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  • Bulletproof Django API for a TMS project
    Bulletproof Django API for a TMS project
    Introduction This tutorial guides you through building a basic web application using Django and Django REST Framework (DRF). The application will manage a book collection, enabling CRUD (Create, Read, Update, Delete) operations via a REST API. Prere
    Python Tutorial 662 2025-01-19 22:14:12
  • Resize in PyTorch
    Resize in PyTorch
    Buy Me a Coffee☕ *Memos: My post explains OxfordIIITPet(). Resize() can resize zero or more images as shown below: *Memos: The 1st argument for initialization is size(Required-Type:int or tuple/list(int)): *Memos: It's [width, height]. It
    Python Tutorial 1002 2025-01-19 22:12:10
  • Boost your Django projects&#s security with proper `Cache-Control` on views
    Boost your Django projects&#s security with proper `Cache-Control` on views
    Caching significantly boosts Django application performance, but safeguarding sensitive data is paramount. This article demonstrates how to effectively manage Cache Control in Django views, preventing sensitive information from being cached. This i
    Python Tutorial 374 2025-01-19 18:10:09
  • Exploring the World of AI Tools: Revolutionizing Work and Learning
    Exploring the World of AI Tools: Revolutionizing Work and Learning
    1. ChatGPT: Your Conversational AI Partner ChatGPT, OpenAI's advanced conversational AI, excels at understanding and generating human-quality text. Its applications span brainstorming, email composition, coding assistance, and learning. Use Cases:
    Python Tutorial 833 2025-01-19 06:59:10
  • Getting Started with Python for Machine Learning
    Getting Started with Python for Machine Learning
    Python's popularity in Machine Learning (ML) stems from its ease of use, flexibility, and extensive library support. This guide provides a foundational introduction to using Python for ML, covering essential libraries and demonstrating a simple model
    Python Tutorial 239 2025-01-19 06:31:08
  • Data Structures in Python -Stack
    Data Structures in Python -Stack
    The stack in Python, like other programming languages, is a linear data structure that follows the last-in-first-out (LIFO) principle. This means that the last element added will be removed first. Stack scene understanding: Imagine a stack of plates and you can only add or remove the top plate. Common operations include "push" (adding an element), "pop" (removing the top element), and "peek" (viewing the top element without removing it). Common operations on the stack: Commonly used operations on the stack are as follows: Push: Add an element to the top of the stack. Pop: Remove and return the top element of the stack. Peek: Returns the top element of the stack without removing it. is_empty: Check whether the stack is empty. size: return stack element
    Python Tutorial 689 2025-01-19 02:20:09
  • Data Structures in Python - Trees
    Data Structures in Python - Trees
    A tree data structure in Python is a non-linear data structure in which elements (called nodes) are connected by edges, with only one path between any two nodes. Tree data structure in Python Like all programming languages, a tree in Python is a hierarchical data structure with each node connected by edges. A tree consists of multiple nodes with a unique root node as the starting point. Trees are often used to represent hierarchical organizations, such as organizational charts or file systems. The topmost node of the tree is called the root node, and the nodes below it are called child nodes. Each node can have multiple child nodes, and these child nodes can also have their own child nodes, forming a recursive structure. Basic terminology for trees Root node: The top node of the tree.
    Python Tutorial 653 2025-01-19 02:19:09
  • Unit Testing in Python
    Unit Testing in Python
    Python unit testing is a software testing method that tests individual units or components of code individually to ensure that they work as expected. These building blocks can be functions, classes, or methods. Importance of unit testing Unit testing is crucial when: Catch bugs early: Unit testing allows you to catch bugs early in development, making them easier and more cost-effective to fix. Improved code quality: Writing tests encourages you to consider corner cases and potential problems, resulting in well-structured code. Facilitates refactoring: Unit testing allows you to refactor at scale without fear of breaking functionality. Documentation: Unit tests act as dynamic documents, demonstrating how the code is used. How to do unit testing in Python? the following
    Python Tutorial 202 2025-01-19 02:17:10
  • How to Deploy a Flask Portfolio Website on AWS Elastic Beanstalk
    How to Deploy a Flask Portfolio Website on AWS Elastic Beanstalk
    Deploying Your Flask Application on AWS Elastic Beanstalk: A Comprehensive Guide This guide walks you through deploying a Flask application (a portfolio website example) to AWS Elastic Beanstalk, addressing recent changes in Auto-Scaling Group polici
    Python Tutorial 191 2025-01-19 02:15:38
  • Power of Python Libraries in Data Science
    Power of Python Libraries in Data Science
    Python: The Data Science Powerhouse – A Library Guide Python's extensive library ecosystem makes it the go-to language for data science. From data wrangling to sophisticated machine learning models, Python offers powerful tools for every stage of th
    Python Tutorial 573 2025-01-19 02:12:10
  • Comparative Analysis of Classification Techniques: Naive Bayes, Decision Trees, and Random Forests
    Comparative Analysis of Classification Techniques: Naive Bayes, Decision Trees, and Random Forests
    Unlocking Dinosaur Secrets with Machine Learning: A Model Comparison Machine learning empowers us to unearth hidden patterns within data, leading to insightful predictions and solutions for real-world problems. Let's explore this power by applying i
    Python Tutorial 292 2025-01-19 00:11:09
  • Mastering Python Time Series Analysis: Tools and Techniques for Data Scientists
    Mastering Python Time Series Analysis: Tools and Techniques for Data Scientists
    As a prolific author, I invite you to explore my books on Amazon. Remember to follow my work on Medium for continued insights and support. Your engagement is invaluable! Python's capabilities in time series analysis are undeniable, offering a rich
    Python Tutorial 205 2025-01-18 22:17:09
  • Why You Should Use a Single FastAPI App and TestClient Instance
    Why You Should Use a Single FastAPI App and TestClient Instance
    In FastAPI development, particularly for larger projects, employing a single FastAPI application instance and a single TestClient instance throughout your project is crucial for maintaining consistency, optimizing performance, and ensuring reliabilit
    Python Tutorial 608 2025-01-18 22:15:09
  • Project - Supervised Learning with Python - Lets use Logistic Regression for Predicting the chances of having a Heart Attack
    Project - Supervised Learning with Python - Lets use Logistic Regression for Predicting the chances of having a Heart Attack
    This tutorial demonstrates a machine learning project using Python and the LogisticRegression algorithm to predict the likelihood of a heart attack. The dataset, sourced from Kaggle, is analyzed to build a predictive model. Key Concepts: Logistic R
    Python Tutorial 254 2025-01-18 22:14:11
  • My Python Journey: From Zen to Lists
    My Python Journey: From Zen to Lists
    My First Steps into the World of Python! This blog marks the beginning of my coding journey, a place to document my progress, share projects, and connect with fellow learners. Why I Embarked on This Coding Quest I'm a data professional, husband, an
    Python Tutorial 683 2025-01-18 22:13:10

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