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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-programing-language-for-personal-development-a/
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课程名称：个人发展Python编程语言 课程概述： Python编程语言是一种开源、广泛使用的软件应用开发工具。该课程将帮助学员了解Python的基本知识，并练习相关的选择题，准备相关的考试。Python通常用于构建和部署网络应用程序及API，能够进行数据分析和可视化，以及软件测试，即使被测试的软件并非用Python编写。Python是一种广泛应用的通用编程语言，涵盖机器学习、网络开发、桌面应用程序等多个领域。对于初学者而言，Python的语法简单易用，使其成为学习编程的理想语言。 语言概念： Python包含了一些在其他编程语言中较少见的有用概念，包括： 1. 生成器 2. 推导式 3. 应用程序依赖管理（通过内置的venv和pip命令） 生成器： 生成器是Python核心语言结构之一，允许函数的返回值表现为迭代器。生成器能够通过在大量迭代过程中动态分配和释放内存，提高内存使用效率。生成器的定义见PEP255，自2001年Python 2.2版本起就已纳入语言中。 推导式： 推导式是Python允许简洁地在列表、字典和集合中创建数据的一种语言构造。列表推导式早在Python 2中就已包含，而字典和集合推导式是Python 3中的新增功能。推导式的语法更加清晰，有助于在核心数据结构中填充符合条件的数据，避免了使用嵌套循环和条件语句导致的可读性降低。 本课程旨在让学员掌握Python编程的基础知识，提升他们在个人发展中的技术能力。
Python Programming LanguageThe Python programming language is an open source, widely-used tool for creating software applications.Finally, practice here the best Python Programming Language MCQ Questions, that checks your basic knowledge of Python Programming.From below you can learn some basic things of Python Programming that helps you to pass this exam.What is Python used for?Python is often used to build and deploy web applications and web APIs. Python can also analyze and visualize data and test software, even if the software being tested was not written in Python.Python is a popular general-purpose programming language. It is used in machine learning, web development, desktop applications, and many other fields. Fortunately for beginners, Python has a simple, easy-to-use syntax. This makes Python a great language to learn for beginners.Language conceptsPython has several useful programming language concepts that are less frequently found in other languages. These concepts include:generatorscomprehensionsapplication dependency handling via the built-in venv (as of Python 3.3) and pip (as of Python 3.4) commandsGeneratorsGenerators are a Python core language construct that allow a function's return value to behave as an iterator. A generator can allow more efficient memory usage by allocating and deallocating memory during the context of a large number of iterations. Generators are defined in PEP255 and included in the language as of Python 2.2 in 2001.ComprehensionsComprehensions are a Python language construct for concisely creating data in lists, dictionaries and sets. List comprehensions are included in Python 2 while dictionary and set comprehensions were introduced to the language in Python 3.Why are comprehensions important?Comprehensions are a more clear syntax for populating conditional data in the core Python data structures. Creating data without comprehensions often involves nested loops with conditionals that can be difficult for code readers to properly evaluate.
