"This advanced undergraduate textbook provides a practical, pedagogical lead introduction to utilizing Python for Mathematical Physics and Computational Physics courses. Both analytical and computational example problems are integrated from its start, in addition to featuring end of chapter problems, designed to help students hone their skills in mathematical physics techniques, computer programming, and in numerical analysis. It places much less emphasis on mathematical proofs, and more emphasis on how to use computers for both numerical and symbolic calculations. This book will, therefore, provide both students and instructors with a clear presentation of the typical topics covered in a Mathematical Physics course and will present an accessible and practical instruction on how to use computational techniques to solve physics problems, by using the Python programming language. Students using the textbook will solve physics problems in three different ways: (a) Using the traditional pen-and-paper methods (b) Using scientific numerical techniques with the Python packages NumPy and SciPy (c) Using the Symbolic Python packages (e.g. SymPy). The book is accompanied by a dedicated GitHub website, which will contain all sample code used in the examples. In the same website, links will be provided for the many available resources online that a student can use in order to learn about specific Python topics. A solutions manual is also available for instructors using the textbook in their course"--