Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries

An  introduction to the Python programming language and its most popular  tools for scientists, engineers, students, and anyone who wants to use  Python for research, simulations, and collaboration.

Python Tools for Scientists 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 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.