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所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-intelligence-case-study/
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课程名称：通过实践学习Python：25个真实世界项目大师班 课程概述： 本课程专注于教会学生如何通过实际项目掌握Python编程语言。Python因其解释性语言的特性而受到广泛欢迎，无需编译，即可在各种计算机上运行代码，这使得开发人员能快速查看代码结果并进行修改。虽然Python的运行速度相对较慢，但它的易用性和高效性使其成为初学者的理想选择。 Python语言的易读性使得学习起来比其他编程语言更加容易，使得程序员能够专注于应用的核心功能，而常见的编程任务则由Python处理。这导致了Python在IT界的广泛应用，包括机器学习和数据科学等复杂领域。 在本课程中，学生将通过25个真实世界项目来实践Python编程。这些项目包括： 1. 使用OpenCV和Tkinter的图像编辑应用 2. 使用Tkinter和Sqlite3的品牌识别游戏 3. 使用Tkinter和Sqlite3的事务应用 4. 使用Django的学习管理系统 5. 创建新闻门户网站 6. 创建学生门户 7. 使用Django和Plotly的生产力跟踪器 8. 创建学习小组 9. 构建作物指南应用 10. 密码管理器应用 11. 创建新闻应用 12. 创建指南应用 13. 构建厨师网站应用 14. 推理规则求解器 15. 构建视觉网站应用 16. 预算规划应用 17. 井字游戏 18. 使用Django的随机密码生成器网站 19. 使用Django构建个人作品集网站 20. 多用户待办事项网站 21. 加密货币规划桌面应用 22. 自己的Twitter机器人 23. 使用Python、Tkinter和JSON创建字典 24. 蛋捕捉游戏 25. 个人日常跟踪应用 这25个项目将帮助学生深入理解Python，并为他们提供实践经验，使他们能够在真实场景中应用学到的知识。
The most appealing characteristic of Python is that it is an interpreted language. Interpreted languages are the programming languages that do not need to be compiled to run. An interpreter can run python code on any kind of computer, by itself. This means the programmer can quickly see the results, if or when they need to modify the code. On the flip side, this also means that Python is slower than a compiled language like C. And that is because it is not running on a machine code directly.Because Python is an interpreted language, testing small snippets of code and moving them between different platforms is quite simple. Since Python is compatible with most of the operating systems, it is used universally, in a variety of applications.Python is considered a beginners' programming language. As it is a high-level language, a programmer can focus on what to do instead of how to do it. This is one of the major reasons why writing programs in Python takes less time than in other programming languages.Because Python is similar to English, many find it easier to learn than other programming languages. Developers can read and remember the Python syntaxes much easier than other programming languages.Since Python supports scripting as well, it can be used to build large, commercial applications. The main factor behind Python's popularity in the IT world is its reliability. Being a high-level programming language, Python lets the user focus on the core functioning of the application. Meanwhile, the common programming tasks are handled by the language itself.Now you can probably see why Python is one of the most favored programming languages by developers, data scientists, software engineers, and hackers! And the key factors behind its diverse userbase are flexibility, versatility, and object-oriented features. This is also why Python is used in complex fields like Machine Learning (ML) and Data Science (DS).In This Course, We Are Going To Work On 25 Real World Projects Listed Below:Project-1: Image Editor Application With OpenCV And TkinterProject-2: Brand Identification Game With Tkinter And Sqlite3Project-3: Transaction Application With Tkinter And Sqlite3Project-4: Learning Management System With DjangoProject-5: Create A News Portal With DjangoProject-6: Create A Student Portal With DjangoProject-7: Productivity Tracker With Django And PlotlyProject-8: Create A Study Group With DjangoProject-9: Building Crop Guide Application with PyQt5, SQLiteProject-10: Building Password Manager Application With PyQt5, SQLiteProject-11: Create A News Application With PythonProject-12: Create A Guide Application With PythonProject-13: Building The Chef Web Application with Django, PythonProject-14: Syllogism-Rules of Inference Solver Web ApplicationProject-15: Building Vision Web Application with Django, PythonProject-16: Building Budget Planner Application With PythonProject-17: Tic Tac Toe GameProject-18: Random Password Generator Website using DjangoProject-19: Building Personal Portfolio Website Using DjangoProject-20: Todo List Website For Multiple UsersProject-21: Crypto Coin Planner Gui ApplicationProject-22: Your Own Twitter Bot -python, request, API, deployment, tweepyProject-23: Create A Python Dictionary Using python, Tkinter, JSONProject-24: Egg-Catcher Game using pythonProject-25: Personal Routine Tracker Application using python
