- Python数据分析(第3版影印版)(英文版)
- - 作者：(美)韦斯·麦金尼|责编:张烨
  - 出版社：东南大学
  - ISBN：9787576602500
  - 出版日期：2023/01/01
  - 页数：561
- 售价：59.2

内容大纲
本书由Python pandas项目创始人Wes McKinney亲笔撰写，详细介绍利用Python进行操作、处理、清洗和规整数据等方面的具体细节和基本要点。你将在阅读过程中学习到新版本的pandas、NumPy、IPython和Jupyter。
本书由Wes McKinney创作，他是Python pandas项目的创始人。本书是对Python数据科学工具的实操化、现代化的介绍，非常适合刚学Python的数据分析师或刚学数据科学以及科学计算的Python编程者。数据文件和相关的材料可以在GitHub上找到：使用IPython shell和Jupyter notebook进行探索性计算；学习NumPy（Numerical Python）的基础和高级特性；入门pandas库中的数据分析工具；使用灵活工具对数据进行载入、清洗、变换、合并和重塑；使用matplotlib创建富含信息的可视化；将pandas的groupby功能应用于对数据集的切片、分块和汇总；分析并操作规则和不规则的时间序列数据；利用完整的、详细的示例学习如何解决现实中数据分析问题。
作者介绍
韦斯·麦金尼是流行的Python开源数据分析库pandas的创始人。他是一名活跃的演讲者，也是Python数据社区和Apache软件基金会的Python/C++开源开发者。目前他在纽约从事软件架构师工作。
目录
Preface
1.Preliminaries
  1.1  What Is This Book About
    What Kinds of Data
  1.2  Whv Python for Data Analysis
    Python as Glue
    Solving the Two—Language Problem
    WhvNot Python
  1.3  Essential Python Libraries
    NumPy
    pandas
    matplotlib
    IPython and Iupyter
    SciPy
    scikit-learn
    statsmodels
    Other Packages
  1.4  Installation and Setup
    Miniconda on Windows
    GNU／Linux
    Miniconda on macOS
    Installing Necessary Packages
    Integrated Development Environments and Text Editors
  1.5  Community and Conferences
  1.6  Navigating This Book
    Code Examples
    Data for Examples
    Import Conventions
2.Python Language Basics，IPython，and Jupyter Notebooks
  2.1  The Python Interpreter
  2.2  IPython Basics
    Running the IPython Shell
    Running the Jupyter Notebook
    Tab Completion
    Introspection
  2.3  Python Language Basics
    Language Semantics
    ScalarTypes
    Control Flow
  2.4  Conclusion
3.Built.In Data Structures，Functions，and Files
  3.1  Data Structures and Sequences
    Tuple
    List
    Dictionary
    Set
    Built—In Sequence Functions
    List，Set，and Dictionary Comprehensions
  3.2  Functions
    Namespaces，Scope，and Local Functions

    Returning Multiple Values
    Functions Are Objects
    Anonymous(Lambda)Functions
    Generators
    Errors and Exception Handling
  3.3  Files and the Operating System
    Bytes and Unicode with Files
  3.4  Conclusion
4.NumPy Basic：Arrays and Vectorized Computation
  4.1  The NumPy ndarray：A Multidimensional Array Object
    Creating ndarrays
    DataTypesforndarrays
    Arithmetic with NumPy Arrays
    Basic Indexing and Slicing
    Boolean Indexing
    Fancy Indexing
    Transposing Arrays and Swapping Axes
  4.2  Pseudorandom Number Generation
  4.3  Universal Functions：Fast Element—Wise Array Functions
  4.4  Array—Oriented Programming with Arrays
    Expressing Conditional Logic as Array Operations
    Mathematical and Statistical Methods
    Methods for Boolean Arrays
    Sorting
    Unique and Other Set Logic
  4.5  File Input and Output with Arrays
  4.6  Linear Algebra
  4.7  Example：Random Walks
    Simulating Many Random Walks at Once
  4.8  Conclusion
5.Getting Startedwith pandas
  5.1  Introduction to pandas Data Structures
    Series
    DataFrame
    Index Objects
  5.2  Essential Functionality
    Reindexing
    Dropping Entries from an Axis
    Indexing，Selection，and Filtering
    Arithmetic and Data Alignment
    Function Application and Mapping
    Sorting and Ranking
    Axis Indexes with Duplicate Labels
  5.3  Summarizing and Computing Descriptive Statistics
    Correlation and C：ovariance
    Unique Values，Value Counts，and Membership
  5.4  Conclusion
6.Data Loading，Storage，and File Formats
  6.1  Reading and Writing Data in Text Format
    Reading Text Files in Pieces

    WiRing Data to Text Format
    Working with Other Delimited Formats
    TSON Data
    XML and HTML：Wleb Scraping
  6.2  Binary Data Formats
    Reading Microsoft Excel Files
    Using HDF5 Format
  6.3  Interacting with Web APIs
  6.4  Interacting with Databases
  6.5  Conclusion
……
7.DataCleaningand Preparation
8.Data Wrangling：Join，Combine，and Reshape
9.Plotting andVisualization
10.Data Aggregation and Group Operations
11.TimeSeries
12.Introduction to Modeling Libraries in Python
13.DataAnalysis Examples
A.AdvancedNumPy
B.MoreontheIPython System
lndex

内容大纲

作者介绍

目录

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