March 2019 Summaries

The article provides a comprehensive guide on building a simple API for a collection of Python tips using Django and Django REST Framework. It begins by setting up a virtual environment and installing necessary packages like Django, Django REST, BeautifulSoup, and psycopg2. The process includes creating a Django project, defining models for tips and authors, and implementing CRUD operations using Django REST Framework. The guide also covers testing the API with tools like curl, Postman, and Django REST’s browser front-end. Additionally, it explains how to deploy the API to Digital Ocean, detailing steps to configure SSH access, set up a Postgres database, and use Gunicorn and Nginx for production deployment. The article concludes with a teaser for a follow-up on integrating the API with Slack using Slash Commands.

The text comprises a collection of tweets and brief mentions about various topics related to Python programming and technology. It highlights Nina's work on programming hardware with LEDs using Python, Hayley Denb's blog post on simple security practices for Python, and the Lazynlp library for scraping and cleaning web pages. Other notable mentions include a tutorial on face detection with Python by Real Python, the development of a Gameboy emulator for Emacs, an introduction to Cython, and a Computer Science Humble Bundle featuring the Python Software Foundation. Adrian Rosebrock announces a free 17-day crash course on computer vision and deep learning, while Jake VanderPlas discusses the use of hash tables in pandas for parsing CSV files. Additionally, there are mentions of nested queries with SQLAlchemy ORM by Miguel Grinberg, mypy plugins, a video series on learning regex in Python, and mutation testing with the mutmut tool.