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A FASTER NumPy Needed

How much can we still speed up on NumPy?

Posted on October 4, 2023

Most quant libraries stand on the shoulders of giants, NumPy. Is it still possible to enhance the performance of NumPy components within these libraries? [Read More]
Tags:
- numpy
- quant
- quantdev
- finance
- gpu
- cython
Can we build a factor pricing model at the enterprise level? (2)

Unleashing the Power of Factor Pricing Models with Statistical Models

Posted on July 24, 2023

Since my previous post about factor models, I have embarked on creating a new package named factor-pricing-model-risk-model. The aim of this open-source project is to generate factor models from specified market data. To better understand the technical aspects and explore the possibilities, I delved into several existing libraries. Now, I’d... [Read More]
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Why Every (Quant) Developer Should Learn Hugging Face 🤗

Posted on April 25, 2023

Why should every (Quant) developer learn Hugging Face? Not because every developer must learn ML / AI / NLP / LLM (though they should learn why AI may replace some of their jobs in the future). Not because we should learn Hugging Face to automate our jobs (though I believe... [Read More]
Tags:
- softwaredevelopment
- ai
- ml
- llm
- huggingface
- nlp
The 3 emerging trends in CPython

Which proposals should Python developers keep an eye on in 2023?

Posted on March 1, 2023

Since its first appearance 30 years ago, Python has evolved into a widely adapted language. One of the greatest contributors to its success is CPython governance - its committee reacts swiftly to community requests. Great feature enhancements can be rapidly released in the next version of CPython. (Of course CPython... [Read More]
Tags:
- python
- cpython
When do we need Pydantic?

Pydantic is so great to use, but is it always necessary?

Posted on February 1, 2023

Data class was introduced to Python 3.7 (PEP 557) to describe a data object with typed attributes. [Read More]
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