Python for Scientists. 3 Ed

Ниже — практический обзор по теме «python».

The notebooks are available online with executable versions of all of the book's content (and more). The third edition of this practical introduction to Python has been thoroughly updated, with all code migrated to Jupyter notebooks. The text starts with a detailed introduction to the basics of the Python language, without assuming any prior knowledge. Further new material includes guidelines for writing efficient Python code and publishing code for other users. 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). 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.

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