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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-complete-guide/
课程评论:没有评论
**课程名称:** Python - 完整 Python、Django、数据科学与机器学习指南 **课程概述:** 本课程旨在提供一个全面的 Python 学习体验,将 Python 的易用性与其实际应用相结合。Python 作为一种功能强大的编程语言,能够应用于文件处理、机器学习、数据分析、游戏开发和 Web 应用开发等众多领域。通过本课程,学员将能够为自己打开职业选择的广阔空间,或独立创建应用程序解决实际问题。 课程注重理论与实践相结合,包含大量实际操作和课后练习。课程的核心在于帮助学员**理解** Python 的关键概念,而非仅仅学习语法。讲师将先解释“为何”以及“是什么”,再逐步引导学员进行“如何”的代码编写。所有示例均由讲师提前编写,学员需自行动手实践。 课程时长超过 50 小时,但为达到精通,预计需要投入约 500 小时完成所有内容,包括所有实践任务。 **核心教学主题:** * **Python 基础编程:** 涵盖数据类型、函数、变量、控制结构(循环和条件语句)等 Python 核心概念。 * **面向对象编程 (OOP):** 深入理解类、对象、继承、封装和多态性,以及如何高效地组织代码。 * **文件处理与模块:** 学习使用 `os` 模块进行文件和目录操作,以及如何使用外部模块、实现代码复用和管理包(pip)。 * **Django Web 开发:** 介绍 Django 框架,包括 MVC 架构、URL 路由、模型创建和数据库交互,以构建动态 Web 应用。 * **API 开发:** 学习使用 Django 开发 RESTful API,处理 API 请求和响应,包括认证、授权和版本管理。 * **Pygame 游戏开发:** 通过 Pygame 库学习游戏开发,包含图形、动画和用户输入处理,创造互动游戏。 * **NumPy 和 Pandas 数据处理:** 掌握 NumPy 和 Pandas 在数据分析和处理中的应用,包括数组操作、数据框以及真实数据集处理。 * **错误处理:** 学习 Python 的错误处理机制,确保代码的健壮性和可靠性。 * **包管理与虚拟环境:** 精通使用 pip 进行包管理,创建虚拟环境以隔离项目,并有效管理依赖关系。 * **数据可视化与机器学习入门:** 使用 Matplotlib 进行数据可视化,并接触 Scikit-Learn 框架,了解模型创建、评估和预测等机器学习基础概念。 **课程重要性:** 本课程为学员提供了扎实的 Python 编程基础,涵盖从基础语法到面向对象、Web 开发、游戏开发、数据处理乃至机器学习的广泛主题。掌握这些概念对于构建多功能应用程序、进行数据分析以及进入机器学习领域至关重要,能让学员胜任各种编程任务和项目。 **学习成果:** 完成本课程后,学员将能够自信地说出“我懂 Python”并熟练运用最常用的 Python 功能。 **其他:** 本课程提供 30 天无条件退款保证。
Python is the easiest programming language in the world. But at the same time, Python is a powerful tool with which you can solve a huge range of different tasks, from file processing to machine learning, data processing, game creation and web application development.Thus, having learned Python, you can choose a profession from a wide range of vacancies, or you can use Python to create your own applications and solve your own problems.This course includes many practical tasks, as well as tasks for self-fulfillment.Python is an object oriented programming language.Python is also a language with a huge amount of features, but in order to be able to code in Python, you need to UNDERSTAND the key concepts of Python. And that's what I'm going to focus on with you in this course.Before writing code and running examples, you will receive from me explanations and answers to questions WHY and WHY , and only after that HOW to write code.I will not waste your time and therefore I have created the most effective course structure. All the examples that I will explain and run are written by me before the course, but you will write and run the code yourself.All video lectures in this course are over 50 hours long , but expect to spend around 500 hours to master all the topics of the course, including self-completion of all practical tasks.In this course you will learn following key topics:Foundational Python Programming: Learn the fundamental concepts of Python programming, from data types, functions, and variables to control structures like loops and conditional statements.Object-Oriented Programming (OOP): Dive into the principles of OOP, understanding classes, objects, inheritance, encapsulation, and polymorphism, and discover how to leverage them for efficient code organization.File Handling and Modules: Explore file manipulation techniques, from working with directories and files using the os module to using external modules, enabling code reuse, and managing packages with PIP.Web Development with Django: Get an introduction to web development using Django, covering MVC architecture, URL routing, model creation, and interacting with databases to build dynamic web applications.API Development: Learn to create RESTful APIs using Django and handle API requests and responses, including authentication, authorization, and versioning.Game Development with Pygame: Enter the world of game development with Pygame, creating interactive games by working with graphics, animations, and user input.Data Manipulation with NumPy and Pandas: Discover data analysis and manipulation using NumPy and Pandas, covering array operations, dataframes, and handling real-world data sets.Error Handling: Understand error handling mechanisms in Python ensuring robust and reliable code.Package Management and Virtual Environments: Master package management using PIP, create virtual environments to isolate projects, and manage dependencies effectively.Visualization and Machine Learning: Explore data visualization with Matplotlib, and dip your toes into machine learning concepts with Scikit-Learn, covering model creation, evaluation, and prediction.Why it's important: This course provides a comprehensive foundation in Python programming, from basic syntax to advanced topics like OOP, web and game development, data manipulation, and more. Understanding these concepts is crucial for building versatile applications, performing data analysis, and even stepping into machine learning, ensuring you're equipped for a wide range of programming tasks and projects.After completing this course, you can safely say that you KNOW Python and CAN use the most popular Python functions. As any of my courses this course comes with 30-days money back guarantee. No questions asked!