[Renewal] Python Data Analysis for Beginners (Easy! Master the entire process of preprocessing, pandas, and visualization) [Data Analysis/Science Part 1]
This is a course for beginners to master the fundamental techniques of the entire Python data analysis process. As an e-commerce planner and developer currently applying data analysis techniques in the field, I have designed this course to help you easily learn and immediately apply the entire Python data analysis workflow.
[Share] New course open (Fastest full stack: Python Backend FastAPI Bootcamp)
Hello. This is Dave Lee from Janjaemi Coding.
The reason is that we are opening the following new lectures on Infraon and sharing them with you.
Previously, the fastest full-stack roadmap included a lecture explaining the Flask backend framework. Flask is the easiest backend framework to learn with Python, but recently, FastAPI, which has faster performance, has become the trend. In GPTs (making your own GPT), which has recently become popular, there are many examples based on FastAPI when backend functions are needed. It is a framework that is widely used globally. That's why I created the FastAPI lecture.
FastAPI has a similar grammar to Flask, so even if you only lightly learned Flask, you can quickly learn it. The tests are very easy, they run right away, and the performance is especially good. However, there weren't many well-organized materials on the subject. So I organized the lectures by focusing on the most frequently used functions as much as possible, and by going through several stages of the project, I designed the lectures so that you can quickly make the related technology your own .
The existing Flask lecture was designed to help you learn Python intermediate grammar and web technologies, and to build basic backend knowledge. This FastAPI lecture is designed to help you quickly learn FastAPI grammar based on related technologies, so that you can learn related technologies more quickly than before. Therefore, the existing Flask lecture is structured as Full Stack Part 1-1, and this FastAPI lecture is structured as Full Stack Part 1-2.
With FastAPI, you can implement decent backend functions that can support a certain scale even when you need your own simple service or backend functions, even faster. It is a framework that will become a trend in Python as a backend. I have also offered the maximum discount in the hope that it will be more widely known. I hope this lecture will be satisfactory.
If you have any issues while taking the class, please let us know at dream@fun-coding.org and we will address them as quickly as possible.
thank you
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