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.
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.
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
来自PYTHON DATA ANALYSIS的热门评论
Important concepts covered - including dictionaries and data structures. Useful in developing a basic foundation and understanding of Python.
Great Course !\n\nSpecially the project at the end uses some really powerful code, combining all that we had learnt throughout the course
This is an excellent program. I have written most complicated and exciting Python programs, I have ever thought that I could write!
A tough course (not for the fainted of heart). I love baseball and the application of the baseball data is useful for me !
Excellent course that covers a good balance of Python fundamentals and problem solving skills.\n\nHighly recommended.
It's fantastic learning opportunity, well taught, covered almost everything.Baseball project is cherry on the cake.
Instructions on the final were not as clear as the rest of the course, but the information given is worthwhile
The reading and writing file csv file part is difficult, especially reading data into dictionary part.
关于 Introduction to Scripting in Python 专项课程