Hello and welcome to a Python for Finance tutorial series. In this series, we're going to run through the basics of importing financial (stock) data into Python using the Pandas framework. From here, we'll manipulate the data and attempt to come up with some sort of system for investing in companies, apply some machine learning, even some deep learning, and then learn how to back-test a strategy. I assume you know the fundamentals of Python. If you're not sure if that's you, click the fundamentals link, look at some of the topics in the series, and make a judgement call. If at any point you are stuck in this series or confused on a topic or concept, feel free to ask for help and I will do my best to help.
Required Modules to start:
Numpy
Matplotlib
Pandas
Pandas-datareader
BeautifulSoup4
scikit-learn / sklearn
https://pythonprogramming.net/getting-stock-prices-python-programming-for-finance/