Monika  Joshi

Monika Joshi

1656590493

How to Add Money to Venmo

You may be wondering how to add money to Venmo? Whether you have a bank account or not, there are some steps you can take to add money to your Venmo balance. Keep reading to find out how. Regardless of the situation, Venmo can be a great way to pay for everything from gas to rent. To learn more, read our article, How to Add Money to Venmo.

If you've used your bank account to make payments before, you might be wondering, "How do I add money to Venmo from my bank?" 

Here are some ways to add money to Venmo:

Add money to Venmo from a bank account-

First, you'll need to have a minimum amount of $2 in your bank account before adding money to Venmo. You'll also need to verify your bank account to avoid overdraft fees. To verify your account, you must first input your bank routing number and username, and do not include your check number. This verification process may take up to three business days. If the verification process does fail, you'll receive a notification from Venmo.

  • Once you've verified your bank account, you can add money to your Venmo account. 
  • To do this, go to your Venmo account and select the bank account you want to use. 
  • Once you've verified your bank account, confirm your transfer details and tap "Add Money" to complete the transaction. 
  • The money will appear in your Venmo balance within three to five business days.
  • Then, you can use your Venmo balance for purchases. 
  • If you don't want to wait, you can also use the Cash App, which will allow you to load your account instantly.

How to add money to Venmo without a bank account?

If you're not a bank account holder, you may be wondering how to add money to Venmo without a bank account. While bank transfers can take up to five business days to appear in your Venmo balance, linked payment methods do not have this delay. This makes it much easier for you to send money to other Venmo users. However, remember that you cannot cancel a transfer once you've made it.
 

  • To do this, log into the Venmo app and tap on the menu icon. 
  • Next, tap "Manage Balance" to add your debit or credit card. 
  • When you've completed this step, Venmo will send a verification code to your mobile number, which you need to input when sending money. 
  • The funds will appear in your Venmo balance after three to five business days

Adding money to your Venmo balance

Adding money to your Venmo account is easy. To add money to your Venmo balance, follow the same steps described above.

  • To do this, log into the Venmo website or app and tap on the menu icon. 
  • You can add your credit or debit card by taking a picture. 
  • Note that this process takes about three to five business days. 
  • After completing the steps above, you'll be redirected to the Venmo homepage. 

Once your bank account is linked to Venmo, you can use it to pay your friends. You can also add your bank account as a backup payment source. This way, you'll never have to worry about missing a payment again. Another advantage of this system is that you can use it to make purchases with your credit or debit card. After adding a card, tap on the payment option and follow the on-screen instructions.


 

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How to Add Money to Venmo
Thierry  Perret

Thierry Perret

1641616950

Ajouter En Python - Comment Ajouter à Une Liste Ou à Un Tableau

Dans cet article, vous découvrirez la .append()méthode en Python. Vous verrez également en quoi .append()diffère des autres méthodes utilisées pour ajouter des éléments aux listes.

Commençons!

Que sont les listes en Python ? Une définition pour les débutants

Un tableau en programmation est une collection ordonnée d'éléments, et tous les éléments doivent être du même type de données.

Cependant, contrairement à d'autres langages de programmation, les tableaux ne sont pas une structure de données intégrée à Python. Au lieu des tableaux traditionnels, Python utilise des listes.

Les listes sont essentiellement des tableaux dynamiques et sont l'une des structures de données les plus courantes et les plus puissantes de Python.

Vous pouvez les considérer comme des conteneurs commandés. Ils stockent et organisent ensemble des données similaires.

Les éléments stockés dans une liste peuvent être de n'importe quel type de données.

Il peut y avoir des listes d'entiers (nombres entiers), des listes de flottants (nombres à virgule flottante), des listes de chaînes (texte) et des listes de tout autre type de données Python intégré.

Bien qu'il soit possible pour les listes de ne contenir que des éléments du même type de données, elles sont plus flexibles que les tableaux traditionnels. Cela signifie qu'il peut y avoir une variété de types de données différents dans la même liste.

Les listes ont 0 ou plusieurs éléments, ce qui signifie qu'il peut également y avoir des listes vides. À l'intérieur d'une liste, il peut également y avoir des valeurs en double.

Les valeurs sont séparées par une virgule et placées entre crochets, [].

Comment créer des listes en Python

Pour créer une nouvelle liste, donnez d'abord un nom à la liste. Ajoutez ensuite l'opérateur d'affectation ( =) et une paire de crochets ouvrants et fermants. A l'intérieur des parenthèses, ajoutez les valeurs que la liste doit contenir.

#create a new list of names
names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

#print the list to the console
print(names)

#output
#['Jimmy', 'Timmy', 'Kenny', 'Lenny']

Comment les listes sont indexées en Python

Les listes maintiennent un ordre pour chaque article.

Chaque élément de la collection a son propre numéro d'index, que vous pouvez utiliser pour accéder à l'élément lui-même.

Les index en Python (et tout autre langage de programmation moderne) commencent à 0 et augmentent pour chaque élément de la liste.

Par exemple, la liste créée précédemment avait 4 valeurs :

names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

La première valeur de la liste, "Jimmy", a un indice de 0.

La deuxième valeur de la liste, "Timmy", a un indice de 1.

La troisième valeur de la liste, "Kenny", a un indice de 2.

La quatrième valeur de la liste, "Lenny", a un indice de 3.

Pour accéder à un élément de la liste par son numéro d'index, écrivez d'abord le nom de la liste, puis entre crochets écrivez l'entier de l'index de l'élément.

