python_await_expression

Python Await expression

Certainly! Below is a comprehensive explanation of the Python `await` expression, formatted in MediaWiki syntax. This includes details on asynchronous programming in Python, with references to the official Python documentation and code examples.

Introduction to Asynchronous Programming

Asynchronous programming in Python is achieved through the use of coroutines, which are special functions that can suspend and resume execution. The `await` expression is a key part of this system, allowing the program to yield execution to the event loop, which can run other tasks while waiting for an operation to complete. This is particularly useful for IO-bound and high-latency operations. More details can be found in the Python documentation: s://docs.python.org/3/library/asyncio-task.html(https://docs.python.org/3/library/asyncio-task.html).

Understanding `await`

The `await` expression is used to pause the execution of a coroutine until the result of an awaitable object is available. This makes it a cornerstone of asynchronous programming in Python, enabling efficient concurrency. It can only be used within a coroutine. Official documentation: s://docs.python.org/3/reference/expressions.html#await(https://docs.python.org/3/reference/expressions.html#await).

The Role of the Event Loop

The event loop is the core of the asynchronous execution model in Python. It manages the execution of coroutines, handling IO operations, executing callbacks, and managing events. The `await` expression yields control from the current coroutine back to the event loop, which can then carry on with other tasks. s://docs.python.org/3/library/asyncio-eventloop.html(https://docs.python.org/3/library/asyncio-eventloop.html).

Awaitable Objects

In Python's asynchronous model, an object is awaitable if it can be used in an `await` expression. Typically, this includes coroutines, Tasks, and Futures. Awaitable objects are those that define an `__await__()` method, which returns an iterator that is iterated by the `await` expression. Documentation: s://docs.python.org/3/glossary.html#term-awaitable(https://docs.python.org/3/glossary.html#term-awaitable).

Creating Coroutines with `async def`

Coroutines are defined using the `async def` syntax. This special function can contain `await`, `async for`, and `async with` statements. Unlike regular functions, calling a coroutine does not immediately execute it but returns a coroutine object, which can be awaited. s://docs.python.org/3/reference/compound_stmts.html#async-def(https://docs.python.org/3/reference/compound_stmts.html#async-def).

Running Coroutines with asyncio.run()

To run a coroutine, Python 3.7+ introduced `asyncio.run()`, which takes a coroutine, runs it to completion, and returns the result. This function sets up the event loop, executes the given coroutine, and closes the loop. It is the main entry point for asyncio programs. s://docs.python.org/3/library/asyncio-task.html#asyncio.run(https://docs.python.org/3/library/asyncio-task.html#asyncio.run).

Tasks: Running Coroutines Concurrently

A Task is a subclass of Future used to wrap a coroutine, allowing coroutine execution to be scheduled concurrently. When a coroutine is wrapped into a Task with functions like `asyncio.create_task()`, it's automatically scheduled to run soon in the event loop. s://docs.python.org/3/library/asyncio-task.html#task(https://docs.python.org/3/library/asyncio-task.html#task).

Futures: Awaitable Objects

A Future is an awaitable object that represents an eventual result of an asynchronous operation. Unlike Tasks, which are high-level structures tied to coroutines, Futures are low-level awaitables indicating the state (pending, done, cancelled) of an ongoing operation. s://docs.python.org/3/library/asyncio-future.html(https://docs.python.org/3/library/asyncio-future.html).

The `async for` Statement

The `async for` statement is used to iterate over an asynchronous iterator. This allows for the asynchronous iteration of sequences, with each iteration step being awaited. It's a key part of asynchronous programming for handling sequences of asynchronous operations. s://docs.python.org/3/reference/compound_stmts.html#async-for(https://docs.python.org/3/reference/compound_stmts.html#async-for).

The `async with` Statement

Similarly, the `async with` statement is used to manage asynchronous context managers, which are objects that define `__aenter__` and `__aexit__` methods. It allows for asynchronous setup and teardown operations, crucial for managing resources such as file streams or network connections. s:// docs.python.org/3/reference/compound_stmts.html#async-with(https://docs.python.org/3/reference/compound_stmts.html#async-with).

