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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-programming-beyond-the-basics-intermediate-training/
课程评论：没有评论
课程名称：Python编程进阶与中级培训 概述：欢迎参加《Python编程进阶与中级培训》课程。在本课程中，您将获得针对多个领域和目的的Python编程的重要主题的实践技能。完成本课程后，您将掌握每位Python开发者应具备的中级概念，并能够在Python语言的各个领域中实际应用。无论您是数据科学、网页开发还是机器学习领域的从业者，了解本课程所涵盖的所有概念及其理论和实践运用都是非常必要的。这将帮助您更加高效地创建程序，避免时间的浪费和复杂性。如果您希望提升Python职业生涯并成为高效的Python程序员，那么本课程就是为您量身定制的。 本课程将讨论以下主题： 1. **迭代器**：了解Python中的迭代器，如何使用相关概念和函数，如何创建迭代器及其目的。 2. **作用域**：学习Python中各种作用域及其处理方式，掌握变量和函数的可访问范围。 3. **字符串格式化**：深入学习字符串格式化技术，以确保字符串按预期显示。 4. **生成器**：了解Python中的生成器及其使用，构建生成器函数和表达式，掌握yield语句的工作原理以及yield与return之间的区别。 5. **正则表达式**：详细学习正则表达式的使用，掌握patten matching和re库的操作。 6. **数据结构**：精通Python collections模块中常用的数据结构，了解如何存储数据集合及其功能增强。 7. **项目打包**：学习如何打包简单的Python项目，包括必要文件的添加和结构创建。 8. **数学与统计模块**：实践使用math和statistics模块及其相关函数，了解C标准定义的数学函数。 9. **装饰器**：探索装饰器的定义与创建，学习如何使用装饰器扩展函数的行为，而不显式修改其本身。 通过以上模块，您将能够在Python编程中更加游刃有余，为自己的职业生涯注入新的动力。
Hi, Welcome to the Python Programming Beyond The Basics And Intermediate Training.In this course, you will get a hands-on Many important topics that need to be mastered in order to create applications of multiple scales and purposes in Python programming language.By the end of this course, you'll have the Intermediate concepts that every Python developer should have, and know how to use them practically in all the fields of the Python language.Even if you are in any field such as data science, web development or machine learning, it is very necessary to know all the concepts that we will talk about in this course, as well as how to use them in a theoretical and practical way as we will do, and this is in order to facilitate the creation of programs in the correct way as you want it without wasting time or complication.We created this course for you if you want to boost your Python career to become a productive Python programmer.What are the topics that we will discuss in this course?First, we will talk about iterators in the Python language, how to use them, the concepts and functions related to them, how to create them, and what is the purpose of creating them easily.Simply, Iterator in Python is simply an object that can be iterated upon. An object which will return data, one element at a time.This is a brief and simple definition of Python iterator.Let's go to the second section, which we will talk about.In the second section we will talk about The Python scope Of all kinds and how to deal with them.Not all variables or functions can be accessed from anywhere in a program. The part of a program where a variable or function is accessible is called its scope.The section that next, we'll talk about the string formatting To make sure a string will display as expected. and You'll learn about these formatting techniques in detail and add them to your Python string formatting toolkit.And in the fourth section we will know all about:What generators in Python are and how to use themHow to build generator functions and expressionsHow the Python yield statement works and the difference between yield and return.How to use multiple Python yield statements in a generator function.How to use advanced generator methods in your apps.The section that next, you'll learn everything about regular expressions in Python.This is a very important topic, and we will talk about it in a detailed and practical way and with deep clarification. Actually, You'll have all power of regular expressions, You will work with the re library, deal with pattern matching, and many more.Basically, Regular Expressions are a tool for matching patterns in text. This is a brief and simple definition of Regular Expressions.In the next section, you'll master the most commonly used data structures from the Python collections module. Basically, Collections in Python are containers that are used to store collections of data, for example, lists and dictionaries. These are built-in collections. Several modules have been developed that provide additional data structures to store collections of data. One such module is the Python collections module.The collections module is used to improve the functionalities of the built-in collection containers. The next section walks you through how to package a simple Python project. It will show you how to add the necessary files and structure to create the package, how to build the package, and how to use this Package.In the next section, you'll master all about math and statistics modules practically, and the functions that are used with them.Simply, the math module provides access to the mathematical functions defined by the C standard. and The statistics module provides functions for calculating mathematical statistics of numeric data.Finally, In the last part of this course you will learn something very important, which is decoration.In this section on decorators, we'll look at what they are and how to create and use them in detail.Simply and By definition, a decorator is a function that takes another function and extends the behavior of the latter function without explicitly modifying it. that's it. We will simplify this topic very without complication, and with practical examples to illustrate.
