Access Stock Prices – Python for Finance

Today I practiced Python for Finance on Sololearn! This time I showed how to access stock prices with yfinance. I showed how to filter results within a certain time frame, plot it, and even download prices for multiple stocks simultaneously. Next time I will be reviewing everything we have learned!

Labor Day 2022

Labor Day 2022

Today is a special day to rest. A day to take time and relax and look at all the work that you have done or others have done. While everyone is taking a time off, you can get started on coding. You can finish some projects that you either completely forgot about or just haven’t started. Start new achievements and things that you may have thought you never could do. Don’t wait any longer, start learning how to code today!

Access Company Data – Python for Finance

Today I practiced Python for Finance on Sololearn! This time I continued on the yfinance package to access company data. I showed how to make a function that takes a ticker and outputs its return-on-equity. Next time I will be accessing stock prices!

Using a Package – Python for Finance

Today I practiced Python for Finance on Sololearn! This time I used a package to scrape data from Yahoo Finance. The package I used makes it far easier to scrape data by automatically doing the work I had to do manually. Next time I will be accessing company data with this package!

Scraping Yahoo Finance – Python for Finance

Today I practiced Python for Finance on Sololearn! This time I scraped data from Yahoo Finance. To do this, I showed how to make a request header that Yahoo would validate. Then I used many of the methods from the last video to scrape data. Next time I will be using a package to scrape data without the manual work!

Web Scraping with Pandas – Python for Finance

Today I practiced Python for Finance on Sololearn! This time I used the pandas module to do some basic web scraping. I used pandas to scrape a list of S&P 500 companies from Wikipedia. I also showed how to filter results. Next time I will be scraping data from Yahoo Finance!

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