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Overview and Summary of StepsThis tutorial guides you through setting up a Django project for a REST API using Docker and Docker Compose, linking it to GitHub for version control, and pushing it to Docker Hub securely — all without needing Python Summary of Steps:Start a Project on GitHub: Create and clone a repository.Add Docker Hub Secrets in GitHub: Store Docker Hub credentials securely.Set U..

IntroductionIn one of the previous lessons (cpp_008: for Loops in C++), we covered the basics of for loops, including their syntax and common use cases. In this lesson, we’ll explore different types of for loops in C++, specifically focusing on range-based for loops and reference-based for loops. These loops provide cleaner, more efficient, and safer ways to iterate over collections like arrays,..

IntroductionIn C++, both arrays and vectors allow us to store multiple values in a structured format. However, they have fundamental differences in memory management, flexibility, and ease of use. This lesson will compare C++ arrays and vectors, highlight their key differences, and provide two example problems demonstrating when to use each.🔹 Comparing the Syntax of Arrays and VectorsHere, T is..

Vectors in C++ provide a more flexible alternative to arrays. They are part of the Standard Template Library (STL) and offer dynamic resizing, built-in functions, and better memory management. In this lesson, we’ll explore what vectors are, how they differ from arrays, and compare them to Python lists.1. What is a Vector?A vector is a dynamic array that automatically resizes as elements are adde..

In the previous lesson, we introduced the mathematical foundation of Graph Convolutional Networks (GCNs). You can find the explanation of the GCN formula in the following link: [link below].https://medium.com/@staytechrich/graph-convolutional-networks-gcn-001-understanding-the-gcn-formula-step-by-step-a5e248c91ce0Now, we will implement a GCN model in PyTorch, applying the concepts we learned. We..

IntroductionIn this post, we will break down the fundamental Graph Convolutional Network (GCN) formula with a simple example. We will walk through each component, including the adjacency matrix, degree matrix, normalization, and feature transformations. By the end of this lesson, you’ll have a clear understanding of the basic mathematical operations behind GCNs. In a Graph Convolutional Network ..

In this tutorial, we will explore the basics of threading in Python. We will break down simple examples using the threading module and progressively dive into more complex scenarios.OverviewThreading allows concurrent execution of multiple tasks (or threads) within a program. Python’s built-in threading module makes it easy to handle threads and boost performance for I/O-bound tasks.1. Simple Ex..

Multidimensional arrays are an extension of one-dimensional arrays, allowing you to store data in a grid-like structure. They are particularly useful for representing matrices, tables, or any data that requires multiple dimensions. In this lesson, we’ll explore how to declare, initialize, and use multidimensional arrays in C++. We’ll also cover how to input data into arrays using cin and handle ..

When writing Python code, you often need to make your code more readable and maintainable, especially for larger projects. This is where type hinting becomes essential. Type hints help you specify the expected types of variables, function arguments, and return values. Let’s explore how to use type hints effectively with simple examples.Why Use Type Hints?Type hints help:Improve code readability...

In this lesson, we will dive deeper into Django REST Framework (DRF) serializers, which are a crucial component for converting complex data types, such as Django models, into Python data types that can be easily rendered into JSON, XML, or other content types. We will also explore the important methods and concepts related to serializers, and how they fit into the broader context of building RES..