Скачать или смотреть Intro to Python for Economics and Finance part 4 of 4 | Business Statistics

Python for Economics and Finance Part 4

I learned how to get financial information about stocks from a website using Python. The website provides a JSON object with information about the stock, such as the current price, debt, cash, quarterly earnings, and CEO. I used Pandas to parse the JSON object and create a data frame with the information. I also learned how to convert the scientific notation to a more readable format.

I found this lesson to be very helpful because it showed me how to get up-to-date financial information about stocks. This information can be used to make investment decisions or to analyze the performance of a company. I am excited to use this knowledge in my future work.

Here are some of the key takeaways from the lesson:

The website Financial Modeling Prep provides a JSON object with information about stocks.
Pandas can be used to parse the JSON object and create a data frame with the information.
The scientific notation can be converted to a more readable format using the .astype() method.
This information can be used to make investment decisions or to analyze the performance of a company.