Ecommerce Website Using Python

Django project – Creating a Basic E-commerce Website for …

Project Title – Basic Ecommerce Website using Django Django is a powerful framework based on python. Here we will see how to create a basic e-commerce website in Django. This project includes storing products in the database and show them on the website. Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics. To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level CourseRefer to the following articles to check how to create a project and an app in to Create a Basic Project using MVT in Django? How to Create an App in Django? How to Create a Basic Ecommerce Website using Django? Now when you have successfully installed Django. Create a new project – django-admin startproject ecom Now create a new app called frontend inside the ecom project. Now we have 1 project and 1 app inside of that project. ]django-admin startapp frontendDirectory structure – Creating URLs – In ecom> add the following lines. This file handles main project URLs. But we don’t want to disturb it, so we will do our work in frontend > And for that we need to include frontend > URLs inside the ecom> URLs. urlpatterns = [
path(‘admin/’, ),
path(”, include(”)), ]Creating Models – Add a product model here. class Product():
productname = arField(max_length=200)
price = cimalField(max_digits=5, decimal_places=2)
description = models. TextField()
image = arField(max_length=5000, null=True, blank=True)To know more about Django models, check out – Django ModelsRegister Models into admin – Just after creating model, we should register that form into from ntrib import admin
from import *
(Product)Creating Views for Displaying Products – In frontend > we write a function to get and display products from our database. from ortcuts import render
def products(request):
productss = ()
return render(request, ”, {‘productss’:productss})Creating Url for products – Here we will set dynamic URL which can be useful to display our products. In frontend > import path
from. import views
urlpatterns = [
path(‘products/’, oducts, name=’products’), ]Creating Template – Creating template depends upon how you want to display products on website. For displaying products we have shared a simple code. Add it in frontend > templates > {% for product in productss%}

Card image cap

{{ oductname}}

{{ scription}}

Price – {{}}

Buy Now

{% endfor%}Makemigrations and Migrate –Now its time to migrate our model into database. First, we have to create migrations. For that type following code into makemigrationsAfter creating migrations type following code to apply those migrationspython migrateTo know more about makemigrations and migrate, check out – Basic App Model – Makemigrations and MigrateCreating Superuser – Now, create Django superuser for handling admin stuff. Type following command in terminal django-admin createsuperuserThen it will ask for username, email and password. Run the app After creating superuser, in terminal type, python runserver to start the server and go to admin panel (localhost:8000/admin) and add some products to the – Thats it. Your basic eCommerce site is ready where you can display your products
When It Makes Sense to Use Python to Build an eCommerce ...

