, combining all that we had learnt throughout the course
JP 제공Aug 23, 2018
This is an excellent program. I have written most complicated and exciting Python programs, I have ever thought that I could write!
PP 제공May 10, 2019
A tough course (not for the fainted of heart). I love baseball and the application of the baseball data is useful for me !
PD 제공Dec 26, 2017
Excellent course that covers a good balance of Python fundamentals and problem solving skills.\n\nHighly recommended.
DR 제공Aug 3, 2018
It's fantastic learning opportunity, well taught, covered almost everything.Baseball project is cherry on the cake.
JG 제공Jan 14, 2019
Instructions on the final were not as clear as the rest of the course, but the information given is worthwhile
BY 제공Oct 5, 2018
The reading and writing file csv file part is difficult, especially reading data into dictionary part.
DP 제공Sep 3, 2019
This course is great one to provide you the fundamental concepts of python scripting.
JD 제공Aug 5, 2018
De mucha utilidad, permite ver la gran variedad de funciones que dispone Python.
ZC 제공Nov 25, 2019
Good course. But for csv nowadays everyone use pandas. Should update the course.
AY 제공Jul 26, 2018
Great teachers I must say!\n\nLearned many new things and cool teachers!
TH 제공Jun 7, 2018
A challenging, but well constructed sequel to the rest of the sequence.
YZ 제공Jun 25, 2018
Good course! I am a beginner and I learned a lot through this course.
AJ 제공Jun 23, 2019
this is quite difficult and very hard than the last one
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라이스 대학교
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
Introduction to Scripting in Python 전문 분야 정보
This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.
자주 묻는 질문
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이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.
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