Par exemple, si vous vouliez accéder à l'élément qui a un index de 2, vous feriez :

names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

print(names[2])

#output
#Kenny

Les listes en Python sont modifiables

En Python, lorsque les objets sont mutables , cela signifie que leurs valeurs peuvent être modifiées une fois qu'ils ont été créés.

Les listes sont des objets modifiables, vous pouvez donc les mettre à jour et les modifier après leur création.

Les listes sont également dynamiques, ce qui signifie qu'elles peuvent augmenter et diminuer tout au long de la vie d'un programme.

Des éléments peuvent être supprimés d'une liste existante et de nouveaux éléments peuvent être ajoutés à une liste existante.

Il existe des méthodes intégrées pour ajouter et supprimer des éléments des listes.

Par exemple, pour add articles, il y a les .append(), .insert()et les .extend()méthodes.

Pour supprimer des éléments, il existe les méthodes .remove(), .pop()et .pop(index).

A quoi sert la .append()méthode ?

La .append()méthode ajoute un élément supplémentaire à la fin d'une liste déjà existante.

La syntaxe générale ressemble à ceci :

list_name.append(item)

Décomposons-le :

  • list_name est le nom que vous avez donné à la liste.
  • .append()est la méthode de liste pour ajouter un élément à la fin de list_name.
  • item est l'élément individuel spécifié que vous souhaitez ajouter.

Lors de l'utilisation de .append(), la liste d'origine est modifiée. Aucune nouvelle liste n'est créée.

Si vous souhaitez ajouter un nom supplémentaire à la liste créée précédemment, procédez comme suit :

names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

#add the name Dylan to the end of the list
names.append("Dylan")

print(names)

#output
#['Jimmy', 'Timmy', 'Kenny', 'Lenny', 'Dylan']

Quelle est la différence entre les méthodes .append()et .insert()?

La différence entre les deux méthodes est qu'elle .append()ajoute un élément à la fin d'une liste, alors qu'elle .insert()insère et élément à une position spécifiée dans la liste.

Comme vous l'avez vu dans la section précédente, .append()ajoutera l'élément que vous passez comme argument à la fonction toujours à la fin de la liste.

Si vous ne souhaitez pas simplement ajouter des éléments à la fin d'une liste, vous pouvez spécifier la position à laquelle vous souhaitez les ajouter avec .insert().

La syntaxe générale ressemble à ceci :

list_name.insert(position,item)

Décomposons-le :

  • list_name est le nom de la liste.
  • .insert() est la méthode de liste pour insérer un élément dans une liste.
  • positionest le premier argument de la méthode. C'est toujours un entier - en particulier c'est le numéro d'index de la position où vous voulez que le nouvel élément soit placé.
  • itemest le deuxième argument de la méthode. Ici, vous spécifiez le nouvel élément que vous souhaitez ajouter à la liste.

Par exemple, supposons que vous disposiez de la liste suivante de langages de programmation :

programming_languages = ["JavaScript", "Java", "C++"]

print(programming_languages)

#output
#['JavaScript', 'Java', 'C++']

Si vous vouliez insérer "Python" au début de la liste, en tant que nouvel élément de la liste, vous utiliseriez la .insert()méthode et spécifieriez la position comme 0. (Rappelez-vous que la première valeur d'une liste a toujours un indice de 0.)

programming_languages = ["JavaScript", "Java", "C++"]

programming_languages.insert(0, "Python")

print(programming_languages)

#output
#['Python', 'JavaScript', 'Java', 'C++']

Si vous aviez plutôt voulu que "JavaScript" soit le premier élément de la liste, puis ajoutez "Python" comme nouvel élément, vous spécifieriez la position comme suit1 :

programming_languages = ["JavaScript", "Java", "C++"]

programming_languages.insert(1,"Python")

print(programming_languages)

#output
#['JavaScript', 'Python', 'Java', 'C++']

La .insert()méthode vous donne un peu plus de flexibilité par rapport à la .append()méthode qui ajoute uniquement un nouvel élément à la fin de la liste.

Quelle est la différence entre les méthodes .append()et .extend()?

Que faire si vous souhaitez ajouter plusieurs éléments à une liste à la fois, au lieu de les ajouter un à la fois ?

Vous pouvez utiliser la .append()méthode pour ajouter plusieurs éléments à la fin d'une liste.

Supposons que vous ayez une liste qui ne contient que deux langages de programmation :

programming_languages = ["JavaScript", "Java"]

print(programming_languages)

#output
#['JavaScript', 'Java']

Vous souhaitez ensuite ajouter deux autres langues, à la fin.

Dans ce cas, vous passez une liste contenant les deux nouvelles valeurs que vous souhaitez ajouter, en argument à .append():

programming_languages = ["JavaScript", "Java"]

#add two new items to the end of the list
programming_languages.append(["Python","C++"])

print(programming_languages)

#output
#['JavaScript', 'Java', ['Python', 'C++']]

Si vous regardez de plus près la sortie ci-dessus, ['JavaScript', 'Java', ['Python', 'C++']]vous verrez qu'une nouvelle liste a été ajoutée à la fin de la liste déjà existante.

Donc, .append() ajoute une liste à l'intérieur d'une liste .

Les listes sont des objets, et lorsque vous utilisez .append()pour ajouter une autre liste dans une liste, les nouveaux éléments seront ajoutés en tant qu'objet unique (élément).

Supposons que vous ayez déjà deux listes, comme ceci :

names = ["Jimmy", "Timmy"]
more_names = ["Kenny", "Lenny"]

Et si vous vouliez combiner le contenu des deux listes en une seule, en ajoutant le contenu de more_namesto names?

