CodeStips

Python

Creating New Features in pandas

Data Analysis & Visualization

Learn essential pandas techniques for generating new features from raw data to enhance data analysis and machine learning models.

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

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 Serialization with JSON Module

Libraries & Frameworks

JSON is essential for Python data serialization, enabling storage and transmission of structured data in a universally readable format.

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

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 Blog Project Tutorial

Django Framework

Learn to build a full blog using Django, covering setup, models, views, templates, and user interaction. Step-by-step instructions included.

Django Real-Time Chat App Project

Django Framework

Learn how to build a real-time chat app with Django. This guide covers setting up real-time messaging, integrating with modern web technologies, and creating responsive applications from scratch.

Django Templates Introduction

Django Framework

Django templates are HTML files with dynamic syntax that generate content from your database, serving as the presentation layer for your web app’s user interface.

Exception Handling in CSV Files

Error Handling & Exceptions in Python

Learn effective exception handling techniques for managing messy CSV data in Python, dealing with missing values, encoding issues, and unexpected formats.