Table of Contents
Fluent Python, 2nd Edition by Luciano Ramalho Table of Contents
Return to Fluent Python, 2nd Edition, Python, Python DevOps - Python Data Science - Python MLOps, Python Bibliography
I. Prologue
I. Prologue
- 1. The Python Data Model A Pythonic Card Deck
- How Special Methods Are Used Emulating Numeric Types
II. Data Structures
II. Data Structures
- list.sort and the sorted Built-In Function
4. Text versus Bytes - Character Issues
Byte Essentials - Structs and Memory Views
Understanding Encode/Decode Problems Coping with UnicodeEncodeError
Coping with UnicodeDecodeError
SyntaxError When Loading Modules with Unexpected Encoding
How to Discover the Encoding of a Byte Sequence
Handling Text Files Encoding Defaults: A Madhouse
Normalizing Unicode for Saner Comparisons - Case Folding
Utility Functions for Normalized Text Matching
Extreme “Normalization”: Taking Out Diacritics
Sorting Unicode Text Sorting with the Unicode Collation Algorithm
The Unicode Database
Dual-Mode str and bytes APIs str Versus bytes in Regular Expressions
str Versus bytes on os Functions
III. Functions as Objects
III. Functions as Objects
5. First-Class Functions Treating a Function Like an Object
Higher-Order Functions - Modern Replacements for map, filter, and reduce
The Seven Flavors of Callable Objects
From Positional to Keyword-Only Parameters
Retrieving Information About Parameters
Packages for Functional Programming - The operator Module
Freezing Arguments with functools.partial
6. Design Patterns with First-Class Functions Case Study: Refactoring Strategy Classic Strategy
Choosing the Best Strategy: Simple Approach
Finding Strategies in a Module
7. Function Decorators and Closures Decorators 101
When Python Executes Decorators
Decorator-Enhanced Strategy Pattern
The nonlocal Declaration
Implementing a Simple Decorator How It Works
Decorators in the Standard Library Memoization with functools.lru_cache
Generic Functions with Single Dispatch
Parameterized Decorators A Parameterized Registration Decorator
IV. Object-Oriented Idioms
8. Object References, Mutability, and Recycling Variables Are Not Boxes
Identity, Equality, and Aliases Choosing Between == and is
The Relative Immutability of Tuples
Copies Are Shallow by Default - Deep and Shallow Copies of Arbitrary Objects
Function Parameters as References - Mutable Types as Parameter Defaults: Bad Idea
Defensive Programming with Mutable Parameters
Weak References The WeakValueDictionary Skit
Limitations of Weak References
Tricks Python Plays with Immutables
9. A Pythonic Object Object Representations
classmethod Versus staticmethod
Private and “Protected” Attributes in Python
Saving Space with the __slots__ Class Attribute - The Problems with __slots__ (dunder slots)
10. Sequence Hacking, Hashing, and Slicing Vector: A User-Defined Sequence Type
Vector Take #1: Vector2d Compatible
Vector Take #2: A Sliceable Sequence How Slicing Works
A Slice-Aware __getitem__ (dunder getitem)
Vector Take #3: Dynamic Attribute Access
Vector Take #4: Hashing and a Faster ==
Vector Take #5: Formatting
11. Interfaces: From Protocols to ABCs - Interfaces and Protocols in Python Culture
Monkey-Patching to Implement a Protocol at Runtime
ABCs in the Standard Library ABCs in collections.abc
Defining and Using an ABC - ABC Syntax Details
A Virtual Subclass of Tombola
How the Tombola Subclasses Were Tested
12. Inheritance: For Good or For Worse Subclassing Built-In Types Is Tricky
Multiple Inheritance and Method Resolution Order
Multiple Inheritance in the Real World
Coping with Multiple Inheritance - 1. Distinguish Interface Inheritance from Implementation Inheritance
2. Make Interfaces Explicit with ABCs
3. Use Mixins for Code Reuse
4. Make Mixins Explicit by Naming
5. An ABC May Also Be a Mixin; The Reverse Is Not True
6. Don't Subclass from More Than One Concrete [[Class
7. Provide Aggregate Classes to Users
8. “Favor Object Composition Over Class Inheritance.”
