You will get Convert Jupyter Notebook to Clean Python Scripts
Project details
Turn your messy Jupyter notebook into a clean, reusable Python script you can drop straight into production.
What you get:
• Working code extracted, dead/experimental cells removed
• Jupyter magics stripped and converted to plain Python
• Embedded images (PNG, JPEG, SVG) decoded and organized into folders
• Docstrings and README for reuse (Standard+)
• Modular package with pytest tests (Advanced)
Why me:
I built notebook-extractor, a Python CLI with 37 tests, specifically for parsing Jupyter notebooks using nbformat. It handles nested functions, multiple output types, and Base64-embedded images.
Across 12 Python projects, I've written 156 automated tests and published 2 libraries on PyPI (9,200+ combined downloads). My code runs through black, flake8, mypy, and pre-commit before delivery.
Certifications: IABAC Certified Data Scientist (Grade A), NASSCOM Certified Data Scientist (Gold), Kaggle Pandas and Data Cleaning.
Send your .ipynb and I'll return structured, linted scripts ready for version control.
What you get:
• Working code extracted, dead/experimental cells removed
• Jupyter magics stripped and converted to plain Python
• Embedded images (PNG, JPEG, SVG) decoded and organized into folders
• Docstrings and README for reuse (Standard+)
• Modular package with pytest tests (Advanced)
Why me:
I built notebook-extractor, a Python CLI with 37 tests, specifically for parsing Jupyter notebooks using nbformat. It handles nested functions, multiple output types, and Base64-embedded images.
Across 12 Python projects, I've written 156 automated tests and published 2 libraries on PyPI (9,200+ combined downloads). My code runs through black, flake8, mypy, and pre-commit before delivery.
Certifications: IABAC Certified Data Scientist (Grade A), NASSCOM Certified Data Scientist (Gold), Kaggle Pandas and Data Cleaning.
Send your .ipynb and I'll return structured, linted scripts ready for version control.
Programming Languages
PythonWhat's included
| Service Tiers |
Starter
$5
|
Standard
$40
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 4 days |
Number of Revisions | 2 | 3 | 3 |
Number of Pages Mined/Scraped | 1 | 2 | 5 |
Number of Sources Mined/Scraped | 1 | 3 | 10 |
Install Script | - | - | - |
Test Script | - | - | |
Task Automation | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $25
Additional Revision
+$5
Test script
(+ 1 Day)
+$20
Additional notebook
(+ 1 Day)
+$10Frequently asked questions
About Dhanesh
Data Scientist | Python Developer | EDA, Data Wrangling & Automation
Bengaluru, India - 8:16 pm local time
I help turn messy PDFs, spreadsheets, notebooks, and web data into clean, validated outputs. My services include data cleaning with pandas, PDF/table extraction to Excel or CSV, EDA and data quality audits, Excel/CSV automation, web scraping, notebook cleanup, and Python bug fixing.
Certified Data Scientist through IABAC and NASSCOM. My ML work includes projects with R2 up to 0.917, recall up to 84.74%, and ROC AUC up to 0.8106.
I also build Python data tools published on PyPI, including AutoCSV Profiler and InsightfulPy, with 8,800+ combined downloads.
Core tools: Python, pandas, NumPy, SQL, scikit-learn, XGBoost, LightGBM, OpenPyXL, pdfplumber, Selenium, BeautifulSoup, Jupyter, and pytest.
I keep the work practical, document what changed, and deliver outputs that are easy to review and reuse.
Tested, documented, production-ready work. Send me your data challenge and lets solve it together.
Steps for completing your project
After purchasing the project, send requirements so Dhanesh can start the project.
Delivery time starts when Dhanesh receives requirements from you.
Dhanesh works on your project following the steps below.
Revisions may occur after the delivery date.
Review notebook and confirm scope
Inspect cells, agree on output structure and what to keep
Extract and clean code
Remove dead cells, strip magics, organize working code