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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-visualization-python-pandas-jupyter/
课程评论：没有评论
课程名称：数据分析与可视化：Python Pandas Jupyter 概述：数据分析是一种检查、清理、转换和建模数据的过程，旨在发现有用的信息、支持结论及决策。数据可视化涉及数据的图形表现。Pandas是一个快速、强大、灵活且易于使用的开源数据分析和处理工具，基于Python编程语言。Python是一种解释型高层次的通用编程语言，其设计哲学强调代码的可读性，使用显著的缩进。Python的语言构造以及面向对象的方法旨在帮助程序员撰写清晰、逻辑的代码，适用于小型和大型项目。Jupyter Notebook是一个基于网络的交互式计算平台，结合了实时代码、公式、叙述文本和可视化。Python拥有一个强大而流行的库——Pandas，构建在Numpy之上，实现了许多数据对象和操作。Pandas是数据科学中最著名的工具之一，对于数据的清理、处理和分析具有变革性的影响。Pandas提供了读取和写入数据到数据结构和文件的工具，同时具有强大的聚合功能来处理数据。它还提供扩展的数据结构，以存储不同类型的标记和关系数据，使得Python在数据清理和处理上高度灵活且极其有用。此外，Pandas还提供了合并、重塑、连接和串联数据等多种操作的功能。
Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.Data visualization deals with the graphic representation of data.pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizationsPython has a powerful and most popular package ‘Pandas' built on top of Numpy which has the implementation of many data objects and data operations. Pandas is one of the most famous data science tools and it's definitely a game-changer for cleaning, manipulating, and analyzing data.Pandas provide tools for reading and writing data into data structures and files. It also provides powerful aggregation functions to manipulate data.Pandas provide extended data structures to hold different types of labeled and relational data. This makes python highly flexible and extremely useful for data cleaning and manipulation.Pandas is highly flexible and provides functions for performing operations like merging, reshaping, joining, and concatenating data.
