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Ready to Submit - Python SDK Marketing

All preparation complete! Just execute these 3 submissions.

✅ COMPLETED

  1. ✅ awesome-python PR SUBMITTED!

  2. ✅ Technical Indicators Issue Created

    • Issue #3: #3
    • Removes aspirational features from marketing until implemented

  3. ✅ Python SDK improvements committed and pushed

    • Downloads badge added
    • CODE_OF_CONDUCT.md created
    • Marketing docs created

🚀 DO NOW (10 minutes)

1. ✅ DONE - awesome-python PR #2809 submitted!

Monitor: vinta/awesome-python#2809

2. ✅ DONE - Python Weekly email sent!

Sent via Postmark: 2025-11-25 Message ID: dc8a303c-b14f-442a-9921-8de7f2a1d3c1 To: rahul@pythonweekly.com

Subject:

Submission for Python Weekly: OilPriceAPI Python SDK

Body:

Hi Rahul,

I'd like to submit the OilPriceAPI Python SDK for consideration in Python Weekly:

Project: OilPriceAPI Python SDK
GitHub: https://github.com/oilpriceapi/python-sdk
PyPI: https://pypi.org/project/oilpriceapi/

Official Python SDK for real-time and historical oil & commodity price data with Pandas integration, async support, and CLI tools. Get real-time and historical oil & energy commodity prices for trading and financial analysis.

Key Features:
• Pandas DataFrame integration
• Async/await support
• Smart caching and rate limit handling
• CLI tool for quick exports
• Full type hints

Perfect for energy traders, financial analysts, and data scientists working with commodity prices.

Free tier: 100 requests (lifetime) to get started.

The SDK is production-ready (v1.0.1) and actively maintained.

Thanks for considering!

Best regards,
Karl
OilPriceAPI Team

3. ✅ DONE - PyCoder's Weekly email sent!

Sent via Postmark: 2025-11-25 Message ID: 2f85f78b-4072-4fda-a1e9-8328164eee2d To: editors@pycoders.com

Subject:

Submission: OilPriceAPI Python SDK

Body:

Hi PyCoder's Weekly Team,

I'd like to submit our Python SDK for consideration in an upcoming newsletter:

Project: OilPriceAPI Python SDK
GitHub: https://github.com/oilpriceapi/python-sdk
PyPI: https://pypi.org/project/oilpriceapi/

Official Python SDK for real-time and historical commodity price data. Features:
• Pandas DataFrame integration
• Async/await support
• Smart caching and rate limit handling
• CLI tool for quick exports
• Full type hints and comprehensive documentation

Perfect for energy traders, financial analysts, and data scientists working with commodity prices.

Free tier: 100 requests (lifetime) to get started.

The SDK is production-ready (v1.0.1), actively maintained, and already has users in energy trading and research.

Thanks for considering!

Best regards,
Karl
OilPriceAPI Team

📅 DO THIS WEEK

4. Post on r/Python (Tue-Thu, 9-11am EST)

Visit when ready: https://www.reddit.com/r/Python/submit

Type: Text Post

Title:

[P] OilPriceAPI Python SDK - Real-time commodity prices with Pandas integration

Content:

Hi r/Python!

I've released a Python SDK for OilPriceAPI and wanted to share it with the community.

**What it does:**
Real-time and historical oil & commodity price data with first-class Pandas support.

**Quick example:**
```python
from oilpriceapi import OilPriceAPI

client = OilPriceAPI()
df = client.prices.to_dataframe(
    commodity="BRENT_CRUDE_USD",
    start="2024-01-01"
)
print(df.describe())

Key features: • Pandas DataFrame integration • Async/await for high-performance apps • Smart caching and rate limit handling • CLI tool for quick exports • Full type hints

Links: • PyPI: https://pypi.org/project/oilpriceapi/ • GitHub: https://github.com/oilpriceapi/python-sdk • Docs: https://docs.oilpriceapi.com/sdk/python

Use cases:

  • Financial/trading analysis
  • Energy market research
  • Data science projects
  • Academic research

Free tier includes 100 requests (lifetime). Would love feedback from the community!


**Best time:** Tuesday-Thursday, 9-11am EST

---

### 5. LinkedIn Post

**Post:**

Excited to share the OilPriceAPI Python SDK! 🎉

After months of development, we've launched a Python SDK that makes commodity price data accessible to developers, analysts, and traders.

Key features: ✅ Real-time and historical data ✅ Pandas DataFrame integration ✅ Async support for high-performance apps ✅ CLI tool included ✅ Free tier to get started

Perfect for: • Energy trading firms • Financial analysts • Data scientists • Academic researchers

Check it out on PyPI: https://pypi.org/project/oilpriceapi/

#Python #DataScience #EnergyTrading #FinTech #OpenSource


---

### 6. Twitter/X Post

**Tweet:**

🚀 Launched: OilPriceAPI Python SDK v1.0

Get real-time oil & commodity prices in Python:

pip install oilpriceapi

✅ Pandas integration ✅ Async support ✅ CLI tool ✅ Free tier: 100 requests (lifetime)

PyPI: https://pypi.org/project/oilpriceapi/ Docs: https://docs.oilpriceapi.com/sdk/python

#Python #DataScience #Trading


---

## 📊 TRACKING

After submissions, track:

**PyPI Downloads:**
```bash
curl -s https://pypistats.org/api/packages/oilpriceapi/recent | python3 -m json.tool

GitHub Stats:

Website Analytics:

  • Referrals from pypi.org
  • Signups with utm_source=pypi

✅ CHECKLIST

  • Create awesome-python PR (PR #2809 submitted)
  • Email Python Weekly (SENT via Postmark - Message ID: dc8a303c-b14f-442a-9921-8de7f2a1d3c1)
  • Email PyCoder's Weekly (SENT via Postmark - Message ID: 2f85f78b-4072-4fda-a1e9-8328164eee2d)
  • Wait for Tuesday-Thursday to post on r/Python
  • LinkedIn post
  • Twitter post
  • Monitor awesome-python PR for feedback
  • Respond to any comments promptly

Email Tracking:

Total Time: 15 minutes now + 30 minutes this week = 45 minutes total Expected Impact: 500+ PyPI downloads/month, 50+ GitHub stars, 10+ new customers

Ready? Start with #1 above! 🚀