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backtrader

Python Backtesting library for trading strategies

codelibrary

Collection of algorithms and data structures

ctci-6th-edition

ctci_v6

Cracking the Coding Interview 6th edition problems

data-science-blogs

A curated list of data science blogs

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

data-science-your-way

Ways of doing Data Science Engineering and Machine Learning in R and Python

deeplearningbook

MIT Deep Learning Book in PDF format

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

full-stack-developer-interview-questions-and-answers

A list of helpful full-stack developer related questions you can use to interview potential candidates, test yourself or completely ignore.

ipython-notebooks

A collection of IPython notebooks covering various topics.

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

learning-spark

Example code from Learning Spark book

learning-spark-1

A practical example of Apache Spark using the StackExchange dataset and GitHub events API

leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

node-sample

qblog

Blog system for quant

scikit-learn-videos

IPython notebooks from the scikit-learn video series

spark-movie-lens

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

spark-r-notebooks

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

spoon-knife

This repo is for demonstration purposes only.

system-design-interview

System design interview for IT company

winerama-recommender-tutorial

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.