Goto

Collaborating Authors

python 3


How to install Ray under Windows

#artificialintelligence

First of all, Windows support for Ray is in alpha, and obviously not recommended for production use. Nevertheless, when getting to learn ray, some of you may still want to install it on their Windows laptop, if you don't prefer to use a Linux-based installation. When you take a look at the official installation instructions is a breeze, not only on Linux, but also on Windows: update your Visual C Runtime, do a simple installation with pip, and there you go. Except that nowadays, everybody tries to keep their python environments neatly separated, which means that instead of pip, you usually use an package manager like venv/virtualenv, pipenv, pew, or conda. And that's where the fun begins.


An Introduction To Python & Machine Learning For Technical SEO

#artificialintelligence

Since I first started talking about how Python is being used in the SEO space two years ago, it has gained even more popularity and a lot of people have started to utilize and see the benefits of using it in their day-to-day roles. It's really exciting to see so many SEOs share their experiences, the cool scripts they have written, and the impact it has had on their jobs. It wouldn't be right for me to publish this without mentioning the impact that Hamlet Batista had on me and so many other people. He loved seeing people learn and use Python. I know he would be so proud to see so many people sharing their journey of learning Python, and all of the amazing scripts that people have written.



Python Programming for Beginners Part -14

#artificialintelligence

Switch -- case is one of the powerful and useful statement in high-level programming languages like C, C, Java, and PHP etc. In this article, we are going to explore Pythonic way to implement switch- case that is called match -- case statement in python 3.10. Let's pull up your socks to understand match-case. Python is closely matched to human logical style while writing the codes. Python is well known for ease of use and simple coding style of syntax in comparison with other programming languages like C, C, Java and PHP and so on. What is a Switch Statement?


10 Best Python Books for Every Data Scientist to Learn Python

#artificialintelligence

It follows an approach where you read an explanation for a programming concept and then write the code character by character. One of the best Python books to start your Python Journey. This is a reliable companion to the Python documentation. It gives a rich view of the language and many of its most useful modules, whilst still being concise.


How to build a chatbot using Rasa and Python

#artificialintelligence

Today we'll be talking about how to make an AI-powered chatbot using Rasa and Python. It doesn't matter if you have deep knowledge of python or are just a beginner in the world of coding! This article mainly focuses on the AI framework, Rasa, and a little bit of python. Before getting started, let me tell you the required software to be installed for the project. I am assuming that you already have Python 3.8 installed in your PC since Python 3.9 version doesn't work with rasa, it has some issue so I'll suggest you download version 3.8 if you don't have it. You can download the following two softwares from the link provided below (if you don't already have them on your PC, or you can continue with the article if you do).


Programming languages: This major update for Python has just arrived

ZDNet

Python, the most popular programming language today, has reached version 3.10, marking the the next major release since the decade-long transition from Python 2.7. Tiobe, the compiler of a language popularity index, this week crowned Python as the most popular programming language, placing it ahead of Java, C and JavaScript for the first time in 20 years. The appeal of Python, a 30 year-old language, is it's easy to learn, popular for machine learning and is backed by big ecosystem of third-party software libraries that make it more useful in artificial intelligence, like Google's TensorFlow and Facebook's PyTorch. Here's a look at the most popular programming languages based on surveys and courses. Python 3.10 succeeds Python 3.9 and has been in the works for over a year as core Python (CPython) developers continued to work on backwards compatibility.


Amazon.com: Python 3 Without Prior Knowledge: Learn how to program a neural network within 7 days eBook : Spahic, Benjamin: Kindle Store

#artificialintelligence

Wouldn't you like to learn how to program Python 3 without any previous knowledge? No problem - with the help of this beginner's guide, you will be able to understand the basic principles of object-oriented programming around variables, loops and classes in no time. This guidebook covers the basics of Python programming. Real practical examples, graphics and smaller exercises help in parallel with understanding. With the help of this beginner's guidebook, many satisfied readers have already been able to get started and expand their own skills, see for yourself!nderstand.


How to Learn Python for Machine Learning

#artificialintelligence

Python has become a defacto lingua franca for machine learning. It is not a difficult language to learn, but if you are not particularly familiar with the language, there are some tips that can help you learn faster or better. In this post, you will discover what is the right way to learn a programming language and how to get help. How to Learn Python for Machine Learning Photo by Federico Di Dio, some rights reserved. There are many ways to learn a language, same for natural languages like English, or programming language like Python.


Now You Can Build Graph Neural Networks With Spektral Based On Keras

#artificialintelligence

Recently, a PhD researcher, Daniele Grattarola built a framework known as Spektral for mapping relational representation learning which is built in Python and is based on the Keras API. Spektral contains a comprehensive set of tools to build graph neural networks as well as implement some of the popular layers for graph Deep Learning. Spektral is built with semi-supervised deep learning methods for graph data, Graph Neural Network (GNN). According to this paper, the idea of GNN is simple: to encode structural information of the graph, each node v_i can be represented by a low-dimensional state vector s_i, 1 i N. The categorisation of deep learning methods on the graph is shown below The core GNN modules of Spektral are mainly based on Keras and it works with all the different backends offered by Keras in order to promptly start experimenting with the Relational Representation Learning (RRL) which consists of developing models that are able to deal with graphs natively without having to deal with the distracting low-level details. The accessory modules of Spectral are built in Numpy/Scipy and for which everything should work at the speed of almost-C-like and without compatibility issues.