Error Handling in Asynchronous Programs

Error handling in asynchronous Python programs can be achieved using the traditional `try` and `except` blocks within coroutines. This allows for the catching and handling of exceptions raised during the execution of awaitable objects. s://docs.python.org/3/tutorial/errors.html#handling-exceptions(https://docs.python.org/3/tutorial/errors.html#handling-exceptions).

Debugging Asynchronous Programs

Debugging asynchronous programs can be challenging due to their concurrent nature. Python's asyncio module provides debugging support, including the detection of forgotten awaiting of coroutines and other common issues. s://docs.python.org/3/library/asyncio-dev.html(https://docs.python.org/3/library/asyncio-dev.html).

Performance Considerations

While asynchronous programming can greatly improve the efficiency of IO-bound and high-latency applications, it also introduces overhead. Understanding the trade-offs and when to use asynchronous programming is key to achieving the best performance. s://docs.python.org/3/library/asyncio.html(https://docs.python.org/3/library/asyncio.html).

Best Practices

Best practices for asynchronous programming in Python include using `asyncio` and related libraries for IO-bound tasks, avoiding blocking operations in coroutines, and properly managing event loops and contexts. These practices ensure efficient and maintainable code. s://docs.python.org/3/library/asyncio.html(https://docs.python.org/3/library/asyncio.html).

Code Examples

Example 1: Basic Coroutine with `await`

```python import asyncio

async def main():

   print('Hello')
   await asyncio.sleep(1)
   print('world')

asyncio.run(main()) ```

Example 2: Using `await` with Tasks

```python import asyncio

async def say_after(delay, what):

   await asyncio.sleep(delay)
   print(what)

async def main():

   task1 = asyncio.create_task(say_after(1, 'hello'))
   task2 = asyncio.create_task(say_after(2, 'world'))
   await task1
   await task2

asyncio.run(main()) ```

Example 3: Concurrent Execution of Coroutines

```python import asyncio

async def main():

   await asyncio.gather(
       say_after(1, 'hello'),
       say_after(2, 'world'),
   )

asyncio.run(main()) ```

Example 4: Asyncio Stream for TCP Echo Client

```python import asyncio

async def tcp_echo_client(message):

   reader, writer = await asyncio.open_connection('127.0.0.1', 8888)
   print(f'Send: {message}')
   writer.write(message.encode())
   await writer.drain()
   data = await reader.read(100)
   print(f'Received: {data.decode()}')
   writer.close()
   await writer.wait_closed()

asyncio.run(tcp_echo_client('Hello World!')) ```

Example 5: Asynchronous Iteration

```python import asyncio

class AsyncIterable:

   async def __aiter__(self):
       for i in range(5):
           yield i
           await asyncio.sleep(1)

async def main():

   async for i in AsyncIterable():
       print(i)

asyncio.run(main()) ```

These examples demonstrate the versatility and power of Python's `await` expression and asynchronous programming, from basic coroutines to more complex scenarios involving tasks, streams, and asynchronous iteration.

Polyglot Programmer Comparison

As a polyglot programmer, we should compare and contrast programming languages:

The Python `await` expression is a fundamental aspect of asynchronous programming in the language, enabling non-blocking coroutine execution. Let's compare this with equivalent constructs in other languages, noting the differences in syntax and behavior.

Java - CompletableFuture

Java does not have a direct equivalent to Python's `await`, but asynchronous programming can be achieved with `CompletableFuture`. Introduced in Java 8, `CompletableFuture` allows for asynchronous computation and non-blocking operations. Unlike Python's `await`, which pauses coroutine execution, `CompletableFuture` uses callbacks for completion or combines multiple futures in a non-blocking way. Java documentation: s://docs.oracle.com/javase/8/docs/api/java/util/concurrent/CompletableFuture.html(https://docs.oracle.com/javase/8/docs/api/java/util/concurrent/CompletableFuture.html). ```java CompletableFuture<String> completableFuture = CompletableFuture.supplyAsync1)]

     (println hello)))
```

Each language has developed its mechanisms and idioms for handling asynchronous operations, reflecting different priorities in language design and application domains. Python's `await` expression, part of its async/await syntax, represents a high-level, coroutine-based approach to asynchronous programming, prioritizing ease of use and readability.


