인프런 - 라이프타임 커리어 플랫폼

Learn about the basics of Python required for data analysis, the data analysis framework (pandas), and the data analysis process.

Leveraging Python's basic syntax and popular libraries Auto-generating Python syntax and library code using ChatGPT

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This course is beneficial for those who wish to learn how to use ChatGPT and acquire basic Python grammar. It's also helpful for individuals looking to learn and consolidate basic Python grammar.

This course is a direct lecture by the author based on the book "Python Quick Start - Python for Work - Ruby Paper (2023/04)". This course is a course to learn the basics and usage of Python, which is known to be easy to learn, so that even non-majors can use programming in real life or work. You will learn Python programming methods through real business cases rather than grammar-centered ones, and you will be able to increase the efficiency and reliability of your work by automating various business processes including HR and finance.

Creating Your Own Data Analysis Portfolio with Free Gemini CLI Vibe Coding: Data Collection, Analysis, Reporting, and Dashboard Automation Even if you are new to data collection, you can collect, analyze, visualize, and create reports and dashboards like a professional data analyst once you master the principles, prompt engineering, and VSCode. From Python data collection to report writing with Gemini CLI and VSCode: Learn prompt engineering and troubleshooting methods for foolproof data collection and analysis.

This is an introductory course on the Python programming language. Rather than a formal and tedious structure of simply printing text and following syntax, this course covers fundamental principles at an appropriate level regarding 'why' and 'how' things work, along with actual programming practice. Additionally, various course materials are provided.

In this course, you will learn how to program kernels and develop PyTorch modules. You can use the knowledge you have gained to develop models faster.

I wanted to briefly cover the basics of Python through Jupyter Notebook, which allows you to immediately check the results of your coding.

How to easily set up git, VS Code, Node.js, Python, Java dev environments on Windows within 2 hours without struggling.