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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-programming-fundamentals-tm/
课程评论：没有评论
课程名称：Python编程基础 TM 课程概述： 本课程介绍了Python编程语言的基础知识，涵盖其历史、特性以及如何在计算机上设置Python环境。课程分为几个部分，逐步引导学习者掌握Python的基本概念和应用。 1. **Python简介** - 了解Python的基本概念、历史和优势。 - 学会在计算机上安装Python并编写执行第一个程序。 2. **Python库** - 探索Python库的生态系统，学习如何使用标准库和第三方库。 - 了解如何通过pip安装和管理库，熟悉流行库如NumPy和Pandas。 3. **Python编程基础** - 学习Python的核心语法和编程构造，包括变量、数据类型和基本输入输出。 - 能够使用变量和数据类型编写基本程序。 4. **Python编程基础（第二部分）** - 深入了解控制流和循环，包括条件语句和for、while循环。 - 使用条件语句实现代码中的决策，利用循环执行重复任务。 5. **Python中的数据结构和函数** - 学习基本数据结构（如列表、元组、字典）和函数的定义与使用。 - 实现数据存储和操作，编写模块化、可重用的代码。 6. **Python中的数据结构和函数（第二部分）** - 探索更高级的数据结构操作和函数概念，如列表推导式和高阶函数。 - 处理错误并编写复杂的函数。 7. **使用库和文件操作** - 学习如何导入和使用Python库，管理文件操作。 - 掌握文件读取和写入的技术以及最佳实践。 8. **NumPy简介** - 了解NumPy库及其强大之处，学习创建和操作数组。 - 使用NumPy高效处理大数据集，并能对数组进行数学运算。 学习成果： 完成本课程后，学员将能够理解并应用Python编程的基本知识，运用Python库处理数据，编写有效的程序和函数，进行文件操作及数据分析。 由FAK Noble博士提供，AI研究者、科学家、产品开发者、创新者和纯意识专家。
1. Introduction to PythonOverview:This section introduces the Python programming language, its history, and its importance in the programming world.Topics Covered:What is Python?Python's History and EvolutionWhy Choose Python? (Features and Advantages)Setting Up the Python Environment (Installation of Python, IDEs, and Editors)Writing and Executing Your First Python ProgramLearning Outcomes:Understand the basics of Python and its applications.Set up Python on your computer and run simple programs.2. Python LibrariesOverview:Explore the vast ecosystem of Python libraries and how they extend the capabilities of Python.Topics Covered:Introduction to Python Libraries and ModulesStandard Library vs. Third-Party LibrariesInstalling and Managing Libraries using pipOverview of Popular Libraries: NumPy, Pandas, Matplotlib, etc.Learning Outcomes:Understand what libraries are and how to use them.Learn how to install and manage Python libraries.3. Introduction to Python ProgrammingOverview:Dive into the core syntax and programming constructs of Python.Topics Covered:Python Syntax and SemanticsVariables, Data Types (Numbers, Strings, Booleans)Operators and ExpressionsBasic Input and OutputCommenting and Writing Clean CodeLearning Outcomes:Write basic Python programs using variables and data types.Perform arithmetic operations and handle user input.4. Introduction to Python Programming (Part 2)Overview:Build on the basics by exploring control flow and loops.Topics Covered:Control Flow: Conditional Statements (if, else, elif)Loops: for and while LoopsIntroduction to Iterables and IteratorsBreak and Continue StatementsLearning Outcomes:Implement decision-making in code using conditionals.Use loops to iterate over data and perform repetitive tasks.5. Data Structures and Functions in PythonOverview:Learn about essential data structures and how to create reusable code with functions.Topics Covered:Lists, Tuples, and SetsDictionaries: Key-Value PairsDefining and Using FunctionsFunction Parameters and Return ValuesScope and Lifetime of VariablesLearning Outcomes:Store and manipulate data using lists, tuples, and dictionaries.Write functions to create modular, reusable code.6. Data Structures and Functions in Python (Part 2)Overview:Continue exploring data structures and more advanced function concepts.Topics Covered:Advanced List Operations (Slicing, List Comprehensions)Working with Nested Data StructuresAnonymous Functions (Lambda Expressions)Higher-Order Functions (map, filter, reduce)Error Handling and Exceptions in FunctionsLearning Outcomes:Perform complex operations on data structures.Handle errors gracefully and write more sophisticated functions.7. Working with Libraries and Handling FilesOverview:Learn how to work with Python libraries and manage file operations.Topics Covered:Importing and Using LibrariesFile Handling: Reading and Writing FilesWorking with CSV Files using the csv moduleIntroduction to Context ManagersBest Practices for File OperationsLearning Outcomes:Read from and write to files using Python.Use libraries to enhance Python's functionality.8. Python Introduction to NumPyOverview:Get introduced to NumPy, a powerful library for numerical computing.Topics Covered:What is NumPy and Why Use It?Creating and Manipulating ArraysBasic Array OperationsWorking with Multi-dimensional ArraysArray Indexing and SlicingBasic Mathematical Functions with NumPyLearning Outcomes:Use NumPy to work with large datasets efficiently.Perform mathematical operations on arrays and matrices.Courtesy,Dr. FAK Noble Ai Researcher, Scientists, Product Developer, Innovator & Pure Consciousness Expert