Async Programming: Async Programming Best Practices, Asynchronous Programming Fundamentals, Promises and Futures, Async C, Async C++, Async C, Async Clojure, Async Dart, Async Golang, Async Haskell, Async Java (RxJava), Async JavaScript, Async Kotlin, Async PowerShell, Async Python, Async Ruby, Async Scala, Async TypeScript, Async Programming Bibliography, Manning Concurrency Async Parallel Programming Series. (navbar_async - see also navbar_concurrency, navbar_python_concurrency, navbar_golang_concurrency, navbar_java_concurrency)

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 pytest fixtures, Python nose2 Testing, Python tox Tool, Python coverage Tool, Python hypothesis Testing, Python black Formatter, Python isort Tool, Python flake8 Linter, Python pylint Linter, Python mypy Type Checker, Python bandit Security Linter, Python pydoc Documentation, Python Sphinx Documentation, Python docstrings, Python reStructuredText, Python unittest.mock.MagicMock, Python unittest.mock.MockReturnValue, Python unittest.mock.MockSideEffect, Python argparse.ArgumentParser, Python argparse Namespace, Python configparser Module, Python configparser.ConfigParser, Python json.dumps, Python json.loads, Python json.dump, Python json.load, Python decimal Module, Python fractions Module, Python statistics Module, Python heapq Module, Python bisect Module, Python math.sqrt, Python math.floor, Python math.ceil, Python math.isnan, Python math.isinf, Python math.pi, Python math.e, Python math.gamma, Python random.random, Python random.randint, Python random.choice, Python random.shuffle, Python random.sample, Python datetime.datetime, Python datetime.date, Python datetime.time, Python datetime.timedelta, Python datetime.timezone, Python calendar Module, Python zoneinfo Module, Python locale.getdefaultlocale, Python glob.glob, Python fnmatch.filter, Python shutil.copy, Python shutil.move, Python tempfile.NamedTemporaryFile, Python tempfile.TemporaryDirectory, Python zipfile.ZipFile, Python tarfile.open, Python gzip.open, Python bz2.open, Python lzma.open, Python pickle Module, Python pickle.dump, Python pickle.load, Python shelve Module, Python sqlite3 Module, Python sqlite3.connect, Python http.server.HTTPServer, Python http.server.BaseHTTPRequestHandler, Python wsgiref.simple_server, Python xml.etree.ElementTree, Python xml.etree.Element, Python xml.etree.SubElement, Python configparser.ConfigParser.write, Python configparser.ConfigParser.read, Python re.search, Python re.match, Python re.findall, Python re.split, Python re.sub, Python re.compile, Python logging.basicConfig, Python logging.debug, Python logging.info, Python logging.warning, Python logging.error, Python logging.critical, Python collections.Counter, Python collections.defaultdict, Python collections.OrderedDict, Python collections.deque, Python collections.namedtuple, Python collections.ChainMap, Python dataclasses.dataclass, Python dataclasses.field, Python enum.Enum, Python enum.auto, Python typing Module, Python typing.List, Python typing.Dict, Python typing.Union, Python typing.Optional, Python typing.Any, Python typing.TypeVar, Python typing.Generic, Python typing.Protocol, Python typing.NamedTuple, Python functools.lru_cache, Python functools.reduce, Python functools.partial, Python functools.singledispatch, Python operator Module, Python operator.itemgetter, Python operator.attrgetter, Python operator.methodcaller, Python itertools.chain, Python itertools.product, Python itertools.permutations, Python itertools.combinations, Python itertools.groupby, Python itertools.accumulate, Python parse Library, Python pathlib.Path, Python pathlib.Path.resolve, Python pathlib.Path.mkdir, Python pathlib.Path.rmdir, Python pathlib.Path.unlink, Python pathlib.Path.glob, Python pathlib.Path.read_text, Python pathlib.Path.write_text, Python subprocess.check_call, Python subprocess.check_output, Python subprocess.call, Python unittest.mock.ANY, Python importlib Module, Python importlib.import_module, Python importlib.resources, Python pkgutil Module, Python runpy Module, Python pip wheel, Python pip install, Python pip freeze, Python pip uninstall, Python build Tools, Python twine Upload, Python poetry Package Manager, Python poetry.lock File, Python Hatch Project, Python virtualenv Tool, Python conda Environment, Python cffi Module, Python ctypes Module, Python ctypes.CDLL, Python ctypes.Structure, Python cProfile Module, Python pstats Module, Python timeit Module, Python imaplib.IMAP4, Python smtplib.SMTP, Python ssl.create_default_context, Python email.message.EmailMessage, Python email.mime.text, Python email.mime.multipart, Python xml.dom.minidom, Python xml.dom.pulldom, Python xml.sax Module, Python xml.sax.handler, Python xml.sax.make_parser, Python configobj Library, Python toml Module, Python tomli Module, Python yaml Module (PyYAML), Python pyenv Tool, Python poetry build, Python poetry publish, Python wheel packaging, Python pyinstaller Tool, Python cx_Freeze, Python nuitka Compiler, Python cython Compiler, Python mypy.ini, Python flake8.ini, Python black --check, Python black --diff, Python pylint.rcfile, Python coverage.py, Python coverage.xml, Python coverage combine, Python coverage html, Python coverage report, Python pytest.ini, Python pytest --cov, Python pytest --lf, Python pytest --ff, Python pytest -k, Python pytest -m, Python docker-compose Integration, Python fabric Library, Python invoke Library, Python pipenv Tool, Python pipenv Pipfile, Python pipenv lock, Python poetry pyproject.toml, Python functools.cache, Python functools.total_ordering, Python decimal.Decimal, Python decimal.Context, Python