When It Makes Sense to Use Python to Build an eCommerce …

Should you develop an eCommerce website from scratch or use an existing solution? There’s an ongoing debate as to the best approach for businesses and which option makes the most financial sense. Both sides have valid points. For some businesses, going off-the-shelf makes more sense, whereas for others, custom development is the only reasonable option. So what’s right for you? To find out, start by asking yourself these three questions:Does my website need to handle thousands or even millions of users? Does my website need to handle high loads and provide fast performance? Does my project require unique features? If your answer to all these questions is yes, consider building youreCommerce website using Python. To understand why, we’ve analyzed eCommerce development with Python in light of three important factors: scalability, performance, and unique your answers to these questions are no, you’d better use an eCommerce platform. To see the whole picture, we’ll walk you through cases when a ready-made solution is the best way to alabilityFor eCommerce platforms, scalability matters. Retailers look to attract new customers and increase sales. And when the number of customers grows, your platform needs to grow may ask, Can’t I run a scalable business with a ready-made solution? Yes, you can. Platforms such as Shopify and Magento can scale. But what differs is the cost of aling Python/Django websitesWith custom development, there are two ways to go about scaling your project: vertically or put it simply:Vertical scaling is when you add more power to your platform by upgrading your project’s infrastructure. To scale your platform vertically, you add more database servers, caching servers, and web servers to your platform. Django provides mechanisms to do this by default. Horizontal scaling is when you scale Django instances. In other words, you add more machines. Horizontal scaling isn’t a must; it’s applied when vertical scaling isn’t mWhen scaling, it’s important to get things right from the start. At Steelkiwi, we begin each project by discussing the idea, the product’s functionality, and scaling plans, including how many users the client expects to have when their platform is released and how many they expect in the future. By doing this, we can define which scaling method is right for our client’s app. Next, we design the architecture to scale so that scaling the platform is painless when the time rtical scaling is the most cost-efficient, as you can pay Amazon Web Services (AWS) to add more servers and a developer to support those servers. When scaling your platform horizontally, you need to pay for servers and actual software aling with off-the-shelf-solutionsScaling with eCommerce platforms is a bit different. With Shopify, for example, you can start a website with any plan ― Basic Shopify, Shopify, Advanced Shopify ― and scale your store by changing your plan. Here is Shoppify’s pricing:Source: your platform grows even more, you can migrate to Shopify Plus, a scalable solution for enterprises. This enterprise plan starts at around $2, 000 per month, which means you’ll pay at least $24, 000 a you want to develop a scalable website with Magento, they have a solution called Magento Commerce, previously known as Magento Enterprise Edition (EE). A license for Magento EE costs $24, 000 per If you’re non-technical, you’ll have to hire a software developer to build your website with Magento, as it requires technical skills. The hourly rate for a Magento developer differs depending on their location. For example, if you hire a software engineer from Eastern Europe, development will cost you $15–30 per hour. The hourly rate for a US Magento developer is $75–rformance and optimizationWith Django, you can develop a website with high performance from the beginning. There are a variety of techniques and Django tools that can help you get your code running more efficiently, faster, and using fewer system resources. These tools aim at optimizing caching, database performance, and HTTP ditionally, Django provides tools such as django-debug-toolbar to get insights into where inefficiencies are in your code so you know what to optimize. You can also use third-party apps such as Google PageSpeed and Yahoo’s YslowGoogle PageSpeed to better understand your platform’s overall you’re interested in more information and an explanation of optimization gains with Django, read the official documentation by the Django Software Foundation. There, you can find an overview of Django tools and techniques to improve your site’s performance and minimize memory companies have been using Python for many years and are proof of its performance and scalability. Retail platforms like Wish and Instacart are great examples here. Non-commerce websites that use Python/Django include Disqus, Instagram, Pinterest, YouTube, Mozilla, The Washington Post, Spotify, Eventbrite, and about the performance of ready-made solutions? High performance isn’t their strong suit. The main reason for that is third-party extensions. With off-the-shelf solutions, you’ll most likely require third-party extensions to add the necessary functionality. The problem is they take up lots of space, which increases load time and decreases performance. Therefore, the more third-party apps a website has, the worse its ’s talk numbers. According to Littledata, the average load speed of a Magento page is 2. 8 seconds, while for Shopify, it’s 2. 6 seconds. Large e-stores have slower loading times. On average, it takes a Magento store 6 seconds and a Shopify store 6. 8 seconds to fully featuresIf you need functionality to meet specific business needs or a particular design to fit your brand, then you’ll need custom custom development, you can also benefit from artificial intelligence and machine learning. Today, these new fieldsare among the top technology trends in the retail names in eCommerce have invested a lot in these new areas and are already benefiting from them in a variety of chine learning in eCommerceHow does Amazon know what you want to buy before you actually buy it? And how does eBay pick items just for you? Product recommendations are powered by machine are several key machine learning use cases in eCommerce:Recommendations to provide users with the most relevant items. Amazon is famous for its recommendation engine. eBay is another good example. With around 1. 2 billion items listed, they manage to predict what’s most relevant for each customer by analyzing search history, buying behavior, and how users with similar preferences and behaviors interact with recognition. American Eagle, an American casual apparel and accessories retailer, lets users search for items by photos. Walmart benefits from facial recognition with machine learning to define frustrated and unhappy shoppers through their facial detection. With machine learning, you can process thousands of transactions faster than any human analyst could and prevent fraudulent payments before they recognition and machine translation to understand what your customers say. Alibaba translates every customer review, product title, category, and is the most popular programming language for machine learning according to the 2021 Octoverse report. Tensorflow, an open-source Python machine learning project, and PyTorch, a Python machine learning library, were the most contributed to and fast-growing GitHub addition to these two solutions, Python provides lots of other useful scientific libraries and frameworks, so you’ll find a tool for literally any machine learning use case. For example, you can use SciPy, Pandas, NumPy, and Seaborn for data analysis and visualization; TensorFlow, Keras, and scikit for machine learning; NLTK and spaCy for natural language you shouldn’t develop aneCommerce website in PythonFor some use cases, custom development may not be the best option. Let’s take a moment to review some instances when it makes sense to use an eCommerce platform to develop your online ’d rather create an e-store yourself without software developersA ready-made platform might be the only option if you want to build a store without actual coding. Yet this is possible only for small websites with little functionality and no off-the-shelf software, you can create a simple website without coding knowledge, but you’ll need coding for any extensions, premium templates, and customizations. Take Shopify as an example. It gives you control over your designs by letting you edit HTML and CSS. To do this, you’ll need to have at least basic HTML/CSS skills or hire a web developer. In the case of Magento, you’ll need a programmer’s need features that exist in a ready-made solutionMost ready-made solutions offer the necessary functionality to build and manage an eCommerce website. For instance, BigCommerce features a content management system (CMS), payment functionality, order and inventory management, order fulfillment and shipment, discounts, return management, and app integrations. With OpenCart, store owners can benefit from unlimited products and categories, product ratings and reviews, multi-currency and multi-lingual support, an admin dashboard, payment gateway integration, shipping integrations, and sales templates work for youOff-the-shelf solutions provide quite a lot of templates (both free and paid), usually with limited options to customize Often, theme customizations require technical skills. Remember Shopify? You can’t do even basic editing of your layout without HTML/ have a limited budgetIf money is an issue, consider using a ready-made solution. Initially, you won’t have to invest too much to build your platform. But remember that each time you want to add functionality, implement add-ons, or customize features, you’ll in mind that a ready-made platform isn’t always cheap. Often, you need to rely on third-party apps to add functionality, which means you’ll pay additional fees. Want social login? It’ll cost you an extra $9 each month. Need to use an external payment gateway? There’s a fee for same goes for lots of other mming up: Should you choose Python for eCommerce development? Python is a solution for fully custom development, meaning you can decide on everything while building your website, from designs to functionality. With Python, you can create a large-scale and high-performance app. Development might take a big bite out of your budget, but it’s a one-time investment of this size. There will also be some expenses in the future when you decide to implement new features and make changes. But the nice thing about custom development is that you own the platform. Even if you don’t add more features, change existing features, or change the design, it’s still yours and it eCommerce builders, on the other hand, you pay less to set up your website but then keep paying to use it. Today, ready-made platforms are highly customizable and include must-have functionality for an eCommerce platform. But if you decide to build a scalable platform with an off-the-shelf solution, there’s a good chance you’ll find yourself paying more than you would have if you developed from is similar to renting versus buying a house. Buying entails lots of initial expenses and some maintenance costs for redoing a bathroom, renovating the kitchen, or simply replacing household renting, you pay in small parts on a regular basis, so your expenses may be less painful. Want to renovate or redo your rental property? You’ll have to pay. You get value for your monthly rent payments: a place to live for a period of time. But renting doesn’t have any future value once your payments stop. The same goes for ready-made platforms: you have an online store while you’re paying for it. Once you stop paying, the website you created isn’t really hope our eCommerce with Python guide has given you a better understanding of what’s best for you: building an eCommerce website with Pythonor using a ready-made platform. Meanwhile, you can check out our portfolio of solutions built with Python.
Guide to Django E-Commerce (Wagtail CMS Shop Tutorial)

