Category: Python

Python tutorials

Advanced, Data Exploration, Data Visualization, NLP, Python, Text, Unstructured Data, Unsupervised

WhatsApp Group Chat Analysis using Python

Introduction Today one of the trendy social media platforms is…. guess what? One and only Whatsapp😅. It is one of the favorite social media platforms among all of us because of its attractive features. It has more than 2B users worldwide and “According to one survey an average user spends more than 195 minutes per week on WhatsApp”. How terrible the above statement is. Leave all these things and let’s understand what actually WhatsApp analyzer means? WhatsApp Analyzer means we […]

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Advanced, Classification, Libraries, NLP, Python, Structured Data, Supervised, Technique, Text

Automate NLP Tasks using EvalML Library

“The quality of your communication shapes the quality of your life.”, with this beautiful line let’s s begin and understand what we will learn in this article. In my one of the article, I have explained how to automate machine learning problem statement using EvalML. In this article we will look at “is it possible to automate NLP task using EvalML?”. What is EvalML? It is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective […]

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Python

Build a Platform Game in Python With Arcade

For many video game players, the lure of writing games is a prime reason to learn computer programming. However, building a 2D platform game such as Lode Runner, Pitfall!, or Super Mario Bros. without proper tools or guidance can leave you frustrated. Fortunately, the Python arcade library makes creating a 2D game in Python accessible for many programmers! If you haven’t already heard about it, the arcade library is a modern Python framework for crafting games with compelling graphics and […]

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Python

Python’s map() Function: Transforming Iterables

Python’s map() is a built-in function that allows you to process and transform all the items in an iterable without using an explicit for loop, a technique commonly known as mapping. map() is useful when you need to apply a transformation function to each item in an iterable and transform them into a new iterable. map() is one of the tools that support a functional programming style in Python. In this course, you’ll learn: How Python’s map() works How to […]

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Python

Python Basics: Paperback Now Available!

After years of writing, reviewing, and testing, we’re delighted to announce that Python Basics: A Practical Introduction to Python 3 is now available in paperback! It’s been rewarding to hear how readers have been using this book to supercharge their learning. After receiving so much community feedback, we’re confident that you’ll build a strong foundation for your Python journey with this book: You’ll not only cover the core concepts you really need to know, but you’ll also learn them in […]

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Advanced, Data Exploration, Data Visualization, NLP, Project, Python, Technique, Text, Unsupervised

Speed Up Text Pre Processing Using TextHero Python Library

Introduction     Natural Language Processing, typically abbreviated as NLP, is a branch of artificial intelligence that manages the connection among PCs and people utilizing the regular language. A definitive target of NLP is to peruse, unravel, comprehend, and figure out the human dialects in a way that is significant. Most NLP strategies depend on AI to get significance from human dialects. NLP involves applying calculations to recognize and separate the characteristic language decides to such an extent that the […]

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Beginner, NLP, Python, Technique, Text, Unsupervised

A Simple Guide to Metrics for Calculating String Similarity

Introduction One of the applications of Natural Language Processing is auto-correction and spellings checks. All of us have encountered this that if we type an incorrect or typo in the Google search engine, then the engine automatically corrects it and suggests the right word in its place. How does the engine do that? How does it know what word we wanted to write or ask? That is what we will be covering in this article. The methods available to check […]

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Python

Don’t leak your Docker image’s build secrets

In January 2021 CodeCov suffered from a security breach. The mechanism: The [malicious] actor gained access because of an error in Codecov’s Docker image creation process that allowed the actor to extract the credential required to modify our Bash Uploader script. It’s unclear from the description what specific kind of secret was involved, but as you can see leaking secrets can be a significant problem. You want to ensure your secrets don’t end up getting leaked in your image! In […]

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Python

Python Community Interview With Moshe Zadka

This week, I’m joined by Moshe Zadka, a senior site reliability engineer at SurveyMonkey. Moshe is a core developer for the Twisted framework and a Real Python author. In this interview, we discuss a variety of topics, including the Twisted framework, Python for DevOps, writing Python books, and tai chi. Ricky: Thanks for joining me, Moshe. I’d like to start with the same questions I do with all my interview guests: how did you get into programming, and when did […]

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Python

Learn Text Classification With Python and Keras

Imagine you could know the mood of the people on the Internet. Maybe you are not interested in its entirety, but only if people are today happy on your favorite social media platform. After this course, you’ll be equipped to do this. While doing this, you will get a grasp of current advancements of (deep) neural networks and how they can be applied to text. Reading the mood from text with machine learning is called sentiment analysis, and it is […]

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