Apparata: A Python Script for Generating Realistic Data
Apparata is a Python script that can be used to generate realistic data for a variety of purposes, such as testing, prototyping, and machine learning. It is primarily a wrapper for some functions from the faker library, which provides a wide range of data generation options. However, this script has additional capabilities that Faker does not provide. Apparata can generate a wide range of data types, including:
- Integers
- Floats
- First names
- Last names
- Addresses
- Phone numbers
- Datetimes
- Emails
- Latitudes and longitudes
How to Install Apparata
pip install apparata
How to Use Apparata
To use Apparata, simply import the script into your Python program and call the desired function. For example, to generate a random number with 10 digits, you would use the following code:
import apparata
number = apparata.generate_numbers(10)
Metadata
Release files for apparata 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| apparata-0.1.2.tar.gz | 2.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| apparata-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.7 kB
Release files / apparata-0.1.2.tar.gz
| Download URL | apparata-0.1.2.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
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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/3.9.19
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Release files / apparata-0.1.2-py3-none-any.whl
| Download URL | apparata-0.1.2-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
|