Python Programming Examples

Levenshtein Distance in Python: Troubleshooting Installation Errors on Windows

For Python developers, the Levenshtein distance package is one of the most valuable tools for text analysis, comparison, and natural language processing. The Levenshtein distance algorithm is indispensable because it is used in many real-life applications such as bioinformatics, speech recognition and spell checks. The Levenshtein distance is a metric used to calculate the difference […]

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Flake8: Python’s Powerful Code Analysis Tool for Improved Code Quality

If you have ever coded in any programming language, you may understand the importance of great code quality and correctness. CheckStyle is a Java tool that helps discover potential issues and maintain code standards. Similarly in Python, Flake8 can be used for code analysis. Let’s check out its implementation. Also Read: Python Equivalent to Java

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Object Detection with OpenCV: A Step-by-Step Tutorial

Computer vision tasks are responsible for making computers see the world as we do, through our eyes, and perceive the information similarly. There are many computer-vision tasks such as object detection, object/image recognition, object segmentation, optical character recognition(OCR), pose estimation, object tracking, facial recognition, and so on, each having its specific use case. For example,

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Python Exception Handling: How to Fix “Exception ignored in” Messages

Exception handling is a very important part of Python code. Python programming language alerts the programmer of any unexpected situations, this is known as an exception. Sometimes, there are situations where exceptions go unnoticed and the interpreter provides us a message stating “Exception ignored in”. In this article, we will discuss the reasons behind these

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Empirical Distribution in Python: Histograms, CDFs, and PMFs

Empirical distribution in Python describes the distribution of data from what is observed rather than having an underlying assumption. It represents the frequency or proportion of observations falling into a particular range by using histograms, cumulative distribution functions (CDFs), or probability mass functions (PMFs). It is a type of deductive distribution technique that makes direct

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Backtracking Line Search Algorithm for Unconstrained Optimization

Optimization is one of the most fundamental functions of any algorithm. Unconstrained optimization problems refer to those problems where we need to maximize or minimize our function without any constraint on our decision variables. These problems find their usage in many fields such as economics, engineering, machine learning, and many more. The backtracking line search

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