modelx v0.30.0 is now available🎉 This release introduces a new Macro feature that lets you define and store Python functions directly within your models. Macros are perfect for running and manipulating the model itself. Macros are saved and loaded with your models, making it easier to package Python code for execution alongside model definitions. This feature was implemented and documented almost entirely by GitHub Copilot, demonstrating the power of AI-assisted development! https://lnkd.in/g-sDtWp9 #Python #modelx #AI #GitHubCopilot #OpenSource #QuantitativeFinance #Actuary
About us
lifelib is a collection of life actuarial models written in Python. Find out more about lifelib on https://lifelib.io
- Website
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https://lifelib.io
External link for lifelib
- Industry
- Insurance
- Company size
- 2-10 employees
- Headquarters
- Online
- Type
- Nonprofit
Locations
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Primary
Get directions
Online, GB
Employees at lifelib
Updates
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lifelib was referenced in a recent EY article on open-source platforms and AI in actuarial work: “Open‑source coding platforms plus AI: an actuarial gift or a curse?” The report discusses how Python and AI are shaping actuarial modeling, and includes lifelib among notable open-source projects. https://lnkd.in/geBA-hqG
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A new lifelib download is now available on the lifelib site! It's a ready-to-use Python environment with the latest lifelib and modelx preinstalled. No installation is required; just unzip and start. The package includes Spyder 6 with the improved spyder-modelx plugin, and works with WinPython Command Prompt, Spyder, and Jupyter Notebook. Download it from here: https://lnkd.in/gQcmhZP6
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Building actuarial models is a labor-intensive task. Pioneering actuaries are already exploring ways to auto-generate actuarial models using GenAI: https://lnkd.in/gVyJK4ZJ As ChatGPT suggests, modelx is the perfect tool to turn GenAI-generated Python code into fully functional actuarial models. These models can be exported as pure Python packages composed of standard Python classes. With modelx-cython, they can even be translated into C code, compiled, and run up to 20x faster! #actuary #Python #ChatGPT
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lifelib reposted this
For Pythonic actuaries 1. Write actuarial model in modelx Python package 2. Build model and export to pure Python code 3. Use xlwings RunPython and UDFs to interface Excel and Python 4. Excel becomes the input and output layer with Python as the calculation engine 5. Enjoy a speed increase of 20x or more and readable, version control-able, and automatable calculations. https://modelx.io/ https://www.xlwings.org/
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lifelib 0.11.0 has just been released! It introduces BasicTerm_SC, a new model optimized for Cythonization. BasicTerm_SC can be exported to pure Python then be compiled with Cython using modelx-cython, and runs 8× faster than the pure Python model. Learn more about BasicTerm_SC here: https://lnkd.in/gsJ4Fnb7