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Search results for data science ipython

37 search results found

Ipython ⭐ 16,063

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

Nteract ⭐ 6,111

📘 The interactive computing suite for you! ✨

Dtale ⭐ 4,407

Visualizer for pandas data structures

Hydrogen ⭐ 3,886

:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.

Awesome Jupyter ⭐ 3,764

A curated list of awesome Jupyter projects, libraries and resources

Spark Py Notebooks ⭐ 1,515

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

Cookbook 2nd ⭐ 773

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Ipython Dashboard ⭐ 635

A stand alone, light-weight web server for building, sharing graphs created in ipython. Build for data science, data analysis guys. Aiming at building an interactive visualization, collaborated dashboard, and real-time streaming graph.

Jupyter_pivottablejs ⭐ 600

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

Cookbook 2nd Code ⭐ 532

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Jupyter Notify ⭐ 517

A Jupyter Notebook magic for browser notifications of cell completion

Datasciencecourse ⭐ 515

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

Monitor the stability of a Pandas or Spark dataframe ⚙︎

Thesemicolon ⭐ 312

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Python_for_data_science ⭐ 281

A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.

Interactive_machine_learning ⭐ 132

IPython widgets, interactive plots, interactive machine learning

Spark R Notebooks ⭐ 109

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

Sci Pype ⭐ 96

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Ds For Telco ⭐ 95

Source material for Data Science for Telecom Tutorial at Strata Singapore 2015

Data Science in 30 Minutes

Oscon 2015 ⭐ 81

Code for my OSCON 2015 talk

Notebooks ⭐ 78

A collection of Jupyter/IPython notebooks

Ds Containers ⭐ 77

Containers for data science

Docker Demo Images ⭐ 76

Demo images for use in try.jupyter.org and tmpnb.org

Jupyter Helpers ⭐ 41

A collection of helpers for Jupyter/IPython

Introduction To Data Science ⭐ 31

an introduction to Data Science using Python

Python_for_ml ⭐ 30

brief introduction to Python for machine learning

Gaia is a geospatial analysis library jointly developed by Kitware and Epidemico.

Study Of David Mackay S Book ⭐ 21

David Mackay's book review and problem solvings and own python codes, mathematica files

Data Science Resources ⭐ 21

Pairs_trading_cryptocurrencies_strategy_catalyst ⭐ 21

Pairs trading strategy example based on Catalyst

Seamless ⭐ 19

Seamless is a framework to set up reproducible computations (and visualizations) that respond to changes in cells. Cells contain the input data as well as the source code of the computations, and all cells can be edited interactively.

Ml Dl Rl_codes ⭐ 8

This repository contains codes starting from the basic machine learning to advanced topics in Ipython Notebooks.

Psyplot Gui ⭐ 7

Graphical User Interface for the psyplot package

Datascience Notebooks ⭐ 6

Collection of Data Science Notebooks

Tools In Data Science ⭐ 6

Videos, Slides, Notebooks, and Papers about some of Important Tools in Data Science

Planetjupyter ⭐ 5

🔴 🌌 🔭 Beautify your Jupyter Notebooks.

Real-time data stream classification and knowledge generation engine with no dependencies

Doing_pydata_science ⭐ 5

Python examples code for the Doing Data Science book

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