Course Outline

Introduction

  • Overview of PyGame features and components
  • PyGame and Python basics

Getting Started

  • Installing PyGame on different platforms (Windows, Mac, Linux, etc.)
  • Initializing modules

Creating a PyGame Application

  • Setting display modes (color, background, etc.)
  • Exploring bouncing ball game
  • Moving and animating objects
  • Importing images and music
  • Using Blit and Flip
  • Creating a Game Over screen

Expanding Game Options

  • Adding game reset, scoring, and randomizing
  • Handling events
  • Using sprite and camera modules
  • Adding custom effects and filters
  • Exploring other game examples

Building and Testing a PyGame Application

  • Running the PyGame test suite
  • Converting PyGame into an executable file

Troubleshooting

Summary and Next Steps

Requirements

  • Familiarity with Python programming.

Audience

  • Developers
  7 Hours
 

Testimonials

Related Courses

Programming for Biologists

 28 hours

This is a practical course, which shows why programming is a powerful tool in the context of solving biological problems. During the course participants will be taught the Python programming language, a language widely considered both powerful as

Python for Natural Language Generation

 21 hours

Natural language generation (NLG) refers to the production of natural language text or speech by a computer. In this instructor-led, live training, participants will learn how to use Python to produce high-quality natural language text by

Advanced Python - 4 Days

 28 hours

In this instructor-led, live training, participants will learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI

Python: Automate the Boring Stuff

 14 hours

This instructor-led, live training is based on the popular book, "Automate the Boring Stuff with Python", by Al Sweigart. It is aimed at beginners and covers essential Python programming concepts through practical, hands-on exercises and

Machine Learning for Banking (with Python)

 21 hours

Machine Learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Python is a programming language famous for its clear syntax and readability. It offers an excellent collection

Python: Machine Learning with Text

 21 hours

In this instructor-led, live training, participants will learn how to use the right machine learning and NLP (Natural Language Processing) techniques to extract value from text-based data. By the end of this training, participants will be able

Machine Learning with Python – 2 Days

 14 hours

The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course

Machine Learning with Python – 4 Days

 28 hours

The aim of this course is to provide general proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course

Natural Language Processing with Python

 28 hours

This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this

Natural Language Processing with Deep Dive in Python and NLTK

 35 hours

By the end of the training the delegates are expected to be sufficiently equipped with the essential python concepts and should be able to sufficiently use NLTK to implement most of the NLP and ML based operations. The training is aimed at giving

Python Programming - 4 days

 28 hours

This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community.

BDD with Python and Behave

 7 hours

Behave is an open-source, Python-based BDD framework for writing tests in a natural language style. BDD, or Behavior Driven Development, is an agile software development technique that encourages collaboration among developers, QA and

Test Automation with Selenium and Python

 14 hours

Selenium is an open source library for automating web application testing across multiple browsers. Selenium interacts with a browser as people do: by clicking links, filling out forms and validating text. It is the most popular tool for web

Advanced Machine Learning with Python

 21 hours

In this instructor-led, live training, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data. By the end of

Unit Testing with Python

 21 hours

Unit Testing is a testing approach that tests individual units of source code by modifying their properties or triggering an event to confirm whether the outcome is as expected. PyTest is a full-featured, API-independent, flexible, and extensible