Об этом курсе: 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. By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.
Для кого этот курс: This class is for people who have have the background from our Python Data Representations course.
Преподаватели: Scott Rixner, Professor
Computer Science
Преподаватели: Joe Warren, Professor
Computer Science
| Основные сведения | Course 3 of 4 in the Introduction to Scripting in Python Specialization |
| Уровень | Beginner |
| Выполнение | This is a four week class with an expected workload of 5-7 hours per week. |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
- Видео: Welcome!
- Видео: Class Structure
- Видео: Python Dictionaries
- Видео: Defining a Dictionary
- Видео: Dictionary Lookup and Update
- Видео: Checking Keys
- Leyendo: Dictionaries - Example
- Видео: Handling Dictionary Errors
- Leyendo: Practice Exercises for Dictionaries
- Видео: Iteration over Dictionaries
- Leyendo: Tabular Data
- Видео: Tabular Data as a Nested List
- Видео: Tabular Data as a Nested Dictionary
- Видео: Displaying Dictionaries
- Leyendo: Practice Exercises for Nested Data Structures
- Видео: Tables and CSV Files
- Leyendo: CSV Files
- Видео: Parsing CSV Files
- Видео: Python's CSV Module
- Видео: CSV DictReader
- Видео: CSV Reader Options
- Видео: Experimenting with CSV Methods - Part 1
- Видео: Experimenting with CSV Methods - Part 2
- Leyendo: Practice Project: Loading Cancer-Risk Data
- Видео: Project Video for Part 1
- Leyendo: Project Description: Reading and Writing CSV Files
- Leyendo: OwlTest: Automated Feedback and Assessment
- Elemento LTI: Project Submission History
- Видео: Sorting
- Видео: Lambda
- Видео: Advanced Sorting
- Leyendo: Dictionaries vs. Lists for storing data
- Видео: Refactoring Your Code - Part 1
- Видео: Refactoring Your Code - Part 2
- Leyendo: Practice Project: Processing Cancer-Risk Data
- Видео: Project Video for Part 2
- Leyendo: Project Description: Analyzing Baseball Data
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
Very good course. Thorough and detailed explanation of all concepts. Course takes you smoothly from beginner level to the very end. Amazing how much can be learned in this course. The learning curve is gradual so make sure you follow instructions and complete all the practice assignments in order. Definitely worth the time.
Great practice materials!
good course
Super useful!