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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-data-engineering/
课程评论：没有评论
课程名称：Python 数据工程与 500+ 编码问题 课程概述：您是否对学习 Python 这个最受欢迎的编程语言之一感兴趣？如果是的话，Coursera 上的 Python 课程可能非常适合您。在这门课程中，您将从基础到高级概念全面学习 Python。这门课程是数据工程的一部分，您还可以在后续课程中探索 Linux 和 Spark/Databricks。Python 是一种高级通用编程语言，其设计哲学强调代码可读性，语法易于学习和理解，是动态类型和垃圾收集的语言，支持多种编程范式，包括结构化、面向对象和函数式编程。Python 拥有丰富的标准库，常被称为“开箱即用”的语言。 课程内容详细涵盖以下主题： - 语言基础：学习变量、数据类型、运算符和表达式。 - 运算符：探索算术、比较、逻辑和赋值运算符。 - 输入与输出语句：学习如何从用户那里获取输入以及在屏幕上显示输出。 - 流程控制：了解条件语句和循环。 - 逻辑构建的模式应用：学习如何使用循环和条件语句构建模式。 - 字符串：探索字符串操作，如切片、连接和格式化。 - 字符串编程问题：解决与字符串相关的编程问题。 - 列表数据结构：学习列表数据结构及其方法。 - 元组数据结构：探索元组数据结构及其方法。 - 集合数据结构：学习集合数据结构及其方法。 - 字典数据结构：探索字典数据结构及其方法。 - 函数：学习如何定义和调用函数。 - 模块：探索模块及其在 Python 程序中的导入方法。 - 包：学习如何创建和使用 Python 包。 - 面向对象编程（OOP）：了解类、对象、继承和多态性。 - 异常处理：学习如何处理 Python 程序中的错误和异常。 - 日志模块：学习如何使用日志模块记录事件。 - 断言：学习如何使用断言检查条件。 - 文件处理：学习如何在 Python 中读取和写入文件。 - 对象序列化（使用 PICKLE、JSON 和 YAML）：学习如何使用这些流行格式序列化 Python 对象。 - 装饰器：探索装饰器及其修改函数行为的用法。 - 生成器：学习如何创建和使用生成器以生成值序列。 总结：Coursera 上的 Python 课程是一门全面的课程，涵盖了与 Python 相关的所有重要主题。完成课程后，您将对 Python 编程有深入的理解，并能够构建自己的 Python 程序。那么，为什么还要等待呢？今天就报名参加课程，开始您的 Python 编程之旅吧！
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