This textbook introduces Python and its programming through a multitude of clearly presented examples and worked-out exercises.
Based on a course taught to undergraduate students of mathematics, science, engineering and finance, the book includes chapters on handling data, calculus, solving equations, and graphics, thus covering all of the basic topics in Python. Each section starts with a description of a new topic and some basic examples. The author then demonstrates the new concepts through worked out exercises. The intention is to enable the reader to learn from the codes, thus avoiding lengthy, exhausting explanations. With its strong focus on programming and problem solving, and an emphasis on numerical problems that do not require advanced mathematics, this textbook is also ideal for self-study, for instance for researchers who wish to use Python as a computational tool.

A hands-on introduction to Python, ideal for a first course or self-study Provides numerous worked-out exercises showing how to write programs in Python Includes several case studies with code, as well as practice problems

Autorentext

Roozbeh Hazrat is a Professor of Pure Mathematics at Western Sydney University. He has taught computer programming since early 1990s when he was an undergraduate and codes were written on blackboards. He has continued teaching programming at Queen's University United Kingdom, Western Sydney University, and has run crash courses for the Reserve Bank of Australia and other financial institutions. Besides his many journal publications in pure mathematics, he is the author of the textbook Mathematica: A Problem-Centred Approach.

Klappentext

This textbook introduces Python and its programming through a multitude of clearly presented examples and worked-out exercises. Based on a course taught to undergraduate students of mathematics, science, engineering and finance, the book includes chapters on handling data, calculus, solving equations, and graphics, thus covering all of the basic topics in Python. Each section starts with a description of a new topic and some basic examples. The author then demonstrates the new concepts through worked out exercises. The intention is to enable the reader to learn from the codes, thus avoiding lengthy, exhausting explanations. With its strong focus on programming and problem solving, and an emphasis on numerical problems that do not require advanced mathematics, this textbook is also ideal for self-study, for instance for researchers who wish to use Python as a computational tool.

Inhalt
1 Basics of Python.- 2 Lists and Tuples.- 3 Decisions and Repetitions.- 4 Functions.- 5 List Comprehension and Generators.- 6 The sympy Library.- 7 The numpy Library .- 8 The matplotlib Library and Projects.