Learnings

<p>Ultimate Python study guide for newcomers and professionals alike </p>

<p>Fixit, a Python Lint Framework from Instagram: </p>

<p>An opinionated guide on how to write views in Django! </p>

<p>What to Expect in Python 3.9: </p>

<p>In Django ORM you can add <code>order_by('?')</code> to a queryset to randomize results - but be careful because it can slow them significantly #order-by</p>

<p>Great article that covers all the basics you need to understand how logging works in Python: </p>

<p>Celery supports exponential backoff options since 4.2 #Task.retry_backoff</p>

<p>Fully automated decryption tool using natural language processing &amp; artificial intelligence </p>

<p>10 Awesome Pythonic One-Liners Explained </p>

<p>Python malware on the rise </p>

<p>Too many objects: Reducing memory overhead from Python instances </p>

<p>Create UIs for prototyping your machine learning model, compatible with Jupyter Notebooks: </p>

<p>There's no one right way to test your code: comparing the multiple testing styles </p>

<p>Pickle’s nine flaws: </p>

<p>filprofiler, a memory profiler for data batch processing applications: </p>

<p>Visualizing Class-Based Views: </p>

<p>Joblib: running Python functions as pipeline jobs: </p>

<p>Discussion on the various ways to wait for results in asyncio: </p>

<p>Latency in Asynchronous Python: </p>

<p>Bento: Free program analysis focused on bugs that matter to you. </p>

<p>Good introduction to Python concurrency with concurrent.futures module: #generic-workflows-for-running-tasks-concurrently</p>

<p>Python warnings.warn() vs. logging.warning() </p>

<p>Dramatiq: background tasks </p>

<p>New Features in Python 3.9 You Should Know About </p>