Posted by **Free butterfly** at May 4, 2022

English | 2022 | ISBN: N/A | ASIN: B09Y3MKVD3 | 645 pages | EPUB | 3.39 Mb

Posted by **hill0** at Feb. 5, 2017

English | 4 Aug. 2016 | ISBN: 3319324276 | 250 Pages | EPUB | 3.28 MB

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.

Posted by **AvaxGenius** at Oct. 30, 2019

English | EPUB | 2020 | 332 Pages | ISBN : 303016876X | 28.55 MB

This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages.

Posted by **AvaxGenius** at Dec. 8, 2019

English | PDF | 2016 | 232 Pages | ISBN : 3319324276 | 4.37 MB

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.

Posted by **arundhati** at Oct. 30, 2019

English | ISBN: 303016876X | 2020 | 332 pages | PDF | 7 MB

Posted by **igor_lv** at April 15, 2019

English | EPUB | 2016 | 250 Pages | ISBN : 3319324276 | 3.28 MB

Posted by **AvaxGenius** at Sept. 2, 2018

English | EPUB | 2016 | 228 Pages | ISBN : 3319324519 | 3.16 MB

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.

Posted by **AvaxGenius** at Feb. 5, 2017

English | PDF | 228 Pages | 2016 | ISBN : 3319324519 | 4.12 MB

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python.

Posted by **hill0** at Feb. 5, 2017

English | 10 Aug. 2016 | ISBN: 3319324519 | 234 Pages | EPUB | 3.16 MB

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.

Posted by **AvaxGenius** at Sept. 30, 2018

English | EPUB | 2016 | 228 Pages | ISBN : 3319324519 | 3.16 MB

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.