|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-python-for-data-handling/
课程评论：没有评论
课程名称：掌握Python数据处理 [2025] 课程概述：本视频课程将教会您掌握Python 3，这是一种全球最流行的编程语言。您将学习Python的基本构建块和强大的面向对象编程，从而能够将Python应用于数据科学和机器学习的数据处理任务。您将设计自己的Python高级构建，并使用这些构建块执行详细的数据处理任务，仅借助有限的文件处理库。 您将学习的内容包括： - Python编程 - Python的数据类型（整数、浮点数、字符串） - Python的本地数据结构（集合、元组、字典、列表） - Python的数据转换器、函数、面向对象编程及逻辑 - 自定义高级函数及函数的通用化 - 自定义高级对象 - 数据处理 - 转换、操作和计算数据 - 在常见文件格式和数据结构之间移动数据 - 使用高级多维不均匀数据结构 - 云计算：使用基于网络的Anaconda Cloud Notebook（基于云的Jupyter Notebook） - 选项：使用Anaconda分发版本（Windows、Mac、Linux等） - Python环境基础知识，配合Conda包管理系统及命令行安装/更新库和包，提高工作效率的关键技巧 课程亮点：数据处理是使数据对数据分析有用和可用的过程。大多数数据科学家和机器学习工程师在数据处理中花费约80%的时间和精力。掌握数据处理和Python是提升生产力的极其有用和节省时间的技能。 适合人群： - 想要从零开始学习Python 3的绝对初学者 - 已掌握其它编程语言但希望学习Python 3的人 - 希望达到许多高级Udemy课程所需的中级Python程序员水平的人 - 有意学习Python的数据处理及提升数据处理能力的人 要求： - 推荐具备Windows、MacOS或Linux的日常计算机使用经验 - 无需编程经验 - 课程仅使用免费的软件 - 包括Windows的安装和设置视频 本课程是我们自己希望能参与的课程，如果能时光倒流成为新学生的话。我们认为这是学习Python和数据处理的最佳课程。立即注册，获取超过9小时的详细视频教程，配有手动编辑的英文字幕，并在完成课程后获得结业证书！
This video course will teach you to master Python 3, one of the most popular programming languages in the world.You will learn to master Python's native building blocks and powerful object-oriented programming to make you able to use Python for Data Science and Machine Learning Data Handling tasks. You will learn to design your own advanced constructions of Python's building blocks and execute detailed data handling tasks using these building blocks with limited assistance from file handling libraries.You will learn:Python ProgrammingPython's data types (integer, float, string)Python's native data structures (set, tuple, dictionary, list)Python's data transformers, functions, object orientation and logicHow to make your own custom advanced functions and how to generalize functionsHow to make your own custom advanced objectsData HandlingHow to transform, manipulate, and calculate dataHow to move data around between common file formats and data structuresHow to use advanced multi-dimensional uneven data structuresCloud Computing: To use the web browser-based Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud Computing resources in this course.Option: To use the Anaconda Distribution (Windows, Mac, Linux, and more)Option: Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work life.And much more…This course is an excellent way to learn to master Python and Data Handling! Data Handling is the process of making data useful and usable for data analysis. Most Data Scientists and Machine Learners spends about 80% of their working efforts and time on Data Handling tasks. Being good at Data Handling and Python are extremely useful and time-saving skills that functions as a force multiplier for productivity.This course is designed for anyone who wants tolearn to Master Python 3 from scratch or the absolute beginner levellearn to Master Python 3 and knows another programming languagereach the Master - intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learninglearn Data Handling with Pythonlearn advanced Data Handling and improve their capabilities and productivityRequirements:Everyday experience using a computer with Windows, MacOS, or Linux is recommendedProgramming experience is not neededThe course only uses costless softwareWalk-you-through installation and setup videos for Windows is includedThis course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn the Python and Data Handling.Enroll now to receive 9+ hours of detailed video tutorials with manually edited English captions, and a certificate of completion after completing the course!
