Core Python 170+ Case Studies For Beginners

所在平台: Udemy

课程主页: https://www.udemy.com/course/core-python-170-case-studies-for-beginners/

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**课程名称:** Core Python 170+ Case Studies For Beginners **课程概述:** 本课程旨在帮助初学者从零开始,通过实践和大量案例研究,逐步成长为一名专业的Python开发者。课程内容涵盖Python的基础知识、编程入门以及用户交互。我们将从Python的基本语法和编程原理讲起,并详细介绍Python在Web开发、数据科学、机器学习、人工智能、计算机视觉、自然语言处理、游戏开发等众多科技领域的广泛应用。 课程注重实践性,理论与实践相结合,避免枯燥的理论讲解。我们将从Python基础编程和软件安装开始,然后立即进入编程实践。通过编写实用的Python程序,学员将以“学以致用”的方式掌握知识。 **主要涵盖主题:** * Python 中的运算符类型 * Python 中的变量 * Python 中的数字 * Python 数据类型 * Python 中的数组 * Python 中的字符串函数 * Python 中的输入与输出语句 * Python 中列表的创建与操作 * Python 中字典的创建与操作 * Python 中元组的创建与操作 * Python 中集合的创建与操作 * Python 中的条件语句 * Python 中的循环语句 * Python 中的文件处理 * NumPy 数组

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课程详情

The course starts with the basics, including Python fundamentals, programming, and user interaction. The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals as Python is a modern programming language which used in many tech sectors like web, data science machine learning, Artificial Intelligence, Computer Vision, NLP, Game Development, etc.This course is highly practical but it won't neglect the theory, we'll start with basics of python programming and installing the needed software. Then we'll dive and start programming straight away. You'll learn everything by example, by writing useful python programs, no boring dry programming lectures.The topics covered in this course are:· Operators Types in Python.· Variables in Python.· Number in Python.· Python Data Types.. Arrays in Python.· String Functions in Python.· How to use Input & Output Statements in Python.· How to create Lists & lists operations in Python.· How to create Dictionaries & Dictionaries operations in Python.· How to create Tuples & Tuples operations in Python.· How to create Sets & Sets operations in Python.· Conditional Statements in Python.· Looping Statements in Python· File handling in Python· NumPy Arrays

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