Saturday, May 7, 2022

Python : Use django-allauth on heruko - part 001.

Today I am going to show you how to implement a google authentication using Django on the Heroku server.
The tutorial is almost complete. This introductory part is not finalized on the display side of the style and some elements ...
This python module is needed to run the web service.
pip install gunicorn
Collecting gunicorn
  Downloading gunicorn-20.1.0-py3-none-any.whl (79 kB)
     ---------------------------------------- 79.5/79.5 KB 184.8 kB/s eta 0:00:00
Requirement already satisfied: setuptools>=3.0 in c:\python311alpha\lib\site-packages (from gunicorn) (58.1.0)
Installing collected packages: gunicorn
Successfully installed gunicorn-20.1.0
Create and activate a virtual environment:
python -m venv venv
The next commands will be on the (venv)
Let's install the Django
(venv) python -m pip install django
Installing collected packages: tzdata, sqlparse, asgiref, django
Successfully installed asgiref-3.5.1 django-4.0.4 sqlparse-0.4.2 tzdata-2022.1
One way is to use this command to start the project
(venv) django-admin startproject herokuweb
I used it in this way, see the dot symbol:
(venv) django-admin startproject herokuweb . 
The next command will start an application
(venv) python startapp catafest
This python module needs to use google authentification:
(venv) pip install django-allauth
Successfully built django-allauth cffi
Installing collected packages: certifi, urllib3, tzdata, sqlparse, pyjwt, pycpar
ser, oauthlib, idna, defusedxml, charset-normalizer, asgiref, requests, python3-
openid, Django, cffi, requests-oauthlib, cryptography, django-allauth
Successfully installed Django-4.0.4 asgiref-3.5.1 certifi-2021.10.8 cffi-1.15.0
charset-normalizer-2.0.12 cryptography-37.0.2 defusedxml-0.7.1 django-allauth-0.
50.0 idna-3.3 oauthlib-3.2.0 pycparser-2.21 pyjwt-2.3.0 python3-openid-3.2.0 req
uests-2.27.1 requests-oauthlib-1.3.1 sqlparse-0.4.2 tzdata-2022.1 urllib3-1.26.9
Let's make changes in the file
STATIC_URL = '/static/'
'google': {
    'SCOPE': [
    'access_type': 'online',
Use Django features ...
python makemigrations
No changes detected
python migrate
  Applying sites.0002_alter_domain_unique... OK
  Applying socialaccount.0001_initial... OK
  Applying socialaccount.0002_token_max_lengths... OK
  Applying socialaccount.0003_extra_data_default_dict... OK
Create one superuser:
python createsuperuser
Username (leave blank to use 'catafest'):
Email address:
Password (again):
This password is too short. It must contain at least 8 characters.
This password is too common.
Bypass password validation and create user anyway? [y/N]: y
Superuser created successfully.
Create templates, catafest folders
Add the index.html file on the catafest folder
Make changes in in the heroku web folder project:
from django.contrib import admin
    from django.urls import path, include
    from django.views.generic import TemplateView
    urlpatterns = [
        path('', TemplateView.as_view(template_name="catafest/index.html")),
        path('accounts/', include('allauth.urls')),
In the add templates feature make this change:
import os
'DIRS': [os.path.join(BASE_DIR, 'templates')],
Open a google console application and set Credentials to OAuth client ID for the web.
Follow the basic steps like for any basic project
I set for my project: Authorized JavaScript origins:
... and: Authorized redirect URIs:
Finally, you need to have these: The 'OAuth client created' with 'Your Client ID' and 'Your Client Secret' .
You can test your Django project with this command:
python runserver
Open the admin area and add a social application
These commands will log in to the Heroku browser webpage and will create the application:
heroku login
 »   Warning: heroku update available from 7.53.0 to 7.60.2.
heroku create catafest
 »   Warning: heroku update available from 7.53.0 to 7.60.2.
Creating ⬢ catafest... done |
Then create requirements.txt and fill it with this command:
pip freeze > requirements.txt
make this change in :

STATIC_ROOT = os.path.join(BASE_DIR,"staticfiles")
Upload changes with these commands:
git add .
git commit -am "add requirements.txt and changes STATIC_ROOT"
git push heroku master
Enumerating objects: 39, done.
Counting objects: 100% (39/39), done.
 * [new branch]      master -> master
Open the online Heroku application, and see all errors with the command: heroku logs --tail
This error is normal because is not set in one web service:
... at=error code=H14 desc="No web processes running" method=GET path="/" host
Create Procfile file in the web001 folder and fill it with:
Add this to the file:
web: gunicorn catafest.wsgi
Add changes and make changes all with these commands:
git add .
git commit -am "add Procfile"
Push to the Django application on the Heroku server:
git push heroku master
Enumerating objects: 6, done.
Counting objects: 100% (6/6), done.
Delta compression using up to 2 threads
You can test the result on my heroku application , see also this google gign in link.

Wednesday, May 4, 2022

Python 3.11.0a7 : Django-hypergen on Fedora 36 distro.

