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

Published Fri, Mar 23, 2018, recorded Thu, 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

Want to go deeper? Check our projects

Course: Python for the Absolute Beginner course

Beginners

HTMX + Flask

FastAPI

pytest book

Full transcript