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#python #api #apis #dataset #development #free #list #lists #open_source #public #public_api #public_apis #resources #software

You can use the Public APIs repository to access a wide range of APIs from various domains. Here’s a brief overview of the benefits and key information The repository includes an extensive list of public APIs, making it a treasure trove for developers.
- **Community Curated** Many APIs are provided by APILayer, which offers a simple way to integrate these APIs into your products.

### Key Information
- **API Categories** Specific APIs like IP Stack, Marketstack, Weatherstack, Numverify, Fixer, and others are highlighted for easy access.
- **Community Involvement**: You can contribute to the repository by following the contributing guide, reporting issues, and submitting pull requests.

Using this repository can significantly streamline your development process by providing quick access to a diverse set of APIs.

https://github.com/public-apis/public-apis
#typescript #apis #automated #automation #cli #data_flow #development #docker #integration_framework #integrations #ipaas #low_code #low_code_development_platform #low_code_platform #n8n #no_code #node #self_hosted #typescript #workflow #workflow_automation

n8n is a powerful tool for automating workflows. It allows you to connect different services and apps using over 200 nodes, making it highly versatile. You can customize it with your own functions and logic, and it's open-source, so you can see and modify the code. n8n also offers a cloud version that simplifies setup and maintenance. The benefit to you is that it saves time by automating repetitive tasks, and its flexibility lets you integrate various tools and services easily. You can start using it quickly without installation by running a simple command in your terminal.

https://github.com/n8n-io/n8n
#python #design #design_patterns #design_system #development #interview #interview_practice #interview_questions #programming #python #system #web #web_application #webapp

This guide helps you learn how to design large-scale systems and prepare for system design interviews. Here are the key points The guide provides an organized collection of resources on system design principles, including video lectures, articles, and practice interview questions.
- **Interview Preparation** The guide covers various system design topics like performance vs scalability, latency vs throughput, availability vs consistency (CAP theorem), caching, load balancing, reverse proxies, database design (SQL and NoSQL), and communication protocols (HTTP, TCP, UDP).
- **Tools and Techniques** The guide includes real-world architectures from companies like Google, Facebook, Twitter, and others to help understand how these principles are applied in practice.
- **Contributing**: It encourages contributions to improve and expand the content.

Using this guide, you can become a better engineer by learning how to build scalable systems and prepare effectively for technical interviews.

https://github.com/donnemartin/system-design-primer
#go #dev_env #dev_environment_setup #developer_tools #development_environment #development_environment_manager #hacktoberfest

Daytona is a simple tool that helps you set up a development environment quickly and easily. With just one command, `daytona create`, you can activate a fully configured development environment on any machine, whether it's local, remote, or in the cloud. This saves you a lot of time and effort compared to setting up environments manually, which can take up to 45 minutes and involve many complex steps. Daytona also supports multiple IDEs like VS Code and JetBrains, integrates with various Git providers, and ensures a secure VPN connection. This way, you can focus more on coding and less on setting up your environment.

https://github.com/daytonaio/daytona
#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
#python #agent #ai #automation #data_mining #data_science #development #llm #research

RD-Agent is a tool that helps automate research and development (R&D) tasks. It can read reports, propose new ideas, and implement them using data. This tool acts like a copilot for researchers, automating repetitive tasks or working independently to suggest better solutions. RD-Agent supports various scenarios, such as finance and medical fields, making it easier to streamline model development and data analysis. By using RD-Agent, users can save time and boost productivity in their R&D work.

https://github.com/microsoft/RD-Agent
#python #awesome #awesome_list #collections #development #devops #production #productivity #resources #sre #tools

DevOps is a way of working that combines development and operations teams to deliver software faster and more reliably. It helps organizations improve communication, efficiency, and speed by breaking down barriers between teams. This approach allows for continuous improvement, better collaboration, and faster time-to-market, which benefits users by providing them with updated and reliable software quickly.

https://github.com/wmariuss/awesome-devops
#go #ai_assistant #ai_generated_code #cloud_native #code_generation #custom_templates #developer_tools #development_framework #gin #go_sponge #golang #grpc #grpc_gateway #low_code #microservice #protobuf #restful_api #sponge #web

Sponge is a powerful Go development framework that helps you quickly build backend services like RESTful APIs and microservices with minimal coding. It generates modular Go code automatically by parsing SQL, Protobuf, and JSON files, letting you create complete backend projects through a simple web interface without complex commands. Sponge supports custom templates and integrates AI assistants (like ChatGPT) to help write business logic, greatly speeding up development and reducing repetitive work. It also offers full support for testing, API docs, and deployment, making your project more stable, efficient, and easier to maintain. This saves you time and improves code quality.

https://github.com/go-dev-frame/sponge
#go #dev_tools #development_environment #go #golang #ide #jetbrains #remote_development #terraform #vscode

Coder lets you create and manage cloud-based development environments on your own servers or cloud accounts, using Terraform to define setups like VMs, containers, or Kubernetes pods. It securely connects your workspace via a fast tunnel and automatically shuts down idle environments to save money. You can start coding quickly without waiting days to onboard, and use your favorite IDEs like VS Code or JetBrains with easy integration. This means you get flexible, secure, and cost-efficient development spaces that speed up work, protect your code, and let your team collaborate smoothly from anywhere[1][3][5].

https://github.com/coder/coder