Data Cleaner
Data Cleaner 🧹 is a Python package created to simplify cleaning data frames from DoL Performance Data. As an international student juggling campus jobs, adjusting to a new culture, and pushing through a master’s program, life can get super busy. 🏫🌍
That’s why I built this package—to help others save time ⏳ and focus on what really matters: landing that dream job 🎯. With this tool, you can easily type in the job you’re aiming for and get a detailed comparison of companies, roles, and locations that match your needs.
At the heart of it 💙, this package is all about cutting down the hours spent cleaning through massive datasets so you can focus on making informed, life-changing decisions 🔑 for your future! 🚀 PS: Experienced folks can work their way too because H1b's are issued to everyone.
Installation
You can install the package using pip:
pip install h1b-processor
from clean_h1b import data_cleaner
# Create an instance of data_cleaner
processor = data_cleaner(keywords = 'data')
# Process the DataFrame
processed_df = processor.process()
# Display the processed DataFrame
print(processed_df)
#if you want csv, then:
processed_df.to_csv('outputfile.csv')
# Display the processed DataFrame
print(processed_df) #optional
Some examples are:
Physician:
Attorney:
Software Engineer:
Financial Analyst:
Psychologist:
Experienced Folks, listen up 📢 🏫 🌍
Looking at becoming Partner? :
Metadata
Release files for h1b-processor 1.73
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| h1b_processor-1.73.tar.gz | 4.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| h1b_processor-1.73-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.5 kB
Release files / h1b_processor-1.73.tar.gz
| Download URL | h1b_processor-1.73.tar.gz |
|---|---|
| Size | 4.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
119072c8b363fc00fb8f27025ffb0bf5bf616a4c33266cdb7a2e7484ce163dc9
|
|
BLAKE2b-256 checksum How to use checksums |
388ecc3b0f53b47d0ea239550b051e87db26e2f3022be1ca94048ce73ea7ebaf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.7
|
Release files / h1b_processor-1.73-py3-none-any.whl
| Download URL | h1b_processor-1.73-py3-none-any.whl |
|---|---|
| Size | 4.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a89f1e10699b3d71b0da5de47376eb78afe6151fe4556e4a0440f04ec23e2805
|
|
BLAKE2b-256 checksum How to use checksums |
1619d65c41e746abfc71ad1547d1f5cefe25e064b264f53aff97dd62a87e82f7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.7
|
Security for h1b-processor 1.73
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.