https://github.com/yhilpisch/py4fi2nd
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
https://github.com/yhilpisch/py4fi2nd
Last synced: about 1 year ago
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Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
- Host: GitHub
- URL: https://github.com/yhilpisch/py4fi2nd
- Owner: yhilpisch
- License: other
- Created: 2018-12-01T12:14:05.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-10-15T06:36:56.000Z (over 2 years ago)
- Last Synced: 2025-04-15T03:54:46.595Z (about 1 year ago)
- Language: Jupyter Notebook
- Homepage: http://home.tpq.io/books/py4fi
- Size: 44.1 MB
- Stars: 1,618
- Watchers: 74
- Forks: 775
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
- awesome-quant - py4fi2nd - Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch. (Reproducing Works, Training & Books / Data Visualization)
- awesome-quant - py4fi2nd - 书中代码与Jupyter笔记本，涵盖衍生品定价、组合优化。 (量化学习与实践资源 / 经典书籍与代码实现)
README
# Python for Finance (2nd ed., O'Reilly)
This repository provides all Python codes and Jupyter Notebooks of the book _Python for Finance -- Mastering Data-Driven Finance_ (2nd edition) by Yves Hilpisch.
Visit the book page of O'Reilly under http://bit.ly/python-finance-2e or order the book under https://www.amazon.com/Python-Finance-Mastering-Data-Driven/dp/1492024333/.
The codes of the book are based on Python 3.7. The codes presented in this Github repository are tested for Python 3.6 since at the time of creating it, `TensorFlow` was not yet compatible with Python 3.7. Once this has happened, appropriate changes (e.g. to the `conda` `yaml` file, see below) will be made.
## Python Packages
There is a `yaml` file for the installation of required Python packages in the repository. This is to be used with the `conda` package manager (see https://conda.io/docs/user-guide/tasks/manage-environments.html). If you do not have Miniconda or Anaconda installed, we recommend to install **Miniconda 3.7** first (see https://conda.io/miniconda.html).
After you have cloned the repository, do on the shell (currently works on Mac OS):
cd py4fi2nd
conda env create -f py4fi2nd.yml
source activate py4fi2nd
jupyter notebook
Then you can navigate to the Jupyter Notebook files and get started.
## Quant Platform
You can immediately use all codes and Jupyter Notebooks by registering on the Quant Platform under http://py4fi.pqp.io.
## Python for Finance Training & University Certificate
Check out our **Python for Finance & Algorithmic Trading online trainings** under http://training.tpq.io.
Check out also our **University Certificate Program in Python for Algorithmic Trading** under http://certificate.tpq.io.
## Company Information
© Dr. Yves J. Hilpisch \| The Python Quants GmbH
The Quant Platform (http://pqp.io) and all codes/Jupyter notebooks come with no representations or warranties, to the extent permitted by applicable law.
http://tpq.io \| pff@tpq.io \|
http://twitter.com/dyjh
**Quant Platform** \| http://pqp.io
**Derivatives Analytics with Python (Wiley Finance)** \|
http://dawp.tpq.io
**Python for Finance (O'Reilly)** \|
http://pff.tpq.io
**Python for Finance Online Training** \|
http://training.tpq.io
**University Certificate in Python for Algorithmic Trading** \|
http://certificate.tpq.io