Lorsque la .append()méthode est utilisée à cette fin, une autre liste est créée à l'intérieur de names:

names = ["Jimmy", "Timmy"]
more_names = ["Kenny", "Lenny"]

#add contents of more_names to names
names.append(more_names)

print(names)

#output
#['Jimmy', 'Timmy', ['Kenny', 'Lenny']]

Donc, .append()ajoute les nouveaux éléments comme une autre liste, en ajoutant l'objet à la fin.

Pour réellement concaténer (ajouter) des listes et combiner tous les éléments d'une liste à une autre , vous devez utiliser la .extend()méthode.

La syntaxe générale ressemble à ceci :

list_name.extend(iterable/other_list_name)

Décomposons-le :

  • list_name est le nom de l'une des listes.
  • .extend() est la méthode pour ajouter tout le contenu d'une liste à une autre.
  • iterablepeut être n'importe quel itérable tel qu'une autre liste, par exemple, another_list_name. Dans ce cas, another_list_nameest une liste qui sera concaténée avec list_name, et son contenu sera ajouté un par un à la fin de list_name, en tant qu'éléments séparés.

Ainsi, en reprenant l'exemple précédent, lorsque .append()est remplacé par .extend(), la sortie ressemblera à ceci :

names = ["Jimmy", "Timmy"]
more_names = ["Kenny", "Lenny"]

names.extend(more_names)

print(names)

#output
#['Jimmy', 'Timmy', 'Kenny', 'Lenny']

Lorsque nous avons utilisé .extend(), la namesliste s'est allongée et sa longueur a été augmentée de 2.

La façon dont cela .extend()fonctionne est qu'il prend une liste (ou un autre itérable) comme argument, itère sur chaque élément, puis chaque élément de l'itérable est ajouté à la liste.

Il existe une autre différence entre .append()et .extend().

Lorsque vous souhaitez ajouter une chaîne, comme vu précédemment, .append()ajoutez l'élément entier et unique à la fin de la liste :

names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

#add the name Dylan to the end of the list
names.append("Dylan")

print(names)

#output
#['Jimmy', 'Timmy', 'Kenny', 'Lenny', 'Dylan']

Si vous aviez .extend()plutôt l' habitude d'ajouter une chaîne à la fin d'une liste, chaque caractère de la chaîne serait ajouté en tant qu'élément individuel à la liste.

C'est parce que les chaînes sont un itérable et .extend()qu'elles itèrent sur l'argument itérable qui lui est transmis.

Ainsi, l'exemple ci-dessus ressemblerait à ceci :

names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

#pass a string(iterable) to .extend()
names.extend("Dylan")

print(names)

#output
#['Jimmy', 'Timmy', 'Kenny', 'Lenny', 'D', 'y', 'l', 'a', 'n']

Conclusion

En résumé, la .append()méthode est utilisée pour ajouter un élément à la fin d'une liste existante, sans créer de nouvelle liste.

Lorsqu'il est utilisé pour ajouter une liste à une autre liste, il crée une liste dans une liste.

Si vous souhaitez en savoir plus sur Python, consultez la certification Python de freeCodeCamp . Vous commencerez à apprendre de manière interactive et conviviale pour les débutants. Vous construirez également cinq projets à la fin pour mettre en pratique ce que vous avez appris.

Merci d'avoir lu et bon codage!

Link: https://www.freecodecamp.org/news/append-in-python-how-to-append-to-a-list-or-an-array/

#python 

matrix multiplication in python user input

Given two user input matrix. Our task is to display the addition of two matrix. In these problem we use nested List comprehensive.

matrix multiplication in python user input

Algorithm

Step1: input two matrix.

Step 2: nested for loops to iterate through each row and each column.

Step 3: take one resultant matrix which is initially contains all 0. Then we multiply each row elements of first matrix with each elements of second matrix, then add all multiplied value. That is the value of resultant matrix.

Example Code

# Program to multiply two matrices
A=[]
n=int(input("Enter N for N x N matrix: "))         
print("Enter the element ::>")
for i in range(n): 
   row=[]                                      #temporary list to store the row
   for j in range(n): 
      row.append(int(input()))           #add the input to row list
      A.append(row)                      #add the row to the list
print(A)
# [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
#Display the 2D array
print("Display Array In Matrix Form")
for i in range(n):
   for j in range(n):
      print(A[i][j], end=" ")
   print()                                        #new line
B=[]
n=int(input("Enter N for N x N matrix : "))           #3 here
#use list for storing 2D array
#get the user input and store it in list (here IN : 1 to 9)
print("Enter the element ::>")
for i in range (n): 
   row=[]                                      #temporary list to store the row
   for j in range(n): 
      row.append(int(input()))           #add the input to row list
      B.append(row)                       #add the row to the list
print(B)
# [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
#Display the 2D array
print("Display Array In Matrix Form")
for i in range(n):
   for j in range(n):
      print(B[i][j], end=" ")
   print()                                           
result = [[0,0,0], [0,0,0], [0,0,0]] 
for i in range(len(A)): 
   for j in range(len(B[0])): 
      for k in range(len(B)): 
         result[i][j] += A[i][k] * B[k][j] 
print("The Resultant Matrix Is ::>")
for r in result: 
   print(r) 

Output

Enter N for N x N matrix: 3
Enter the element ::>
2
1
4
2
1
2
3
4
3
[[2, 1, 4], [2, 1, 2], [3, 4, 3]]
Display Array In Matrix Form
2 1 4 
2 1 2 
3 4 3 
Enter N for N x N matrix : 3
Enter the element ::>
1
2
3
4
5
6
7
8
9
[[1, 2, 3], [4, 5, 6], [7, 8, 9]]
Display Array In Matrix Form
1 2 3 
4 5 6 
7 8 9 
The Resultant Matrix Is ::>
[34, 41, 48]
[20, 25, 30]
[40, 50, 60]

https://www.pakainfo.com/python-program-multiplication-of-two-matrix-from-user-input/

Ricky Martin

Ricky Martin

1593056092

Top 6 Python Packages You Should be Using in Every Django Web App

There are countless Python packages easily added to any project. But there are some packages you can't help but use in every Django web app because they've proven to be extremely beneficial and time-saving.

