#java #api_library #java #payment #sdk #wechatpay #wechatpay_apiv3 #weixin #weixin_pay

This Java SDK is designed to help you integrate WeChat Pay APIv3 into your application. Here are the key benefits and how to use it The SDK handles automatic signing and verification of HTTP requests, making it easier to secure your transactions.
- **Business Services** The SDK can automatically update WeChat Pay platform certificates to ensure security.
- **Error Handling** The SDK supports encryption and decryption of sensitive data according to WeChat Pay's rules.

### How to Use
- **Installation**wechatpay-java Set up the configuration with your merchant ID, private key path, merchant serial number, and APIv3 key.
```java
Config config =
new RSAAutoCertificateConfig.Builder()
.merchantId(merchantId)
.privateKeyFromPath(privateKeyPath)
.merchantSerialNumber(merchantSerialNumber)
.apiV3Key(apiV3Key)
.build();
```
- **Making Requests**: Use the configured service to make payment requests, such as prepay for Native Pay.
```java
NativePayService service = new NativePayService.Builder().config(config).build();
PrepayRequest request = new PrepayRequest();
// Set request parameters
PrepayResponse response = service.prepay(request);
```

By using this SDK, you can simplify the integration of WeChat Pay into your application while ensuring security and compliance with WeChat Pay's API rules.

https://github.com/wechatpay-apiv3/wechatpay-java

#python #deep_learning #plate_recognition #pytorch #yolov5

This tool helps you detect and recognize car license plates from images and videos. It supports 12 different types of Chinese license plates, including blue, yellow, new energy, police, and more. You can use it with Python and PyTorch, and it provides demos for testing with images and videos. The benefit is that it makes it easy to automate the process of identifying car license plates accurately, which can be useful for various applications such as traffic management or security systems.

https://github.com/we0091234/Chinese_license_plate_detection_recognition

#python #gpt #gpt_4 #gpt4 #graphrag #llm #llms #rag

GraphRAG is a tool that helps extract useful, structured data from unstructured text using large language models (LLMs). It creates a data pipeline to make sense of your private data. To get started, you can use the Solution Accelerator package, which provides a simple way to use GraphRAG with Azure resources. The benefit to you is that GraphRAG can enhance your LLM's ability to understand and reason about your data, making it easier to extract valuable information from texts. However, be aware that using GraphRAG can be costly, so it's important to read the documentation carefully and start with small tests.

https://github.com/microsoft/graphrag

#python

`aisuite` is a tool that makes it easy for developers to use multiple Generative AI models from different providers like OpenAI, Google, and AWS through a single interface. This means you can compare responses from different AI models without changing your code. To use `aisuite`, you need to install it using `pip` and set up API keys for the providers you want to use. It simplifies the process of testing and comparing AI responses, making your development work more efficient and flexible.

https://github.com/andrewyng/aisuite

#go #cli #docker #docker_image #explorer #inspector #tui

Dive is a tool that helps you analyze and optimize Docker images. It shows you the contents of each layer in the image, indicates what has changed in each layer, and estimates how much space is wasted. You can use it to build and immediately analyze an image with one command. It also integrates with CI pipelines to ensure your images are efficient. Dive supports multiple container engines like Docker and Podman, and it has customizable key bindings and UI settings. This tool helps you make your Docker images smaller and more efficient, saving space and improving performance.

https://github.com/wagoodman/dive

#swift #alamofire #carthage #certificate_pinning #cocoapods #httpurlresponse #networking #parameter_encoding #public_key_pinning #request #response #swift #swift_package_manager #urlrequest #urlsession #xcode

Alamofire is a powerful library for making HTTP requests in Swift. It makes networking easier with its simple and concise syntax. You can write complex requests with features like automatic retry, authentication, and response validation in just a few lines of code. Alamofire supports various platforms including iOS, macOS, tvOS, watchOS, and even Linux and Windows, though with some limitations on the latter. It also integrates well with tools like CocoaPods, Carthage, and the Swift Package Manager for easy installation. Using Alamofire helps you manage network requests efficiently and debug them easily, making your development process faster and more reliable.

https://github.com/Alamofire/Alamofire

#javascript #bugbounty #exploit_development #exploits #fingerprint #hacktoberfest #nuclei #nuclei_checks #nuclei_templates #security #vulnerability_detection

