Learnings

<p>Awesome blog post talking about how Netflix uses Python </p>

<p>A next generation HTTP client for Python. </p>

<p>Nice talk for those who use docker and python in production: </p>

<p>What's coming in Python 3.8: </p>

<p>Did you know that not using defaultdict() to initialize dicts is a anti-pattern? Found out this here: </p>

<p>asyncio-based GraphQL Server implementation: </p>

<p>json2html easily converts Python dicts from JSON to HTML tables: </p>

<p>Dlint is a tool for encouraging best coding practices and helping ensure we're writing secure Python code: </p>

<p>Python lib for plotting charts in the terminal: </p>

<p>Python help() function: </p>

<p>Fastest Way to Load Data Into PostgreSQL Using Python </p>

<p>Is it a good practice to use try-except-else in Python? </p>

<p>Create Django Index without downtime </p>

<p>Nice pomodoro tool in the terminal writen in Python </p>

<p>Python Serialization Benchmark </p>

<p>Broken by default: why you should avoid most Dockerfile examples </p>

<p>Tools for easily profile memory and performance on Python Jupyter notebooks: </p>

<p>Python tricky behaviors: </p>

<p>Has the Python GIL been slain? Sub-interpreters: a middle ground solution - </p>

<p>Python Sets Quiz: </p>

<p>Things you should be using in python 3 </p>

<p>Debugging-friendly tracebacks for Python: </p>

<p>Smaller Python Docker Containers with Multi-Stage Builds and Python Wheels </p>

<p>Never use print for debugging again: </p>