Thank you very much for the whole series of doing that. I am still early in my learning path with Python, but this is certainly very helpful. Keep going!
Thanks for introducing me to that API and showing me some useful data retrieval and presentation ideas. More financial analysis videos would be neat :D. Thanks so much!!! I'm thinking I'd do this in a jupyter notebook for maximum aesthetics :D
Hi somewhere in this video you mentioned that we van analyse balance sheet of a bunch of companies to make comparison and select companies based on the criteria for instance you said S&P 500 so how we can do it in python. thanks
Excellent video. I would have liked to know the exact years for the data. For example, at end of video you displayed a graph of quarterly data. But for what year?
Fantastic videos. Is there one on web scrapping sec filings for specific info like the total reserves or cost per oz of a junior gold company. You have opened up so much by showing how versitile python can be. thanks so very much.
Hallo. Wie macht man es wenn man beispielsweise 1000 Firmen analysieren will und will wissen welche von diesen Firmen in den letzten 10 Jahren ihren Umsatz stetig und kontinuierlich jedes Jahr gesteigert haben? Kannst du mir da bitte weiterhelfen?
Very cool tutorial! Since it is a requested thing but nobody really makes good videos about that, (if you want) could you make tutorials for Lua and roblox games? Keep up the great work
Thank you very much for the whole series of doing that. I am still early in my learning path with Python, but this is certainly very helpful. Keep going!
Thanks for introducing me to that API and showing me some useful data retrieval and presentation ideas. More financial analysis videos would be neat :D. Thanks so much!!! I'm thinking I'd do this in a jupyter notebook for maximum aesthetics :D
Thank you very much, as I'm coming from financial background it is super useful
Wonderful video. Thanks. Learnt a lot.
Hi somewhere in this video you mentioned that we van analyse balance sheet of a bunch of companies to make comparison and select companies based on the criteria for instance you said S&P 500 so how we can do it in python. thanks
Excellent video. I would have liked to know the exact years for the data. For example, at end of video you displayed a graph of quarterly data. But for what year?
At 12:35, what shortcut did he use to remove all the text inside only the double quotes?
Edit: again at 12:45
Vim Shortcut -> ci" (change inner ")
@@NeuralNine is it not [ctrl] + [backspace] ?
@@NeuralNine Oh... its a Vim shortcut. Is there no such alternative available on vs code?
Thank you for making this video .. very useful
Hi, may I know can we use Python to automate financial statements review and casting process?
You can automate just about anything in Python.
Fantastic videos. Is there one on web scrapping sec filings for specific info like the total reserves or cost per oz of a junior gold company.
You have opened up so much by showing how versitile python can be. thanks so very much.
Great thanks!
Hallo. Wie macht man es wenn man beispielsweise 1000 Firmen analysieren will und will wissen welche von diesen Firmen in den letzten 10 Jahren ihren Umsatz stetig und kontinuierlich jedes Jahr gesteigert haben? Kannst du mir da bitte weiterhelfen?
amazing tutorial!!
Thanks dude 😎👍
Very cool tutorial!
Since it is a requested thing but nobody really makes good videos about that, (if you want) could you make tutorials for Lua and roblox games?
Keep up the great work
Second comment... 😜
You are doing awesome bro🔥🔥🔥🔥
U are amazing 🙂🙂
I tried taking the data for 10 years but it doesnt work. It only works for 5 years. Does anyone know how to resolve this??
Facebook salió a la bolsa en 2012, por lo tanto, tiene solo 9 años siendo pública. Esa es la razón por la cual no encuentras datos de más de 9 años.
Amazing!
Bro please make a tutorial of a bot playing shooting games like csgo, pupg etc by training it using machine learning