Nuclei Templates are pre-made scripts used by the Nuclei scanner to find security vulnerabilities in applications. These templates are created and shared by a community of users, making it easier for everyone to identify and fix security issues. You can contribute your own templates, report bugs, or request new features, which helps grow the library of available templates. This community-driven approach ensures that the scanner stays updated and effective, benefiting users by providing a robust tool for enhancing application security. You can also join discussions on GitHub or the Discord community to learn more and share ideas.

https://github.com/projectdiscovery/nuclei-templates

#html

This repository helps you build and contribute to the Kubernetes website and documentation. You can run the website locally using Hugo or a container runtime, which ensures consistency with the live site. To get started, you need to install tools like npm, Go, Hugo (Extended version), and a container runtime like Docker. You can then clone the repository, fetch necessary dependencies, and run the website locally. This setup allows you to make changes and see them reflected in real-time in your browser. Contributing to the docs is easy; you can fork the repository, make changes, and submit a pull request for review. This process helps ensure high-quality documentation for Kubernetes users.

https://github.com/kubernetes/website

#go #casaos #docker #golang #home_automation #home_cloud #home_server #iot #raspberry #self_hosted #vuejs

CasaOS is a personal cloud system that helps you manage your data and devices at home. It's designed to be easy to use, even if you're not tech-savvy. Here are the key benefits It reduces the cost of using cloud services by letting you host your own data center at home.
- **Data Control** It supports various hardware like ZimaBoard, Intel NUC, and Raspberry Pi, and can be installed with just one command.
- **User-Friendly Interface** There's a strong community behind it, offering help and sharing ideas through platforms like Discord.

Overall, CasaOS makes it easy to set up and manage your own personal cloud, giving you more control and savings.

https://github.com/IceWhaleTech/CasaOS

#java #jeepay #xxpay

Jeepay is an open-source payment system designed for internet companies. It supports multiple payment channels, including WeChat Pay, Alipay, and Cloud Flash Pay. Here are the key benefits Jeepay makes it simple to integrate various payment services into your system.
- **Security** The system is designed for high concurrency and distributed deployment.
- **User-Friendly** You can deploy the system quickly using a one-click installation script.
- **Extensive Documentation**: There are detailed guides and SDKs available for easy integration.

Overall, Jeepay simplifies the process of adding payment functionalities to your business, making it more convenient and secure.

https://github.com/jeequan/jeepay

#jupyter_notebook #deep_learning #machine_learning #python #pytorch

This course, "深入浅出PyTorch" (Thorough PyTorch), is designed to help you learn PyTorch from basics to advanced levels. It covers everything from installing PyTorch, understanding tensors and automatic differentiation, to building and training models, and even deploying them. The course is divided into several chapters, each focusing on different aspects of PyTorch, such as data loading, model construction, loss functions, optimizers, and visualization.

The benefit to you is that you will gain a comprehensive understanding of PyTorch, which is a powerful tool for deep learning. You will learn through both theoretical explanations and practical exercises, including hands-on projects like fashion classification and fruit classification. This will help you develop your programming skills and ability to solve real-world problems using deep learning algorithms. Additionally, the course includes video tutorials and a community-driven approach to learning, making it easier and more engaging.

https://github.com/datawhalechina/thorough-pytorch

#python

AutoCut is a tool that helps you cut videos using subtitles. Here’s how it works and its benefits
- **Ease of Use** Faster transcription with supported models like `large-v3-turbo`.
- **Flexibility** Edit your subtitles in any Markdown editor, making it easy to select and cut video segments.

Overall, AutoCut simplifies the process of cutting videos by allowing you to work with text files instead of dealing with video editing software.

https://github.com/mli/autocut

#python #backtest #backtesting #broker_trading_platform #quantitative #quantitative_finance #stock #stocks #strategies #strategy

The InStock股票系统 is a powerful tool for stock market analysis and automated trading. Here’s the key information and its benefits
- **Comprehensive Data Analysis** Supports automatic trading with built-in strategies and logs transactions.
- **Efficient Performance** Offers a web-based interface for visualizing results and managing data.
- **Flexibility** Includes features to identify potential buy and sell signals based on technical indicators like MACD, RSI, and KDJ.