fractions.Fraction, Python fractions.gcd Deprecated, Python statistics.mean, Python statistics.median, Python statistics.mode, Python statistics.stdev, Python statistics.variance, Python tkinter Module, Python tkinter.Tk, Python tkinter.Frame, Python tkinter.Button, Python tkinter.Label, Python tkinter.Entry, Python tkinter.Text, Python tkinter.Menu, Python tkinter.Canvas, Python tkinter filedialog, Python tkinter messagebox, Python tkinter ttk Widgets, Python turtle Module, Python turtle.Turtle, Python curses Module, Python curses.wrapper, Python sqlite3.Cursor, Python sqlite3.Row, Python sqlite3.RowFactory, memory, Python memoryview.cast, Python bisect.bisect, Python bisect.bisect_left, Python bisect.bisect_right, Python heapq.heappush, Python heapq.heappop, Python heapq.heapify, Python math.factorial, Python math.comb, Python math.perm, Python random.uniform, Python random.gauss, 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 sum(iterable), Python min(iterable), Python max(iterable), Python all(iterable), Python any(iterable), Python isinstance(obj), Python issubclass(cls), Python dir(object), Python help(object), Python vars(object), Python id(object), Python hash(object), Python ord(char), Python chr(int), Python bin(int), Python oct(int), Python hex(int), Python repr(object), Python ascii(object), Python callable(object), Python format(value), Python globals(), Python locals(), Python super(class), Python breakpoint(), Python input(), Python print(), Python open(filename), Python property(fget), Python classmethod(method), Python staticmethod(method), Python __init__.py, Python __main__.py, Python __init__ Module, Python __main__ Execution, Python __doc__ String, Python setuptools.setup, Python setuptools.find_packages, Python distutils.core.setup, Python wheel bdists, Python pyproject.build, Python pydoc CLI, Python Sphinx conf.py, Python docutils Integration, Python unittest.TextTestRunner, Python unittest.TestLoader, Python unittest.TestSuite, Python unittest.skip, Python unittest.expectedFailure, Python unittest.mock.call, Python unittest.mock.Mock.assert_called_with, Python pytest.mark.skip, Python pytest.mark.xfail, Python pytest.mark.parametrize, Python pytest fixture Scope, Python pytest fixture autouse, Python coverage run, Python coverage erase, Python coverage xml, Python coverage json, Python black line-length, Python black target-version, Python pylint --disable, Python pylint --enable, Python flake8 ignore, Python mypy --ignore-missing-imports, Python mypy --strict, Python bandit -r, Python bandit.config, Python cProfile.run, Python pstats.Stats, Python timeit.timeit, Python timeit.repeat, Python multiprocessing.Pool, Python multiprocessing.Queue, Python multiprocessing.Value, Python multiprocessing.Array, Python subprocess.DEVNULL, Python subprocess.PIPE, Python requests.get, Python requests.post, Python requests.put, Python requests.delete, Python requests.Session, Python requests.adapters, Python asyncio.sleep, Python asyncio.create_task, Python asyncio.gather, Python asyncio.wait, Python asyncio.run_until_complete, Python asyncio.Lock, Python asyncio.Semaphore, Python asyncio.Event, Python asyncio.Condition, Python aiohttp.ClientSession, Python aiohttp.web, Python aiohttp.ClientResponse, Python aiohttp.ClientWebSocketResponse, Python websockets.connect, Python websockets.serve, Python sqlalchemy Engine, Python sqlalchemy Session, Python sqlalchemy ORM, Python sqlalchemy Table, Python sqlalchemy Column, Python sqlalchemy create_engine, Python sqlalchemy select, Python sqlalchemy insert, Python sqlalchemy update, Python sqlalchemy delete, Python sqlalchemy MetaData, Python sqlalchemy text, Python ORM Databases, Python celery Task, Python celery Broker, Python celery Worker, Python celery Beat, Python celery Flower, Python gunicorn wsgi, Python uvicorn ASGI, Python hypercorn ASGI, Python waitress WSGI, Python werkzeug WSGI, Python gevent Hub, Python greenlet, Python eventlet, Python paramiko SSH, Python scp Module, Python fabric task, Python invoke task, Python importlib.metadata, Python toml.load, Python yaml.safe_load, Python yaml.dump, Python pyenv install, Python pyenv global, Python pyenv local, Python pipenv install, Python pipenv run, Python poetry install, Python poetry run, Python poetry publish, Python hatch build, Python hatch run, Python conda install, Python conda create, Python conda activate, Python cffi.FFI, Python ctypes.Structure, Python ctypes.byref, Python ctypes.pointer, Python cProfile.Profile, Python pstats.sort_stats, Python timeit.default_timer, Python zoneinfo.ZoneInfo.from_file, Python xml.dom.minidom.parse, Python xml.dom.minidom.parseString, Python xml.sax.parse, Python xml.sax.ContentHandler, Python configobj.ConfigObj, Python tomli.load, Python yaml.Loader, Python pydoc -w, Python Sphinx autodoc, Python unittest.mock.patch.object, Python unittest.mock.call_args, Python unittest.mock.call_count, Python pytest --maxfail, Python pytest --disable-warnings, Python pytest --last-failed, Python pytest --exitfirst, Python pytest -v, Python pytest -q, Python pytest -s, Python pytest-cov Plugin, Python pytest-xdist Parallel, Python pytest-mock Plugin, Python docker run (Python-based Images), Python fabric.Connection, Python fabric.run, Python fabric.sudo, Python pipenv shell, Python pipenv graph, Python poetry lock, Python poetry update, Python black --check, Python black --diff, Python pylint --rcfile, Python flake8 --max-line-length, Python flake8 --statistics, Python isort --profile black, Python mypy.ini settings, Python bandit.yaml, Python coverage combine, Python coverage html, Python coverage json, Python coverage report

