Notebook Gallery

Links to the best IPython and Jupyter Notebooks.

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Xarray for multidimensional gridded data

Xarray for multidimensional gridded data

However, not all Earth science datasets easily fit into the "tabular" model (i.e. rows and columns) imposed by Pandas. In particular, we often deal with multidimensional data . By multidimensional data (also often called N-dimensional ), I mean data with ...

JupyterLab

JupyterLab

KMeans com dados escolares

KMeans com dados escolares

Finalmente, vamos rodar sem fazer escala das variáveis.

Mongo - Network Failures

Mongo - Network Failures

(More technical details about how the MongoDB replica set is configured can be found in the notebook Dockering ).

Exploring Ireland's milk imports and exports

Exploring Ireland's milk imports and exports

A country's economy depends, sometimes heavily, on its exports and imports.

確率ロボティクス2017第10回

確率ロボティクス2017第10回

2017年11月22日@千葉工業大学

The decorators they won't tell you about

The decorators they won't tell you about

If you fit in the latter category, you'll almost necessarily have had spouted reassuringly at you: "Decorators are simple, they're just functions that take functions and return other functions!" You'll have seen a blog post that taught you how to ...

Create a Python 3.6 virtual environment and install the rdflib package with pip.

Create a Python 3.6 virtual environment and install the rdflib package with pip.

Download the "all records" dataset from the Classical Works Knowledge Base's "Linked Open Data" page , saving it in your working directory.

Naive analysis of 1I/2017 U1 (ʻOumuamua) MPC magnitude observations

Naive analysis of 1I/2017 U1 (ʻOumuamua) MPC magnitude observations

DISCLAIMER: this is experimental code and the results drawn will be inconclusive due to unknown uncertainties in the input data and the nature of the magnitude measurements reported to the MPC. See for example the discussion below:

Fetching container data with python-fmrest

Fetching container data with python-fmrest

FileMaker Data API gives us a location to the asset in the container field. With the fetch_file() method, we can now access the data or get more informationen, such as size, about the file.

UMAP

UMAP

From these assumptions it is possible to model the manifold with a fuzzy topological structure. The embedding is found by searching for a low dimensional projection of the data that has the closest possible equivalent fuzzy topological structure.

Introduction to scientific computing with Python

Introduction to scientific computing with Python

The latest version of this IPython notebook lecture is available at http://github.com/jrjohansson/scientific-python-lectures .

Import Tweepy

Import Tweepy

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Dime a quiénes sigues y te diré qué prefieres

Dime a quiénes sigues y te diré qué prefieres

Herramientas

Inclusive Institutions

Inclusive Institutions

Inequality between nations can be explained mostly by differences in the inclusiveness of their economic and political institutions.

Based on Twitter post from @paregorios, 11/17/17 https://twitter.com/paregorios/status/931649534538723333

Based on Twitter post from @paregorios, 11/17/17 https://twitter.com/paregorios/status/931649534538723333

This website does not host notebooks, it only renders notebooks available on other websites.

Tipos de datos

Tipos de datos

A continuación, los tipos de datos que podemos distinguir:

Jupyter Notebook Viewer - Linkis.com

Jupyter Notebook Viewer - Linkis.com

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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Não linear com Decision Tree

Não linear com Decision Tree

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Dime a quiénes sigues y te diré qué prefieres

Dime a quiénes sigues y te diré qué prefieres

Toolkit

P-values, Probability, Priors, Rabbits, Quantifauxcation, and Cargo-Cult Statistics

P-values, Probability, Priors, Rabbits, Quantifauxcation, and Cargo-Cult Statistics

Now it behooves me, of course, to tell you what they’re missing. But it would he just about as difficult to explain to the South Sea Islanders how they have to arrange things so that they get some wealth in ...

Basic UMAP Usage and Parameters

Basic UMAP Usage and Parameters

To start we'll need some basic libraries. First numpy will be needed for basic array manipulation. Since we will be visualising the results we will need matplotlib and seaborn . Finally we will need umap for doing the dimension reduction ...

Dive into promiscuity cliffs

Dive into promiscuity cliffs

Identification and analysis of promiscuity cliffs formed by bioactive compounds and experimental implications

Data Manipulation with the dplyr Package

Data Manipulation with the dplyr Package

As most of you are data scientists/data enthusiasts, I will showcase one of the most useful data manipulation packages in R, dplyr . At the end of this session, you will have learned:

Open netCDF files using xarray

Open netCDF files using xarray

To open one file and translate it into a Dataset object you simply need to used the following command:

Use case: Crystal gel data

Use case: Crystal gel data

All distances are in pixels. Particle radius is 5.737px and they interact within 12.5 px.

This website does not host notebooks, it only renders notebooks available on other websites.

This website does not host notebooks, it only renders notebooks available on other websites.

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Visualizing Topic clusters

Visualizing Topic clusters

We'll use the fake news dataset from kaggle for this notebook. First step is to preprocess the data and train our topic model using LDA. You can refer to this notebook also for tips and suggestions of pre-processing the text ...

Investment analytics tutorial

Investment analytics tutorial

What is an investment?