Lee Vaughan – författare

Impractical Python picks up where the complete beginners book leaves off, expanding on existing concepts and introducing new tools and techniques that you'll use every day. Just flip to any page, cookbook-style, and test your skills with software design, code optimization, and debugging. To keep thing interesting, each project includes a zany twist featuring historical incidents, pop culture, literature, comics, and the purely scientific.

Impractical Python is a collection of fun and educational projects designed to entertain programmers while enhancing their Python skills. It picks up where the complete beginner books leave off, expanding on existing concepts and introducing new tools that you''ll use every day. And to keep things interesting, each project includes a zany twist featuring historical incidents, pop culture references, and literary allusions.You''ll flex your problem-solving skills and employ Python''s many useful libraries to do things like:- Help James Bond crack a high-tech safe with a hill-climbing algorithm- Write haiku poems using Markov Chain Analysis- Use genetic algorithms to breed a race of gigantic rats- Crack the world''s most successful military cipher using cryptanalysis- Model the Milky Way and calculate our odds of detecting alien civilizations- Plan your parents'' secure retirement with Monte Carlo simulationSimulate volcanoes, map Mars, and more, all while gaining valuable experience using free modules like Tkinter, Cprofile, Pylint, Pygame, Pillow, and Python-Docx.Whether you''re looking to pick up some new Python skills or just need a pick-me-up, you''ll find endless educational, geeky fun with Impractical Python.

Real World Python is a collection of worked projects for readers who know some basic Python and want to do something with their knowledge. The book's short projects all teach thought processes and problem-solving as well as coding syntax. Readers learn to think their way through challenges like predicting the location of sailors lost at sea, discovering new planets, determining the author of a novel, selecting candidate landing sites for a Mars rover, programming a robot sentry gun to detect and shoot aliens (not humans), and more.

Doing Science With Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required! You'll be guided through setting up a professional coding environment, then get a crash course on programming with Python, and explore the many tools and libraries ideal for working with data, designing visualisations, simulating natural events, and more.