Category: Python

Python tutorials

Python

Measuring memory usage in Python: it’s tricky!

If you want your program to use less memory, you will need to measure memory usage. You’ll want to measure the current usage, and then you’ll need to ensure it’s using less memory once you make some improvements. It turns out, however, that measuring memory usage isn’t as straightforward as you’d think. Even with a highly simplified model of how memory works, different measurements are useful in different situations. In this article you’ll learn: A simplified but informative model of […]

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Python

CPython Internals: Paperback Now Available!

After almost two years of writing, reviewing, and testing, we’re delighted to announce that CPython Internals: Your Guide to the Python 3 Interpreter is now available in paperback! Are there certain parts of Python that just seem like magic? Once you see how Python works at the interpreter level, you’ll be able to optimize your applications and fully leverage the power of Python. In CPython Internals, you’ll unlock the inner workings of the Python language, learn how to compile the […]

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Data Science, NLP, Project, Python, Text

Natural Language Processing – Sentiment Analysis using LSTM

This article was published as a part of the Data Science Blogathon Introduction: This article aims to explain the concepts of Natural Language Processing and how to build a model using LSTM (Long Short Term Memory), a deep learning algorithm for performing sentiment analysis. Let’s first discuss Natural Language processing! Natural Language Processing: Natural Language Processing (NLP) is a subfield of Artificial Intelligence that deals with understanding and deriving insights from human languages such as text and speech. Some of the […]

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Advanced, NLP, Project, Python, Text, Unsupervised

Part 10: Step by Step Guide to Master NLP – Named Entity Recognition

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous article, we discussed semantic analysis, which is a level of NLP tasks. In that article, we discussed the techniques of Semantic analysis in which we discussed one technique named entity extraction, which is very important to understand in NLP. So, In this article, we will deep dive into the entity extraction […]

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Python

Python vs JavaScript for Python Developers

Python isn’t the only language out there, and one of the other languages frequently fighting Python for the top of the “most popular” lists is JavaScript. JavaScript is the de facto language on the web but also has a robust toolset on the server side. This course explores JavaScript from a Python programmer’s perspective. If you’ve never used JavaScript before or have felt overwhelmed by the quick pace of its evolution in recent years, then this course will set you […]

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Advanced, NLP, Project, Python, Text

Part 1: Step by Step Guide to Master NLP – Introduction

This article was published as a part of the Data Science Blogathon Introduction Computers and Machines are great while working with tabular data or Spreadsheets. However, human beings generally communicate in words and sentences, not in the form of tables or spreadsheets, and most of the information that humans speak or write is present in an unstructured manner. So it is not very understandable for computers to interpret these languages. Therefore, In natural language processing (NLP), our aim is to make […]

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Beginner, Data Cleaning, NLP, Python, Text

Part 4: Step by Step Guide to Master NLP – Text Cleaning Techniques

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous part of this blog series, we complete the initial steps involved in text cleaning and preprocessing that are related to NLP. Now, in continuation of that part, in this article, we will cover the next techniques involved in the NLP pipeline of Text preprocessing. In this article, we will first discuss […]

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Advanced, Computer Vision, Image, Image Analysis, NLP, Project, Python, Unstructured Data

Text detection from images using EasyOCR: Hands-on guide

# Changing the image path IMAGE_PATH = ‘Turkish_text.png’ # Same code here just changing the attribute from [‘en’] to [‘zh’] reader = easyocr.Reader([‘tr’]) result = reader.readtext(IMAGE_PATH,paragraph=”False”) result Output: [[[[89, 7], [717, 7], [717, 108], [89, 108]], ‘Most Common Texting Slang in Turkish’], [[[392, 234], [446, 234], [446, 260], [392, 260]], ‘test’], [[[353, 263], [488, 263], [488, 308], [353, 308]], ‘yazmak’], [[[394, 380], [446, 380], [446, 410], [394, 410]], ‘link’], [[[351, 409], [489, 409], [489, 453], [351, 453]], ‘bağlantı’], [[[373, 525], […]

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Python

Simplify Complex Numbers With Python

Most general-purpose programming languages have either no support or limited support for complex numbers. Your typical options are learning some specialized tool like MATLAB or finding a third-party library. Python is a rare exception because it comes with complex numbers built in. Despite the name, complex numbers aren’t complicated! They’re convenient in tackling practical problems that you’ll get a taste of in this tutorial. You’ll explore vector graphics and sound frequency analysis, but complex numbers can also help in drawing […]

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Advanced, NLP, Project, Python, Structured Data, Technique, Text

All You Need to know about BERT

This article was published as a part of the Data Science Blogathon Introduction Machines understand language through language representations. These language representations are in the form of vectors of real numbers. Proper language representation is necessary for a better understanding of the language by the machine. Language representations are of two types: (i) Context-free language representation such as Glove and Word2vec where embeddings for each token in the vocabulary are constant and it doesn’t depend on the context of the word. […]

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