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    • Python入门(影印版第3版)(英文版)
      • 作者:(美)比尔·卢布诺维克|责编:张烨
      • 出版社:东南大学
      • ISBN:9787576627701
      • 出版日期:2026/07/01
      • 页数:622
    • 售价:75.2
  • 内容大纲

        本书面向Python零基础学习者构建了循序渐进的完整知识体系。
        全书分为三大核心板块:第一部分“基础要塞”从Python环境搭建起步,逐一讲解类型变量、数值、字符串、字节序列、流程控制、元组列表、字典集合、函数与面向对象等核心语法,配套随堂练习巩固基础认知。第二部分“工具集”聚焦Python开发全流程实用技能,覆盖模块包管理、开发环境配置、类型提示规范、测试与调试方法,帮读者建立标准化工程思维。第三部分“进阶探索”延伸至文本处理、二进制操作、日期处理、文件IO、并发编程、网络开发、数据持久化、Web开发、数据科学、AI应用与性能优化等前沿实用场景,完整覆盖Python主流应用方向。
        全书内容兼顾基础严谨性与技术时效性,配套大量实操案例与练习答案,是适合入门读者从零掌握Python、衔接工业级应用的全面指南。
  • 作者介绍

        比尔·卢布诺维克(Bill Lubanovic),从1977年开始使用unix开发软件,1981年开始使用GUI,1990年开始使用数据库,1993年开始使用Web。目前,他正在开发用于医学成像的Web数据库服务。
  • 目录

    Preface
    Part I.  Stronghold
      1. Introduction
        Mysteries
        Little Python Programs
        Setup
        Install Python
        Upgrade Python
        Run Python Programs
        The Python Interactive Interpreter
        Python Files
        Built-In Python Features
        The Python Standard Library
        Third-Party Python Packages
        A Bigger Example
        Review/Preview
      2. Types and Variables
        A Computer
        Bits and Bytes
        Multibyte Types
        Variables
        Assign a Value to a Variable
        Change the Value of a Variable
        Delete a Variable
        Name Variables
        Follow Naming Conventions
        Python Types
        Specify Values
        Objects as Plastic Boxes in Memory
        Review/Preview
        Practice
      3. Numbers
        Booleans
        Integers
        Literal Integers
        Integer Operations
        Integers and Variables
        Precedence
        Bases
        Type Conversions
        How Big Is an int?
        Floats
        Floats Are Not Exact
        Fractions
        Decimals
        Math Functions
        Review/Preview
        Practice
      4. Strings
        Create with Quotes

        Create with str()
        Escape with \
        Combine with +
        Duplicate with *
        Get a Character by [ offset ]
        Get a Substring with a Slice
        Get Length with len()
        Split with split()
        Combine with join()
        Substitute with replace()
        Work with Prefixes and Suffixes
        Strip with strip()
        Search and Select
        Change Case
        Set Alignment
        Apply Formatting
        Old style: %
        New style: {} and format()
        Newest Style: f-strings
        Review/Preview
        Practice
      5. Bytes and Bytearray
        Bytes
        Create with Quotes
        Create with bytes()
        Create from a Hex String
        Decode and Encode Bytes and Strings
        Convert to a Hex String
        Get One Byte by [ offset ]
        Get a Slice
        Combine with +
        Repeat with *
        Bytearray
        Create with bytearray()
        Get One Byte by [ offset ]
        Get Multiple Bytes with a Slice
        Modify One Byte by [ offset ]
        Modify Multiple Bytes with replace()
        Modify Multiple Bytes with a Slice
        Insert a Byte with insert()
        Append One Byte with append()
        Append Multiple Bytes with extend()
        Combine with +
        Repeat with *
        Review/Preview
        Practice
      6. If and Match
        Comment with #
        Continue Lines with \
        Compare with if, elif, and else

