XGBoost Python Feature Walkthrough
====
* [Basic walkthrough of wrappers](guide-python/basic.py) 
* [Cutomize loss function, and evaluation metric](guide-python/custom_objective.py)
* [Boosting from existing prediction](guide-python/boost_from_prediction.py)
* [Predicting using first n trees](guide-python/predict_first_ntree.py)