Knowledge Summary

  • Python Parallel and Concurrent Programming

    Parallel and concurrent programming are powerful tools to increase processing throughput and to write faster and efficient applications. Here we’ll summarize the main concepts of parallel and concurrent programming and show how it works in Python.

  • Python Practice

    • Create virual environment for isolation
      > py -m venv your_env_name
      > your_env_name\Scripts\activate
      > deactivate
      
  • Learning Flask

    Flask is a micro web framework, having a core functionality includes WSGI and routing based on Werkzeug and template engine based on Jinja2. In addition, Flask framework has support for cookie and sessions as well as web helpers like JSON, static files etc. And Flask extensions give extensibility to Flask framework to develop a full-fledged web application.

  • Learning CSS

    CSS Syntax

    • Selector { Property:Value; Property:Value }
      • Simple selectors
  • Django Tutorial

    Here summarize Django tutorial link, commonly used commands and some other things to notice.

  • Docker Tutorial

    Docker is an open platform for developing, shipping, and running applications. It enables you to separate your applications from your infrastructure. With Docker, you can manage your infrastructure in the same ways you manage your applicaitons. Here we Introduce how to use docker and show its usage in ML/DL.

  • Large Language Model Useful Links

    • LLM

    • Application

      • Chat
        • ChatGPT
        • Poe: Chat with multiple LLMs. From Quora.
      • Reading
        • scispace: Upload your paper pdfs. Then it can answer your questions about this paper to help you understand the paper.
        • chatpdf: Similar with scispace, it can summarize and answer your questions for the uploaded pdf.

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