This course is designed to equip learners with a foundational and functional understanding of Python programming through the progressive exploration of core logic and data-handling structures. Through real-world examples and carefully sequenced lessons, students will learn to apply control flow, construct efficient loops, evaluate Boolean logic, and manipulate complex data collections like dictionaries and lists.

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该课程共有3个模块
This module introduces learners to one of Python’s most powerful built-in data structures—the dictionary. Starting with foundational concepts such as syntax and creation, the module gradually explores more complex operations like nested dictionaries and key-based data manipulation. Through practical demonstrations and examples, learners will gain confidence in using dictionary methods, updating values, and applying built-in functions to solve real-world problems. By the end of this module, learners will be proficient in storing, retrieving, and managing data using Python dictionaries efficiently and effectively.
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10个视频4个作业
This module introduces foundational programming constructs that are critical for writing structured and logical Python code. Learners will explore essential concepts such as using the print() function, importing modules, assigning variables, structuring code with proper indentation, and working with conditional logic and Boolean values. As the lessons progress, the module delves into more complex conditions and the use of assertions to validate program behavior. Through practical explanations and contextual examples, learners will develop a strong base to write robust, readable, and logically sound Python programs.
涵盖的内容
9个视频4个作业
This module provides learners with a practical understanding of iteration structures and data manipulation techniques in Python. Beginning with foundational looping mechanisms, it builds toward deeper insights into how iterative logic supports repeated operations, conditionally and efficiently. Learners explore Python’s while and for loops, understand iteration principles, and discover the usefulness of the pass statement as a syntactic placeholder. The module then transitions to Pythonic constructs like list comprehensions, showcasing how they streamline the creation of new lists from existing sequences. Finally, the process of cleaning up data and managing memory through deletion operations is explored. This module empowers learners to write clean, efficient, and readable iterative code in Python.
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6个视频3个作业
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显示 3/11 个
已于 Oct 30, 2025审阅
Learners appreciated how it strengthened both logic and problem-solving skills effectively.
已于 Dec 4, 2025审阅
Instead of just teaching syntax, the lessons push you to understand how to think through a problem. Lots of small logic exercises help sharpen analytical skills.
已于 Jan 1, 2026审阅
Great for understanding logic step by step