Tkinter: The Good, the Bad, and the Ugly
A Modern Example: Mixins in Django Generic Views
13. Operator Overloading: Doing It Right Operator Overloading 101
Overloading + for Vector Addition
- for Scalar Multiplication
Augmented Assignment Operators
==V. Control Flow==V. Control Flow
14. Iterables, Iterators, and Generators Sentence Take #1: A Sequence of Words Why Sequences Are Iterable: The iter Function
Sentence Take #2: A Classic Iterator Making Sentence an Iterator: Bad Idea
Sentence Take #3: A Generator Function How a Generator Function Works
Sentence Take #4: A Lazy Implementation
Sentence Take #5: A Generator Expression
Generator Expressions: When to Use Them
Another Example: Arithmetic Progression Generator Arithmetic Progression with itertools
Generator Functions in the Standard Library
New Syntax in Python 3.3: yield from
A Closer Look at the iter Function
Case Study: Generators in a Database Conversion Utility
15. Context Managers and else Blocks Do This, Then That: else Blocks Beyond if
Context Managers and with Blocks
The contextlib Utilities
16. Coroutines How Coroutines Evolved from Generators
Basic Behavior of a Generator Used as a Coroutine
Example: Coroutine to Compute a Running Average
Decorators for Coroutine Priming
Coroutine Termination and Exception Handling
Returning a Value from a Coroutine
The Meaning of yield from
Use Case: Coroutines for Discrete Event Simulation About Discrete Event Simulations
The Taxi Fleet Simulation
17. Concurrency with Futures Example: Web Downloads in Three Styles A Sequential Download Script
Downloading with concurrent.futures
Where Are the Futures?
Blocking I/O and the GIL
Launching Processes with concurrent.futures
Experimenting with Executor.map
Downloads with Progress Display and Error Handling Error Handling in the flags2 Examples
Threading and Multiprocessing Alternatives
18. Concurrency with asyncio Thread Versus Coroutine: A Comparison asyncio.Future: Nonblocking by Design
Yielding from Futures, Tasks, and Coroutines
Downloading with asyncio and aiohttp
Running Circles Around Blocking Calls
Enhancing the asyncio downloader Script Using asyncio.as_completed
Using an Executor to Avoid Blocking the Event Loop
From Callbacks to Futures and Coroutines Doing Multiple Requests for Each Download
Writing asyncio Servers An asyncio TCP Server
Smarter Clients for Better Concurrency
VI. Metaprogramming
19. Dynamic Attributes and Properties Data Wrangling with Dynamic Attributes Exploring JSON-Like Data with Dynamic Attributes
The Invalid Attribute Name Problem
Flexible Object Creation with __new__ (dunder new)
Restructuring the OSCON Feed with shelve
Linked Record Retrieval with Properties
Using a Property for Attribute Validation LineItem Take #1: Class for an Item in an Order
LineItem Take #2: A Validating Property
A Proper Look at Properties Properties Override Instance Attributes
Essential Attributes and Functions for Attribute Handling Special Attributes that Affect Attribute Handling
Built-In Functions for Attribute Handling
Special Methods for Attribute Handling
20. Attribute Descriptors Descriptor Example: Attribute Validation LineItem Take #3: A Simple Descriptor
LineItem Take #4: Automatic Storage Attribute Names
LineItem Take #5: A New Descriptor Type
Overriding Versus Nonoverriding Descriptors Overriding Descriptor
Overriding Descriptor Without __get__
Overwriting a Descriptor in the Class
Descriptor docstring and Overriding Deletion
21. Class Metaprogramming A Class Factory
A Class Decorator for Customizing Descriptors
What Happens When: Import Time Versus Runtime The Evaluation Time Exercises
Metaclasses 101 The Metaclass Evaluation Time Exercise
A Metaclass for Customizing Descriptors
The Metaclass __prepare__ Special Method (dunder prepare)
A. Support Scripts Chapter 3: in Operator Performance Test
Chapter 3: Compare the Bit Patterns of Hashes
Chapter 9: RAM Usage With and Without __slots__
Chapter 14: isis2json.py Database Conversion Script
Chapter 16: Taxi Fleet Discrete Event Simulation
Chapter 17: Cryptographic Examples
Chapter 17: flags2 HTTP Client Examples
Python Vocabulary List (Sorted by Popularity)
