SQL or Pandas: Choosing the Right Data Analysis Approach.

SQL or Pandas: Choosing the Right Data Analysis Approach.

Eduards Skukis, PhD Eduards Skukis, PhD

Eduards Skukis, PhD

Data Science | Data Analysis

发布日期: 2024年4月10日
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Hello friends!

I want to share some details about my latest project. I faced a limitation on the number of API requests, so I decided to optimize the code to reduce the number of server requests.

In the project, I implemented the option to choose the calculation method: either through SQL queries or using the pandas library. If the user chooses the first option, the program executes two queries: first, it determines the current exchange rate, and then it performs the necessary calculation. The second option is implemented through data merging and calculation using the pandas library.

I am so inspired by the possibilities of code optimization and efficient use of resources provided by Python, and I'm excited about how these skills can be applied to solving real-world problems.

Discussion question: How do you prefer to work with data - by creating a database and writing complex SQL queries or by reading data into DataFrames and working with them in the pandas library?

#Python #DataAnalysis #API #SQL #Pandas #Optimization

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