Ecommerce Payment Optimizer
Payment Optimizer is a Python package designed to optimize the payment process of e-commerce websites doing A/B testing.
Payment Optimizer
Payment Optimizer is a Python package designed to optimize the payment process of e-commerce websites.
Installation
You can install Payment Optimizer using pip:
pip install payment-optimizer
Usage
To use Payment Optimizer, import the necessary modules and functions in your Python code:
from payment_optimizer import optimize_payment
# Use the optimize_payment function
result = optimize_payment(order)
Needed Inputs
The data should have the following form:
Features
- Payment Optimization: Streamline the payment process to improve efficiency.
- Data Analysis: Analyze transaction data to identify patterns and optimize payment methods.
- A/B Testing: Conduct A/B tests to compare the performance of different payment methods.
Documentation
For detailed documentation and usage examples, refer to the official documentation.
License
Payment Optimizer is distributed under the MIT License.
Release files for new2 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| new2-1.0.0.tar.gz | 16.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| new2-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.5 kB
Release files / new2-1.0.0.tar.gz
| Download URL | new2-1.0.0.tar.gz |
|---|---|
| Size | 16.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.0
|
Release files / new2-1.0.0-py3-none-any.whl
| Download URL | new2-1.0.0-py3-none-any.whl |
|---|---|
| Size | 17.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.0
|