Category: Python

Python tutorials

Advanced, NLP, Python, Structured Data, Supervised, Text

Stock Price Movement Based On News Headline

Don’t look for the needle in the haystack. Just buy the haystack! I hope you all are well. Hurray!! finally today our theme is similar to our beautiful quote😅. I always look for new ideas to share my knowledge, because I heard that “Knowledge shared is knowledge squared😊”. Most of you already know something about Share Market. In this article, we will explore something new and interesting. So let’s dig deeper into our today’s theme. This article is actually based […]

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Python

Python News: What’s New From April 2021?

If you hang around Python developers long enough, you’ll eventually hear someone talk about how awesome the Python community is. If you want to get up to speed on what happened in the Python community in April 2021, then you’ve come to the right place to get your news! From better error messages that improve user experience to community-driven efforts to delay a change to CPython, April 2021 was a month full of stories that reminded us that Python is […]

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Advanced, Machine Learning, NLP, Python, Text, Topic Modeling, Unstructured Data

Topic Modelling in Natural Language Processing

Introduction Natural language processing is the processing of languages used in the system that exists in the library of nltk where this is processed to cut, extract and transform to new data so that we get good insights into it. It uses only the languages that exist in the library because NLP-related things exist there itself so it cannot understand the things beyond what is present in it. If you do processing on another language then you have to add […]

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Python

The hidden performance overhead of Python C extensions

Python is slow, and compiled languages like Rust, C, or C++ are fast. So when your application is too slow, rewriting some of your code in a compiled extension can seem like the natural approach to speeding things up. Unfortunately, compiled extensions are sometimes actually slower than the equivalent Python code. And even when they’re faster, the performance improvement might be far less than you’d imagine, due to hidden overhead caused by two factors: Function call overhead. Serialization/deserialization overhead. Let’s […]

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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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