You can write server-rendered reactive HTML live views for Django in pure python, see the GitHub webpage.
I tested with python version 3.11.0a7 and Django version 4.0.4 on Fedora 36 Linux distro.
I started with the cloning process of the GitHub project and I set a virtual environment:
[mythcat@fedora ~]$ git clone
Cloning into 'django-hypergen'
[mythcat@fedora ~]$ cd django-hypergen/
[mythcat@fedora django-hypergen]$ virtualenv -p python3.11 venv
created virtual environment
[mythcat@fedora django-hypergen]$ source venv/bin/activate
I install the requirements from the project:
(venv) [mythcat@fedora django-hypergen]$
(venv) [mythcat@fedora django-hypergen]$ pip install -r requirements.txt
...Successfully installed Django-4.0.4 asgiref-3.5.1 attrs-21.4.0 beautifulsoup4-4.9.3 
iniconfig-1.1.1 packaging-21.3 pluggy-1.0.0 py-1.11.0 pyparsing-3.0.8 pyperclip-1.8.1 
pyrsistent-0.16.1 pytest-7.1.2 pyyaml-6.0 six-1.16.0 soupsieve-2.3.2.post1 sqlparse-0.4.2 
tomli-2.0.1 yapf-0.32.0WARNING: You are using pip version 21.3.1; 
however, version 22.0.4 is available.
You should consider upgrading via the '/home/mythcat/django-hypergen/venv/bin/python -m pip install --upgrade pip' command.
This gives some errors ...
(venv) [mythcat@fedora django-hypergen]$ pip install -r examples/requirements.txt
...Successfully built pyprof2calltreeFailed to build cymem numpy
ERROR: Could not build wheels for cymem, numpy, which is required to install pyproject.toml-based projects 
The last step is the migrate project and test the example
(venv) [mythcat@fedora django-hypergen]$ 
(venv) [mythcat@fedora django-hypergen]$ cd examples/
(venv) [mythcat@fedora examples]$ python migrate
(venv) [mythcat@fedora examples]$ python runserver
Watching for file changes with ...
Starting development server at
... and the result can be seen in this screenshot:

Wednesday, April 27, 2022

News : Python 3.11 alpha.

This is an old news because on the date Wednesday, April 6, 2022 the alpha version of the well-known python programming language was released.
The last Python 3.11 alpha (3.11.0a7) is available on this webpage.
I install and works good.
Python 3.11.0a7 (main, Apr  5 2022, 21:27:39) [MSC v.1929 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
Here are the new features and changes so far:
PEP 657 -- Include Fine-Grained Error Locations in Tracebacks
PEP 654 -- Exception Groups and except*
PEP 673 -- Self Type
PEP 646-- Variadic Generics
PEP 680-- tomllib: Support for Parsing TOML in the Standard Library
PEP 675-- Arbitrary Literal String Type
PEP 655-- Marking individual TypedDict items as required or potentially-missing
bpo-46752-- Introduce task groups to asyncio
The Faster Cpython Project is already yielding some exciting results: 
this version of CPython 3.11 is ~ 19% faster on the geometric mean of the PyPerformance benchmarks, compared to 3.10.0.
It seems that the new changes are very different from the old versions and some are even effective.

Monday, April 11, 2022

Python 3.7.8 : Gym toolkit - part 001.

Today I tested the gym python package and both version of python: 3.7.8 and 3.10.4.
Gym is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball.
pip install gym
Successfully installed cloudpickle-2.0.0 gym-0.23.1 gym-notices-0.0.6 importlib-
metadata-4.11.3 numpy-1.21.5 typing-extensions-4.1.1 zipp-3.8.0
C:\Python378>pip install Pygame
Successfully installed Pygame-2.1.2
Python 3.7.8 (tags/v3.7.8:4b47a5b6ba, Jun 28 2020, 08:53:46) [MSC v.1916 64 bit
(AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import gym
You can see the gym python package is loaded.
Let's test the default python source code from the official webpage:
import gym
env = gym.make("CartPole-v1")
observation = env.reset()
for _ in range(1000):
  action = env.action_space.sample() # your agent here (this takes random actions)
  observation, reward, done, info = env.step(action)

  if done:
    observation = env.reset()
I created a file name and I run it with python.exe.
The result is a window like on the official webpage.
I tested with python version 3.10.4 with same example and works well:
C:\Python310>python.exe -m pip install gym
Installing collected packages: gym-notices, numpy, cloudpickle, gym
Successfully installed cloudpickle-2.0.0 gym-0.23.1 gym-notices-0.0.6 numpy-1.22.3
C:\Python310>python.exe -m pip install pygame
Successfully installed pygame-2.1.2

Sunday, April 10, 2022

Python : PyFlow is visual scripting framework for python.

PyFlow is a general purpose visual scripting framework for python.
I install python version 3.7.8 and these python modules: PyQt5 and PySide.
pip install git+
Requirement already satisfied: in c:\python378\lib\site-packages (from PyF
low==2.0.1) (1.3.6)
Requirement already satisfied: blinker in c:\python378\lib\site-packages (from P
yFlow==2.0.1) (1.4)
Requirement already satisfied: nine in c:\python378\lib\site-packages (from PyFl
ow==2.0.1) (1.1.0)
Requirement already satisfied: docutils in c:\python378\lib\site-packages (from
PyFlow==2.0.1) (0.18.1)

This is the default window for the PyFlow, see the next screenshot image:
One good feature of the PyFlow is the integration, you can see one example with DeepAi from Brandon Gilles, see this video example:

Saturday, April 9, 2022

Python : Starting learn with futurecoder online tool.

This website with online tool can be a good start for test and learn python language programming.
They come with this intro:
This is a 100% free and interactive course for people to teach themselves programming in Python, especially complete beginners at programming. It is carefully designed to reduce frustration and guide the user while still ensuring that they learn how to solve problems. The goal is for as many people as possible to learn programming.
You can try it out here: .
Please consider contributing or donating!
You can see in the next video tutorial how this works: