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In this Python article, let's learn about E-commerce: Libraries for E-commerce and Payments in Popular Python
Money
class with optional CLDR-backed locale-aware formatting and an extensible currency exchange.Saleor is an open-source e-commerce platform built with Python, GraphQL, Django and React. Its goal is to deliver dynamic, speedy and personalized shopping solutions and help you create beautiful online stores.
An Unofficial Alipay API for Python, It Contain these API:
pip install alipay
>>> from alipay import Alipay
>>> alipay = Alipay(pid='your_alipay_pid', key='your_alipay_key', seller_email='your_seller_mail')
Or you can use seller_id instead of seller_email:
>>> alipay = Alipay(pid='your_alipay_pid', key='your_alipay_key', seller_id='your_seller_id')
生成即时到账支付链接
Introduction: https://b.alipay.com/order/productDetail.htm?productId=2012111200373124
>>> alipay.create_direct_pay_by_user_url(out_trade_no='your_order_id', subject='your_order_subject', total_fee='100.0', return_url='your_order
_return_url', notify_url='your_order_notify_url')
'https://mapi.alipay.com/gateway.do?seller_email=.....'
Cartridge is a shopping cart application built using the Django framework. It is BSD licensed, and designed to provide a clean and simple base for developing e-commerce websites. It purposely does not include every conceivable feature of an e-commerce website; instead, Cartridge focuses on providing core features common to most e-commerce websites.
This specific focus stems from the idea that every e-commerce website is different, is tailored to the particular business and products at hand, and should therefore be as easy to customize as possible. Cartridge achieves this goal with a code-base that is as simple as possible and implements only the core features of an e-commerce website.
Cartridge extends the Mezzanine content management platform. A live demo of Cartridge can be found by visiting the Mezzanine live demo.
Cartridge is designed as a plugin for the Mezzanine content management platform, and therefore requires Mezzanine to be installed. The integration of the two applications should occur automatically by following the installation instructions below.
The easiest method is to install directly from PyPI using pip by running the command below, which will also install the required dependencies mentioned above:
$ pip install -U cartridge
Otherwise, you can download Cartridge and install it directly from source:
$ python setup.py install
Once installed, the command mezzanine-project
can be used to create a new Mezzanine project, with Cartridge installed, in similar fashion to django-admin.py
:
$ mezzanine-project -a cartridge project_name
$ cd project_name
$ python manage.py createdb --noinput
$ python manage.py runserver
Here we specify the -a
switch for the mezzanine-project
command, which tells it to use an alternative package (cartridge) for the project template to use. Both Mezzanine and Cartridge contain a project template package containing the settings.py
and urls.py
modules for an initial project. If you'd like to add Cartridge to an existing Mezzanine or Django project, you'll need to manually configure these yourself. See the FAQ section of the Mezzanine documentation for more information.
Note
The createdb
command is a shortcut for using Django's migrate
command, which will also install some demo content, such as a contact form, image gallery, and more. If you'd like to omit this step, use the --nodata
option with createdb
.
You should then be able to browse to http://127.0.0.1:8000/admin/ and log in using the default account (username: admin, password: default
). If you'd like to specify a different username and password during set up, simply exclude the --noinput
option included above when running createdb
.
Oscar is an e-commerce framework for Django designed for building domain-driven sites. It is structured such that any part of the core functionality can be customised to suit the needs of your project. This allows a wide range of e-commerce requirements to be handled, from large-scale B2C sites to complex B2B sites rich in domain-specific business logic.
Django-SHOP aims to be a the easy, fun and fast e-commerce counterpart to django-CMS.
Build the database model out of the product's properties – not vice versa
Most e-commerce systems are shipped with a predefined database model for products. But products can vary a lot, and it simply is impossible to create a model which fits for all of them. This is esspecially true for products with a hierarchy of variants. In many popular e-commerce platforms, you either have far too many attributes per product, and/or the really required attributes are missing.
In django-SHOP implementations, the product models reflect their pysical properties making it possible to create complete and deep hierarchies of variations, but without having to fiddle with unneeded properties. It furthermore avoids the need for an Entity Attribute Value Model, which is considered a database anti-pattern, because it produces far too many table joins, when filtering by property.
With the advent of frameworks, such as Angular, React, Vue and Aurelia, building web-applications shifted from a page-centric to a component-based approach.
In django-SHOP, you are in full control over the page's layout, since all components are encapsulated and independent from each other. This means that instead of adopting the Catalog, Cart, Checkout and Order pages, use the django-CMS plugin system to compose everything required for those pages.
Forex Python is a Free Foreign exchange rates and currency conversion.
Bitcoin prices calculated every minute. For more information visit [CoinDesk](http://www.coindesk.com).
Install using python package
pip install forex-python Or directly cloning the repo: python setup.py install
Initialize class
python >>> from forex_python.converter import CurrencyRates >>> c = CurrencyRates()
list all latest currency rates for "USD"
python >>> c.get_rates('USD') {u'IDR': 13625.0, u'BGN': 1.7433, u'ILS': 3.8794, u'GBP': 0.68641, u'DKK': 6.6289, u'CAD': 1.3106, u'JPY': 110.36, u'HUF': 282.36, u'RON': 4.0162, u'MYR': 4.081, u'SEK': 8.3419, u'SGD': 1.3815, u'HKD': 7.7673, u'AUD': 1.3833, u'CHF': 0.99144, u'KRW': 1187.3, u'CNY': 6.5475, u'TRY': 2.9839, u'HRK': 6.6731, u'NZD': 1.4777, u'THB': 35.73, u'EUR': 0.89135, u'NOK': 8.3212, u'RUB': 66.774, u'INR': 67.473, u'MXN': 18.41, u'CZK': 24.089, u'BRL': 3.5473, u'PLN': 3.94, u'PHP': 46.775, u'ZAR': 15.747}
Get conversion rate from USD to INR
python >>> c.get_rate('USD', 'INR') 67.473
Django-Merchant is a django application that enables you to use multiple payment processors from a single API.
Following gateways are supported:
Money class with optional CLDR-backed locale-aware formatting and an extensible currency exchange solution.
Installation
Install the latest release with:
pip install money
For locale-aware formatting, also install the latest version of Babel (2.2 or 2.3 required):
pip install babel
>>> from money import Money
>>> m = Money(amount='2.22', currency='EUR')
>>> m
EUR 2.22
amount can be any valid value in decimal.Decimal(value)
and currency should be a three-letter currency code. Money objects are immutable by convention and hashable. Once created, you can use read-only properties amount
(decimal.Decimal) and currency
(str) to access its internal components:
>>> m = Money(2, 'USD')
>>> m.amount
Decimal('2')
>>> m.currency
'USD'
Money emulates a numeric type and you can apply most arithmetic and comparison operators between money objects, as well as addition, subtraction, and division with integers (int) and decimal numbers (decimal.Decimal):
>>> m = Money('2.22', 'EUR')
>>> m / 2
EUR 1.11
>>> m + Money('7.77', 'EUR')
EUR 9.99
Display money format and its filthy currencies, for all money lovers out there.
currencies
is available on PyPi
http://pypi.python.org/pypi/currencies
So easily install it by pip
`$ pip install currencies
Or by easy_install
$ easy_install currencies
Another way is by cloning currencies
's git repo
$ git clone git://github.com/Alir3z4/python-currencies.git
Then install it by running:
$ python setup.py install
Displaying money format:
>>> from currencies import Currency
>>>
>>> currency = Currency('USD')
>>> currency.get_money_format(13)
>>> '$13'
>>> currency.get_money_format(13.99)
>>> '$13.99'
>>> currency.get_money_format('13,2313,33')
>>> '$13,2313,33'
>>>
>>> # Displaying with currency as well
>>>
>>> currency.get_money_with_currency_format(13)
>>> '$13 USD'
>>> currency.get_money_with_currency_format(13.99)
>>> '$13.99 USD'
>>> currency.get_money_with_currency_format('13,2313,33')
>>> '$13,2313,33 USD'
A modular, high performance, headless e-commerce platform built with Python, GraphQL, Django, and React.
What makes Saleor special?
Saleor is a rapidly-growing open source e-commerce platform that has served high-volume companies from branches like publishing and apparel since 2012. Based on Python and Django, the latest major update introduces a modular front end powered by a GraphQL API and written with React and TypeScript.
See the Saleor docs for step-by-step installation and deployment instructions.
Note: The main
branch is the development version of Saleor and it may be unstable. To use the latest stable version, download it from the Releases page or switch to a release tag.
The system is implemented using Python's web framework Django. To develop an e-commerce website, it is necessary to study and understand many technologies. Scope: The scope of the project will be limited to some functions of the e-commerce website.
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.
JavaScript. Thanks to its dynamic capability and versatility, JavaScript has become the most popular and best programming language for eCommerce sites. The main peculiarity of this language is that it's supported by most web browsers. JavaScript can be used for both back end and front end eCommerce development
How to Build an E-commerce Website with Django and Python
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Setup and project configuration
⌨️ (0:16:55) Adding items to a cart
⌨️ (0:54:09) Improving the UI
⌨️ (1:10:34) Creating an order summary
⌨️ (1:38:03) The checkout process
⌨️ (2:10:46) Handling payments with Stripe
⌨️ (2:37:33) Discount codes
⌨️ (3:07:41) Managing refunds
⌨️ (3:31:31) Default addresses
⌨️ (4:12:30) Saving credit card information
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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map
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No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas.
By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities.
Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly.
Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.
Robust frameworks
Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions.
Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events.
Simple to read and compose
Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building.
The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties.
Utilized by the best
Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player.
Massive community support
Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions.
Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking.
Progressive applications
Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.
The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.
Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential.
The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.
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