Python: Python Variables, Python Data Types, Python Control Structures, Python Loops, Python Functions, Python Modules, Python Packages, Python File Handling, Python Errors and Exceptions, Python Classes and Objects, Python Inheritance, Python Polymorphism, Python Encapsulation, Python Abstraction, Python Lists, Python Dictionaries, Python Tuples, Python Sets, Python String Manipulation, Python Regular Expressions, Python Comprehensions, Python Lambda Functions, Python Map, Filter, and Reduce, Python Decorators, Python Generators, Python Context Managers, Python Concurrency with Threads, Python Asynchronous Programming, Python Multiprocessing, Python Networking, Python Database Interaction, Python Debugging, Python Testing and Unit Testing, Python Virtual Environments, Python Package Management, Python Data Analysis, Python Data Visualization, Python Web Scraping, Python Web Development with Flask/Django, Python API Interaction, Python GUI Programming, Python Game Development, Python Security and Cryptography, Python Blockchain Programming, Python Machine Learning, Python Deep Learning, Python Natural Language Processing, Python Computer Vision, Python Robotics, Python Scientific Computing, Python Data Engineering, Python Cloud Computing, Python DevOps Tools, Python Performance Optimization, Python Design Patterns, Python Type Hints, Python Version Control with Git, Python Documentation, Python Internationalization and Localization, Python Accessibility, Python Configurations and Environments, Python Continuous Integration/Continuous Deployment, Python Algorithm Design, Python Problem Solving, Python Code Readability, Python Software Architecture, Python Refactoring, Python Integration with Other Languages, Python Microservices Architecture, Python Serverless Computing, Python Big Data Analysis, Python Internet of Things (IoT), Python Geospatial Analysis, Python Quantum Computing, Python Bioinformatics, Python Ethical Hacking, Python Artificial Intelligence, Python Augmented Reality and Virtual Reality, Python Blockchain Applications, Python Chatbots, Python Voice Assistants, Python Edge Computing, Python Graph Algorithms, Python Social Network Analysis, Python Time Series Analysis, Python Image Processing, Python Audio Processing, Python Video Processing, Python 3D Programming, Python Parallel Computing, Python Event-Driven Programming, Python Reactive Programming.

