Python for Scientists

Learn Python starting from the very basics all the way to numerical and symbolic math, quantitative analysis, and beyond.

A comprehensive introduction to the Python programming language, this updated edition is supported by Jupyter notebooks containing executable versions of all of the book's content. By starting with the very basics and covering a wide range of advanced topics, it represents a useful resource for students, researchers, and professionals alike.The third edition of this practical introduction to Python has been thoroughly updated, with all code migrated to Jupyter notebooks. The notebooks are available online with executable versions of all of the book's content (and more). The text starts with a detailed introduction to the basics of the Python language, without assuming any prior knowledge. Building upon each other, the most important Python packages for numerical math (NumPy), symbolic math (SymPy), and plotting (Matplotlib) are introduced, with brand new chapters covering numerical methods (SciPy) and data handling (Pandas). Further new material includes guidelines for writing efficient Python code and publishing code for other users. Simple and concise code examples, revised for compatibility with Python 3, guide the reader and support the learning process throughout the book. Readers from all of the quantitative sciences, whatever their background, will be able to quickly acquire the skills needed for using Python effectively.