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

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)

<span class="n">document</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;Little Joe&#39;</span><span class="p">,</span> <span class="s1">&#39;age&#39;</span><span class="p">:</span> <span class="mi">5</span><span class="p">}</span>
<span class="n">v</span><span class="o">.</span><span class="n">validate</span><span class="p">(</span><span class="n">document</span><span class="p">)</span>  <span class="c1"># False</span>


    v.errors  # {'age': ['min value is 10']}

Follow up and other news

Michael:

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