| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046095430 | |
| 005 | 20211007170234 | |
| 008 | 211007s2021 enka 001 0 eng d | |
| 020 | ▼a 9780128195499 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 005.1330245 ▼2 23 |
| 084 | ▼a 005.1330245 ▼2 DDCK | |
| 090 | ▼a 005.1330245 ▼b K82p | |
| 100 | 1 | ▼a Kong, Qingkai. |
| 245 | 1 0 | ▼a Python programming and numerical methods : ▼b a guide for engineers and scientists / ▼c Qingkai Kong, Timmy Siauw, Alexandre M. Bayen. |
| 260 | ▼a London : ▼b Elsevier Science, ▼c c2021. | |
| 300 | ▼a xxiv, 456 p. : ▼b ill. ; ▼c 24 cm. | |
| 500 | ▼a Includes index. | |
| 700 | 1 | ▼a Siauw, Timmy. |
| 700 | 1 | ▼a Bayen, Alexandre M. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 005.1330245 K82p | 등록번호 121258238 (2회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level to allow the students to quickly apply results in practical settings.SPECIFIC PUBLICITY AND CHANNEL OPPORTUNITIESNotes for completion Focused publicity or channel marketing opportunities specific to this project or cluster. Can be left empty if nothing new to highlight.PRIOR EDITION SALES HISTORYn/a
- Tips, warnings, and "try this" features within each chapter help the reader develop good programming practices
- Chapter summaries, key terms, and functions and operators lists at the end of each chapter allow for quick access to important information
- At least three different types of end of chapter exercises - thinking, writing, and coding - let you assess your understanding and practice what you've learned
- All of the code in the book is in Jupyter notebook format that can run directly online
정보제공 :
목차
PART 1 INTRODUCTION TO PYTHON PROGRAMMING CHAPTER 1 Python Basics CHAPTER 2 Variables and Basic Data Structures CHAPTER 3 Functions CHAPTER 4 Branching Statements CHAPTER 5 Iteration CHAPTER 7 Object-Oriented Programming CHAPTER 8 Complexity CHAPTER 9 Representation of Numbers CHAPTER 10 Errors, Good Programming Practices, and Debugging CHAPTER 11 Reading and Writing Data CHAPTER 12 Visualization and Plotting CHAPTER 13 Parallelize Your Python PART 2 INTRODUCTION TO NUMERICAL METHODS CHAPTER 14 Linear Algebra and Systems of Linear Equations CHAPTER 15 Eigenvalues and Eigenvectors CHAPTER 16 Least Squares Regression CHAPTER 17 Interpolation CHAPTER 18 Taylor Series CHAPTER 19 Root Finding CHAPTER 20 Numerical Differentiation CHAPTER 21 Numerical Integration CHAPTER 22 Ordinary Differential Equations (ODEs) Initial-Value Problems CHAPTER 23 Boundary-Value Problems for Ordinary Differential Equations (ODEs) CHAPTER 24 Fourier Transform