Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/1379
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nagar, Sandeep. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:28:18Z | - |
dc.date.available | 2020-05-17T08:28:18Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484232040 ; | en_US |
dc.identifier.isbn | 9781484232033 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1379 | - |
dc.description | en_US | |
dc.description | QA76 | en_US |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | Printed edition: ; 9781484232033. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | Familiarize yourself withethe basics of Python for engineering and scientific computationseusing this concise, practical tutorial that is focused on writing code to learn concepts.eIntroduction to Pythoneis useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First youeell see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.e You will: Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops. ; | en_US |
dc.description.statementofresponsibility | by Sandeep Nagar. | en_US |
dc.description.tableofcontents | 1. Philosophy of Python -- 2. Introduction to the Basics of Python -- 3. Ipython -- 4. Data Types -- 5. Operators -- 6. Arrays -- 7. Plotting -- 8. Functions and Loops -- 9. Object-Oriented Programming -- 10. Numerical Computing Formalism. ; | en_US |
dc.format.extent | XVII, 254 p. 30 illus. in color. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484232033.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Programming | en_US |
dc.subject | Programming Languages and Electronic Computers | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Python. ; | en_US |
dc.subject | Programming Techniques | en_US |
dc.subject | Programming Languages and Compilers and Interpreters | en_US |
dc.title | Introduction to Python for Engineers and Scientists | en_US |
dc.title.alternative | Open Source Solutions for Numerical Computation / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484232033.pdf | 2.97 MB | Adobe PDF | Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nagar, Sandeep. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:28:18Z | - |
dc.date.available | 2020-05-17T08:28:18Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484232040 ; | en_US |
dc.identifier.isbn | 9781484232033 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1379 | - |
dc.description | en_US | |
dc.description | QA76 | en_US |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | Printed edition: ; 9781484232033. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | Familiarize yourself withethe basics of Python for engineering and scientific computationseusing this concise, practical tutorial that is focused on writing code to learn concepts.eIntroduction to Pythoneis useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First youeell see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.e You will: Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops. ; | en_US |
dc.description.statementofresponsibility | by Sandeep Nagar. | en_US |
dc.description.tableofcontents | 1. Philosophy of Python -- 2. Introduction to the Basics of Python -- 3. Ipython -- 4. Data Types -- 5. Operators -- 6. Arrays -- 7. Plotting -- 8. Functions and Loops -- 9. Object-Oriented Programming -- 10. Numerical Computing Formalism. ; | en_US |
dc.format.extent | XVII, 254 p. 30 illus. in color. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484232033.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Programming | en_US |
dc.subject | Programming Languages and Electronic Computers | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Python. ; | en_US |
dc.subject | Programming Techniques | en_US |
dc.subject | Programming Languages and Compilers and Interpreters | en_US |
dc.title | Introduction to Python for Engineers and Scientists | en_US |
dc.title.alternative | Open Source Solutions for Numerical Computation / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484232033.pdf | 2.97 MB | Adobe PDF | Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nagar, Sandeep. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:28:18Z | - |
dc.date.available | 2020-05-17T08:28:18Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484232040 ; | en_US |
dc.identifier.isbn | 9781484232033 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1379 | - |
dc.description | en_US | |
dc.description | QA76 | en_US |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | Printed edition: ; 9781484232033. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | Familiarize yourself withethe basics of Python for engineering and scientific computationseusing this concise, practical tutorial that is focused on writing code to learn concepts.eIntroduction to Pythoneis useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First youeell see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.e You will: Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops. ; | en_US |
dc.description.statementofresponsibility | by Sandeep Nagar. | en_US |
dc.description.tableofcontents | 1. Philosophy of Python -- 2. Introduction to the Basics of Python -- 3. Ipython -- 4. Data Types -- 5. Operators -- 6. Arrays -- 7. Plotting -- 8. Functions and Loops -- 9. Object-Oriented Programming -- 10. Numerical Computing Formalism. ; | en_US |
dc.format.extent | XVII, 254 p. 30 illus. in color. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484232033.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Programming | en_US |
dc.subject | Programming Languages and Electronic Computers | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Python. ; | en_US |
dc.subject | Programming Techniques | en_US |
dc.subject | Programming Languages and Compilers and Interpreters | en_US |
dc.title | Introduction to Python for Engineers and Scientists | en_US |
dc.title.alternative | Open Source Solutions for Numerical Computation / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484232033.pdf | 2.97 MB | Adobe PDF | Preview File |