September 25, 2020 Python

Getting Started with Python’s Wikipedia API

Introduction In this article, we will be using the Wikipedia API to retrieve data from Wikipedia. Data scraping has seen a rapid surge owing to the increasing use of data analytics and machine learning tools. The Internet is the single largest source of information, and therefore it is important to know how to fetch data from various sources. And with Wikipedia being one of the largest and most popular sources for information on the Internet, this is a natural place […]

September 25, 2020 Python

Concurrency in Python

Introduction Computing has evolved over time and more and more ways have come up to make computers run even faster. What if instead of executing a single instruction at a time, we can also execute several instructions at the same time? This would mean a significant increase in the performance of a system. Through concurrency, we can achieve this and our Python programs will be able to handle even more requests at a single time, and over time leading to […]

September 25, 2020 Python

Multiple Linear Regression with Python

Introduction Linear regression is one of the most commonly used algorithms in machine learning. You’ll want to get familiar with linear regression because you’ll need to use it if you’re trying to measure the relationship between two or more continuous values. A deep dive into the theory and implementation of linear regression will help you understand this valuable machine learning algorithm. Defining Terms Before we delve into linear regression, let’s take a moment to make sure we are clear on […]

September 25, 2020 Python

Building a Todo App with Flask in Python

Introduction In this tutorial, we are going to build an API, or a web service, for a todo app. The API service will be implemented using a REST-based architecture. Our app will have the following main features: Create an item in the todo list Read the complete todo list Update the items with status as “Not Started”, “In Progress”, or “Complete” Delete the items from the list What is REST? REST, or REpresentational State Transfer, is an architectural style for […]

September 25, 2020 Python

Run-Length Encoding

In this article we’ll go over how the run-length encoding algorithm works, what it’s used for, and how to implement its encode and decode functions in Python. Run-length encoding (RLE) is a very simple form of data compression in which a stream of data is given as the input (i.e. “AAABBCCCC”) and the output is a sequence of counts of consecutive data values in a row (i.e. “3A2B4C”). This type of data compression is lossless, meaning that when decompressed, all […]

September 25, 2020 Python

Introduction to OpenCV with Python

Introduction In this tutorial, we are going to learn how to use OpenCV library in Python. OpenCV is an open source library which is supported by multiple platforms including Windows, Linux, and MacOS, and is available for use in multiple other languages as well; however, it is most commonly used in Python for Machine Learning applications, specifically in the Computer Vision domain. Apart from its cross-platform support and availability in multiple other computer languages, which allows applications developed in it […]

September 25, 2020 Python

Text Generation with Python and TensorFlow/Keras

Introduction Are you interested in using a neural network to generate text? TensorFlow and Keras can be used for some amazing applications of natural language processing techniques, including the generation of text. In this tutorial, we’ll cover the theory behind text generation using a Recurrent Neural Networks, specifically a Long Short-Term Memory Network, implement this network in Python, and use it to generate some text. Defining Terms To begin with, let’s start by defining our terms. It may prove difficult […]

September 25, 2020 Python

Python for NLP: Creating a Rule-Based Chatbot

This is the 12th article in my series of articles on Python for NLP. In the previous article, I briefly explained the different functionalities of the Python’s Gensim library. Until now, in this series, we have covered almost all of the most commonly used NLP libraries such as NLTK, SpaCy, Gensim, StanfordCoreNLP, Pattern, TextBlob, etc. In this article, we are not going to explore any NLP library. Rather, we will develop a very simple rule-based chatbot capable of answering user […]

September 25, 2020 Python

Introduction to GANs with Python and TensorFlow

Introduction Generative models are a family of AI architectures whose aim is to create data samples from scratch. They achieve this by capturing the data distributions of the type of things we want to generate. These kind of models are being heavily researched, and there is a huge amount of hype around them. Just look at the chart that shows the numbers of papers published in the field over the past few years: Since 2014, when the first paper on […]

September 25, 2020 Python

Python for NLP: Creating Bag of Words Model from Scratch

This is the 13th article in my series of articles on Python for NLP. In the previous article, we saw how to create a simple rule-based chatbot that uses cosine similarity between the TF-IDF vectors of the words in the corpus and the user input, to generate a response. The TF-IDF model was basically used to convert word to numbers. In this article, we will study another very useful model that converts text to numbers i.e. the Bag of Words […]

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