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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-python-programming-a-complete-bootcamp/
课程评论：没有评论
Coursera Python编程入门到精通：完整训练营 + 400个实例 **课程概述** 本课程是一门全面的Python编程实践训练营，旨在帮助您从零开始掌握Python。无论您是编程新手还是希望提升现有技能的开发者，本课程都将提供分步式的学习体验，涵盖从基础概念到高级编程技术的全面内容。 **为何选择本课程？** Python以其简洁、易读和多功能性成为全球最受欢迎的编程语言之一，广泛应用于Web开发、数据科学、人工智能、自动化和软件工程等领域。本课程不仅教授Python语法和核心编程概念，还将帮助您培养编写高效、可扩展代码所需的解决问题能力。 **课程适合人群** * 希望从零开始学习编程的绝对初学者。 * 希望打下坚实Python基础的学生和专业人士。 * 希望扩展技能集的软件工程师、数据分析师和AI爱好者。 * 任何对使用Python进行自动化、Web开发或脚本编写感兴趣的人。 **您将学到什么？** 1. **Python基础：** Python语法、执行流程、变量、数据类型、运算符、字符串操作和格式化。 2. **控制流：** if-else条件语句、for和while循环、嵌套循环和逻辑运算符。 3. **函数与模块化编程：** 函数定义与调用、参数、返回值、作用域、代码重用。 4. **数学模块与内置函数：** 使用`math`模块进行数学运算，探索内置函数。 5. **数据集合：** 列表（操作、排序、索引、切片）、元组（不可变集合）、集合（唯一元素、数学运算）、字典（键值对存储）。 6. **面向对象编程（OOP）：** 类与对象、封装、继承、多态、使用OOP概念创建应用。 7. **Python数据结构模块与包：** `namedtuple`, `chainmap`, `counter`, `ordereddict`, `heapq`, `deque`等模块的使用，创建自己的模块，Python包管理系统。 8. **Python NumPy库：** 数组创建与操作（创建、重塑、切片、索引、广播）、数学与统计函数、随机数生成。 9. **Python Matplotlib：** 绘图基础（折线图、散点图、条形图、直方图、饼图）、自定义与样式设置、子图与布局、坐标轴与标注、3D与高级绘图。 10. **Python Pandas：** 数据结构（Series, DataFrame）的理解与操作、数据清洗与预处理（缺失值、重复值、过滤、转换）、索引与选择（`loc`, `iloc`, 布尔索引、多级索引）、聚合与分组（`groupby()`, 数据透视表, `agg()`）。 **课程独特之处** * **全面的课程体系：** 涵盖从基础语法到高级OOP和数据结构的全部内容。 * **实践驱动学习：** 通过真实世界的练习和项目进行编码实践。 * **循序渐进的学习方法：** 每个主题都建立在前一个主题之上，易于学习。 * **无需先验经验：** 专为绝对初学者设计。 * **实际应用：** 学习编写清晰、高效、可复用的Python代码。 **学成收获** 学完本课程后，您将具备构建Python应用程序、自动化任务以及探索数据科学、AI或Web开发等更高级领域所需的技能和信心。 立即加入此训练营，开启您的Python编程之旅！
Welcome to the Python Bootcamp, a comprehensive hands-on course designed to help you master Python programming from the ground up. Whether you are a complete beginner or someone looking to refine your coding skills, this course is structured to provide a step-by-step learning experience covering fundamental concepts to advanced programming techniques.Why Take This Course?Python is one of the most popular programming languages in the world, known for its simplicity, readability, and versatility. It is widely used in web development, data science, artificial intelligence, automation, and software engineering. This course will not only teach you Python syntax and core programming concepts but also help you develop the problem-solving skills necessary to write efficient and scalable code.Who Should Take This Course?Absolute beginners who want to learn programming from scratch.Students and professionals looking to build a strong foundation in Python.Software engineers, data analysts, and AI enthusiasts who want to expand their skill set.Anyone interested in automation, web development, or scripting using Python.What You Will Learn1. Python BasicsUnderstanding Python syntax and execution flow.Variables, data types, and operators.String manipulation and formatting.2. Control Flow: Loops and Conditional StatementsImplementing if-else conditions for decision-making.Using for and while loops for repetition.Understanding nested loops and logical operators.3. Functions and Modular ProgrammingDefining and calling functions in Python.Function parameters, return values, and scope.The importance of code reusability and modular programming.4. Math Modules and Built-in FunctionsPerforming mathematical operations using the math module.Exploring built-in functions for calculations and data manipulation.5. Data Collections: Sets, Tuples, Lists, and DictionariesUnderstanding lists and their operations (sorting, indexing, slicing).Using tuples for immutable collections.Leveraging sets for unique elements and mathematical operations.Working with dictionaries for key-value data storage.6. Object-Oriented Programming (OOP)Understanding classes and objects in Python.Implementing encapsulation, inheritance, and polymorphism.Creating real-world applications using OOP concepts.7. Python Data Structure Modules and PackagesImporting and using built-in Python modules such as namedtuple, chainmap, counter, ordereddictionaries, heapq, and deque,.Creating and organizing your own modules.Understanding the Python package management system.8. Python NumPy libraryArray Creation & Manipulation: Creating arrays, reshaping, slicing, indexing, and broadcasting.Mathematical & Statistical Functions: Element-wise operations, linear algebra, and aggregation functions.Random Number Generation: Generating random samples, distributions, and setting seeds.9. Python MatplotlibPlotting Basics: Creating line plots, scatter plots, bar charts, histograms, and pie charts.Customization & Styling: Setting titles, labels, legends, colors, markers, and line styles.Subplots & Layouts: Creating multiple plots in one figure, adjusting layout, and using gridspec.Axes & Annotations: Controlling axis limits, ticks, scales (log, linear), and adding annotations.3D & Advanced Plots: Generating 3D plots, contour plots, heatmaps, and interactive visualizations.10. Python PandasData Structures: Understanding Series and DataFrame, creating and manipulating them.Data Cleaning & Preprocessing: Handling missing values, duplicates, filtering, and transforming data.Indexing & Selection: Using loc, iloc, boolean indexing, and multi-indexing.Aggregation & Grouping: Performing group operations with groupby(), pivot tables, and agg() functions.What Makes This Course Unique? * Comprehensive Curriculum - Covers everything from basic syntax to advanced OOP and data structures. * Hands-on Learning - Practice coding with real-world exercises and projects. * Step-by-Step Approach - Each topic builds on the previous one for easy learning. * No Prior Experience Required - Designed for absolute beginners. * Practical Applications - Learn how to write clean, efficient, and reusable Python code.By the end of this course, you will have the skills and confidence to build Python applications, automate tasks, and explore more advanced areas like data science, AI, or web development. * Join this bootcamp and start your Python programming journey today!