Guide to Django E-Commerce (Wagtail CMS Shop Tutorial)

In a rush? Skip to the tutorial, or live demo”D-J-A-N-G-O. The D is silent. “Man, I love that line. So the eponymous character from Quentin Tarantino’s masterpiece isn’t the only badass Django in is the popular Python framework of the same name. Today, we’re leaving the realm of JavaScript frameworks for a quick venture into Django this post, I’ll answer legitimate questions you might have when starting a new e-commerce project, such as:Is Python the right language for my project? What about Django? Is it the right framework? Which tools or plugins should I use? Then, I’ll show you our homemade recipe for Django-powered e-commerce success with a step-by-step Wagtail CMS and Tailwind CSS tutorial:Creating a new Wagtail Snipcart configuration nerating database eating new products for your Django afting a Tailwind CSS e-commerce ‘s start with the State of PythonOne of the main reasons to pick the Django framework is its Python foundation. A general-purpose, dynamic programming language, Python was developed by ex-Googler Guido van Rossum in the late ’80s. A fan of Monthy Python, he took one-half of the name to baptize his programming can you not be fans? He wasn’t joking, though. To say that Python has become “popular” is an, it’s used by hundreds of thousands of developers all over the world. As StackOverflow puts it:The term “fastest-growing” can be hard to define precisely, but we make the case that Python has a solid claim to being the fastest-growing major programming language. A few reasons explain the Python love:Its grammatical readability is has a fast learning curve for boasts a long-lasting, solid ecosystem of libraries & communityIt’s now the standard language for data science & machine powers great dev tools like Pelican, a neat static blog is written in Python. What about the Django framework? Django is an open-source, high-level Python web framework. Its emphasis on reusable components makes it faster for developers to build web apps on top of Python. It presents itself as a web framework for perfectionists with maintained by the Django Software Foundation, it was originally written by two brilliant Lawrence Journal-World developers. Oh, and while Python draws its name from comedy icons, Django got his from a versatile guitar legend: Django Reinhardt! As a full-stack framework, it overshadows pretty much any alternative tool out there. It’s fast, fully loaded, secure, scalable & versatile. All characteristics you’ll probably want to apply to your e-commerce setup! Why use Django for e-commerce? While you can do a lot with Django, let’s keep the focus on what it brings to e-commerce and the different tools available to put together an online, here are some Django features to consider if you’re looking for the right framework to build a shop. → ScalabilityDjango is perfect for e-commerce startups, as it’s a good fit for small websites and can scale perfectly with business growth. You can rely on Django to handle hundreds/thousands of visitors at a time. It’s built with independent components you can unplug or replace depending on your needs at any specific time. → SecurityWith e-commerce, you want to make sure merchants and clients alike feel safe through your shopping experience. Django prevents a whole lot of common security mistakes, often weakening traditional PHP CMSs. For instance, Django hides your site’s source code from direct viewing on the web by dynamically generating web pages. → Feature-richCompared to most frameworks, Django comes with way more features out-of-the-box. It allows you to build an app right off the bat. Perfect for supporting your online store with functionalities such as user authentification, content management, or RSS feed. If something seems to be missing, you can count on Django’s community and plugins ecosystem to extend your app! → SEO-friendlySEO is paramount for any online business. Django advocates best practices for SEO. Human-readable URLs and sitemap features are sure to please any marketing, and also, it’s fast, which is always great for both customer experience and SEO. → ReliableIt has been crowd-tested for a while now, and the community surrounding it is widely supportive. Active developers continuously update it; maybe you’ll even find yourself e-commerce toolsThere are a few noteworthy e-commerce solutions in the Python/Django ecosystem:Oscar — Domain-driven e-commerce for Django, — An e-commerce storefront written in Python, — A Django-based shop — A single and multi-vendor can explore more options through this extensive list of the best e-commerce let me present you with another cool stack for a complete and custom e-commerce setup with Django. Wagtail CMS + Snipcart e-commerce Wagtail is a developer-first Django content management system. Free and open-source, the good-hearted folks at Torchbox developed it. It’s elegant, flexible, and, IMHO, kicks the following Wagtail tutorial, the CMS will be in charge of creating and managing products that users will then be able to buy through a shopping the end of it, you’ll have a solid Django-powered e-commerce site up and ‘s get practical! Django e-commerce tutorial with Wagtail CMS Over my time at Snipcart, I’ve kind of developed expertise in shopping carts. Why not push it a bit further by creating a shopping cart shop? Let’s see how it Snipcart account (forever free in test mode)Python and basic knowledge of it1. Creating a new Wagtail e-commerce siteMake sure you have Wagtail installed. If not, refer to their installation a terminal and launch a new Wagtail site:wagtail start snipcartwagtaildemo
