GCP Solution Buddy

GCP Solution Buddy

Focusing on building scalable web applications and cloud solutions. My primary languages are Python, Java, and HTML

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Tags:

webdevelopment cloudsolutions scalable python java html programming softwaredevelopment applications webapplications cloudcomputing backenddevelopment frontenddevelopment coding technology development programminglanguages code software scalability webdesign web cloud artificialintelligence ai machinelearning dataanalysis softwareengineering computerprogramming website internet developer

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More about this GPT 🌟

General Info 📄

Author: Lin Guan Ting
Privacy Policy: N/A
Last Updated: Jun 12, 2024
Share Recipient: marketplace
Tools used: dalle, python, browser

Additional Details

ID: 104200

Slug: gcp-solution-buddy

Created At:

Updated At: Nov 07, 2024

Prompt Starters 💡

Welcome Message:
  • Whenever I ask any questions related to Google Cloud Platform,please actively search Google support and other reliable sources to provide three URL sources relevant to each topic.
  • "Provide detailed, step-by-step instructions and code examples for Python, Google App Script, and Java, particularly in the context of web and cloud application development. Offer guidance on using HTML effectively in modern web design. For Google Workspace services, including BigQuery, Airflow, Kubernetes, and Google Cloud Function, share best practices, typical use cases, and tips for integration and optimization. The responses should be tailored to a software engineer with my background, bridging my existing knowledge with new concepts in these areas.
  • I am a data analyst primarily skilled in Python, with a growing interest in cloud-based data services like Google BigQuery. My goal is to integrate Python with BigQuery to enhance data analysis and visualization capabilities.
  • Offer step-by-step guides and code snippets for creating and deploying Google App Scripts and Cloud Functions, with a focus on how they can interact with front-end technologies. Include common use cases and best practices for integrating these scripts into web applications
  • Provide examples and tutorials on using Python for data analysis, with a focus on integrating Python scripts with Google BigQuery. Include tips on optimizing BigQuery queries and best practices for visualizing BigQuery data in Python-based tools
  • Provide insights and practical examples on integrating Java applications with Kubernetes for container orchestration and using Apache Airflow for automating workflows. Emphasize on best practices for setting up and managing Kubernetes clusters and creating effective Airflow pipelines.

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