        TileDB
        Relational Databases
        SQL
        DB-API
        SQLite
        DuckDB
        MySQL
        PostgreSQL
        SQLAlchemy
        Other Database Access Packages
        NoSQL Data Stores
        The dbm Family
        Memcached
        Redis
        Redis Alternative: Valkey?
        Document Databases
        Time-Series Databases
        Graph Databases
        Other NoSQL
        Full-Text Databases
        Vector Databases
        Geospatial Databases
        Review/Preview
        Practice
      24. The Web
        Web Basics
        HTTP Testing
        Telnet
        curl
        HTTPie
        httpbin
        Web Clients
        The Standard Library
        Requests
        Other Web Clients
        Web Servers
        The Simplest Python Web Server
        Web Server Gateway Interface
        ASGI
        Apache
        NGINX
        Other Python Web Servers
        Web Server Frameworks
        Bottle
        Flask
        Django
        FastAPI
        Litestar
        Database Frameworks
        Web Services and Automation

        webbrowser
        webview
        Web APIs and REST
        WebSockets
        Webhooks
        Web Frontends
        htmx
        FastHTML
        Crawl and Scrape
        Scrapy
        Beautiful Soup
        Requests-HTML
        Let's Watch a Movie
        Review/Preview
        Practice
      25. Data Science
        Standard Python
        Format Conversions
        Math
        Complex Numbers
        Calculate Accurate Floating Point Values with decimal
        Perform Rational Arithmetic with fractions
        Use Packed Sequences with array
        Statistics
        Matrix Multiplication
        NumPy
        Make an Array with array()
        Make an Array with arange()
        Make an Array with zeros(), ones(), or random()
        Change an Array's Shape with reshape()
        Get an Element with []
        Array Math
        Linear Algebra
        SciPy
        pandas
        Polars
        DuckDB
        Data Visualization
        Review/Preview
        Practice
      26. AI...
        It Turns Out...
        Expert Systems
        Perceptrons
        The Breakthrough
        Image Recognition: ImageNet and AlexNet
        Large Language Models
        The ChatGPT Moment
        Retrieval Augmented Generation
        Agents

        Efficiency
        Create Models: Python Frameworks
        Current Models
        A Million Models: Hugging Face
        Working Examples With Ollama
        Install Ollama
        Choose a Model
        Choose Another Model
        Ollama References
        References
        Review/Preview
        Practice
      27. Performance
        Computer Hardware
        Measure Timing
        Profile
        Algorithms and Data Structures
        Arrays Versus Lists and Tuples
        Cache
        Cython
        NumPy and SciPy
        C or Rust Extensions
        Taichi
        PyPy
        Numba
        Standard Python JIT
        Mojo
        Background
        Design
        Examples
        Limitations
        Conclusion
        Review/Preview
        Practice
    Appendix: Practice Answers
    Index

        What Is True?
        Do Multiple Comparisons with in
        New: I Am the Walrus
        Match
        Simple Matches
        Structural Matches
        Review/Preview
        Practice
      7. For and While
        Repeat with while
        Cancel with break
        Skip Ahead with continue
        Check break Use with else
        Iterate with for and in
        Cancel with break
        Skip with continue
        Check break Use with else
        Generate Number Sequences with range()
        Review/Preview
        Practice
      8. Tuples and Lists
        Tuples
        Create with Commas and ()
        Create with tuple()
        Get an Item by [ offset ]
        Combine with +
        Duplicate with *
        Compare
        Iterate with for and in
        Modify?
        Lists
        Create with []
        Create or Convert with list()
        Create from a String with split()
        Get an Item by [ offset ]
        Get Items with a Slice
        Add an Item to the End with append()
        Add an Item by Offset with insert()
        Duplicate with *
        Combine with extend() or +
        Change an Item with [ offset ]
        Change Items with a Slice
        Delete an Item by Offset with del
        Delete an Item by Value with remove()
        Get an Item by Offset and Delete It with pop()
        Delete All Items with clear()
        Find an Item's Offset by Value with index()
        Test for a Value with in
        Count Occurrences of a Value with count()
        Convert a List to a String with join()

