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 will introduce you to Python tools you can use in
your scientific research including Anaconda Spyder Jupyter Notebooks JupyterLab and
numerous Python libraries. You’ll learn to use Python for tasks such as creating visualizations
representing geospatial information simulating natural events and manipulating numerical
data. Once you’ve built an optimal programming environment with Anaconda you’ll learn how to
organize your projects and use interpreters text editors notebooks and development
environments to work with your code. Following the book’s fast-paced Python primer you’ll tour
a range of scientific tools and libraries like scikit-learn and seaborn that you can use to
manipulate and visualize your data or analyze it with machine learning algorithms. You’ll
also learn how to: Create isolated projects in virtual environments build interactive
notebooks test code in the Qt console and use Spyder’s interactive development features Use
Python’s built-in data types write custom functions and classes and document your code
Represent data with the essential NumPy Matplotlib and pandas libraries Use Python plotting
libraries like Plotly HoloViews and Datashader to handle large datasets and create 3D
visualizations Regardless of your scientific field Python Tools for Scientists will show you
how to choose the best tools to meet your research and computational analysis needs.
