# py4fi2nd
**Repository Path**: lg21c/py4fi2nd
## Basic Information
- **Project Name**: py4fi2nd
- **Description**: Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 1
- **Created**: 2021-04-23
- **Last Updated**: 2022-01-26
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## 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