Python Programming Language, Python Interpreter, Python Standard Library, Python Virtual Environment, Python pip (Pip Installs Packages), Python List, Python Dictionary, Python String, Python Function, Python Class, Python Module, Python Package, Python Object, Python Tuple, Python Set, Python Import Statement, Python Exception, Python Decorator, Python Lambda Function, Python Generator, Python Iterable, Python Iterator, Python Comprehension, Python Built-in Function, Python Built-in Type, Python Keyword, Python Conditional Statement, Python Loop, Python For Loop, Python While Loop, Python If Statement, Python elif Statement, Python else Statement, Python Pass Statement, Python Break Statement, Python Continue Statement, Python None Object, Python True, Python False, Python Boolean, Python Integer, Python Float, Python Complex Number, Python Type Hint, Python Annotations, Python File Handling, Python Open Function, Python With Statement, Python Context Manager, Python Exception Handling, Python Try-Except Block, Python Finally Block, Python Raise Statement, Python Assertion, Python Module Search Path, Python sys Module, Python os Module, Python math Module, Python datetime Module, Python random Module, Python re Module (Regular Expressions), Python json Module, Python functools Module, Python itertools Module, Python collections Module, Python pathlib Module, Python subprocess Module, Python argparse Module, Python logging Module, Python unittest Module, Python doctest Module, Python pdb (Python Debugger), Python venv (Virtual Environment), Python PyPI (Python Package Index), Python setuptools, Python distutils, Python wheel, Python pyproject.toml, Python requirements.txt, Python setup.py, Python IDLE, Python REPL (Read-Eval-Print Loop), Python Shebang Line, Python Bytecode, Python Compilation, Python CPython Interpreter, Python PyPy Interpreter, Python Jython Interpreter, Python IronPython Interpreter, Python GIL (Global Interpreter Lock), Python Garbage Collection, Python Memory Management, Python Reference Counting, Python Weak Reference, Python C Extension, Python Extension Modules, Python WSGI (Web Server Gateway Interface), Python ASGI (Asynchronous Server Gateway Interface), Python Django Framework, Python Flask Framework, Python Pyramid Framework, Python Bottle Framework, Python Tornado Framework, Python FastAPI Framework, Python aiohttp Framework, Python Sanic Framework, Python Requests Library, Python urllib Module, Python urllib3 Library, Python BeautifulSoup (HTML Parser), Python lxml (XML Processing), Python Selenium Integration, Python Scrapy Framework, Python Gunicorn Server, Python uWSGI Server, Python mod_wsgi, Python Jinja2 Template, Python Mako Template, Python Chameleon Template, Python Asyncio Library, Python Coroutines, Python Await Statement, Python async/await Syntax, Python Async Generator, Python Event Loop, Python asyncio.gather, Python asyncio.run, Python subprocess.run, Python concurrent.futures, Python Threading Module, Python Multiprocessing Module, Python Queue Module, Python Lock, Python RLock, Python Semaphore, Python Event, Python Condition Variable, Python Barrier, Python Timer, Python Socket Module, Python select Module, Python ssl Module, Python ftplib, Python smtplib, Python imaplib, Python poplib, Python http.client, Python http.server, Python xmlrpc.client, Python xmlrpc.server, Python socketserver Module, Python codecs Module, Python hashlib Module, Python hmac Module, Python secrets Module, Python base64 Module, Python binascii Module, Python zlib Module, Python gzip Module, Python bz2 Module, Python lzma Module, Python tarfile Module, Python zipfile Module, Python shutil Module, Python glob Module, Python fnmatch Module, Python tempfile Module, Python time Module, Python threading.Thread, Python multiprocessing.Process, Python subprocess.Popen, Python logging.Logger, Python logging.Handler, Python logging.Formatter, Python logging.FileHandler, Python logging.StreamHandler, Python logging.config, Python warnings Module, Python traceback Module, Python atexit Module, Python signal Module, Python locale Module, Python getpass Module, Python readline Module, Python rlcompleter Module, Python platform Module, Python sys.path, Python sys.argv, Python sys.exit, Python sys.stdin, Python sys.stdout, Python sys.stderr, Python sys.getsizeof, Python sys.setrecursionlimit, Python sys.version, Python sys.platform, Python sys.modules, Python gc Module, Python gc.collect, Python gc.set_threshold, Python inspect Module, Python inspect.getmembers, Python inspect.signature, Python dis Module, Python disassemble, Python marshal Module, Python tokenize Module, Python tokenize.generate_tokens, Python ast Module, Python ast.parse, Python compile Function, Python eval Function, Python exec Function, Python frozenset, Python bytes Type, Python bytearray Type, Python memoryview Type, Python slice Object, Python range Object, Python reversed Function, Python enumerate Function, Python zip Function, Python map Function, Python filter Function, Python reduce Function, Python sum Function, Python min Function, Python max Function, Python round Function, Python abs