HangukQuant Research

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HangukQuant Research
HangukQuant Research
Resources for Quant Dev (important announcements) Python for Quants''1

Resources for Quant Dev (important announcements) Python for Quants''1

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HangukQuant
Feb 06, 2025
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HangukQuant Research
HangukQuant Research
Resources for Quant Dev (important announcements) Python for Quants''1
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Before we go into the resources, for 1 week (until Valentines) we are doing discounted access for our quant library for trading and learning:

quantpylib: (50% off, $182)

https://hangukquant.thinkific.com/courses/quantpylib

and Funding Arbitrage lectures: ($300 off, $850)

https://hangukquant.thinkific.com/courses/qt410

Additionally, for each sale of the above items during this period, we will be allocating 50-USD to the bounty program to reward contributors to quantpylib:

Announcing the Bounty Program

Announcing the Bounty Program

HangukQuant
·
Jan 29
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HangukQuant Community Github Repo

HangukQuant Community Github Repo

HangukQuant
·
November 24, 2023
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In the last post, we released 100+ pages of notes on efficient python programming:

Efficient Python (100+ Pages of Notes)

Efficient Python (100+ Pages of Notes)

HangukQuant
·
Feb 1
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We will evolve this work with new updates, examples and case studies of writing Python for quants. Although we intend these notes to be self contained, we would first like to give a useful reading list for those who would like to go in-depth on their own.

I have included C/C++ material as understanding the behavior of low(er) level language implementations is crucial to appreciate the abstractions that the Python language abstracts away from the developer.

Only then would there be a good appreciation of what can be done to bring back performance optimizations into a high level language.

C/C++ Programming

The C Programming Language

C Programming

Ultimate C++ series

Cython

Cython: A Guide for Python Programmers

Python

High Performance Python

Python Concurrency with asyncio

The rest of the reading material is on my reading list, but I have not completed them yet - so I cannot give assured recommendation:

Numerical Python, Scientific Computing and Data Science Applications

Python High Performance

See you in the next post.

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