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Beginners Guide

Calling Python Functions

Calling Python Functions

Basics of Python

Learn how to call Python functions from basics to advanced techniques, including parameters, returns, and scope. Essential for code organization and reuse.

Common Beginner Mistakes in Exception Handling

Common Beginner Mistakes in Exception Handling

Error Handling & Exceptions in Python

Avoid common Python exception handling mistakes like bare except blocks for more robust and debuggable code.

Common ML Mistakes Beginners Make

Common ML Mistakes Beginners Make

Machine Learning & AI

Avoid common machine learning pitfalls by understanding your data before building models and ensuring feature scaling for better algorithm performance.

Creating Tuples

Creating Tuples

Basics of Python

Tuples are immutable Python data structures ideal for storing unchangeable items like coordinates or configurations, similar to lists but fixed once created.

Creating Your First Django Project

Creating Your First Django Project

Django Framework

Learn to create your first Django project from scratch, a Python web framework that enables rapid development with clean design and minimal code.

Data Standardization Techniques

Data Standardization Techniques

Data Analysis & Visualization

Data standardization is a key preprocessing technique that rescales features to have a mean of 0 and standard deviation of 1, improving model performance and convergence in machine learning and statistics.

Defining Functions in Python

Defining Functions in Python

Basics of Python

Python functions are essential for organizing and reusing code. They are defined using the def keyword, allowing you to encapsulate specific tasks for better readability and efficiency in your programs.

Django Project Structure Best Practices

Django Project Structure Best Practices

Django Framework

Master Django project structure with best practices to enhance maintainability, scalability, and team collaboration. Learn standard layouts and expert tips.

For Loops in Python

For Loops in Python

Basics of Python

Python for loops are essential for iterating over sequences like lists, strings, and dictionaries, making repetitive tasks efficient and straightforward for beginners.

Installing Django on Windows, macOS, and Linux

Installing Django on Windows, macOS, and Linux

Django Framework

Learn how to install Django on Windows, macOS, or Linux, ensuring Python 3.8+ is installed first. Follow straightforward steps to start building powerful web applications.