Function, Python divmod Function, Python pow Function, Python sorted Function, Python any Function, Python all Function, Python isinstance Function, Python issubclass Function, Python dir Function, Python help Function, Python vars Function, Python id Function, Python hash Function, Python ord Function, Python chr Function, Python bin Function, Python oct Function, Python hex Function, Python repr Function, Python ascii Function, Python callable Function, Python format Function, Python globals, Python locals, Python super Function, Python breakpoint Function, Python input Function, Python print Function, Python open Function, Python eval Function (Repeat noted), Python classmethod, Python staticmethod, Python property Decorator, Python __init__ Method, Python __str__ Method, Python __repr__ Method, Python __eq__ Method, Python __hash__ Method, Python __lt__ Method, Python __le__ Method, Python __gt__ Method, Python __ge__ Method, Python __ne__ Method, Python __add__ Method, Python __sub__ Method, Python __mul__ Method, Python __truediv__ Method, Python __floordiv__ Method, Python __mod__ Method, Python __pow__ Method, Python __len__ Method, Python __getitem__ Method, Python __setitem__ Method, Python __delitem__ Method, Python __contains__ Method, Python __iter__ Method, Python __next__ Method, Python __enter__ Method, Python __exit__ Method, Python __call__ Method, Python __new__ Method, Python __init_subclass__ Method, Python __class_getitem__ Method, Python __mro__, Python __name__ Variable, Python __main__ Module, Python __doc__, Python __package__, Python __file__, Python __debug__, Python unittest.TestCase, Python unittest.main, Python unittest.mock, Python unittest.mock.patch, Python unittest.mock.Mock, Python pytest Framework, Python pytest.mark, Python 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Python random.seed, Python datetime.utcnow, Python datetime.now, Python datetime.strptime, Python datetime.strftime, Python timezone.utc, Python zoneinfo.ZoneInfo, Python re.IGNORECASE, Python re.MULTILINE, Python re.DOTALL, Python re.VERBOSE, Python re.IGNORECASE Flag, Python logging.getLogger, Python logging.addHandler, Python logging.setLevel, Python logging.LoggerAdapter, Python warnings.warn, Python warnings.simplefilter, Python pdb.set_trace, Python pdb.runcall, Python pdb.runctx, Python inspect.isfunction, Python inspect.ismethod, Python inspect.isclass, Python inspect.getsource, Python inspect.getdoc, Python ast.literal_eval, Python compile(source), Python eval(expression), Python exec(statement), Python frozenset Literal, Python memoryview Slice, Python slice.start, Python slice.stop, Python slice.step, Python range.start, Python range.stop, Python range.step, Python enumerate(start), Python zip_longest, Python map(func), Python filter(func), Python reduce(func), Python 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Variables, Data Types, Control Structures, Loops, Functions, Modules, Packages, File Handling, Errors and Exceptions, Classes and Objects, Inheritance, Polymorphism, Encapsulation, Abstraction, Lists, Dictionaries, Tuples, Sets, String Manipulation, Regular Expressions, Comprehensions, Lambda Functions, Map, Filter, and Reduce, Decorators, Generators, Context Managers, Concurrency with Threads, Asynchronous Programming, Multiprocessing, Networking, Database Interaction, Debugging, Testing and Unit Testing, Virtual Environments, Package Management, Data Analysis, Data Visualization, Web Scraping, Web Development with Flask/Django, API Interaction, GUI Programming, Game Development, Security and Cryptography, Blockchain Programming, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, Scientific Computing, Data Engineering, Cloud Computing, DevOps Tools, Performance Optimization, Design Patterns, Type Hints, Version Control with Git, Documentation, Internationalization and Localization, Accessibility, Configurations and Environments, Continuous Integration/Continuous Deployment, Algorithm Design, Problem Solving, Code Readability, Software Architecture, Refactoring, Integration with Other Languages, Microservices Architecture, Serverless Computing, Big Data Analysis, Internet of Things (IoT), Geospatial Analysis, Quantum Computing, Bioinformatics, Ethical Hacking, Artificial Intelligence, Augmented Reality and Virtual Reality, Blockchain Applications, Chatbots, Voice Assistants, Edge Computing, Graph Algorithms, Social Network Analysis, Time Series Analysis, Image Processing, Audio Processing, Video Processing, 3D Programming, Parallel Computing, Event-Driven Programming, Reactive Programming.
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