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KALYAN KUMAR NAIK
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```pythondef list_favorite_tools(): tools = [ { "name": "GitLab", "description": "A web-based DevOps lifecycle tool that provides a Git-repository manager, issue tracking, code review, and a CI/CD pipeline, among other features." }, { "name": "Netdata", "description": "A real-time, performance and health monitoring solution for systems and applications." }, { "name": "Jupyter Notebook", "description": "An open-source web application that allows you to create and share documents that contain live code, visualizations, and narrative text." }, { "name": "Grafana", "description": "An open-source data visualization and monitoring tool that allows you to query, visualize, alert on, and explore your metrics." }, { "name": "Visual Studio Code", "description": "A free, open-source, and highly customizable code editor developed by Microsoft, with support for a wide range of programming languages and integrated development environment (IDE) features." }, { "name": "Ansible", "description": "An open-source software provisioning, configuration management, and application-deployment tool that enables infrastructure as code." }, { "name": "Docker", "description": "An open-source platform for building, deploying, and managing containerized applications." }, { "name": "Prometheus", "description": "An open-source monitoring and alerting toolkit for cloud-native applications." }, { "name": "Kubernetes", "description": "An open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications." }, { "name": "Zabbix", "description": "An open-source monitoring solution for networks and applications that provides real-time monitoring and alerting." } ] for tool in tools: print(f"1. {tool['name']}: {tool['description']}")if __name__ == "__main__": list_favorite_tools()```This Python program defines a function called `list_favorite_tools()` that contains a list of dictionaries, each representing one of my top 10 favorite tools from Toolhub. The function then iterates through the list and prints out the name and description of each tool.To run the program, simply execute the script in your Python environment. The output will be a list of my top 10 favorite tools with their descriptions.
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