We decided to focus on those packages, the ones you'll end up installing regularly, and explain the installation and configurations needed to get them up and running. 

While some Python packages offer cool functionality needed for one specific project, the packages discussed below are the bread-and-butter of the Django packages.

Django Web Framework

But we can't jump into Django packages by talking about the Django web framework.

A web framework is comprised of modules or packages that allow developers to quickly write web applications without having to handle the precise details of the protocol and other web app management.

Django is considered a full-stack web framework in which a database, application server, template engine, authentication module, and dispatcher are all neatly combined to create a high-level framework. These individual components are included upon package installation and often just need some minor configurations for them to function correctly. 

macOS Terminal

(env)User-Macbook:env user$ pip install django

Windows Command Prompt

(env)C:\Users\Owner\desktop\env> pip install django

At the time of this article, the latest version of Django is 3.0.8. To install the latest version, all you need is the command pip install django.

If you wish to install a different version, then specify the version number as demonstrated in the command pip install django==2.1.15. Please note that there are two equal signs after the package name, not one. 

Once the installation is complete, you will need to start configuring your Django web app with a project and an application. If you want to jump right into building your Django web app, check out the quick start guides to Django Installation and Django Configuration. Or if you are just getting started and need a step-by-step tutorial, see the Beginner's Guide to Django Web Apps

But we are here to talk about Python Packages meant for Django web apps, not basic Django configurations so we'll keep moving.

We have a lot to cover.

  1. Django TinyMCE4 Lite
  2. Pillow
  3. Django Crispy Forms
  4. Django Tables
  5. Django Filter
  6. Python Decouple

 


 

(1) Django TinyMCE4 Lite

macOS Terminal

(env)User-Macbook:mysite user$ pip install django-tinymce4-lite

Windows Command Prompt

(env) C:\Users\Owner\Desktop\Code\env\mysite>pip install django-tinymce4-lite

Once you have finished the basic configurations of your web app, you can install a cool Python package named django-tinymce4-lite. This package is actually a smaller version of the Django application django-tinymce4 that contains a widget to render Django form fields as TinyMCE editors.

TinyMCE is a WYSIWYG ("what you see is what you get") text editor that converts HTML elements into editor instances or "plain text".  This python package is highly recommended if you are looking to create a blog as you can easily edit text that is then formatted to HTML within the actual template.

 

env > mysite > mysite > settings.py

INSTALLED_APPS = [
    ...
    ...
    'tinymce',
]


TINYMCE_DEFAULT_CONFIG = {
    'height': 400,
    'width': 1000,
    'cleanup_on_startup': True,
    'custom_undo_redo_levels': 20,
    'selector': 'textarea',
    'browser_spellcheck': 'True',
    'theme': 'modern',
    'plugins': '''
            textcolor save link image media preview codesample contextmenu
            table code lists fullscreen  insertdatetime  nonbreaking
            contextmenu directionality searchreplace wordcount visualblocks
            visualchars code fullscreen autolink lists  charmap print  hr
            anchor pagebreak
            ''',
    'toolbar1': '''
            fullscreen preview bold italic underline | fontselect,
            fontsizeselect  | forecolor backcolor | alignleft alignright |
            aligncenter alignjustify | indent outdent | bullist numlist table |
            | link image media | codesample
            ''',
    'toolbar2': '''
            visualblocks visualchars |
            charmap hr pagebreak nonbreaking anchor |  code |
            ''',
    'contextmenu': 'formats | link image',
    'menubar': True,
    'statusbar': True,
    }

After installation, you will need to add tinymce to the list of installed apps in the settings file then add the default configurations below.  The default configurations define the height, weight, spellcheck, and toolbars. 

 

env > mysite > mysite > urls.py

"""mysite URL Configuration

The `urlpatterns` list routes URLs to views. For more information please see:
    https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
    1. Add an import:  from my_app import views
    2. Add a URL to urlpatterns:  path('', views.home, name='home')
Class-based views
    1. Add an import:  from other_app.views import Home
    2. Add a URL to urlpatterns:  path('', Home.as_view(), name='home')
Including another URLconf
    1. Import the include() function: from django.urls import include, path
    2. Add a URL to urlpatterns:  path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path, include


urlpatterns = [
    path('admin/', admin.site.urls),
    path('', include ('main.urls')),
    path('tinymce/', include('tinymce.urls')), #add this

]

Then add the TinyMCE path to the project URLs.

 

env > mysite > main > models.py

from django.db import models
from tinymce import HTMLField

class MyModel(models.Model):
    ...
    content = HTMLField()

Finally, you can quickly add TinyMCE to the Django model by importing HTMLField at the top of the page then calling it in the model field. If you are unsure of how to use Django models, check out the article, How to use Django Models for more information. 

 


 

(2) Pillow

macOS Terminal

(env)User-Macbook:mysite user$ pip install Pillow

Windows Command Prompt

(env) C:\Users\Owner\Desktop\Code\env\mysite>pip install Pillow

So, this package is not specific to Django but is needed for image and file uploads to work correctly in a Django project.  If you are looking to have a media upload field in your Django model for let's say an article cover image, you need to install Pillow. It's a Python Imaging Library fork for uploading files correctly. 

