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Python Tools for Scientists introduces you 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 set up a professional programming environment, receive a crash course on programming with Python, and tour the many tools and libraries available for working with data, creating visualizations, simulating natural events, and more. In the book's applied projects, you'll use these tools to write programs that perform tasks like simulating globular star clusters, building ships for a wargame simulator, creating an interactive science slideshow, and classifying animal species