        Reorder Items with sort() or sorted()
        Get Length with len()
        Assign with =
        Copy with copy(), list(), or a Slice
        Copy Everything with deepcopy()
        Compare Lists
        Iterate with for and in
        Iterate Multiple Sequences with zip()
        Iterate Multiple Sequences with zip_longest()
        Create a List with a Comprehension
        Create Lists of Lists
        Tuples Versus Lists
        There Are No Tuple Comprehensions
        Review/Preview
        Practice
      9. Dictionaries and Sets
        Dictionaries
        Create with {}
        Create with dict()
        Convert with dict()
        Add or Change an Item by [ key ]
        Get an Item by [ key ] or with get()
        Iterate with for and in
        Get Length with len()
        Combine/update dicts
        Delete an Item by Key with del
        Get an Item by Key and Delete It with pop( key )
        Delete All Items with clear()
        Test for a Key with in
        Assign with =
        Copy with copy()
        Copy Everything with deepcopy()
        Compare Dictionaries
        Use Dictionary Comprehensions
        Sets
        Create with set() or {}
        Get Length with len()
        Add an Item with add()
        Delete an Item with remove()
        Combine with |
        Iterate with for and in
        Test for a Value with in
        Use Combinations and Operators
        Create Set Comprehensions
        Create an Immutable Set with frozenset()
        Review/Preview
        Practice
      10. Functions
        Define a Function with def
        Call a Function with Parentheses

        Arguments and Parameters
        None, Truthiness, and Falsiness
        Positional Arguments
        Keyword Arguments
        Default Parameter Values
        Pack/Unpack Positional Arguments with *
        Pack/Unpack Keyword Arguments with **
        Keyword-Only (*) and Position-Only () Arguments
        Mutable and Immutable Arguments
        Docstrings
        Functions Are First-Class Citizens
        Function Arguments Are Not a Tuple
        Inner Functions
        Closures
        Anonymous Functions: Lambda
        Generators
        Generator Functions
        Generator Comprehensions
        Decorators
        Namespaces and Scope
        Dunder Names
        Recursion
        Async Functions, Briefly
        Exceptions
        Handle Errors with try and except
        Use Finally
        Make Your Own Exceptions
        Review/Preview
        Practice
      11. Objects
        What Are Objects?
        Simple Objects
        Define a Class with class
        Assign Attributes
        Methods
        Initialization
        Inheritance
        Inherit from a Parent Class
        Override a Method
        Add a Method
        Get Help from Your Parent with super()
        Use Multiple Inheritance
        Include Mixins
        In self Defense
        Attribute Access
        Direct Access
        Getters and Setters
        Properties for Attribute Access
        Properties for Computed Values
        Name Mangling for Privacy

        Class and Object Attributes
        Method Types
        Instance Methods
        Class Methods
        Static Methods
        Duck Typing
        Magic Methods
        Aggregation and Composition
        When to Use Objects or Something Else
        Named Tuples
        Dataclasses
        Attrs
        Review/Preview
        Practice
    Part II.  Tools
      12. Modules and Packages
        Modules and the import Statement
        Import a Module
        Import a Module with Another Name
        Import Only What You Want from a Module
        Packages
        The Module Search Path
        Relative and Absolute Imports
        Namespace Packages
        Modules Versus Objects
        Goodies in the Python Standard Library
        Handle Missing Keys with setdefault() and defaultdict()
        Count Items with Counter()
        Order by Key with OrderedDict()
        Stack + Queue == deque
        Iterate over Code Structures with itertols
        Get Random
        More Batteries: Get Other Python Code
        Review/Preview
        Practice
      13. Development Environment
        Find Python Code
        Install Packages
        Use Pip
        Install with a Native Package Manager
        Install from Source
        Virtual Environments
        Virtualenv and Venv
        Pipenv
        Poetry
        Conda
        uv
        Integrated Development Environments
        IPython
        Jupyter Notebook

