Getting Started with Processing.py: Making Interactive Graphics with Processing's Python Mode

Description

Processing opened up the world of programming to artists, designers, educators, and beginners. The Processing.py Python implementation of Processing reinterprets it for today's web. This short book gently introduces the core concepts of computer programming and working with Processing. Written by the co-founders of the Processing project, Reas and Fry, along with co-author Allison Parrish, Getting Started with Processing.py is your fast track to using Python's Processing mode.

Get the book

Amazon.com

Search the book

eBay.com

Search the book

Similar books

• 

  Getting Started With Processing.py: Making Interactive Graphics With Python's Processing Mode

  By Casey Reas, Ben Fry, Allison Parrish

  The Processing.py Python implementation of Processing reinterprets it for today's web. This short book gently introduces the core concepts of computer programming and working with Processing.

• 

  Getting Started with Processing: A Hands-On Introduction to Making Interactive Graphics

  By Casey Reas, Ben Fry

  Processing opened up the world of programming to artists, designers, educators, and beginners. This short book gently introduces the core concepts of computer programming and working with Processing.

• 

  Processing, second edition: A Programming Handbook for Visual Designers and Artists

  By Casey Reas, Ben Fry

  Tutorial chapters make up the bulk of the book; advanced professional projects from such domains as animation, performance, and installation are discussed in interviews with their creators. This second edition has been thoroughly updated.

• 

  Learning Processing: A Beginner's Guide to Programming Images, Animation, and Interaction

  By Daniel Shiffman

  Requiring no previous experience, this book is for the true programming beginner.

• 

  Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit

  By Steven Bird, Ewan Klein, Edward Loper

  This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.

• 

  Text Processing in Python

  By David Mertz

  A companion Web site (http: //gnosis.cx/TPiP) contains source code and examples from the book. Here is some of what you will find in thie book: When do I use formal parsers to process structured and semi-structured data?

• 

  Learn Python Visually: Creative Coding with Processing.py

  By Tristan Bunn

  You’ll learn about: Basic coding theories and concepts, like variables, data types, pixel coordinates, control flow and algorithms Writing code that produces drawings, patterns, animations, data visualizations, user interfaces, and ...

• 

  Think DSP: Digital Signal Processing in Python

  By Allen B. Downey

  Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material.

• 

  Natural Language Processing with Python Quick Start Guide: Going from a Python developer to an effective Natural Language Processing Engineer

  By Nirant Kasliwal

  With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data.

• 

  Hands-On Image Processing with Python: Expert techniques for advanced image analysis and effective interpretation of image data

  By Sandipan Dey

  This book will touch the core of image processing, from concepts to code using Python.