Embark on a comprehensive 4-hour journey exploring Python projects suitable for beginners in 2024. Dive into data visualization techniques using IPL, FIFA, and superhero datasets. Master exploratory data analysis and learn to manipulate census data effectively. Apply logistic regression in Python and create an engaging Chrome Dino game from scratch. Discover mobile app development with Kivy, learning to add labels, textboxes, and buttons. Conclude with web development using Django, building a project with form elements. Gain practical experience across diverse Python applications, from data analysis to game and web development, preparing you for real-world programming challenges.
Overview
Syllabus
- Introduction
- Importance of Python Projects
- Data Visualization on IPL Data
- EDA on FIFA Dataset
- EDA on Superhero Dataset
- Detailed Analysis on IPL Data set
- Detailed Analysis on Categorical Variables of Census Data
- Renaming of Columns on Census Data
- Extracting individual Columns on Census Data
- Data Visualization on Census Data
- Logistic Regression using Python
- Chrome Dino Game in Python
- Creating Class Dino for Chrome Dino Game
- Creating Class Flying Dino for Chrome Dino Game
- Creating Obstacle, Floor Classes for Chrome Dino Game
- Chrome Dino Game Output
- Introduction to Kivy
- Installation of Kivy
- Adding labels to App
- Adding textboxes to App
- Adding buttons to App
- Django Installation
- Django Project using Form Elements
- Output of the Django project
- Summary
Taught by
Great Learning
