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Python入門(影印版第3版)(英文版)

  • 作者:(美)比爾·盧布諾維克|責編:張燁
  • 出版社:東南大學
  • ISBN:9787576627701
  • 出版日期:2026/07/01
  • 裝幀:平裝
  • 頁數:622
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內容大鋼
    本書面向Python零基礎學習者構建了循序漸進的完整知識體系。
    全書分為三大核心板塊:第一部分「基礎要塞」從Python環境搭建起步,逐一講解類型變數、數值、字元串、位元組序列、流程式控制制、元組列表、字典集合、函數與面向對象等核心語法,配套隨堂練習鞏固基礎認知。第二部分「工具集」聚焦Python開發全流程實用技能,覆蓋模塊包管理、開發環境配置、類型提示規範、測試與調試方法,幫讀者建立標準化工程思維。第三部分「進階探索」延伸至文本處理、二進位操作、日期處理、文件IO、併發編程、網路開發、數據持久化、Web開發、數據科學、AI應用與性能優化等前沿實用場景,完整覆蓋Python主流應用方向。
    全書內容兼顧基礎嚴謹性與技術時效性,配套大量實操案例與練習答案,是適合入門讀者從零掌握Python、銜接工業級應用的全面指南。

作者介紹
(美)比爾·盧布諾維克|責編:張燁
    比爾·盧布諾維克(Bill Lubanovic),從1977年開始使用unix開發軟體,1981年開始使用GUI,1990年開始使用資料庫,1993年開始使用Web。目前,他正在開發用於醫學成像的Web資料庫服務。

目錄
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

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