Python Programming in Context. 4 Ed

Коротко и по делу о том, что важно знать про python.

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. Python Programming in Context, Fourth Edition provides a comprehensive and accessible introduction to Python fundamentals. 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. 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. 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. While students solve problems of general interest, language elements are introduced with deliberate and incremental exposure to the fundamentals. Interested in seeing what Professor Brahima Mbodje, Director of Cybersecurity Programs at Clinton College, had to say about this textbook? Python Programming in Context, Fourth Edition is the ideal introductory text for those learning the Python language. Check out his review of the Fourth Edition here. Completely UPDATED with the most up-to-date version of Python 3.10"Good Programming Practice" boxes that provide problem-solving strategies, as well as tips for writing readable and maintainable code."Recap" boxes summarize important concepts."Heads Up" boxes alert students to possible pitfalls, and provide techniques for avoiding errors.Python code is color-coded so students can better see syntax elements.Available to be bundled with Cloud Desktop for Python Programming, 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.All sessions and listings in the book have been written using the popular and freely available Jupyter Notebook.Instructor Resources include answers to chapter exercises, a test bank, and lecture outlines in PowerPoint format.

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