We have updated this original tutorial series from Dr. Yves Hilpisch (author and founder of The Python Quants) to work with our new LSEG Data Library. These tutorials start slowly and build towards more complex workflows. We hope you find them useful. 

You can find the notebooks for this tutorial on GitHub:

• Symbology
• Data Retrieval
• Cross Asset
• Portfolio Selection
• Vectorised Backtesting
• Machile Learning
• Options Chains
• Text Processing
• News Sentiment
• Options Calibration
• Deep Learning