cd snipcartwagtaildemoWe have an extra step to complete the Wagtail setup, and it’s to install the ttings plugin that we’ll require later your new Wagtail project, open the file located in snipcartwaigtaildemo/settings folder. Then, add ttings to the INSTALLED_APPS array. #. /setting/
‘ttings’]1. 1 Models definitionThe first thing you need to do is create your Page models. Wagtail uses these Django models to generate a page the file located in the home folder of your product. This is where you’ll define all your custom two different models:Product: defines the product you’re oductCustomField: defines a single product custom ‘s begin by importing the required modules:#. /home/
from import models
from import ParentalKey
from import Page, Orderable
from import FieldPanel, MultiFieldPanel, InlinePanel
from import ImageChooserPanelNow add the Product model:#. /home/
class Product(Page):
sku = arField(max_length=255)
short_description = models. TextField(blank=True, null=True)
price = cimalField(decimal_places=2, max_digits=10)
image = reignKey(
content_panels = ntent_panels + [
InlinePanel(‘custom_fields’, label=’Custom fields’), ]And ProductCustomField:#. /home/
class ProductCustomField(Orderable):
product = ParentalKey(Product, SCADE, related_name=’custom_fields’)
name = arField(max_length=255)
options = arField(max_length=500, null=True, blank=True)
panels = [
FieldPanel(‘options’)]2. Adding Snipcart configuration settingsIf you need more help with this part, refer to our documentation here and ‘s make sure you can update the Snipcart API key directly from Wagtail’s ‘ll need to add site settings to do settings are special fields that you can add to your file. They’ll appear in the Wagtail Settings section of the this module:#. /home/
from import BaseSetting, register_settingThen add these:#. /home/
class SnipcartSettings(BaseSetting):
api_key = arField(
help_text=’Your Snipcart public API key’)3. Database migrationsNow that your models are created, you’ll need to generate database migrations and run your terminal, use the makemigrations command:You should see the following output:Migrations for ‘home’:
– Create model Product
– Create model SnipcartSettings
– Create model ProductCustomFieldOnce the migrations are generated, apply them to your database with the migrate command:It will take a couple of seconds; Wagtail will set up its own database schema along with the models you just nally, create your first CMS user with the createsuperuser createsuperuserIt will ask for an email address, a username, and to create a password. Don’t forget the username and password you picked; you will need them to log into Wagtail’s dashboard. 4. Creating productsStart by firing up your dev server with the Django dev server command:Now open your browser and navigate to. Use the credentials you set up earlier to log the Home page in Wagtail’s menu. Then click on the Add child page ‘ll be asked to pick a type of page, select Home page and give it a back to the Home page menu and click Add child page button under your newly created page. Once again, you’ll be asked to pick a type of page, this time select Product. Enter the product details, then publish your new product: You can create as many products as you wish. 1 Adding Snipcart API keyRemember the SnipcartSettings class you created? You’ll be able to configure your API key by expanding the Settings menu and going to Snipcart settings. Open Snipcart’s dashboard and get your public API key (Test or Live), go back to Wagtail, and paste it in the API key your settings. 5. TemplatingYour backend is now ready, your API key is configured, and your first products are created—time to start building the this demo, I decided to use the Tailwind CSS framework. It enables you to build any design directly in your HTML rapidly. 1 – The Tailwind CSS build processCreate a new directory within your Django project, in which you’ll install Tailwind CSS like in any project setup:cd your-django-folder
mkdir jstoolchain
cd jstoolchain
npm install tailwindcss postcss-cli autoprefixer
npx tailwind init
npx touch this file located in jstoolchain, add:module. exports = {
plugins: [
require(‘autoprefixer’)]}Then, run: mkdir css npx touch css/ this file, add this:@tailwind base;
@tailwind components;
@tailwind utilities;Now, add a script in your jstoolchain/ (create a if it’s not already there) file to create the build process and specify the output file, such as:{
“scripts”: {
“build”: “postcss css/ -o.. /your-django-folder/your-path-to-static/css/”}}Now, run:npm run-script buildThis should run without error, and should now be filled with thousands of you can actually use Tailwind CSS classes by including the outputted CSS file into a Django template file along with Django’s call to load the static files:{% load static%}
2 – Handling auto-reload locallyTo ease development, what’s missing now is to auto-reload the Django development server when an HTML file is changed and saved. For this, I installed django-livereload-server. Just follow setup instructions. This will work as expected out of the box, without any special configuration. 3 – The purgeCSS processWhen you’re ready to deploy, to ensure the CSS output file is not bloated with useless classes, go to jstoolchain/ file, and add: purge: {
enabled: true,
content: [‘.. /your-django-folder/path-to-your-templates/**/*’], }, Your backend is now ready, your API key is configured, and your first products are created—time to start building the the file located in snipcartwaigtaildemo/templatesYou’ll need to add references for and Snipcart. Add these lines in the head of your document:
{% load static%} {% load static wagtailsettings_tags%}
{% get_settings%}
{# Global stylesheets #}
{# Snipcart #}
{% if%}