Overall, this system is a valuable tool for investors looking to streamline their stock analysis and trading processes.

https://github.com/myhhub/stock

#python #ollama #python

The Ollama Python library makes it easy to use Ollama models in your Python projects. To use it, you need to have Ollama installed and running, and then install the library with `pip install ollama`. You can then use simple code to ask questions or generate text using different models. For example, you can ask "Why is the sky blue?" using a specific model like `llama3.2`. The library also supports streaming responses and asynchronous requests, which can be useful for real-time applications. This makes it beneficial for users who want to integrate AI capabilities into their projects quickly and efficiently.

https://github.com/ollama/ollama-python

#other #cc_by #collection #computer_science #educational #novice

Joining a community for software developers can greatly benefit your career and personal life. You gain access to a wealth of resources, including tutorials, books, and videos on various programming topics such as algorithms, data structures, security, and more. These resources help you improve your skills, stay updated with industry trends, and enhance your problem-solving abilities. Additionally, you can find guidance on career development, resume building, and remote work opportunities. This community support can give you more control over your life and career by providing the tools and knowledge you need to succeed.

https://github.com/mtdvio/every-programmer-should-know

#go #cloud #cloud_management #graph #infrastructure_as_code #terraform

Terraform is a tool that helps you build, change, and manage your computer infrastructure safely and efficiently. It uses a simple code-like language to describe your infrastructure, so you can version and share it like any other code. Terraform shows you a plan of what it will do before making changes, avoids surprises, and works efficiently by managing resources in parallel. This reduces human errors and makes complex changes easier. You can learn more through tutorials and guides on the Terraform website, and even get certified to show off your skills. This helps you manage your infrastructure reliably and efficiently.

https://github.com/hashicorp/terraform

#csharp

Delta is a tool that helps your website load faster and use less server resources. It works by checking if the data on your website has changed since the last time you visited. If nothing has changed, it tells your browser to use the cached version instead of reloading everything from the server. This way, you always get the most current data without overloading the server. It's especially useful when the data doesn't change often.

https://github.com/SimonCropp/Delta

#python #aiops #alarm #alarms #alerting #alerts #monitoring #monitoring_tool #python #python3 #workflow_automation

Keep is an open-source platform for managing alerts and incidents. It offers a single interface to view all your alerts, deduplicates and correlates them, and allows deep integrations with various monitoring tools. You can automate tasks using GitHub Actions and leverage AI for better alert handling. Keep supports many integrations with observability tools, communication platforms, incident management tools, and more. This makes it easier to manage alerts and incidents in one place, reducing complexity and improving efficiency.

https://github.com/keephq/keep

#java

Opik is an open-source platform that helps you evaluate, test, and monitor Large Language Model (LLM) applications. It allows you to track LLM calls, annotate feedback, and automate the evaluation process. You can use Opik to store test cases, run experiments, and integrate with your CI/CD pipeline. It also provides metrics to judge LLM performance, such as hallucination detection and moderation. Opik supports various LLM frameworks and can be installed locally or used via a hosted solution. This tool makes it easier to develop, test, and monitor your LLM applications, ensuring they perform well and accurately.

https://github.com/comet-ml/opik

#c_lang #bpf #capture #command_line #command_line_tool #ebpf #network #sniffer #tcp #tcpdump #tcpdump_like

Kyanos is a powerful tool that helps you analyze network issues easily. It can capture and analyze network requests like HTTP, Redis, and MySQL without the complexity of traditional packet capturing. Here are the key benefits You can filter traffic by process, container, protocol, request size, and latency.
- **Advanced Analysis** It shows detailed latency information from the network card to the kernel socket buffer.
- **Lightweight** Captured requests and responses are shown in plaintext.

This makes troubleshooting network issues much faster and simpler.

https://github.com/hengyoush/kyanos

#typescript #ai #ai_assistant #anthropic #chatbot #chatgpt #claude #developer_tools #development_tools #devtools #gemini #generative_ai #gpt #javascript #js #llm #nodejs #openai #typescript

Repomix is a tool that packs your entire code repository into a single file, making it easy for AI tools like ChatGPT and Claude to understand and analyze your code. It formats your code in a way that AI can process efficiently, provides token counts, and is simple to use with just one command. You can customize what to include or exclude, and it respects your `.gitignore` files. Repomix also includes security checks to prevent sensitive information from being included. To use it, simply install Repomix with `npm install -g repomix` and run `repomix` in your project directory. This helps you get comprehensive code reviews, generate documentation, and more, all while ensuring your code is secure and optimized for AI analysis.

https://github.com/yamadashy/repomix