Category: Tutorials
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torch.Tensor Explained: Basics, Examples, and Common Methods in PyTorch
If you’re diving into deep learning with PyTorch, there’s one core building block you must understand — the torch.Tensor. This object is the heart of all computations in PyTorch, similar to arrays in NumPy, but with superpowers for GPU acceleration and automatic differentiation. Whether you’re manipulating data, performing matrix operations, or building deep learning models,…
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Understanding torch.nn in PyTorch
If you’re learning deep learning with PyTorch, one of the most important modules you’ll encounter is torch.nn. This module forms the backbone of neural network creation in PyTorch. Whether you’re building a simple linear regression or a deep convolutional neural network, torch.nn helps manage the layers, activation functions, loss functions, and much more. In this…
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Understanding torch.nn.functional: A Comprehensive Guide
Understanding torch.nn.functional: A Comprehensive Guide The torch.nn.functional module is a fundamental part of PyTorch, providing a collection of stateless functions for neural network operations. Unlike torch.nn, which contains classes with learnable parameters, torch.nn.functional (often imported as F) offers pure functions that perform computations without storing state. This makes it highly flexible for custom neural network implementations. What is torch.nn.functional? torch.nn.functional is a…
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Python Replace Part of String – How to Modify and Clean Strings Easily (2025)
Working with strings is a fundamental part of programming, and Python makes it super easy. One of the most common string operations is replacing a part of a string — whether it’s a word, character, or pattern. In this article, you’ll learn everything you need to know about how to replace part of a string…
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What is Formatted String in Python?
When you’re writing code in Python, one of the most common tasks you’ll come across is inserting variables into strings. That’s where formatted strings in Python come in. This feature makes your code more readable, efficient, and cleaner — especially when working with dynamic data. In this article, we’ll answer the question: what is formatted…
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String Slicing in Python Explained with Examples
If you’re new to Python programming or even brushing up your skills, one concept that you’ll encounter early on is string slicing. It’s one of Python’s most powerful and elegant features that allows you to manipulate and extract parts of strings efficiently. In this article, we’ll explain string slicing in Python step-by-step with practical examples…
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String Concatenation Python: All You Need to Know with Examples
If you’re learning Python or building applications that involve text manipulation, one of the first and most important concepts you’ll come across is string concatenation. In simple terms, string concatenation in Python means joining two or more strings together to form a single string. In this comprehensive guide, we will walk through the different ways…
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Python String Concatenation: The Complete Guide with Examples
When working with strings in Python, one of the most common operations is concatenation — combining multiple strings into one. Whether you’re building messages, generating dynamic text, or handling data, Python string concatenation is a foundational skill that every programmer must master. In this blog, we’ll dive deep into how Python handles string concatenation, explore…
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String Slicing in Python: A Comprehensive Guide with Examples
Python is known for its simplicity and readability, and one of its most powerful features is string slicing. Whether you’re just starting to learn Python or you’re an experienced developer, understanding how to slice strings is a crucial skill. In this post, we’ll dive into what string slicing is, how it works, and provide plenty…
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NumPy CSV: How to Load and Save CSV Files Using NumPy
Handling CSV files is a common task in data analysis, and NumPy provides efficient tools to work with CSV data in Python. In this guide, we’ll show you how to load CSV files into NumPy arrays, save NumPy arrays to CSV, and answer frequently asked questions about working with CSV files in NumPy. What Does…