We didn't experience the expected performance improvements. Locally under
unit test there was aboout an order of magnitude throughput increase, but
when run against the history benchmark, this new approach was 60% slower.
We're reverting this for now to perform further analysis and better
understand the performance profiling of the python history stack.
CustomCharting: did not initialize self.lastprice
QuandFuturesData: algorithm file name and class didn't match
UpdateOrderRegression: did not cast quantity (int) to decimal
UserDefinedUniverse: selector function returns C# List
Some python algorithms suffered corrections to run under the new python framework (pythonnet).
Others were deleted because some features will be supported in futures implementations.
Adds a method in AlgorithmPythonUtil to transform C# DateTime into Python datetime