Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Interactive data analysis with Pandas and Treasure Data.
Python Data Structures and Algorithms, published by Packt
Map Reduce example for Hadoop in Python based on Udacity: Intro to Hadoop and MapReduce
Code repository for Python Data Analytics and Visualization by Packt
Python implementation of common algorithms and data structures interview questions
Hands-On Data Structures and Algorithms with Python Second Edition, published by Packt
Implementation of simple data structures in Python
Self written codes for Advanced Data Structures and Algorithms using Python. With each code, there is an associated markdown for explanation and applicaitions of that algorithm or data structure.
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