[python-events] Quants Hub

[M.-A. Lemburg]

Hi Neil,

the Python calendars we have are not meant to list trainings or
courses.

Thanks,
-- 
Marc-Andre Lemburg
Director
Python Software Foundation
http://www.python.org/psf/

On 17.07.2014 11:36, WBS Training (Neil) wrote:
> Hi Python.org,
> 
> Can I please submit a Python course please? I have no idea of the size of the training course numbers at present.
> 
> Kind regards
> 
> Neil
> 
> Python for Finance with Yves J. Hilpisch: The Python Quants
> 
> Start Date: Week Commencing 13th October 2014
> Location: Globally online
> Early Bird Discount: 20% Before Friday 29th August!
> 
> Course Outline:
> [X]
> Take the 10 week online course: Python for Finance with Yves J. Hilpisch
> Each lecture will appear in your members area weekly, and all webinar invites will be sent directly. You can also contact Yves at any time with the F# forum. We can offer additional Webinars to candidates who live in different time zones.
> [X]
> Quants Hub Programming School 10 Week Format:
> [X]
> Week 1, Lecture 1. Introduction to Python and Tools
> IPython Notebook as the central tool
> Python installation and libraries
> First interactive coding steps
> Fundamentals of Python coding
> Basics of Python classes
> Unit testing and selected best practices
> 
> Introductory Financial Use Cases
> Implied Volatilities
> Monte Carlo Simulation
> Technical Stock Analysis
> 
> Week 2, Lecture 2. Data Types and Structures
> Basic data types
> Basic data structures
> NumPy data structures
> Vectorization of code
> 
> Data Visualization
> Two-dimensional plotting
> Financial plots
> 3d plotting
> 
> Week 3, Lecture 3. Financial Time Series
> pandas basics
> Financial data
> Regression analysis
> High frequency data
> 
> Week 4, Practical Exercise & Webinar Week: This will cover the first 3 weeks of the course. The practical exercise will be marked and feedback given.
> 
> Week 5, Lecture 4. Input-Output Operations
> Basic I/O with Python
> I/O with pandas
> Fast I/O with PyTables
> 
> Week 6, Lecture 5. Performance Python
> Python paradigms and performance
> Parallel computing
> Dynamic compiling
> Static compiling
> Random numbers on the GPU
> 
> Week 7, Lecture 6.Mathematical Tools
> Approximation
> Convex optimization
> Integration
> Symbolic computation
> 
> Week 8, Practical Exercise & Webinar Week: This will cover weeks 5-7 of the course. The practical exercise will be marked and feedback given.
> 
> Week 9, Revision week.
> 
> Week 10, Final Practical Project week.
> 
> The final project will be marked with feedback and a pass or fail will given. One retake is allowed if you fail.
> 
> URL: http://quantshub.com/content/python-finance-yves-j-hilpisch
> 
> 
> 
> 
> 
> 
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