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python-for-finance

Python for Finance module for Imperial MSc in Mathematics and Finance

Lecturers: Jack Jacquier (), Aitor Muguruza ()

Each week will focus on one particular topic with

  • One full IPython notebook
  • One assignment

This is a non-assessed module, compulsory for the students of the MSc in Mathematics and Finance, Imperial College London. The sessions will take place on Fridays, 3pm - 5pm UK time, in person in Clore Lecture Theatre. A link to join the sessions will be posted on the Teams Channel of the module and on Blackboard. The preliminary programme is as follows:

  • Session 1: Fundamentals of Python
  • Session 2: Mathematical Finance in Python
  • Session 3: Importing data and visualisation tools
  • Session 4: Object-Oriented Programming
  • Session 5: Introduction to Pandas for data
  • Session 6: Functional Programming
  • Session 7: Introduction to Cython
  • Session 8: Multi-processing and sympy
  • Session 9: xlwings; dealing with large datasets

Detailed web scraping tutorials for dummies with financial data crawlers on Reddit WallStreetBets, CME (both options and futures), US Treasury, CFTC, LME, MacroTrends, SHFE and alternative data crawlers on Tomtom, BBC, Wall Street Journal, Al Jazeera, Reuters, Financial Times, Bloomberg, CNN, Fortune, The Economist

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