” />
{% endif%}The Snipcart API key that you configured previously is available, add the navbar and some other layout place the body with these lines:
{% wagtailuserbar%}

{% block content%}{% endblock%}
{# Global javascript #}

{% block extra_js%}
{# Override this in templates to add extra javascript #}
{% endblock%}
5. 1 Listing productsThe first template you need is your index, where products will be ‘ll have to make your products available in your home page context. In any Wagtail Page, you can override a method name can add the data that the view will receive in parameters. In my case, I want to set the products context the file in the home folder and update the HomePage class:#. /home/
class HomePage(Page):
def get_context(self, request):
context = super(). get_context(request)
context[‘products’] = ild_of(self)()
return contextThen, open the file located in the home/templates/home ‘s create a simple home page with a button linking to our shop page.
{% extends “”%}
{% load wagtailimages_tags%}
{% block content%}

The Shopping Cart Shop

{% if == ‘/’%}

{% endblock%}Then, add some JavaScript to update the Snipcart buy button when a custom field selection is made on the the following script snippet before the endblock statement:This code updates the button data attributes when the select value now have pretty strong foundations to start your e-commerce project using Django and Wagtail! These frameworks are very powerful; you could quickly add search functionalities, product suggestions, reviews, demo & GitHub repo Closing thoughtsI really enjoyed working with Wagtail; it’s simple and intuitive. I have to say that their documentation feels incomplete at times, though. At first, I wanted to change how routing would work and haven’t found anything in their the other hand, Tailwind CSS was a joy to work with. Their documentation is beautiful, intuitive, and well documented. I didn’t have the latest version of Python installed on my laptop (a Mac) at the start, so setting up everything and having this demo up and running took me some time. The hosting of the demo was also a bit of a hurdle. I figure it would be way faster for avid Python developers! For further exploration, I think Wagtail could be a great headless CMS, especially with its built-in API. Overall I enjoyed my little venture with Django, Wagtail CMS, and Tailwind CSS. I think it could be cool to leverage it and strapping it to tools like or Gatsby to handle the front me know in the comments your experience using these tools.

Frequently Asked Questions about ecommerce website using python

Can I make eCommerce website with Python?

Django project – Creating a Basic E-commerce Website for Displaying Products. Django is a powerful framework based on python. … This project includes storing products in the database and show them on the website.Jul 4, 2021

Is Python good for eCommerce website?

Summing up: Should you choose Python for eCommerce development? Python is a solution for fully custom development, meaning you can decide on everything while building your website, from designs to functionality.

Is Django good for eCommerce?

Django is perfect for e-commerce startups, as it’s a good fit for small websites and can scale perfectly with business growth. You can rely on Django to handle hundreds/thousands of visitors at a time. It’s built with independent components you can unplug or replace depending on your needs at any specific time.Aug 25, 2021

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