sdufeQuant


NamesdufeQuant JSON
Version 1.1.1 PyPI version JSON
download
home_pagehttps://github.com/yanjlee/sdufeQuant
SummaryRQAlpha 从数据获取、算法交易、回测引擎,实盘模拟,实盘交易到数据分析,为程序化交易者提供了全套解决方案。
upload_time2024-06-01 08:23:27
maintainerNone
docs_urlNone
authoryanjlee
requires_pythonNone
licenseNone
keywords
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requirements requests numpy python-dateutil pytz six pytest logbook click jsonpickle simplejson dill XlsxWriter PyYAML tabulate rqrisk pandas pandas bcolz bcolz matplotlib matplotlib ipython ipython line-profiler enum34 fastcache funcsigs backports.tempfile mock
Travis-CI
coveralls test coverage
            
# Web Reverse Engineering Project

## Introduction

This project is dedicated to sharing and teaching the fundamentals and techniques of web reverse engineering. Web reverse engineering involves analyzing how websites and web applications work, and cracking or modifying existing code to achieve specific objectives. This project includes a series of tutorials, practical tools, and case studies aimed at helping developers, security researchers, and enthusiasts understand how to effectively reverse engineer web technologies.

## Features

- **Educational Material**: Provides tutorials on web reverse engineering techniques from beginner to advanced levels.
- **Tools and Resources**: Shares effective reverse engineering tools and resource links.
- **Case Studies**: Delve into actual web reverse cases, analyzing techniques and strategies.

## Installation

To use the resources of this project, you need to set up your development environment first. Below are the basic installation instructions:

```bash
# Clone the repository
git clone https://github.com/yanjlee/reverse_life.git

# Enter the project directory
cd your-repository-name

# Install dependencies (if any)
pip install -r requirements.txt
```

## Usage

This project provides examples and tools for various web reverse engineering techniques. Here is how to use them:

```python
# Example: Using a tool to reverse a website
python reverse_example.py
```

## Contribution

Contributions of any kind are welcome, be it new cases, documentation improvements, or code updates. Please read `CONTRIBUTING.md` for information on how to start contributing.

## License

This project is licensed under the MIT License. For more details, please check the `LICENSE` file.

## Contact

If you have any questions or suggestions, please contact me through Issues or directly via email.

            

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