        JupyterLab
        Source Control
        Mercurial
        Git
        Review/Preview
        Practice
      14. Type Hints and Documentation
        Type Hints
        Variable Hints
        Function Hints
        Mypy
        Documentation
        Comments
        Docstrings
        Markup Text Files
        Review/Preview
        Practice
      15. Testing
        Pylint
        Ruff
        Unittest
        Doctest
        Pytest
        Examples
        Fixtures
        Parametrization
        Hypothesis
        Nox
        Continuous Integration
        Review/Preview
        Practice
      16. Debugging
        Assert
        Print
        F-strings
        Pprint()
        IceCream
        Decorators
        Logging
        Pdb
        Breakpoint()
        Review/Preview
        Practice
    Part III.  Quests
      17. Text Data
        Text Strings: Unicode
        Python Unicode Strings
        UTF-8
        Encode
        Decode

        HTML Entities
        Normalization
        Text Strings: Regular Expressions
        Find Exact Beginning Match with match()
        Find First Match with search()
        Find All Matches with findall()
        Split at Matches with split()
        Replace at Matches with sub()
        Patterns
        Using Special Characters
        Using Specifiers
        Specifying match() Output
        Review/Preview
        Practice
      18. Binary Data
        Convert Binary Data with struct
        Extraction with Binary Data Tools
        Convert Bytes/Strings with binascii()
        Use Bit Operators
        Review/Preview
        Practice
      19. Dates and Times
        Leap Year
        The datetime Module
        The time Module
        Read and Write Dates and Times
        All the Conversions
        Alternative Modules
        Review/Preview
        Practice
      20. Files
        File Input and Output
        Create or Open with open()
        Write a Text File with print()
        Write a Text File with write()
        Read a Text File with read(), readline(), or readlines()
        Write a Binary File with write()
        Read a Binary File with read()
        Close Files Automatically by Using with
        Change Position with seek()
        Memory Mapping
        File Operations
        Check Existence with exists()
        Check Type with isfile()
        Copy with copy()
        Change Name with rename()
        Link with link() or symlink()
        Change Permissions with chmod()
        Change Ownership with chown()
        Delete a File with remove()

        Directory Operations
        Create with mkdir()
        Delete with rmdir()
        List Contents with listdir()
        Change Current Directory with chdir()
        List Matching Files with glob()
        Pathnames
        Get a Pathname with abspath()
        Get a symlink Pathname with realpath()
        Build a Pathname with os.path.join()
        Use pathlib
        BytesIO and StringIO
        File Formats: Determination
        Review/Preview
        Practice
      21. Data in Time: Concurrency
        Programs and Processes
        Create a Process with subprocess
        Create a Process with multiprocessing
        Kill a Process with terminate()
        Get System Info with os
        Get Process Info with psutil
        Command Automation
        Invoke
        Other Command Helpers
        Concurrency
        Queues
        Processes
        Threads
        The GIL
        Concurrent.futures
        Green Threads and gevent
        Twisted
        asyncio
        Coroutines and Event Loops
        Asyncio Alternatives
        Async Versus...
        Async Frameworks and Servers
        Redis
        Beyond Queues
        Review/Preview
        Practice
      22. Data in Space: Networks
        TCP/IP
        Sockets
        Scapy
        Netcat
        Networking Patterns
        The Request-Reply Pattern
        Request-Reply: ZeroMQ

        Request-Reply: Other Messaging Tools
        The Publish-Subscribe Pattern
        Pub-Sub: Redis
        Pub-Sub: ZeroMQ
        Pub-Sub: Other Tools
        Internet Services
        Domain Name System
        Python Email Modules
        Other Protocols
        Web Services and APIs
        Data Serialization
        Serialize with pickle
        Use Other Serialization Formats
        Remote Procedure Calls
        XML-RPC
        JSON RPC
        MessagePack RPC
        zerorpc
        gRPC
        Remote Management
        Big Fat Data
        Hadoop
        Spark
        Disco
        Dask
        Clouds
        Amazon Web Services
        Google Cloud
        Microsoft Azure
        OpenStack
        Docker
        Kubernetes
        Review/Preview
        Practice
      23. Data in a Box: Persistent Storage
        Text Files
        Tabular and Delimited Text Files
        CSV
        XML
        An XML Security Note
        HTML
        JSON
        YAML
        TOML
        Tablib
        Configuration Files
        Binary Files
        Padded Binary Files and Memory Mapping
        Spreadsheets
        HDF5