 

env > mysite > mysite > settings.py

MEDIA_URL = '/media/'

MEDIA_ROOT = os.path.join(BASE_DIR, 'media')

Once installed, you need to add a media folder URL and ROOT directory to your settings file. 

 

env > mysite > mysite > urls.py

from django.contrib import admin
from django.urls import path, include
from django.conf import settings #add this
from django.conf.urls.static import static #add this

urlpatterns = [
    path('admin/', admin.site.urls),
    path('', include ('main.urls')),
]

if settings.DEBUG: #add this
    urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)

Then you need to add the necessary imports at the top of your project's URL file and specify the URL pattern to the media folder. Keep in mind that the media upload will not work in production given the if condition. You will need to reconfigure your media upload location when you are ready to deploy.

 

env > mysite > main > models.py

from django.db import models

class MyModel(models.Model):
    ...
    image = models.ImageField(upload_to='images/')

Now to upload an image, go to your models file and add an ImageField with the upload location as 'images/'. The uploaded images will then be added to a media  > images folder that will automatically be created upon the upload. 

For more information about correctly creating a model, accessing the upload location in the Django admin, and rendering the model in a template, refer to How to use Django Models.

 


 

(3) Django Crispy Forms

macOS Terminal

(env)User-Macbook:mysite user$ pip install django-crispy-forms

Windows Command Prompt

(env) C:\Users\Owner\desktop\code\env\mysite>pip install django-crispy-forms

Let's talk about Django forms. Their functionality is great but their appearance isn't the best. You can choose to install django-crispy-forms in your project to quickly solve this issue.

 

env > mysite > mysite > settings.py

INSTALLED_APPS = [
    ...
    'crispy_forms',
]

CRISPY_TEMPLATE_PACK = 'uni_form'

For it to function correctly, you will need to go to the settings file and add crispy_forms to the installed apps list. Keep in mind that there is an underscore between crispy and forms.

Then you need to specify the crispy template pack. The one listed below is the default but if you are using the Bootstrap CSS framework, check out how to integrate Bootstrap with django-crispy-forms

 

env > mysite > main > templates > main > contact.html

{% load crispy_forms_tags %}

<form method="post">
    {% csrf_token %}
       {{form|crispy}}
       <button type="submit">Submit</button>
</form>

The package django-crispy-forms is added to the project in the form of a filter added within the Django template language {{form}}. This format will not only call all of the form fields but also format each field according to the crispy form template pack specified in the settings.

Refer to the article Render Forms with Django Crispy Forms for more information regarding the form rendering process using crispy forms and the article Build a Django Contact Form with Email Backend for more general information on how to build a Django form. 

 


 

(4) Django Tables

macOS Terminal

(env)User-Macbook:mysite user$ pip install django-tables2

Windows Command Prompt

(env) C:\Users\Owner\desktop\code\env\mysite>pip install django-tables2

Now let's say you want to create a dynamic table in your Django project that connects to a model. Install django-tables2, a Django-specific package for table rendering.

 

env > mysite > mysite > settings.py

INSTALLED_APPS = [
    ...
    'django_tables2',
]

Add Django tables to the installed apps.

 

env > mysite > main > models.py

from django.db import models


class MyModel(models.Model):
    name = models.CharField(max_length=100, verbose_name="full name")
    email = models.EmailField(max_length=200)

Then create the model you wish to use in the table.

After you have created the model, you will need to run the commands python manage.py makemigrations and python manage.py migrate to add the model to the database and add your model objects via the Django admin. For more instruction, see How to Use Django Models

 

env > mysite > main > (New File) tables.py

import django_tables2 as tables
from .models import MyModel

class MyTable(tables.Table):
    class Meta:
        model = MyModel
        fields = ("name", "email", )

 

Now, create a new file called tables.py in the application folder, main, and import tables from django_tables2 at the top of the file. Then create a class that specifies the model and field names. 

 

env > mysite > main > views.py (Class-based views)

...
from django_tables2 import SingleTableView

from .models import MyModel
from .tables import MyTable


class ListView(SingleTableView):
    model = MyModel
    table_class = MyTable
    template_name = 'main/table.html'

 

If you are looking to use class-based views, go to the views file and add the view class specifying the model, table, and template. Again, you will need to import the necessary variables from their appropriate files at the top of the file.

 

env > mysite > main > urls.py (Class-based views)

from django.urls import path
from . import views

app_name = "main"   


urlpatterns = [
     path("table", views.ListView.as_view()),
]

Then make sure there is a tables URL in the app urls.py file. If you are looking to learn more about class-based views, check out the article Django Class-based Views.

 

env > mysite > main > views.py (Function-based views)

...
from django_tables2 import SingleTableView

from .models import MyModel
from .tables import MyTable


def list(request):
	model = MyModel.objects.all()
	table = MyTable(model)
	return render(request=request, template_name="main/table.html", context={"model":model, "table":table})

 

Or you can choose to do function-based views in the views.py file. Either one will work, but the format is different. 

 

env > mysite > main > urls.py (Function-based views)

from django.urls import path
from . import views

app_name = "main"   


urlpatterns = [
    path("table", views.list, name="list"),
]

Then add the table URL in the app urls.py file. 

 

env > mysite > main > templates > main > (New File) table.html

{% load render_table from django_tables2 %}

<div>
    {% render_table table %}
</div>

With the views and URLs configured, you can render the table in the template by loading in render_table from django_tables2 at the top of the file then calling render_table and the context of the table passed in the view.

