urllib2 is used in python 2.x, so if you use urllib2 in python 3.x, you will get this error: No module named ‘urllib2’. To fix this error, we should use python 2.x or replace urllib.request to replace it.
Python 2 and Python 3 is different, if you want to install and use both of them to programming, we will recommend anaconda to implement. In this tutorial, we will introduce how to do.
Word embeddings can be created with Word2Vec and Glove, it is common used in nlp filed. In this tutorial, we will introduce how to create word embeddings from text using Glove.
Converting a relative url to an absolute one is very important when you are crawling a site, which can allow you to continue to crawl. In this tutorial, we will introduce you how to convert.
Implement 2D scatter plot is very simple, how about implementing a 3D scatter plot? In this tutorial, we will introduce how to implement a 3D one.
Spearman’s Correlation Coefficient is widely used in deep learning right now, which is very useful to estiment the correlation of two variables. In this tutorial, we will introduce how to calculate spearman’s correlation coefficient.
Scatter plot can show the distribution of a pair of data on a two-dimensional plane, which is very useful for us to observe the feature of data. In this tutorial, we will write an example to show how to implement a scatter plot using matplotlib.
Spearman’s correlation coefficient is a statistical measure of the strength of a monotonic relationship between paired data, which is often used in deep learning filed. In this tutorial, we will introduce some basic knowlege on it.
Word2Vec is an open source to create word embeddings , which is very useful in nlp filed. In this tutorial, we will introduce how to create word embeddings from a text file for you.
Python zip() function takes iterables (can be zero or more), makes an iterator that aggregates elements based on iterators you give, then returns an iterator of tuples. In this tutorial, we will discuss how to this function with some examples.