What's new in Python 3.8?

Transcript

1. What's new in Python 3.8?
   October 2019
   Stéphane Wirtel
   Python: 3.8
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2. I am Stéphane
   I am Stéphane
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3. Hi, I am Stéphane
   Python lover since 2001
   Freelancer
   CPython Core Dev
   PSF Fellow {Fellowship WG, Marketing WG}
   Board Member of EuroPython Society (EuroPython 2020 - 20th/26th July 2020)
   Former co-organiser of PythonFOSDEM (1st Feb 2020)
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4. Schedule
   Schedule
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5. Schedule
   in this talk
   PEP 570: Python Positional-Only Parameters
   PEP 572: Assignment Expressions
   PEP 578: Python Runtime Audit Hooks
   Others points
   f-string{=}, ...
   PEP 574: Pickle protocol 5 with out-of-band data
   PEP 587: Python Initialization Configuration
   PEP 590: Vectorcall: a fast calling protocol for CPython
   https://python.org/dev/peps/pep-0569
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6. Release 3.8
   Release 3.8
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7. Schedule of 3.8.0
   3.8 development begins: 2018-01-29
   Alpha
   3.8.0 alpha 1: 2019-02-03
   3.8.0 alpha 2: 2019-02-25
   3.8.0 alpha 3: 2019-03-25
   3.8.0 alpha 4: 2019-05-06
   Beta
   3.8.0 beta 1: 2019-06-04
   3.8.0 beta 2: 2019-07-04
   3.8.0 beta 3: 2019-07-29
   3.8.0 beta 4: 2019-08-30
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8. Schedule of 3.8.0
   Candidate
   3.8.0 candidate 1: 2019-10-01
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9. Schedule of 3.8.0
   Candidate
   3.8.0 candidate 1: 2019-10-01
   Release
   3.8.0 final: 2019-10-14 (maybe next Monday) ;-)
   Thank you to Łukasz Langa, our Release Manager for Python 3.8 and his first #Python Baby ;-)
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10. PEPs {570, 572, 578}
    PEPs {570, 572, 578}
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11. PEP 570: Python Positional-Only parameters
    Currently, we can pass the arguments by position or by name.
    BUT sometimes, we would like to restrict the call to a function by passing the parameters by position and not
    by name
    For that, we have introduced a new syntax for the definition of the functions/methods with the '/'.
    API Designer Point of View: We can rename the name of a parameter and keep the backward compatibility.
    def name(pos1, pos2, /, pos_or_kwd, *, kwd1, kwd2):
    pass
    pos1 and pos2 are positional-only arguments
    pos_or_kwd is a positional or keyword argument
    kwd1, kwd2 are only keyword arguments
    https://www.python.org/dev/peps/pep-0570/
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12. PEP 570: Python Positional-Only parameters
    Example
    def pow(x, y, /, mod=None):
    r = x ** y
    if mod is not None:
    r %= mod
    return r
    >>> pow(2, 10)
    1024
    >>> pow(2, 10, 17)
    4
    >>> pow(2, 10, mod=17)
    4
    >>> pow(x=2, y=10, mod=17)
    Traceback (most recent call last):
    File "", line 1, in
    TypeError: pow() got some positional-only arguments passed as keyword arguments: 'x, y'
    >>>
    https://www.python.org/dev/peps/pep-0570/
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13. PEP 572: Assignment Expressions (aka Walrus Operator)
    Before
    >>> params = {'foo': 'bar'}
    >>> x = params.get('foo')
    >>> if x is not None:
    ... print(x)
    'foo'
    https://www.python.org/dev/peps/pep-0572/
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14. PEP 572: Assignment Expressions (aka Walrus Operator)
    Before
    >>> params = {'foo': 'bar'}
    >>> x = params.get('foo')
    >>> if x is not None:
    ... print(x)
    'foo'
    After
    Say Hello to := The Walrus Operator
    >>> params = {'foo': 'bar'}
    >>> if x := params.get('foo'):
    ... print(x)
    https://www.python.org/dev/peps/pep-0572/
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15. PEP 572: Assignment Expressions (aka Walrus Operator)
    Before
    match = pattern.search(data)
    if match is not None:
    do_something(match)
    https://www.python.org/dev/peps/pep-0572/
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16. PEP 572: Assignment Expressions (aka Walrus Operator)
    Before
    match = pattern.search(data)
    if match is not None:
    do_something(match)
    After
    if (match := pattern.search(data)):
    do_something(match)
    https://www.python.org/dev/peps/pep-0572/
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17. PEP 572: Assignment Expressions (aka Walrus Operator)
    Before
    n = len(a)
    if n > 10:
    print(f"List is too long ({n} elements, expected <= 10)")
    https://www.python.org/dev/peps/pep-0572/
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18. PEP 572: Assignment Expressions (aka Walrus Operator)
    Before
    n = len(a)
    if n > 10:
    print(f"List is too long ({n} elements, expected <= 10)")
    After
    if (n := len(a)) > 10:
    print(f"List is too long ({n} elements, expected <= 10)")
    https://www.python.org/dev/peps/pep-0572/
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19. PEP 572: Assignment Expressions (aka Walrus Operator)
    Example 1:
    commit e1d455f3a3b82c2e08d5e133bcbab5a181b66cfb
    Author: Julien Palard
    Date: Wed Sep 11 15:01:18 2019 +0200
    Doc: Use walrus operator in example. (GH-15934)
    diff --git a/Doc/library/http.client.rst b/Doc/library/http.client.rst
    index 48bc35ca76..db26d56af3 100644
    --- a/Doc/library/http.client.rst
    +++ b/Doc/library/http.client.rst
    @@ -516,10 +516,7 @@ Here is an example session that uses the ``GET`` method::
    >>> # The following example demonstrates reading data in chunks.
    >>> conn.request("GET", "/")
    >>> r1 = conn.getresponse()
    - >>> while True:
    - ... chunk = r1.read(200) # 200 bytes
    - ... if not chunk:
    - ... break
    + >>> while chunk := r1.read(200):
    ... print(repr(chunk))
    b'\n

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20. PEP 572: Assignment Expressions (aka Walrus Operator)
    Examples 2 & 3:
    >>> for angle in range(360):
    ... print(f'{angle=}\N{degree sign} {(theta:=radians(angle))=:.3f} {sin(theta)=:.3f}')
    >>> filtered_data = [y for x in data if (y := f(x)) is not None]
    Credit: Raymond Hettinger
    https://www.python.org/dev/peps/pep-0572/
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21. PEP 572: Assignment Expressions (aka Walrus Operator)
    Example 4
    https://www.python.org/dev/peps/pep-0572/
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22. PEP 572: Assignment Expressions (aka Walrus Operator)
    Example 4
    >>> [(t:=(t[1], sum(t)) if i else (0,1))[0] for i in range(20)]
    [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, 4181]
    — Raymond Hettinger (@raymondh) October 13, 2019
    https://www.python.org/dev/peps/pep-0572/
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23. PEP 578: Python Runtime Audit Hooks
    What's that?
    Allow to generete event for some (C-API and Python) functions
    Allow the monitoring of low-level access
    The events can be watched with hooks
    A Hook can't be removed or replaced
    https://www.python.org/dev/peps/pep-0578/
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24. PEP 578: Python Runtime Audit Hooks
    Declare a audit hook
    sys.addaudithook(hook: Callable(Undefined, Undefined))
    import sys
    from functools import reduce
    from contextlib import supress
    def audit_hook(event, args):
    if event in ['urllib.Request']:
    print(f'Network {event=} {args=}')
    sys.addaudithook(audit_hook)
    def product(series):
    with supress(Exception):
    urllib.request.urlopen('http://example.com')
    return reduce(lambda acc, num: acc * num, series)
    result = product(range(10))
    print(f'{result=}')
    Network event='urllib.Request' args=('http://example.com', None, {}, 'GET')
    result=0
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25. PEP 578: Python Runtime Audit Hooks
    Emit an event
    sys.audit(str, *args)
    import sys
    from functools import reduce
    def make_request(url):
    sys.audit('make_request', url)
    def product(series):
    make_request('http://www.example.com')
    return reduce(lambda acc, num: acc * num, series)
    def audit_hook(event, args):
    if event in ('make_request',):
    print(f'Network {event=} {args=}')
    sys.addaudithook(audit_hook)
    result = product(range(1, 10))
    print(f'{result=}')
    Network event='make_request' args=('http://www.example.com',)
    result=362880
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26. PEP 578: Python Runtime Audit Hooks
    List of Events
    Hook Description
    sys.addaudithook Detect when new audit hooks are being added
    compile Detect dynamic code compilation
    exec Detect dynamic execution of code objects
    import Detect when modules are imported
    io.open Detect when a file is about to be opened
    object.setattr Detect monkey patching
    object.delattr Detect deletion of object attributes
    object.getattr Detect access to restricted attributes
    urllib.Request Detect URLS request
    etc...
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27. PEP 578: Python Runtime Audit Hooks
    Basic Example
    import sys
    def audit_hook(event, args):
    printf(f'{event=} {args=}')
    sys.addaudithook(audit_hook)
    from collections import defaultdict
    event='import' args=('functools', None, ['/home/stephane/src/github.com/python/cpython', '/home/stephane/src/github.
    event='os.listdir' args=('/home/stephane/src/github.com/python/cpython',)
    event='open' args=('/home/stephane/src/github.com/python/cpython/Lib/__pycache__/functools.cpython-39.pyc', 'r', 524
    event='exec' args=( at 0x7fad7c5801e0, file "/home/stephane/src/github.com/python/cpython/Lib/f
    event='import' args=('collections', None, ['/home/stephane/src/github.com/python/cpython', '/home/stephane/src/githu
    event='open' args=('/home/stephane/src/github.com/python/cpython/Lib/collections/__pycache__/__init__.cpython-39.pyc
    event='exec' args=( at 0x7fad7c5276c0, file "/home/stephane/src/github.com/python/cpython/Lib/c
    event='import' args=('operator', None, ['/home/stephane/src/github.com/python/cpython', '/home/stephane/src/github.c
    event='open' args=('/home/stephane/src/github.com/python/cpython/Lib/__pycache__/operator.cpython-39.pyc', 'r', 5242
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28. PEP 578: Python Runtime Audit Hooks
    About Performance?
    Depends of the cases but the Python Performance Benchmark Suite shows no significant impact. Between
    1.05% faster and 1.05% slower.
    https://github.com/python/pyperformance
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29. Not in the PEPs
    Not in the PEPs
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30. Feature: Asyncio REPL
    Python 3.4
    import asyncio
    @asyncio.coroutine
    def say(what, when):
    await asyncio.sleep(when)
    print(what)
    loop = asyncio.get_event_loop()
    loop.run_until_complete(say('hello world', 1))
    loop.close()
    At the beginning of Asyncio (Python 3.4 in 2014)
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31. Feature: Asyncio REPL
    Python 3.5
    import asyncio
    async def say(what, when):
    await asyncio.sleep(when)
    print(what)
    loop = asyncio.get_event_loop()
    loop.run_until_complete(say('hello world', 1))
    loop.close()
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32. Feature: Asyncio REPL
    with Python 3.7
    >>> import asyncio
    >>> async def say(what, when):
    ... await asyncio.sleep(when)
    ... print(what)
    ...
    >>> asyncio.run(say('hello world', 1))
    >>>
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33. Feature: Asyncio REPL
    with Python 3.7
    >>> import asyncio
    >>> async def say(what, when):
    ... await asyncio.sleep(when)
    ... print(what)
    ...
    >>> asyncio.run(say('hello world', 1))
    >>>
    3.8+, Welcome to the AsyncIO REPL
    python -m asyncio
    >>> async def say(what, when):
    ... await asyncio.sleep(when)
    ... print(what)
    ...
    >>> await say('hello world', 1))
    >>>
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34. Feature: Do you remember the f-strings in 3.6?
    They are really useful, example:
    Before f-strings
    first_name = 'Stephane'
    print("Hello %s" % (first_name,))
    print("Hello {}".format(first_name))
    print("Hello {name}".format(name=first_name))
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35. Feature: Do you remember the f-strings in 3.6?
    They are really useful, example:
    Before f-strings
    first_name = 'Stephane'
    print("Hello %s" % (first_name,))
    print("Hello {}".format(first_name))
    print("Hello {name}".format(name=first_name))
    with f-strings
    first_name = 'Stephane'
    print(f"Hello {first_name}")
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36. Feature: f-strings debug
    Before
    >>> x = 10
    >>> f'x: {x}'
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37. Feature: f-strings debug
    Before
    >>> x = 10
    >>> f'x: {x}'
    Now
    >>> x = 10
    >>> f'{x=}'
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38. Feature: f-string debug
    Of course, you can use the string formatting.
    >>> user='stephane'
    >>> member_since = date(1980, 9, 15)
    >>> delta = date.today() - member_since
    >>> f'{user=!s} {delta.days=:,d}'
    'user=stephane delta.days=14,269'
    >>>
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39. Feature: json.tools --json-lines
    json.tool
    Add the option --json-lines to the module json.tool
    Allow to format the content of a multi-line json.
    echo -e '{"ingredients":["frog", "water", "chocolate", "glucose"]}\n{"ingredients":["chocolate","steel bolts"]}' \
    | ./python -m json.tool --json-lines
    {
    "ingredients": [
    "frog",
    "water",
    "chocolate",
    "glucose"
    ]
    }
    {
    "ingredients": [
    "chocolate",
    "steel bolts"
    ]
    }
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40. Feature: Support of pax
    pax (POSIX.1-2001) is the default format:
    shutil.make_archive
    tarfile
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41. Feature: unittest adds AsyncMock
    Add AsyncMock for the support of asynchronous code
    >>> import asyncio
    >>> from unittest.mock import AsyncMock
    >>> mock_instance = AsyncMock()
    >>> mock_instance.__aiter__.return_value = [1, 2, 3]
    >>> async def amain():
    ... return [i async for i in mock_instance]
    ...
    >>> asyncio.run(amain())
    [1, 2, 3]
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42. Feature: unittest adds AsyncMock
    >>> import asyncio
    >>> from unittest.mock import MagicMock
    >>> class AsyncContextManager:
    ... async def __aenter__(self):
    ... return self
    ... async def __aexit__(self, exc_type, exc, tb):
    ... pass
    ...
    >>> mock_instance = MagicMock(AsyncContextManager())
    >>> async def amain():
    ... async with mock_instance as result:
    ... pass
    ...
    >>> asyncio.run(amain())
    >>> mock_instance.__aenter__.assert_awaited_once()
    >>> mock_instance.__aexit__.assert_awaited_once()
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43. Feature: unittest adds AsyncMock
    import unittest
    class TestRequest(unittest.IsolatedAsyncioTestCase):
    async def asyncSetUp(self):
    self.connection = await AsyncConnection()
    async def test_get(self):
    response = await self.connection.get('https://example.com')
    self.assertEqual(response.status_code, 200)
    async def asyncTearDown(self):
    await self.connection.close()
    if __name__ == '__main__':
    unittest.main()
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44. Feature: Exception Hook for threading
    import sys
    import threading
    def log_exception(*args):
    print(f'got exception {args}')
    sys.excepthook = log_exception
    def foo():
    a = 1 / 0
    threading.Thread(target=foo).start()
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45. Feature: Exception Hook for threading
    import sys
    import threading
    def log_exception(*args):
    print(f'got exception {args}')
    sys.excepthook = log_exception
    def foo():
    a = 1 / 0
    threading.Thread(target=foo).start()
    Exception in thread Thread-1:
    Traceback (most recent call last):
    File "cpython/Lib/threading.py", line 944, in _bootstrap_inner
    self.run()
    File "cpython/Lib/threading.py", line 882, in run
    self._target(*self._args, **self._kwargs)
    File "demo-fail-excepthook.py", line 10, in foo
    a = 1 / 0
    ZeroDivisionError: division by zero
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46. Feature: Exception Hook for threading
    Add function threading.excepthook
    import sys
    import threading
    def log_exception(*args):
    print(f'got exception {args}')
    threading.excepthook = log_exception
    def foo():
    a = 1 / 0
    threading.Thread(target=foo).start()
    got exception args=(_thread.ExceptHookArgs(
    exc_type=,
    exc_value=ZeroDivisionError('division by zero'),
    exc_traceback=,
    thread=),)
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47. Feature: sys.unraisablehook
    Handle an unraisable exception.
    Called when an exception has occurred but there is no way for Python to handle it.
    Example: a destructor raises an exception or during garbage collection (gc.collect()).
    import sys
    def unraisablehook(args):
    sys.stderr.write(f'{args=}')
    sys.unraisablehook = unraisablehook
    class Demo:
    def __del__(self):
    raise Exception(':/')
    demo = Demo()
    del demo
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48. Feature: Add \N{EM DASH} in re module
    Now, it's possible to parse a string with a unicode.
    >>> import re
    >>> notice = 'I love 3.8'
    >>> PATTERN = re.compile(r'I love \N{SNAKE} ([0-9\.]*)')
    >>> if (match := PATTERN.search(notice)):
    ... print(match.group(1))
    ...
    3.8
    SNAKE is a name of the Unicode Character 'SNAKE' (U+1F40D):
    Updated to Unicode 12.1.0
    https://www.fileformat.info/info/unicode/char/1f40d/index.htm
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49. Feature: Generalized iterable unpacking in yield and return
    Before
    >>> def parse(family):
    ... lastname, *members = family.split()
    ... return lastname.upper(), *members
    File "", line 3
    return lastname.upper(), *members
    ^
    SyntaxError: invalid syntax
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50. Feature: Generalized iterable unpacking in yield and return
    Before
    >>> def parse(family):
    ... lastname, *members = family.split()
    ... return lastname.upper(), *members
    File "", line 3
    return lastname.upper(), *members
    ^
    SyntaxError: invalid syntax
    Now
    >>> def parse(family):
    ... lastname, *members = family.split()
    ... return lastname.upper(), *members
    ...
    >>> parse('simpsons homer marge bart lisa sally')
    ('SIMPSONS', 'homer', 'marge', 'bart', 'lisa', 'sally')
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51. Feature: SyntaxWarning when missing comma
    Python < 3.8
    >>> [(1, 2, 3)(4, 5)]
    Traceback (most recent call last):
    File "", line 1, in
    TypeError: 'tuple' object is not callable
    Python >= 3.8
    >>> [(1, 2, 3)(4, 5)]
    :1: SyntaxWarning: 'tuple' object is not callable; perhaps you missed a comma?
    Traceback (most recent call last):
    File "", line 1, in
    TypeError: 'tuple' object is not callable
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52. Feature: New Module
    Add importlib.metadata
    >>> from importlib.metdata import version, requires, files
    >>> version('requests')
    '2.22.0'
    >>> list(requires('requests'))
    ['chardet (<3.1.0,>=3.0.2)']
    >>> list(files('requests'))[:2]
    [PackagePath('requests-2.22.0.dist-info/INSTALLER'),
    PackagePath('requests-2.22.0.dist-info/LICENSE')]
    You can also play with importlib.resources
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53. Feature: Hi multiprocessing.shared_memory
    Processes are conventionally limited to only have access to their own process memory space
    shared memory permits the sharing of data between processes
    avoiding the need to instead send messages between processes.
    Sharing data directly via memory can provide significant performance benefits compared to sharing data
    via disk or socket or other communications requiring the serialization/deserialization and copying of
    data.
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54. Feature: Hi multiprocessing.shared_memory
    >>> # process 1
    >>> from multiprocessing import shared_memory
    >>> a = shared_memory.ShareableList(range(5))
    >>> print(a.shm.name)
    psm_8c3af53a
    >>> print(a)
    ShareableList([0, 1, 2, 3, 4], name='psm_8c3af53a')
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55. Feature: Hi multiprocessing.shared_memory
    >>> # process 1
    >>> from multiprocessing import shared_memory
    >>> a = shared_memory.ShareableList(range(5))
    >>> print(a.shm.name)
    psm_8c3af53a
    >>> print(a)
    ShareableList([0, 1, 2, 3, 4], name='psm_8c3af53a')
    >>> # process 2
    >>> from multiprocessing import shared_memory
    >>> b = shared_memory.ShareableList(name='psm_8c3af53a')
    >>> print(b)
    ShareableList([0, 1, 2, 3, 4], name='psm_8c3af53a')
    >>> b[-1] = 10
    >>> print(b)
    ShareableList([0, 1, 2, 3, 10], name='psm_8c3af53a')
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56. Feature: Hi multiprocessing.shared_memory
    >>> # process 1
    >>> from multiprocessing import shared_memory
    >>> a = shared_memory.ShareableList(range(5))
    >>> print(a.shm.name)
    psm_8c3af53a
    >>> print(a)
    ShareableList([0, 1, 2, 3, 4], name='psm_8c3af53a')
    >>> # process 2
    >>> from multiprocessing import shared_memory
    >>> b = shared_memory.ShareableList(name='psm_8c3af53a')
    >>> print(b)
    ShareableList([0, 1, 2, 3, 4], name='psm_8c3af53a')
    >>> b[-1] = 10
    >>> print(b)
    ShareableList([0, 1, 2, 3, 10], name='psm_8c3af53a')
    >>> # process 1
    >>> print(a)
    ShareableList([0, 1, 2, 3, 10], name='psm_8c3af53a')
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57. Feature: Math
    Add
    math.dist for the Euclidean distance between two points.
    math.prod for the product of an iterable of numbers
    >>> math.prod([1, 2, 3, 4])
    24
    math.isqrt for integer square roots
    >>> math.isqrt(4)
    2
    Changes
    math.hypot supports multiple dimensions
    math.factorial only for int.
    >>> math.factorial(4)
    24
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58. Feature: socket: Create a server
    Before
    import socket
    sock = socket.socket(socket.AF_INET6, socket.SOCK_STREAM)
    sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
    sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEPORT, 1)
    sock.setsockopt(socket.IPPROTO_IPV6, socket.IPV6_V6ONLY, 0)
    sock.bind(("", 8080))
    sock.listen()
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59. Feature: socket: Create a server
    Before
    import socket
    sock = socket.socket(socket.AF_INET6, socket.SOCK_STREAM)
    sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
    sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEPORT, 1)
    sock.setsockopt(socket.IPPROTO_IPV6, socket.IPV6_V6ONLY, 0)
    sock.bind(("", 8080))
    sock.listen()
    New function: socket.create_server
    Now
    import socket
    addr = ("", 8080)
    if socket.has_dualstack_ipv6():
    s = socket.create_server(addr, family=socket.AF_INET6, dualstack_ipv6=True)
    else:
    s = socket.create_server(addr)
    59 / 68
    

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60. Feature: functools.cached_property
    Before
    class DataSet:
    def __init__(self, sequence_of_numbers):
    self.numbers = sequence_of_numbers
    self._variance = None
    @property
    def variance(self):
    if self._variance is None:
    self._variance = statistics.variance(self.numbers)
    return self._variance
    60 / 68
    

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61. Feature: functools.cached_property
    Before
    class DataSet:
    def __init__(self, sequence_of_numbers):
    self.numbers = sequence_of_numbers
    self._variance = None
    @property
    def variance(self):
    if self._variance is None:
    self._variance = statistics.variance(self.numbers)
    return self._variance
    Now
    import functools
    class DataSet:
    def __init__(self, sequence_of_numbers):
    self.numbers = sequence_of_numbers
    @functools.cached_property
    def variance(self):
    return statistics.variance(self.numbers)
    61 / 68
    

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62. Deprecations & Removals
    Deprecations & Removals
    62 / 68
    62 / 68
    

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63. Deprecations
    bdist_wininst -> bdist_wheel
    threading.Thread.isAlive()
    ...
    Removals
    Module macpath
    platform.popen() -> os.popen()
    time.clock() -> time.process_time()
    pyvenv script -> python -m venv
    ...
    63 / 68
    

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64. Performance
    Performance
    64 / 68
    64 / 68
    

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65. Optimizations
    subprocess will call os.posix_spawn on Linux and macOS if conditions are met:
    close_fds is False
    preexec_fn, pass_fds, cwd and start_new_sessions parameters are not set.
    the executable path contains a directory
    shutil.copyfile, shutil.copy, shutil.copy2, shutil.copytree and shutil.move use the "fast-copy" syscalls on
    Linux and macOS (implemented by the Kernel)
    outfd.write(infd.read())
    By default, the pickle module uses Protocol 4, better performance and smaller size compared to Protocol
    3
    uuid.UUID uses __slots__ -> reduce memory footprint
    operator.itemgetter by 33%.
    etc...
    65 / 68
    

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66. Optimizations
    66 / 68
    

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67. Questions?
    Questions?
    67 / 68
    67 / 68
    

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68. What's new in Python 3.8?
    Stéphane Wirtel
    stephane.wirtel@mgx.io
    https://twitter.com/matrixise
    68 / 68
    

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