Product details:
| ISBN13: | 9783031497797 |
| ISBN10: | 3031497791 |
| Binding: | Paperback |
| No. of pages: | 250 pages |
| Size: | 235x155 mm |
| Weight: | 493 g |
| Language: | English |
| Illustrations: | 5 Illustrations, black & white; 91 Illustrations, color |
| 668 |
Category:
Probability and mathematical statistics
Mathematical Theory of computing
Additional devices
Further readings in mathematics
Probability and mathematical statistics (charity campaign)
Mathematical Theory of computing (charity campaign)
Additional devices (charity campaign)
Further readings in mathematics (charity campaign)
A Course in Python
The Core of the Language
Edition number: 1st ed. 2023
Publisher: Springer
Date of Publication: 5 January 2024
Number of Volumes: 1 pieces, Book
Normal price:
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EUR 53.49
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17 658 (16 817 HUF + 5% VAT )
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Discount is valid until: 30 June 2024
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Short description:
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.
Long description:
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.
Table of Contents:
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.