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Learning Every Day
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Learning Every Day

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quantgirluk/README.md

Hello world ✨ I'm Dialid

I am a mathematician working as a Quantitative Analyst at an investment bank in London. In my free time, I create open source projects and write about financial mathematics, programming, statistics, data visualisation, and other related topics.

Project Updates:

  • πŸš€ Released v1.0.1 of the aleatory (/ˈeΙͺliΙ™tΙ™ri/) Python library to simulate and visualise stochastic processes. Check out this Gallery to see what you can do with aleatory.
  • πŸ–‹οΈ Released the first part of a Cookbook about Data Visualisation with Plotly and Dash: Plotly-Dash-Cookbook.

Currently, I am:

  • πŸ”­ working as front office quantitative strategist
  • πŸ–₯ coding in Python 🐍 and C++
  • 🧰 still deciding between Pycharm and VSCode as my favourite editor
  • ✨ writing this series of notes about topics in Financial Mathematics: UQF: Understanding Quantitative Finance
  • πŸ–‹οΈ writing a Cookbook about Data Visualisation with Plotly and Dash: Plotly-Dash-Cookbook.
  • πŸ“š reading The Anxious Generation
  • πŸ“Ί not watching anything at the moment but recently watched Disclaimer. If you have a good tv-series, film, or documentary recommendation please let me know!

Please visit my personal site Quant Girl and connect with me via:

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  1. aleatory aleatory Public

    πŸ“¦ Python library for Stochastic Processes Simulation and Visualisation

    Python 173 17

  2. Plolty-Dash-Cookbook Plolty-Dash-Cookbook Public

    πŸ–ΌοΈ Data Visualisation with Plotly Cookbook

    Jupyter Notebook

  3. Yield-Curves-Visual Yield-Curves-Visual Public

    πŸ“ˆA dash app showing Interactive Visualisation of the Yield Curve UK and US

    Python 28 2

  4. Understanding-Quantitative-Finance Understanding-Quantitative-Finance Public

    πŸ“’ A collection of notes exploring Quantitative Finance concepts with Python

    Jupyter Notebook 64 8

  5. ICMM ICMM Public

    πŸ“ Introduction to Monte Carlo methods in Finance Workshop Materials

    Jupyter Notebook 18 2

  6. fanchart fanchart Public

    πŸ“¦ Python library to create Fan Charts as introduced by the Bank of England in 1996

    Python 17 2