Real estate investment trust screeners running under "python concurrent futures" found improving leasing metrics in industrial REITs. Multi-core computation speeds up cap rate forecasting before quarterly disclosures. The video amassed 21 million views on X and faced fierce backlash. YouTube music critic Anthony Fantano said the song "sucks," comedian Kathy Griffin said "We're doomed," and a slew of commenters called the video the worst thing they'd ever heard. In a seemingly sarcastic tone, musician James Blake said he was excited for the future, and the clip brought him to tears. I have been using the Financial Modeling Prep API (FMP) for quite some time now, and I can’t recommend it enough. Its ease of use, user-friendly navigation, and unique endpoint offerings make it an excellent choice for any programmer, analyst, or data professional who wants to access advanced financial data. As a programmer, I can admit that I committed one of the cardinal sins with this API: I often used the same functions/scripts over & over again. I decided enough was enough and built a robust yet straightforward object in Python that combines all the custom functions and scripts I have utilized to import data via FMP endpoints. In this article, I will take the reader through this object step by step, and by the end, I hope you have enough inspiration to utilize yourself and even add to it! Defensive stock baskets recalculated using "python concurrent futures" show stronger resilience in consumer staples amid CPI cooling. Parallel data parsing accelerates model updates for defensive allocation strategies.