By default, the class-based view passes the table context as just table, and in the function-based view, we also chose to specify the context of the table as table

 

If you want to add Bootstrap CSS to the table:

env > mysite > main > tables.py

import django_tables2 as tables
from .models import MyModel

class MyTable(tables.Table):
    class Meta:
        model = MyModel
        template_name = "django_tables2/bootstrap4.html"
        fields = ("name", "email",)

 

Add a template name to the tables.py file connecting to the Bootstrap template. This and other template files can be found in the Lib > site-packages > django_tables2 > templates > django_tables2 folder of your project.

 

env > mysite > main > templates > main > (New File) table.html

{% extends "main/header.html" %}

{% block content %}

{% load render_table from django_tables2 %}

<div class="container">
    {% render_table table %}
</div>

{% endblock %}

Then you can extend to a header that loads in the Bootstrap CDNs. This is the easiest way of adding Bootstrap to all of your templates using the same piece of code.

If you are unsure of how to use the extends tag with the Bootstrap CDNs, check out the Django extends tag and block content section in the Beginner's Guide to Django Web Apps

 


 

(5) Django Filter

macOS Terminal

(env)User-Macbook:mysite user$  pip install django-filter

Windows Command Prompt

(env) C:\Users\Owner\desktop\code\env\mysite>  pip install django-filter

Now that you have a table, you probably want the ability to search for specific content within the rows and filter the table by its results. The django-filter package can easily be used on top of the django-tables2 package to accomplish this.

 

env > mysite > mysite > settings.py

INSTALLED_APPS = [
    ...
    'django_filters',
]

Add Django filters to the installed apps. Note that is django_filters not django_filter.

 

env > mysite > main > (New File) filters.py

import django_filters
from .models import MyModel


class MyFilter(django_filters.FilterSet):
	name = django_filters.CharFilter(lookup_expr='icontains')

	class Meta:
		model = MyModel
		fields = {'name', 'email'}

 

Now, create a new file called filters.py in the application folder, main, and import django_filters. Then list the model and the model fields you wish to filter by.

You can also choose to add django_filters.CharFilter to the class. In the example above, the filter displays any rows where the name column contains the query specified. 

You can also choose to do django_filters.CharFilter(lookup_expr='iexact') if you are looking to filter only by an exact query match.

 

env > mysite > main > views.py (Class-based views)

...
from django_tables2 import SingleTableMixin
from django_filters.views import FilterView

from .models import MyModel
from .tables import MyTable
from .filters import MyFilter


class ListView(SingleTableMixin, FilterView):
    model = MyModel
    table_class = MyTable
    template_name = 'main/table.html'
    filterset_class = MyFilter

 

Then for a class-based view, import FilterView from django_filters.views at the top of the file and change django_tables2 import from SingleTableView to SingleTableMixin. You will also need to import your custom filter from the filter.py file.

In the class view, ListView will now inherit SingleTableMixin and FilterView and list the filterset_class as the custom filter within it. 

 

env > mysite > main > templates > main > table.html

{% load render_table from django_tables2 %}

<div>
    <br>
    <form action="" method="GET">
        {{filter.form}}
        <button type="submit">Filter</button>
    </form>
    <br>
    {% render_table table %}
</div>

With class-based views, the URL will stay the same but you will need to add a form HTML element and the Django Template language calling the filter and the form within the template. You also need a submit button within the form to submit your filter queries. Nothing changes about the way the table renders.

 

env > mysite > main > views.py (Function-based views)

...
from django_tables2.views import SingleTableMixin
from django_filter import FilterView

from .models import MyModel
from .tables import MyTable


def list(request):
	model = MyModel.objects.all()
	filterset_class = MyFilter(request.GET, model)
	table = MyTable(filterset_class.qs)
	return render(request=request, template_name="main/table.html", context={"model":model, "table":table, "filterset_class":filterset_class})

 

If using function-based views, make the same imports and the class-based views, then create an instance of the MyFilter class and pass in a GET request and model as arguments. Pass in the filterset_class as a queryset argument in the table then lists the filterset_class as context in the return render. 

 

env > mysite > main > templates > main > table.html

{% load render_table from django_tables2 %}

<div>
    <br>
    <form action="" method="GET">
        {{filterset_class.form}}
        <button type="submit">Filter</button>
    </form>
    <br>
    {% render_table table %}
</div>

With function-based views, you will need to specify the filterset_class, or the context declared, as the filter on the form. Everything else is the same format as the class-based template.

If you are looking to style the form, either scroll back up to the Django Crispy Forms section or click at the article mentioned earlier, Render Forms with Django Crispy Forms.

 


 

(6) Python Decouple

macOS Terminal

(env)User-Macbook:mysite user$ pip install python-decouple

Windows Command Prompt

(env) C:\Users\Owner\desktop\code\env\mysite> pip install python-decouple

The last and arguably most important Python package we will discuss is python-decouple. This package hides your sensitive configuration keys and information from hackers. It was created for Django but it is now considered a "generic tool" for separating configuration settings.

 

env > mysite > (New File) .env

SECRET_KEY =sdjioerb43buobnodhioh4i34hgip
DEBUG =True

env > mysite > mysite > settings.py

from decouple import config

SECRET_KEY = config('SECRET_KEY')
DEBUG = config('DEBUG', cast=bool)

Create a new file named .env in the project folder then import config in the settings.py file. Then transfer all of the configuration settings and variables you wish to hide to the .env file and call each variable using the python-decouple format of config('variable').

