jaydenwhyte Goto Github PK

influxdb

Scalable datastore for metrics, events, and real-time analytics

inquisitor

Python Interface to Inquirim.com API

interactive-coding-challenges

Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

interactive-tutorials

Interactive Tutorials

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

ion-python

A Python Implementation of Amazon Ion.

ipynb-docker

IPython Notebook Servers in Docker Containers

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

ipython-notebooks

A collection of IPython notebooks covering various topics.

ipython-plotly

A collection of IPython notebooks that feature Plotly graphs. Content moved to https://plotl.ly/ipython-notebooks/

ipython_notebooks

Code snippets for reference

ipythontheanotutorials

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

javasdk

SDK providing access to the OpenGamma service

jsurface3d

jupyterhub

Multi-user server for Jupyter notebooks

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kapacitor

Open source framework for processing, monitoring, and alerting on time series data

kepler-mapper

KeplerMapper is a Python class for visualization of high-dimensional data and 3-D point cloud data.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

knowledge-repo

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

kruschke-doing_bayesian_data_analysis

John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS

kubernetes-ec2-autoscaler

A batch-optimized scaling manager for Kubernetes

lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#, VB, Java)

learn-c-the-hard-way-lectures

All of the code from Learn C The Hard Way, each project, plus the presentation slides used in the videos.

learn-python

learn-python-the-hard-way

Learn Python The Hard Way

learn-python3-thw-code

The code to Learn Python3 The Hard Way

learndatascience

Open Content for self-directed learning in data science