Python_Language
所属分类：Python编程
开发工具：Python
文件大小：0KB
下载次数：0
上传日期：2023-11-30 18:34:43
上 传 者：
sh-1993
说明： 该存储库专用于存储用Python编程语言编写的项目、示例和源代码。在这些数字中...
(This repository is dedicated to storing projects, examples, and source code written in the Python programming language. Within these digital confines, you ll encounter a diverse collection of Python programs, spanning various applications and topics. From beginner-friendly projects to more advanced examples, this repository serves as an open resour)
文件列表:
Cryptography/ (0, 2023-11-30)
Cryptography/Polyalphabetic_Substitution/ (0, 2023-11-30)
Cryptography/Polyalphabetic_Substitution/Polyalphabetic_Substitution_001.py (1357, 2023-11-30)
Cryptography/Polyalphabetic_Substitution/Polyalphabetic_Substitution_002.py (1411, 2023-11-30)
Cryptography/Rivest_Shamir_Adleman/ (0, 2023-11-30)
Cryptography/Rivest_Shamir_Adleman/Rivest_Shamir_Adleman.py (771, 2023-11-30)
Cryptography/Simple_Replacement/ (0, 2023-11-30)
Cryptography/Simple_Replacement/Simple_Substitution.py (1089, 2023-11-30)
Cryptography/Transposition/ (0, 2023-11-30)
Cryptography/Transposition/Transposition.py (972, 2023-11-30)
Image_Processing/ (0, 2023-11-30)
Image_Processing/Artistic_Enhancement/ (0, 2023-11-30)
Image_Processing/Artistic_Enhancement/Sepia_Filter/ (0, 2023-11-30)
Image_Processing/Artistic_Enhancement/Sepia_Filter/Image.jpg (123302, 2023-11-30)
Image_Processing/Artistic_Enhancement/Sepia_Filter/Sepia_Filter.py (1017, 2023-11-30)
Image_Processing/Artistic_Enhancement/Sketch_Filter/ (0, 2023-11-30)
Image_Processing/Artistic_Enhancement/Sketch_Filter/Image.jpg (123302, 2023-11-30)
Image_Processing/Artistic_Enhancement/Sketch_Filter/Sketch_Filter.py (1248, 2023-11-30)
Image_Processing/Color_Processing/ (0, 2023-11-30)
Image_Processing/Color_Processing/Chanel_Inverse/ (0, 2023-11-30)
Image_Processing/Color_Processing/Chanel_Inverse/Image.jpg (48218, 2023-11-30)
Image_Processing/Color_Processing/Chanel_Inverse/Inverse_Channel.py (394, 2023-11-30)
Image_Processing/Color_Processing/Chanel_Separation/ (0, 2023-11-30)
Image_Processing/Color_Processing/Chanel_Separation/Chanel_Separation_Filter.py (355, 2023-11-30)
Image_Processing/Color_Processing/Chanel_Separation/Image.jpg (48218, 2023-11-30)
Image_Processing/Color_Processing/Color_Inverse/ (0, 2023-11-30)
Image_Processing/Color_Processing/Color_Inverse/Image.jpg (48218, 2023-11-30)
Image_Processing/Color_Processing/Color_Inverse/Inversion_Color.py (600, 2023-11-30)
Image_Processing/Color_Processing/RGB2LAB*/ (0, 2023-11-30)
Image_Processing/Color_Processing/RGB2LAB*/Image.jpg (48218, 2023-11-30)
Image_Processing/Color_Processing/RGB2LAB*/RGB2LAB*.py (1602, 2023-11-30)
Image_Processing/Color_Processing/RGB2LCH/ (0, 2023-11-30)
Image_Processing/Color_Processing/RGB2LCH/Image.jpg (48218, 2023-11-30)
Image_Processing/Color_Processing/RGB2LCH/RGB2LCH.py (1562, 2023-11-30)
Image_Processing/Color_Processing/RGB2Weighted_Grayscale/ (0, 2023-11-30)
... ...
# **Python Language**
This repository contains a collection of Python code snippets aimed at applications in Computer Science. The code covers various topics and can be used as learning resources, references, or to solve specific problems related to Computer Science.
## Repository Structure
The repository is organized into subdirectories, each corresponding to a specific category of code. Below is an overview of the available categories:
- `Algorithms`: Implementations of classic and advanced algorithms, such as sorting, searching, graphs, optimization, among others.
- `Data-Structures`: Implementations of data structures like lists, stacks, queues, trees, graphs, and more.
- `Image-Processing`: Code related to image processing, including manipulation, analysis, filtering, and computer vision.
- `Machine-Learning`: Examples of machine learning algorithms and techniques, including popular libraries like scikit-learn and TensorFlow.
- `Neural-Networks`: Implementations of artificial neural networks and examples of deep learning applications.
- `Cryptography`: Code related to cryptography and information security, including classical and modern cryptography algorithms.
- `Graphical-Interfaces`: Examples of creating graphical user interfaces (GUI) using libraries like tkinter and PyQT.
- `Web`: Examples of web development in Python, including frameworks like Flask and Django.
- `General-Examples`: Miscellaneous code that doesn't fit into the previous categories but is useful for demonstration and learning purposes.
## Requirements
- Python 3.x: Most of the code is compatible with Python 3. Make sure you have Python installed in your environment.
- Python Libraries: Some code may require the installation of specific libraries. You can check the requirements in each subdirectory.
## How to Use
1. Clone this repository:
```
git clone https://github.com/NullCipherr/Python_Language.git
```
2. Navigate to the directory of the desired code category.
3. Run the Python code using the appropriate interpreter:
```
python3 filename.py
```
4. Follow the instructions or comments in the code to understand how it works and adapt it as needed.
## Contribution
Contributions are welcome! If you want to add new code, make improvements, or fix bugs, follow these steps:
1. Fork this repository.
2. Create a branch for your new feature (`git checkout -b my-new-feature`).
3. Commit your changes (`git commit -am 'Added a new feature'`).
4. Push to the branch (`git push origin my-new-feature`).
5. Create a new pull request explaining your changes.
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