# py4fi2nd **Repository Path**: huzhe007/py4fi2nd ## Basic Information - **Project Name**: py4fi2nd - **Description**: Python金融大数据分析 随书代码 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2023-11-13 - **Last Updated**: 2023-11-17 ## 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 conda create --name py4fi2nd python=3.8 conda activate py4fi2nd conda install numpy pandas matplotlib 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.