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.


Python Glossary, Python Fundamentals, Python Inventor: Python Language Designer: Guido van Rossum on 20 February 1991; PEPs, Python Scripting, Python Keywords, Python Built-In Data Types, Python Data Structures - Python Algorithms, Python Syntax, Python OOP - Python Design Patterns, Python Module Index, pymotw.com, Python Package Manager (pip-PyPI), Python Virtualization (Conda, Miniconda, Virtualenv, Pipenv, Poetry), Python Interpreter, CPython, Python REPL, Python IDEs (PyCharm, Jupyter Notebook), Python Development Tools, Python Linter, Pythonista-Python User, Python Uses, List of Python Software, Python Popularity, Python Compiler, Python Transpiler, Python DevOps - Python SRE, Python Data Science - Python DataOps, Python Machine Learning, Python Deep Learning, Functional Python, Python Concurrency - Python GIL - Python Async (Asyncio), Python Standard Library, Python Testing (Pytest), Python Libraries (Flask), Python Frameworks (Django), Python History, Python Bibliography, Manning Python Series, Python Official Glossary - Python Glossary - Glossaire de Python - French, Python Topics, Python Courses, Python Research, Python GitHub, Written in Python, Python Awesome List, Python Versions. (navbar_python - see also navbar_python_libaries, navbar_python_standard_library, navbar_python_virtual_environments, navbar_numpy, navbar_datascience)


Cloud Monk is Retired ( for now). Buddha with you. © 2025 and Beginningless Time - Present Moment - Three Times: The Buddhas or Fair Use. Disclaimers

SYI LU SENG E MU CHYWE YE. NAN. WEI LA YE. WEI LA YE. SA WA HE.