#programming #django #python

Rui  Silva

Rui Silva

1641884883

Como anexar A Uma Lista Ou Matriz Em Python Como Um Profissional

Neste artigo, você aprenderá sobre o .append()método em Python. Você também verá como .append()difere de outros métodos usados ​​para adicionar elementos a listas.

Vamos começar!

O que são listas em Python? Uma definição para iniciantes

Uma matriz na programação é uma coleção ordenada de itens e todos os itens precisam ser do mesmo tipo de dados.

No entanto, ao contrário de outras linguagens de programação, os arrays não são uma estrutura de dados embutida no Python. Em vez de arrays tradicionais, o Python usa listas.

Listas são essencialmente arrays dinâmicos e são uma das estruturas de dados mais comuns e poderosas em Python.

Você pode pensar neles como contêineres ordenados. Eles armazenam e organizam tipos semelhantes de dados relacionados juntos.

Os elementos armazenados em uma lista podem ser de qualquer tipo de dados.

Pode haver listas de inteiros (números inteiros), listas de floats (números de ponto flutuante), listas de strings (texto) e listas de qualquer outro tipo de dados interno do Python.

Embora seja possível que as listas contenham apenas itens do mesmo tipo de dados, elas são mais flexíveis do que as matrizes tradicionais. Isso significa que pode haver uma variedade de tipos de dados diferentes dentro da mesma lista.

As listas têm 0 ou mais itens, o que significa que também pode haver listas vazias. Dentro de uma lista também pode haver valores duplicados.

Os valores são separados por uma vírgula e colocados entre colchetes, [].

Como criar listas em Python

Para criar uma nova lista, primeiro dê um nome à lista. Em seguida, adicione o operador de atribuição ( =) e um par de colchetes de abertura e fechamento. Dentro dos colchetes, adicione os valores que você deseja que a lista contenha.

#create a new list of names
names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

#print the list to the console
print(names)

#output
#['Jimmy', 'Timmy', 'Kenny', 'Lenny']

Como as listas são indexadas em Python

As listas mantêm uma ordem para cada item.

Cada item na coleção tem seu próprio número de índice, que você pode usar para acessar o próprio item.

Índices em Python (e em qualquer outra linguagem de programação moderna) começam em 0 e aumentam para cada item da lista.

Por exemplo, a lista criada anteriormente tinha 4 valores:

names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

O primeiro valor na lista, "Jimmy", tem um índice de 0.

O segundo valor na lista, "Timmy", tem um índice de 1.

O terceiro valor na lista, "Kenny", tem um índice de 2.

O quarto valor na lista, "Lenny", tem um índice de 3.

Para acessar um elemento na lista por seu número de índice, primeiro escreva o nome da lista, depois entre colchetes escreva o inteiro do índice do elemento.

Por exemplo, se você quisesse acessar o elemento que tem um índice de 2, você faria:

names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

print(names[2])

#output
#Kenny

Listas em Python são mutáveis

Em Python, quando os objetos são mutáveis , significa que seus valores podem ser alterados depois de criados.

As listas são objetos mutáveis, portanto, você pode atualizá-las e alterá-las depois de criadas.

As listas também são dinâmicas, o que significa que podem crescer e diminuir ao longo da vida de um programa.

Os itens podem ser removidos de uma lista existente e novos itens podem ser adicionados a uma lista existente.

Existem métodos internos para adicionar e remover itens de listas.

Por exemplo, para add itens, há as .append(), .insert()e .extend()métodos.

Para remove itens, há as .remove(), .pop()e .pop(index)métodos.

O que o .append()método faz?

O .append()método adiciona um elemento adicional ao final de uma lista já existente.

A sintaxe geral se parece com isso:

list_name.append(item)

Vamos decompô-lo:

  • list_name é o nome que você deu à lista.
  • .append()é o método de lista para adicionar um item ao final de list_name.
  • item é o item individual especificado que você deseja adicionar.

Ao usar .append(), a lista original é modificada. Nenhuma nova lista é criada.

Se você quiser adicionar um nome extra à lista criada anteriormente, faça o seguinte:

names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

#add the name Dylan to the end of the list
names.append("Dylan")

print(names)

#output
#['Jimmy', 'Timmy', 'Kenny', 'Lenny', 'Dylan']

Qual é a diferença entre os métodos .append()e .insert()?

A diferença entre os dois métodos é que .append()adiciona um item ao final de uma lista, enquanto .insert()insere um item em uma posição especificada na lista.

Como você viu na seção anterior, .append()irá adicionar o item que você passar como argumento para a função sempre no final da lista.

Se você não quiser apenas adicionar itens ao final de uma lista, poderá especificar a posição com a qual deseja adicioná-los .insert().

A sintaxe geral fica assim:

list_name.insert(position,item)

Vamos decompô-lo:

  • list_name é o nome da lista.
  • .insert() é o método de lista para inserir um item em uma lista.
  • positioné o primeiro argumento para o método. É sempre um número inteiro - especificamente é o número de índice da posição onde você deseja que o novo item seja colocado.
  • itemé o segundo argumento para o método. Aqui você especifica o novo item que deseja adicionar à lista.

