Using functional programming in Python like a boss: Generators, Iterators and Decorators

Using functional programming in Python like a boss: Generators, Iterators and Decorators

When you write:

A Date with Deep Learning

A Date with Deep Learning

Fetch a random set of styleids, and download the corresponding product images. A dataset of just 2000 images is good enough for this usecase.

The Tao of Python

The Tao of Python

While we introduce many different objects, we only use two kinds of relationships:

MNIST - Keras (Backend: TensorFlow)

MNIST - Keras (Backend: TensorFlow)

Accuracy: 0.9204

¿Qué es programar?

¿Qué es programar?

Python viene instalado por defecto en todas las distribuciones Linux. En Ubuntu , la versión que viene instalada es python2 y en otras distribuciones como Arch Linux , la versión es python3 . Lo recomendable si vas a iniciarte en ...

Data

Data

For more information see the description of the simple noise adaptation layer in the paper

📑 Reflections. Intro to Data Science. Lessons 3-4

📑 Reflections. Intro to Data Science. Lessons 3-4

https://docs.scipy.org/doc/scipy-0.15.1/reference/generated/scipy.stats.ttest_ind.html

📑 Reflections. Intro to Data Science. Lesson 5

📑 Reflections. Intro to Data Science. Lesson 5

Python 3 4.7.1. String Methods: https://docs.python.org/3/library/stdtypes.html

📑 Reflections. Intro to Data Science. Lessons 1-2

📑 Reflections. Intro to Data Science. Lessons 1-2

Learn Pandas: https://bitbucket.org/hrojas/learn-pandas

The issue of data preprocessing

The issue of data preprocessing

In the context of supervised machine-learning this apparently harmless initial procedure can lead to overfitting and overoptmistic estimation of the prediction error. Let's make an example.

Python For Data Science Cheat Sheet

Python For Data Science Cheat Sheet

The Pandas library is built on NumPy and provides easy-to-use data structures and data analysis tools for the Python programming language.

Use shift-enter to execute a code block and move to the next one.

Use shift-enter to execute a code block and move to the next one.

Back to [0_tf_hello_world.ipynb](0_tf_hello_world.ipynb).

Good Book Hosts

Good Book Hosts

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

Topic Modeling of Twitter Followers

Topic Modeling of Twitter Followers

We use LDAvis to visualize several LDA modeling of the followers of the @alexip account.

A Little Book of Python for Multivariate Analysis

A Little Book of Python for Multivariate Analysis

This booklet assumes that the reader has some basic knowledge of multivariate analyses, and the principal focus of the booklet is not to explain multivariate analyses, but rather to explain how to carry out these analyses using Python.

Cómo se hizo el logo de Python Canarias (Spoiler: con Python)

Cómo se hizo el logo de Python Canarias (Spoiler: con Python)

Veamos primero si tenemos instalada la librería Pillow:

Using functional programming in Python like a boss: Generators, Iterators and Decorators

Using functional programming in Python like a boss: Generators, Iterators and Decorators

When you write:

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.

Delivered by Fastly , Rendered by Rackspace

Introduction

Introduction

This sequential view of user interaction/subreddit discovery is similiar in structure to other problems being solved with the use of Recurrent Neural Networks, such as Character Level Language Modelling and Automatic Authorship Detection . Due to the successes of these ...

Deep Learning with Python 2章勉強ノート

Deep Learning with Python 2章勉強ノート

1章は、Francois Chollet氏のDeep Learningへの思いの丈が詰まっており、2章からDeep Learningの紹介が始まります。

Parallel Computing with Python using a cluster

Parallel Computing with Python using a cluster

This IPython notebook illustrates a few simple ways of doing parallel computing. It assumes you have a parallel IPython cluster running over SSH as described in this tutorial . Launch the cluster:

It's metaclasses all the way down:

It's metaclasses all the way down:

Well, usually you don't.

Advanced Text Analysis with SpaCy and Scikit-Learn

Advanced Text Analysis with SpaCy and Scikit-Learn

Prepared by Jonathan Reeve ( Group for Experimental Methods in the Humanities , Columbia University). All code here is licensed under the MIT License.

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.

Delivered by Fastly , Rendered by Rackspace

Finding Lane Lines on the Road

Finding Lane Lines on the Road

Once you have a result that looks roughly like "raw-lines-example.mp4", you'll need to get creative and try to average and/or extrapolate the line segments you've detected to map out the full extent of the lane lines. You can see an ...

Cleaning PLE DataSet

Cleaning PLE DataSet

Upon inspection of the Dataset, a few issues were encountered.

Using functional programming in Python like a boss: Generators, Iterators and Decorators

Using functional programming in Python like a boss: Generators, Iterators and Decorators

When you write:

Coin Problem:

Coin Problem:

You place 100 coins heads up in a row and number them by position, with the coin all the way on the left No. 1 and the one on the rightmost edge No. 100. Next, for every number N, from ...

Learning motor primitives on a small crawling robot using Q-Learning.

Learning motor primitives on a small crawling robot using Q-Learning.

NB viewer link for this notebook: Learning motor primitives on a small crawling robot using Q-Learning

Index

Index

2.Data