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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/codio-python-basics
课程评论：没有评论
课程名称：《Python基础：选择与迭代》 课程概述：在几分钟内编写并运行您的第一个Python程序，无需安装任何东西！该课程专为没有编程经验的学习者设计，提供了扎实的Python基础，还涵盖可转移至其他语言的计算机科学核心主题。课程模块内容包括打印、运算符、迭代（循环）和选择（条件语句）。 为了提供真正动手操作的自学体验，课程不包含视频。作业包括简短的解释、图片和可运行的代码示例，并建议进行代码示例的进一步探索，通过实践加深理解。学习者可以通过多种评估项目获得即时反馈，逐步从快速理解检查（选择题、填空题和打乱代码块）进展到小而易于操作的编码练习，这些练习只需几分钟，而不是几个小时。 课程大纲： 1. **基础 - 编写您的第一个程序！** - 描述：欢迎来到《Python基础：选择与迭代》课程的第一周。此模块涵盖打印、变量和注释的概念，最后有实验和评分编程练习。 2. **运算符** - 描述：欢迎来到课程的第二周。此模块涉及算术运算符（+、-、*、/和%）和布尔运算符（与、或、非），用于操作存储在变量中的数据，最后有实验和评分编程练习。 3. **条件语句** - 描述：欢迎来到课程的第三周。此模块涵盖使用条件语句进行决策的概念，以使您的脚本根据数据产生不同的输出，最后有实验和评分编程练习。 4. **循环** - 描述：欢迎来到课程的第四周。此模块讨论不同类型的循环，以便在不重复编写相同代码行的情况下，重复程序的部分内容，最后有实验和评分编程练习。 通过这门课程，学习者将获得Python编程的基本技能，并为进一步的学习奠定坚实的基础。
Name:Fundamentals - Writing your first program!
Description:Welcome to Week 1 of the Python Basics: Selection and Iteration course. These assignments cover the concepts of printing, variables, and comments. The module ends with a lab and graded coding exercises.
Name:Operators
Description:Welcome to Week 2 of the Python Basics: Selection and Iteration course. These assignments cover the concepts of arithmetic operators (+, -, *, /, and %) and boolean operators (and, or, not) to manipulate data stored in variables. The module ends with a lab and graded coding exercises.
Name:Conditionals
Description:Welcome to Week 3 of the Python Basics: Selection and Iteration course. These assignments cover the concepts of making decisions using conditionals so your script can produce different output based on data. The module ends with a lab and graded coding exercises.
Name:Loops
Description:Welcome to Week 4 of the Python Basics: Selection and Iteration course. These assignments covers the different types of loops to repeat sections of your program without copying-and-pasting the same lines over-and-over again. The module ends with a lab and graded coding exercises.
Code and run your first python program in minutes without installing anything! This course is designed for learners with no coding experience, providing a solid foundation of not just python, but core Computer Science topics that can be transferred to other languages. The modules in this course cover printing, operators, iteration (i.e., loops), and selection (i.e., conditionals). To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours.
