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Episode #70: Have you seen my log? It's cute!

Published Fri, Mar 23, 2018, recorded Thurs, Mar 15, 2018.

Sponsored by DigitalOcean: do.co/python

Brian #1: Online CookieCutter Generator

  • “Get a ZIP-archive with project by filling out the form.”
  • By @kpavlovsky_pro Konstantin Pavlovsky

Michael #2: cutelog – GUI for Python's logging module

  • This is a graphical log viewer for Python's standard logging module.
  • Features
    • Allows any number of simultaneous connections
    • Fully customizable look of log levels and columns
    • Filtering based on level and name of the logger, as well as filtering by searching
    • Search through all records or only through filtered ones
    • View exception tracebacks or messages in a separate window
    • Dark theme (with its own set of colors for levels)
    • Pop tabs out of the window, merge records of multiple tabs into one
  • Based on PyQt5 speaking of GUIs

Brian #3: wagtail 2.0

  • “Wagtail is a content management system built on Django. It’s focused on user experience, and offers precise control for designers and developers.”
  • The Zen of Wagtail - nice philosophy of the project page to let you know if this kind of thing is right for you and your project.
  • In 2.0
    • a new text editor
    • Django 2 support
    • better scheduled publishing
  • wagtail docs
  • gallery of sites made with wagtail

Michael #4: peewee 3.0 is out

  • Peewee is a simple and small ORM. It has few (but expressive) concepts, making it easy to learn and intuitive to use.
    • A small, expressive ORM
    • Written in python with support for versions 2.7+ and 3.4+ (developed with 3.6)
    • Built-in support for SQLite, MySQL and Postgresql.
    • Numerous extensions available (postgres hstore/json/arrays, sqlite full-text-search, schema migrations, and much more).
  • Although this was pretty much a complete rewrite of the 2.x codebase, I have tried to maintain backwards-compatibility for the public APIs.
  • Exciting because of its async support via peewee-async
    • peewee-async is a library providing asynchronous interface powered by asyncio for peewee ORM.
    database.set_allow_sync(False)

    async def handler():
        await objects.create(TestModel, text="Not bad. Watch this, I'm async!")
        all_objects = await objects.execute(TestModel.select())
        for obj in all_objects:
            print(obj.text)

Brian #5: Machine Learning Basics

  • “Plain python implementations of basic machine learning algorithms”
  • From the repo:
    • A repository of implementations of basic machine learning algorithms in plain Python (Python Version 3.6+). All algorithms are implemented from scratch without using additional machine learning libraries. The intention of these notebooks is to provide a basic understanding of the algorithms and their underlying structure, not to provide the most efficient implementations.
      • Linear Regression
      • Logistic Regression
      • Perceptron
      • k-nearest-neighbor
      • k-Means clustering
      • Simple neural network with one hidden layer
      • Multinomial Logistic Regression

Michael #6: Cerberus

  • Cerberus provides powerful yet simple and lightweight data validation functionality out of the box
  • designed to be easily extensible, allowing for custom validation
  • Origin of the name: CERBERUS, n. The watch-dog of Hades, whose duty it was to guard the entrance;
    schema = {'name': {'type': 'string'}, 'age': {'type': 'integer', 'min': 10}}
    v = Validator(schema)

    document = {'name': 'Little Joe', 'age': 5}
    v.validate(document)  # False
    v.errors  # {'age': ['min value is 10']}

Follow up and other news

Michael:

#100DaysOfCode in Python course: talkpython.fm/100days


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