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Rajesh Yerremshetty Zero to Python Hero – Part 5/10: Essential Data Structures in Python: Lists, Tuples, Sets & Dictionaries
The fundamental way of storing, accessing and manipulating of data in python is data structures. Python provides an convenient and adaptable collection of objects to store and data and sort it in different ways, be it a list, a tuple,...
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Naveen Pandey Top 5 Skills Every Engineer Should Learn in 2026
The world of engineering is changing faster than ever before. Technologies that were once futuristic like artificial intelligence, machine learning, and cloud computing are now driving industries forward. By 2026, the engineers who thrive won’t just be the one who...
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Zero to Python Hero - Part 4/10 : Control Flow: If, Loops & More (with code examples)
A major element of any programming language is the capability to take decisions and repeat them -this is the so-called control flow. Control flow is a feature available in Python that enables us to have the control of how code...
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Zero to Python Hero - Part 3/10 : Understanding Type Casting, Operators, User Input and String formatting (with Code Examples)
Type Casting & Checking What is Type Casting? Type casting (also called type conversion) is the process of converting a value from one data type to another. It’s like translating between different languages – sometimes you need to convert a number to...
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Dynamic Programming in Reinforcement Learning: Policy and Value Iteration
The core topic of reinforcement learning (RL) Dynamic Programming in RL: Policy and Value Iteration Explained provides fundamental solutions to resolve Markov Decision Processes (MDPs). This piece teaches about Policy Iteration and Value Iteration alongside their mechanisms as well as...
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Different uses of underscore in Python
1 – Using in interpreter When you execute the expression in the python interpreter it will store the result of last executed expression in special variable that is underscore (‘_’). 2 – Using in looping While using loops or iterating over iterable objects you can use underscore (‘_’) as a variable. 3 – Using in…
Read MoreUse of assert statement in Python
Syntax: Assert condition [Error Message] Example 1: assert statement without error message Example 2: assert statement with error message Example 3: assert statement with try & except Example 4: assert statement with function Above, square(10) will return 100, whereas square(-10) will raise an AssertionError because we passed -10. Popular Posts
Read MoreDifference between iterables and iterators in Python
Iterables Iterators Iterators can be iterable because both iterator and iterable can be iterated using for loop but iterable objects can not be iterator because next() method is not supported by iterable objects. Popular Posts
Read MoreDecorators and Generators in Python
Python implementation Generators Python generators are functions that are similar to normal functions, but use yield statements instead of return statements. A generator function returns the generator object with a sequence of elements, which we can iterate over. Element in a generator object can be accessed either by using the next() function or using a…
Read MoreAbstraction in Python
Abstract Class Why Abstraction is Important? In Python, a person usually abstracts data/classes to hide the irrelevant information. This helps to reduce complexity and increase application efficiency. Abstract Base Classes An abstract class is the first part of a development interface that can be used to apply common features and behavior to several related subclasses.…
Read MoreOOPs in Python
Object-oriented programming (OOP) is a programming paradigm based on the concept of objects which contains data or attributes and code or methods. Major oops concepts include Class, Object, Inheritance, Polymorphism, Data Abstraction, Encapsulation. Class Class is the user defined data type and it is defined using class keyword. It is a collection of similar type…
Read MoreComputer Vision for Beginners – Part 5
What is Edge detection? Edge detection is a computer vision technique that uses the edges of an image to find and extract objects. It is widely used in a variety of fields such as photography, video and computer vision. it is used in many ways in computer vision, including image segmentation, which divides an image…
Read MoreComputer Vision for Beginners – Part 4
In this article, I will be discussing about various algorithms of image feature detection, description using OpenCV. Introduction What do humans typically do when they see the image? He will be able to recognize the faces which are there inside the images. So, in a simple form, computer vision is what allows computers to see…
Read MoreComputer Vision for Beginners – Part 3
You may be already familiar with the word ‘contour.’ I’ve used this term several times in previous posts. A contour line is a curved line representing values. It is a very simple type of map that outlines the changes in an area, typically separating the different landforms. But then you may ask this. The terms ‘edges’…
Read MoreComputer Vision for Beginners – Part 2
Today we’re going to talk about how to manipulate images. These are preprocessing steps. When it comes to detecting edges and contours, noise plays a major role in the accuracy of the detection process. -The model needs to focus on the general details of their images in order to produce higher accuracies. -Blurring, thresholding, and…
Read MoreComputer Vision for Beginners – Part 1
Image Processing is used to perform some operations on images in order to animate them, develop videos, or generate graphics. To get started with data analysis, you can use image preprocessing feature engineering. It’s not difficult to extract useful information from images – this is accomplished via image processing methods. Reduction of noise, adjustment of…
Read MoreWhat is doc2vec and word2vec in NLP?
Doc2vec is a technique that extracts semantic information from documents and then uses that information to classify the documents. By applying Doc2vec to existing documents, it becomes possible for AI software to rapidly identify similar topics in a large collection of text without having to read the entire corpus. This technique has been used in…
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