Python Programming in Context Cloud Desktop

Explore Python fundamentals through projects that blend design strategy and active problem-solving across domains like image processing, cryptography, astronomy and bioinformatics. Gradually introducing language elements, the text promotes independent learning and a solid foundation for scientific computing.

Python Programming in Context, Fourth Edition provides a comprehensive and accessible introduction to Python fundamentals. Updated with Python 3.10, the Fourth Edition offers a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Taking an active learning approach, each chapter starts with a comprehensive real-world project that teaches core design techniques and Python programming to immediately engage students. An ideal first language for learners entering the rapidly expanding fields of computer science, data science, and scientific programing, Python gives students a solid platform of key problem-solving skills that translate easily across programming languages. This text is designed to be a first course in computer science that focuses on problem-solving, with language features being introduced as needed to solve the problem at hand.

The Fourth Edition's emphasis on problem-solving, extrapolation, and the development of independent exploration and solution-building provides students with a unique and innovative approach to learning programming. While students solve problems of general interest, language elements are introduced with deliberate and incremental exposure to the fundamentals. Python Programming in Context, Fourth Edition is the ideal introductory text for those learning the Python language.

This bundle includes Cloud Desktop for Python Programming in Context, an on-demand virtual Windows workstation for students to learn programming using either the practice exercises in the textbook or projects assigned by the instructor. With Python 3.10, Python's Integrated Development and Learning Environment (IDLE), and the textbook's source code all pre-installed on the virtual machine Cloud Desktop, students can begin programming with Python on day one, without any need for installing software on their local machines. Cloud Desktop for Python runs on any major web browser with no installation required and is accessible on demand through LMS integration. Cloud Desktop also provides access to a powerful instructor dashboard that allows instructors to join active student sessions and monitor how much time students are spending in Cloud Desktop.