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from scrapy.loader.processors import Compose, MapCompose
proc = Compose(lambda v: v[0], str.upper)
proc(['hello', 'world']) # HELLO
mproc = MapCompose(lambda v: v[0], str.upper)
mproc(['hello', 'world']) # ['H', 'W']

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#models.py
from django.db import models

class Reporter(models.Model):
    full_name = models.CharField(max_length=70)

    def __str__(self):
        return self.full_name

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In this session, we are going to mimic a posts api that we worked on in a previous class. Typecode provides the free sample api.

APIs are what enable the backend, frontend and your mobile application to work together. We have also seen how to build basic REST api using Django Rest Framework

To get the post API to work we will need to work on four modules:

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Python 3 resources, unless otherwise noted

Check out Basic concepts and features tutorial and Getting Started from Python official website

NOTE: Fork of https://github.com/learnbyexample/scripting_course/blob/master/Python_curated_resources.md

Courses - online text/pdf tutorials

• automatetheboringstuff
  • also visit inventwithpython for more stuff from this author
• diveintopython - pdf

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Cheatsheet for Django QuerySets

Current Django Version: 2.2

Methods that return new QuerySets

Can be chained:

Entry.objects.filter(**kwargs).exclude(**kwargs).order_by(**kwargs)

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Source: https://www.toptal.com/python/tips-and-practices

This resource contains a collection of Python best practices and Python tips provided by our Toptal network members. As such, this page will be updated on a regular basis to include additional information and cover emerging Python techniques. This is a community driven project, so you are encouraged to contribute as well, and we are counting on your feedback.

Python is a high level language used in many development areas, like web development (Django, Flask), data analysis (SciPy, scikit-learn), desktop UI (wxWidgets, PyQt) and system administration (Ansible, OpenStack). The main advantage of Python is development speed. Python comes with rich standard library, a lot of 3rd party libraries and clean syntax. All this allows a developer to focus on the problem they want to solve, and not on the language details or reinventing the wheel.

Check out the Toptal resource pages for additional information on Python. There is a Python hiring guide, Python job

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1. django (latest version)
	$ pip install django
2. celery (latest version)
	$ pip install celery
	first steps
	docs: http://docs.celeryproject.org/en/latest/django/first-steps-with-django.html

	install celery extension
		$ pip install django-celery-beat
			docs: http://docs.celeryproject.org/en/latest/django/first-steps-with-django.html#django-celery-beat

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Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

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https://realpython.com/blog/python/asynchronous-tasks-with-django-and-celery/

Install Celery

$ pip install celery

Install celery Broker

$ sudo apt-get install rabbitmq-server

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; ==================================
;  celery worker supervisor
; ==================================

[program:celery]
command=/path/to/home/.virtualenvs/celery_env/bin/celery worker -A app.celery --loglevel=INFO
directory=/path/to/home/celery-scheduler

user=root
numprocs=1