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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/microsoft-python-programming-fundamentals
课程评论：没有评论
课程名称：Python编程基础 课程概述：该课程为您的Python编程旅程奠定基础。您将学习基本的Python语法、数据结构和控制流，同时练习调试和基本的代码优化技巧。 课程收益：打下扎实的Python编程基础，使您能够编写清晰、功能性强的脚本，并应对常见的编程挑战。 课程完成后，您将能够： - 使用变量、数据类型和运算符编写基本的Python程序。 - 实现控制流结构，以有效处理程序中的决策和重复任务。 课程大纲： 1. **Python入门**：介绍Python编程的基础概念，包括编程语言的角色，安装Python和Jupyter Notebook，写第一个“Hello, World!”程序，以及理解变量和基本操作。 2. **Python基础**：掌握控制流机制（条件语句和循环），学习如何使用列表等基本数据结构来存储和操作有序信息。 3. **函数和模块**：学习如何编写可重用和有组织的代码，理解函数和类的定义与用法，掌握代码重用的原则，并探讨内置函数和模块的使用。 4. **Python中的数据结构**：学习核心数据结构（列表、字典、集合）的选择和优化，通过实例和练习加深理解。 5. **错误处理和调试**：探索调试和错误处理的重要性，学习常见异常的识别和解决方法，以及系统化的调试技巧。 6. **测试基础与版本控制**：介绍软件测试和版本控制的基本知识，学习如何进行单元测试，掌握使用Git进行版本管理，并在GitHub上建立专业的项目组合。 通过本课程，您将逐步掌握Python编程的各个方面，打下坚实的基础并为后续的学习和实践做好准备。
Name:Introduction to Python
Description:Introduction to Python provides a comprehensive introduction to the world of Python programming. It begins by welcoming learners to the Microsoft Python Developer Certification program and providing an overview of the course structure and expectations. Learners are then introduced to the fundamental concepts of programming, including how computers interpret instructions and the role of programming languages. The module emphasizes Python's suitability for beginners due to its readability and versatility, showcasing real-world examples of its applications in web development, data science, and machine learning. Learners get hands-on experience by running a simple Python program and modifying it to understand basic syntax. The module also covers essential tools, guiding learners through the installation of Python and Jupyter Notebook, a popular Integrated Development Environment (IDE). Finally, learners take their first steps in coding by writing a "Hello, World!" program, exploring variables, data types, and basic operations. By the end of Module 1, learners gain a solid understanding of Python's capabilities and are equipped with the necessary tools and foundational knowledge to embark on their coding journey.
Name:Python basics
Description:Module 2, "Python Basics," provides a foundational understanding of core programming concepts in Python. Learners will first delve into the control flow mechanisms, mastering conditional statements (if, else, elif) to enable decision-making within their programs. They will then explore loops (for, while) to efficiently handle repetitive tasks and iterate through data. Through hands-on exercises and coding challenges, learners will gain practical experience in applying these concepts. The module also emphasizes the importance of organized data, introducing lists as a fundamental data structure for storing and manipulating ordered sequences of information. Learners will discover how to create, modify, and access list elements, building a strong foundation for managing data in their Python programs. By the end of this module, learners will be equipped to write Python code that executes logically and efficiently, incorporating both control flow structures and basic data organization techniques.
Name:Functions and modules
Description:Module 3 examines the core concepts of functions and modules in Python, providing learners with the skills to write reusable, organized, and efficient code. It starts by introducing functions as the fundamental building blocks of any Python program, explaining their syntax, and guiding learners to write their first function. The module then expands on this foundation by exploring classes as blueprints for objects and demonstrating how to define and instantiate them. The DRY (Don't Repeat Yourself) principle is emphasized, highlighting the importance of code reusability and how functions achieve this. Learners will also become familiar with Python's built-in functions and engage in hands-on activities to solidify their understanding. Moving further, the module explores the practical application of functions, including defining arguments, return values, and best practices for writing efficient and readable functions. Learners will gain experience in creating custom classes with attributes and methods, applying these concepts through coding exercises. The module then challenges learners to think like programmers by breaking down real-world problems into smaller, manageable functions, fostering modularity and code organization. Finally, the module broadens the learners' toolkit by introducing built-in and external modules, explaining how to import and utilize them effectively. Learners will explore popular libraries for various tasks and gain proficiency in managing packages with pip, the Python package installer. The module culminates with a hands-on challenge where learners create their own module, demonstrating their comprehensive understanding of the concepts covered.
Name:Data structures in Python
Description:This module provides a comprehensive introduction to data structures in Python, focusing on their practical application in real-world scenarios. Learners will explore fundamental data structures like lists, dictionaries, and sets, understanding their unique properties and use cases. Through hands-on exercises and engaging examples, they will develop the skills to select, create, manipulate, and optimize data structures for various programming tasks. The module also delves into algorithms, specifically sorting and searching, demonstrating how they interact with data structures to solve problems efficiently. By the end of this module, learners will be proficient in utilizing data structures to organize, manage, and process information effectively in their Python programs.
Name:Error handling and debugging
Description:This module explores the crucial skill of debugging and error handling in Python. Learners will begin by understanding the nature of exceptions, those pesky red flags that signal problems in code. They'll explore common Python exceptions, learning to identify their causes and implement solutions. The module then introduces a variety of debugging techniques, from the simplicity of print statements to the power of interactive debuggers. Learners will gain hands-on experience with these tools, stepping through code, inspecting variables, and pinpointing errors. The concept of exception handling is then demystified, with the try-except block taking center stage. Real-world examples illustrate how to gracefully handle errors and prevent program crashes. Finally, the module emphasizes a systematic approach to debugging, guiding learners to become effective code detectives. They'll learn to analyze error messages, utilize online resources, and adopt strategies used by seasoned developers.
Name:Testing basics & version control
Description:This module provides a crucial introduction to software testing and version control, essential skills for any aspiring Python developer. Learners will first delve into the world of unit testing, understanding its importance in ensuring code quality and reducing errors. They will explore the pytest framework, learning how to write and execute tests effectively. The module then shifts focus to version control with Git, teaching learners how to track changes, collaborate seamlessly, and manage their codebase efficiently. Finally, learners will apply this knowledge to build a professional portfolio on GitHub, showcasing their skills and projects to potential employers. This module emphasizes hands-on learning through demos, activities, and practical exercises, ensuring learners gain a solid understanding of these fundamental concepts.
Description: This course lays the groundwork for your Python programming journey. You'll learn essential Python syntax, data structures, and control flow, while practicing debugging and basic code optimization techniques. Benefits: Gain a solid foundation in Python programming, enabling you to write clean, functional scripts and tackle common programming challenges. By the end of this course, you'll be able to: • Write basic Python programs using variables, data types, and operators. • Implem
