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The Adam Shilton Podcast

A Framework for Deploying Python in Finance 3 Steps | Ep.064

Mar 4, 2024
Exploring a 3-step framework for deploying Python in finance, focusing on libraries, applications, and workflows. Pro tips include using AI prompts for library suggestions and online platforms like Jupyter notebooks. Discussion on practical applications beyond algorithmic trading and the power of integrating Python with tools like Zapier.
11:15

Podcast summary created with Snipd AI

Quick takeaways

  • Python may not be best if no library available for use case.
  • Matching applications to specific use cases and choosing appropriate platforms are crucial in deploying Python effectively.

Deep dives

Importance of Python in Finance

Python is highlighted as a valuable tool in the finance industry for various tasks, such as data analysis, financial forecasting, and finance automation. The speaker shares personal experiences of using Python for tasks like creating forecasts and automating data formatting. Python's versatility and integration with tools like Excel make it a popular choice, emphasizing its relevance beyond algorithmic trading in the finance sector.

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