1)
) → “Hello”); completableFuture.thenAccept(System.out::println); ``` == C# - await Keyword == C# supports asynchronous programming with the `async` and `await` keywords, closely resembling Python's approach. The `await` keyword in C# is used to suspend the execution of an async method until a task completes, making the syntax and behavior very similar to Python's. C# documentation: s://docs.microsoft.com/en-us/dotnet/csharp/programming-guide/concepts/async/(https://docs.microsoft.com/en-us/dotnet/csharp/programming-guide/concepts/async/). ```csharp public async Task<string> GetHelloAsync() {
   await Task.Delay(1000); // Simulate a task taking some time
   return "Hello";
} ``` == Kotlin - suspend Functions == Kotlin uses `suspend` functions for asynchronous programming, which can be awaited with the `await()` function when used with `Deferred` values, part of the kotlinx.coroutines library. Kotlin's coroutines provide a more structured concurrency framework compared to Python's, emphasizing flexibility and control. Kotlin documentation: s://kotlinlang.org/docs/reference/coroutines-overview.html(https://kotlinlang.org/docs/reference/coroutines-overview.html). ```kotlin suspend fun getHello(): String {
   delay(1000) // Non-blocking delay for 1 second
   return "Hello"
} ``` == JavaScript - await Operator == JavaScript supports asynchronous programming with `async` functions and the `await` operator, very similar to Python. The `await` operator is used to wait for a `Promise` to resolve, pausing the function's execution in a non-blocking manner. JavaScript's approach is widely used in web development for handling asynchronous operations like network requests. JavaScript documentation: s://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/await(https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/await). ```javascript async function getHello() {
   await new Promise(resolve => setTimeout(resolve, 1000)); // Simulate a delay
   return "Hello";
} ``` == TypeScript - await Operator == TypeScript, being a superset of JavaScript, also utilizes `async` functions and the `await` operator to handle asynchronous operations. TypeScript adds type support to these constructs, allowing for more robust development practices while maintaining the same syntax and operational behavior as JavaScript. TypeScript documentation: s://www.typescriptlang.org/docs/handbook/async-await.html(https://www.typescriptlang.org/docs/handbook/async-await.html). ```typescript async function getHello(): Promise<string> {
   await new Promise(resolve => setTimeout(resolve, 1000)); // Simulate a delay
   return "Hello";
} ``` == PHP - await Equivalent == PHP traditionally uses a synchronous execution model, but libraries like ReactPHP and Amp offer asynchronous capabilities. Unlike Python's native `await`, these libraries use promises and event loops to achieve non-blocking behavior, requiring a different programming model than the native language constructs. Amp documentation: s://amphp.org/amp/(https://amphp.org/amp/). ```php Amp\Loop::run(function () {
   $promise = new Amp\Delayed(1000, "Hello"); // Delays the resolution
   $hello = yield $promise;
   echo $hello;
}); ``` == Go - Goroutines and Channels == Go does not have an `await` keyword; instead, it uses goroutines and channels for concurrency. Goroutines are functions that run concurrently with other functions, while channels are used for communication between goroutines. This model is distinct from Python's coroutine-based model, emphasizing simplicity and efficiency. Go documentation: s://golang.org/doc/effective_go#goroutines(https://golang.org/doc/effective_go#goroutines). ```go func getHello(ch chan string) {
   time.Sleep(1 * time.Second)
   ch <- "Hello"
} // Usage within a main function or another goroutine ch := make(chan string) go
getHello(ch)
hello := ←ch ``` == Rust - async/.await == Rust supports asynchronous programming with the `async` keyword to define asynchronous functions and `.await` for awaiting the completion of asynchronous tasks. This model is similar to Python's but is integrated into Rust's ownership and type system, offering both safety and concurrency. Rust documentation: s://rust-lang.org/learn/get-started(https://rust-lang.org/learn/get-started). ```rust async fn get_hello() → String {
   tokio::time::sleep(Duration::from_secs(1)).await;
   "Hello".to_string()
} ``` == Swift - async/await == Swift introduced `async`/`await` in version 5.5, bringing structured concurrency to the language. Similar to Python, Swift's `await` pauses the function's execution until the asynchronous operation completes, providing a clean syntax for asynchronous programming. Swift documentation: s://docs.swift.org/swift-book/LanguageGuide/Concurrency.html(https://docs.swift.org/swift-book/LanguageGuide/Concurrency.html). ```swift func getHello() async → String {
   try await Task.sleep(nanoseconds: 1_000_000_000)
   return "Hello"
} ``` == Scala - Future and Await == Scala uses `Future` and the `Await` object for handling asynchronous operations. A `Future` represents a value that may eventually become available, and the `Await` object is used to block until the future is completed. This model is more explicit about blocking compared to Python's implicit coroutine suspension. Scala documentation: s://docs.scala-lang.org/overviews/core/futures.html(https://docs.scala-lang.org/overviews/core/futures.html). ```scala val futureHello = Future {
   Thread.sleep(1000)
   "Hello"
} val hello = Await.result(futureHello, 1.second) ``` == Clojure - core.async == Clojure's approach to asynchronous programming is provided by the `core.async` library, which introduces channels for communication between concurrent processes. While it doesn't have an `await` equivalent, `core.async` offers a powerful model for non-blocking operations through the use of channel operations. Clojure documentation: s://clojure.github.io/core.async/(https://clojure.github.io/core.async/). ```clojure (go (let [hello (<! (timeout 1000
python_await_expression.txt · Last modified: 2025/02/01 06:34 by 127.0.0.1

Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki