Python Bytes: #266 Python has a glossary?

<p><strong>Watch the live stream:</strong></p> <a href='https://www.youtube.com/watch?v=tS8ZsH2WOnk' style='font-weight: bold;'>Watch on YouTube</a><br> <br> <p><strong>About the show</strong></p> <p>Sponsored by Datadog: <a href="http://pythonbytes.fm/datadog"><strong>pythonbytes.fm/datadog</strong></a></p> <p><strong>Brian #1:</strong> <strong>Python</strong> <a href="https://docs.python.org/3/glossary.html"><strong>glossary</strong></a> <strong>and</strong> <a href="https://docs.python.org/3/faq/"><strong>FAQ</strong></a></p> <ul> <li>Inspired by a tweet by Trey Hunner that referenced the glossary</li> <li><a href="https://docs.python.org/3/glossary.html">glossary</a> <ul> <li>All the Python and programming terms in one place</li> <li>Often refers to other parts of the documentation.</li> <li>Forget what an “abstract base class” is? <a href="https://docs.python.org/3/glossary.html#term-abstract-base-class">Just look it up</a> </li> </ul></li> <li><a href="https://docs.python.org/3/faq/">FAQ</a> <ul> <li>Has sections on <ul> <li><a href="https://docs.python.org/3/faq/general.html">General Python</a></li> <li><a href="https://docs.python.org/3/faq/programming.html">Programming</a></li> <li><a href="https://docs.python.org/3/faq/design.html">Design and History</a></li> <li><a href="https://docs.python.org/3/faq/library.html">Library and Extension</a></li> <li><a href="https://docs.python.org/3/faq/extending.html">Extending/Embedding</a></li> <li><a href="https://docs.python.org/3/faq/windows.html">Python on Windows</a></li> <li><a href="https://docs.python.org/3/faq/gui.html">Graphic User Interface</a></li> <li><a href="https://docs.python.org/3/faq/installed.html">“Why is Python Installed on my Computer?”</a></li> </ul></li> <li>Some decent reading here, actually.</li> <li>Example <ul> <li><a href="https://docs.python.org/3/faq/programming.html#id15">What is the difference between arguments and parameters?</a> - that’s under Programming</li> </ul></li> </ul></li> </ul> <p><strong>Michael #2:</strong> <a href="https://anyio.readthedocs.io/en/stable/basics.html"><strong>Any.io</strong></a></p> <ul> <li>Learned about it via <a href="https://github.com/tiangolo/asyncer">asyncer</a></li> <li>AnyIO is an asynchronous networking and concurrency library that works on top of either <a href="https://docs.python.org/3/library/asyncio.html">asyncio</a> or <a href="https://github.com/python-trio/trio">trio</a>. </li> <li>It implements trio-like <a href="https://en.wikipedia.org/wiki/Structured_concurrency">structured concurrency</a> (SC) on top of asyncio</li> <li>Works in harmony with the native SC of trio itself</li> <li>Check out <a href="https://anyio.readthedocs.io/en/stable/index.html#features">the features</a></li> <li>AnyIO also comes with its own <a href="https://docs.pytest.org/en/latest/">pytest</a> plugin which also supports asynchronous fixtures.</li> </ul> <p><strong>Brian #3:</strong> <a href="https://github.com/vaexio/vaex"><strong>Vaex</strong></a> <a href="https://github.com/vaexio/vaex"><strong>:</strong></a> <a href="https://github.com/vaexio/vaex"><strong>a high performance Python library for lazy Out-of-Core DataFrames</strong></a></p> <ul> <li>suggested by Glen Ferguson</li> <li>“Vaex is a python library for lazy <strong>Out-of-Core DataFrames</strong> (similar to Pandas), to visualize and explore big tabular datasets.”</li> <li>out-of-core: “The term <em>out-of-core</em> typically refers to processing data that is too large to fit into a computer’s main memory.” - from <a href="https://machinelearning.wtf/terms/out-of-core/">machinelearning.wtf</a>, a Machine Learning Glossary site. <ul> <li>nice tie in, right?</li> </ul></li> <li>Vaex uses memory mapping, a zero memory copy policy, and lazy computations.</li> <li>There’s a great intro in the form of a presentation from <a href="https://www.youtube.com/watch?v=ELtjRdPT8is">SciPy 2019</a></li> </ul> <p><strong>Michael #4:</strong> <a href="https://lp.jetbrains.com/django-developer-survey-2021-486/"><strong>Django Community Survey Results</strong></a></p> <ul> <li>Only 15% of Django developers use it ONLY for work, while two thirds use it both for work and for personal, educational, or side projects.</li> <li>Majority use latest Django</li> <li>Most devs upgrade every stable release</li> <li>Postgres is the primary DB (MongoDB is nowhere in sight)</li> <li>Most sites have Redis caching tiers</li> </ul> <p><strong>Michael #5: Extra, Extra, Extra, Extra:</strong></p> <ul> <li><a href="https://www.djangoproject.com/weblog/2022/jan/04/security-releases/">Django security releases issued: 4.0.1, 3.2.11, and 2.2.26</a></li> <li><a href="https://talkpython.fm/sphinx">Static Sites with Sphinx and Markdown</a> course by Paul Everitt is now out</li> <li><a href="https://www.caldigit.com/thunderbolt-4-element-hub/">CalDigit Thunderbolt 4 Element Hub</a> review (more info <a href="https://www.youtube.com/watch?v=OEhnTed0MSk">Video by Doc Rock</a>, get it on <a href="https://amzn.to/34wpvUx">Amazon here</a>)</li> <li><a href="https://twitter.com/mkennedy/status/1479523408064909312">StreamDeck setup</a> for our live streams</li> <li><a href="http://">Michael’s PyBay HTMX talk</a> is up</li> <li><a href="https://2022.pythonwebconf.com/">Python Web Conf 2022</a> - I’ll be speaking there and we’re media sponsors of the conference so use code <strong>PythonBytes@PWC2022</strong> for 15% off, March 21-25.</li> <li><a href="https://2022.pycascades.com/">PyCascades 2022</a> is also happening soon, February 5th-6th, 2022</li> </ul> <p><strong>Joke:</strong> </p> <p><img src="https://ift.tt/3zWSpZG" alt="" /></p>

from Planet Python
via read more