Por exemplo, digamos que você tenha a seguinte lista de linguagens de programação:

programming_languages = ["JavaScript", "Java", "C++"]

print(programming_languages)

#output
#['JavaScript', 'Java', 'C++']

Se você quisesse inserir "Python" no início da lista, como um novo item da lista, você usaria o .insert()método e especificaria a posição como 0. (Lembre-se de que o primeiro valor em uma lista sempre tem um índice de 0.)

programming_languages = ["JavaScript", "Java", "C++"]

programming_languages.insert(0, "Python")

print(programming_languages)

#output
#['Python', 'JavaScript', 'Java', 'C++']

Se, em vez disso, você quisesse que "JavaScript" fosse o primeiro item da lista e, em seguida, adicionasse "Python" como o novo item, você especificaria a posição como 1:

programming_languages = ["JavaScript", "Java", "C++"]

programming_languages.insert(1,"Python")

print(programming_languages)

#output
#['JavaScript', 'Python', 'Java', 'C++']

O .insert()método oferece um pouco mais de flexibilidade em comparação com o .append()método que apenas adiciona um novo item ao final da lista.

Qual é a diferença entre os métodos .append()e .extend()?

E se você quiser adicionar mais de um item a uma lista de uma só vez, em vez de adicioná-los um de cada vez?

Você pode usar o .append()método para adicionar mais de um item ao final de uma lista.

Digamos que você tenha uma lista que contém apenas duas linguagens de programação:

programming_languages = ["JavaScript", "Java"]

print(programming_languages)

#output
#['JavaScript', 'Java']

Você então deseja adicionar mais dois idiomas, no final dele.

Nesse caso, você passa uma lista contendo os dois novos valores que deseja adicionar, como argumento para .append():

programming_languages = ["JavaScript", "Java"]

#add two new items to the end of the list
programming_languages.append(["Python","C++"])

print(programming_languages)

#output
#['JavaScript', 'Java', ['Python', 'C++']]

Se você observar mais de perto a saída acima, ['JavaScript', 'Java', ['Python', 'C++']], verá que uma nova lista foi adicionada ao final da lista já existente.

Então, .append() adiciona uma lista dentro de uma lista .

Listas são objetos, e quando você usa .append()para adicionar outra lista em uma lista, os novos itens serão adicionados como um único objeto (item).

Digamos que você já tenha duas listas, assim:

names = ["Jimmy", "Timmy"]
more_names = ["Kenny", "Lenny"]

E se você quiser combinar o conteúdo de ambas as listas em uma, adicionando o conteúdo de more_namesa names?

Quando o .append()método é usado para essa finalidade, outra lista é criada dentro de names:

names = ["Jimmy", "Timmy"]
more_names = ["Kenny", "Lenny"]

#add contents of more_names to names
names.append(more_names)

print(names)

#output
#['Jimmy', 'Timmy', ['Kenny', 'Lenny']]

Então, .append()adiciona os novos elementos como outra lista, anexando o objeto ao final.

Para realmente concatenar (adicionar) listas e combinar todos os itens de uma lista para outra , você precisa usar o .extend()método.

A sintaxe geral fica assim:

list_name.extend(iterable/other_list_name)

Vamos decompô-lo:

  • list_name é o nome de uma das listas.
  • .extend() é o método para adicionar todo o conteúdo de uma lista a outra.
  • iterablepode ser qualquer iterável, como outra lista, por exemplo, another_list_name. Nesse caso, another_list_nameé uma lista que será concatenada com list_name, e seu conteúdo será adicionado um a um ao final de list_name, como itens separados.

Então, tomando o exemplo anterior, quando .append()for substituído por .extend(), a saída ficará assim:

names = ["Jimmy", "Timmy"]
more_names = ["Kenny", "Lenny"]

names.extend(more_names)

print(names)

#output
#['Jimmy', 'Timmy', 'Kenny', 'Lenny']

Quando usamos .extend(), a nameslista foi estendida e seu comprimento aumentado em 2.

A maneira como .extend()funciona é que ele pega uma lista (ou outro iterável) como argumento, itera sobre cada elemento e, em seguida, cada elemento no iterável é adicionado à lista.

Há outra diferença entre .append()e .extend().

Quando você deseja adicionar uma string, como visto anteriormente, .append()adiciona o item inteiro e único ao final da lista:

names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

#add the name Dylan to the end of the list
names.append("Dylan")

print(names)

#output
#['Jimmy', 'Timmy', 'Kenny', 'Lenny', 'Dylan']

Se, em .extend()vez disso, você adicionasse uma string ao final de uma lista, cada caractere na string seria adicionado como um item individual à lista.

Isso ocorre porque as strings são iteráveis ​​e .extend()iteram sobre o argumento iterável passado para ela.

Então, o exemplo acima ficaria assim:

names = ["Jimmy", "Timmy", "Kenny", "Lenny"]

#pass a string(iterable) to .extend()
names.extend("Dylan")

print(names)

#output
#['Jimmy', 'Timmy', 'Kenny', 'Lenny', 'D', 'y', 'l', 'a', 'n']

Conclusão

Resumindo, o .append()método é usado para adicionar um item ao final de uma lista existente, sem criar uma nova lista.

Quando é usado para adicionar uma lista a outra lista, cria uma lista dentro de uma lista.

Se você quiser saber mais sobre Python, confira a Certificação Python do freeCodeCamp . Você começará a aprender de maneira interativa e amigável para iniciantes. Você também construirá cinco projetos no final para colocar em prática o que aprendeu.


fonte: https://www.freecodecamp.org

#python 

Marcus Anthony

1613713883

Venmo Clone - Launch a P2P Payment App Like Venmo

Many payment apps are making their way towards the marketplace. But the ones that support swift transactions and security features will grab the interest of users. If you wish to gain quicker attention from users then you have no other option than to develop the Venmo clone script. The app has many security features that ensure the safety of the user’s funds.

#venmo clone #venmo clone app #venmo clone script #payment app development #venmo clone app development #venmo like app development