An introduction to Python programming for scientists and engineers:
"Most introductory programming textbooks are written with the assumption that the student thinks like a computer scientist. That is, writers assume that the student best learns programming by focusing on the structure and syntax of programming languages. The result is an introductory textbook t...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York ; Melbourne ; New Delhi ; Singapore
Cambridge University Press
2022
|
| Schlagworte: | |
| Zusammenfassung: | "Most introductory programming textbooks are written with the assumption that the student thinks like a computer scientist. That is, writers assume that the student best learns programming by focusing on the structure and syntax of programming languages. The result is an introductory textbook that teaches programming in a way that is accessible to future programmers and developers but not as much to scientists or engineers who mainly want to investigate scientific problems. This textbook is written to teach programming to scientists and engineers, not to computer scientists. We assume that the reader has no background, formal or informal, in computer programming. It is organized around a scientist or engineer's workflow. What are the tasks of a scientist or engineer that a computer can help with? Doing calculations (e.g., Chapters 1 and 6), making a plot (e.g., Chapters 4 and 5), handling missing data (e.g., Chapter 15), and saving and storing data (e.g., Chapters 9 and 18) are just a few of the tasks we address. It teaches programming, not numerical methods, statistics, data analytics, or image processing. The level of math that the reader needs is modest so the text is accessible to a first-year college student. It provides examples pertinent to the natural sciences and engineering. Jupyter notebooks associated with this textbook provide structured practice using examples from physics, chemistry, and biology, and additional notebooks for engineering are planned. For instance, the physics notebooks include problems dealing with electromagnetic fields, optics, and gravitational acceleration. Syntax is secondary. The primary goal is to teach the student how to use Python to do scientific and engineering work. Thus, we teach as much language syntax and structure as needed to do a task. Later, as we address more complex science and engineering tasks, we teach additional aspects of language syntax and structure. As a result, this textbook is not intended as a Python language reference where all (or most) of the aspects of a given feature of the language are addressed at the same time. It is paced for the beginner. This text offers many examples, explanations, and opportunities to practice.We take things slowly because learning is a step-by-step process, not a toss-intothe- deep-end process. As a result, this text is not concise, particularly"-- |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xxx, 735 Seiten Illustrationen, Diagramme |
| ISBN: | 9781108701129 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV048325724 | ||
| 003 | DE-604 | ||
| 005 | 20230220 | ||
| 007 | t| | ||
| 008 | 220712s2022 xxka||| |||| 00||| eng d | ||
| 020 | |a 9781108701129 |q paperback |9 978-1-108-70112-9 | ||
| 035 | |a (OCoLC)1309097276 | ||
| 035 | |a (DE-599)KXP1795036257 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxk |c XA-GB | ||
| 049 | |a DE-92 |a DE-706 |a DE-1050 |a DE-20 |a DE-703 |a DE-19 |a DE-188 |a DE-355 | ||
| 082 | 0 | |a 005.13/3 | |
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 100 | 1 | |a Lin, Johnny Wei-Bing |d 1972- |e Verfasser |0 (DE-588)1268541915 |4 aut | |
| 245 | 1 | 0 | |a An introduction to Python programming for scientists and engineers |c Johnny Wei-Bing Lin (University of Washington Bothell and North Park University), Hannah Aizenman (City College of New York), Erin Manette Cartas Espinel (Envestnet Tamarac), Kim Gunnerson (University of Washington Bothell), Joanne Liu (Novozymes A/S) |
| 264 | 1 | |a Cambridge ; New York ; Melbourne ; New Delhi ; Singapore |b Cambridge University Press |c 2022 | |
| 300 | |a xxx, 735 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 520 | 3 | |a "Most introductory programming textbooks are written with the assumption that the student thinks like a computer scientist. That is, writers assume that the student best learns programming by focusing on the structure and syntax of programming languages. The result is an introductory textbook that teaches programming in a way that is accessible to future programmers and developers but not as much to scientists or engineers who mainly want to investigate scientific problems. This textbook is written to teach programming to scientists and engineers, not to computer scientists. We assume that the reader has no background, formal or informal, in computer programming. It is organized around a scientist or engineer's workflow. | |
| 520 | 3 | |a What are the tasks of a scientist or engineer that a computer can help with? Doing calculations (e.g., Chapters 1 and 6), making a plot (e.g., Chapters 4 and 5), handling missing data (e.g., Chapter 15), and saving and storing data (e.g., Chapters 9 and 18) are just a few of the tasks we address. It teaches programming, not numerical methods, statistics, data analytics, or image processing. The level of math that the reader needs is modest so the text is accessible to a first-year college student. It provides examples pertinent to the natural sciences and engineering. Jupyter notebooks associated with this textbook provide structured practice using examples from physics, chemistry, and biology, and additional notebooks for engineering are planned. For instance, the physics notebooks include problems dealing with electromagnetic fields, optics, and gravitational acceleration. Syntax is secondary. | |
| 520 | 3 | |a The primary goal is to teach the student how to use Python to do scientific and engineering work. Thus, we teach as much language syntax and structure as needed to do a task. Later, as we address more complex science and engineering tasks, we teach additional aspects of language syntax and structure. As a result, this textbook is not intended as a Python language reference where all (or most) of the aspects of a given feature of the language are addressed at the same time. It is paced for the beginner. This text offers many examples, explanations, and opportunities to practice.We take things slowly because learning is a step-by-step process, not a toss-intothe- deep-end process. As a result, this text is not concise, particularly"-- | |
| 650 | 0 | 7 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Python (Computer program language) | |
| 653 | 0 | |a Computer programming | |
| 653 | 0 | |a Engneering / Data processing | |
| 653 | 0 | |a SCIENCE / Earth Sciences / General | |
| 689 | 0 | 0 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Aizenman, Hannah |d 1987- |e Verfasser |0 (DE-588)1268543225 |4 aut | |
| 700 | 1 | |a Espinel, Erin Manette Cartas |d 1965- |e Verfasser |0 (DE-588)1268543616 |4 aut | |
| 700 | 1 | |a Gunnerson, Kim |d 1965- |e Verfasser |0 (DE-588)1268543896 |4 aut | |
| 700 | 1 | |a Liu, Joanne |e Verfasser |0 (DE-588)1268544310 |4 aut | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033705009 | |
Datensatz im Suchindex
| _version_ | 1815702936604377088 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Lin, Johnny Wei-Bing 1972- Aizenman, Hannah 1987- Espinel, Erin Manette Cartas 1965- Gunnerson, Kim 1965- Liu, Joanne |
| author_GND | (DE-588)1268541915 (DE-588)1268543225 (DE-588)1268543616 (DE-588)1268543896 (DE-588)1268544310 |
| author_facet | Lin, Johnny Wei-Bing 1972- Aizenman, Hannah 1987- Espinel, Erin Manette Cartas 1965- Gunnerson, Kim 1965- Liu, Joanne |
| author_role | aut aut aut aut aut |
| author_sort | Lin, Johnny Wei-Bing 1972- |
| author_variant | j w b l jwb jwbl h a ha e m c e emc emce k g kg j l jl |
| building | Verbundindex |
| bvnumber | BV048325724 |
| classification_rvk | ST 250 |
| ctrlnum | (OCoLC)1309097276 (DE-599)KXP1795036257 |
| dewey-full | 005.13/3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.13/3 |
| dewey-search | 005.13/3 |
| dewey-sort | 15.13 13 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV048325724</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230220</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">220712s2022 xxka||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108701129</subfield><subfield code="q">paperback</subfield><subfield code="9">978-1-108-70112-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1309097276</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1795036257</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxk</subfield><subfield code="c">XA-GB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-92</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-355</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.13/3</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lin, Johnny Wei-Bing</subfield><subfield code="d">1972-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1268541915</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An introduction to Python programming for scientists and engineers</subfield><subfield code="c">Johnny Wei-Bing Lin (University of Washington Bothell and North Park University), Hannah Aizenman (City College of New York), Erin Manette Cartas Espinel (Envestnet Tamarac), Kim Gunnerson (University of Washington Bothell), Joanne Liu (Novozymes A/S)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge ; New York ; Melbourne ; New Delhi ; Singapore</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xxx, 735 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">"Most introductory programming textbooks are written with the assumption that the student thinks like a computer scientist. That is, writers assume that the student best learns programming by focusing on the structure and syntax of programming languages. The result is an introductory textbook that teaches programming in a way that is accessible to future programmers and developers but not as much to scientists or engineers who mainly want to investigate scientific problems. This textbook is written to teach programming to scientists and engineers, not to computer scientists. We assume that the reader has no background, formal or informal, in computer programming. It is organized around a scientist or engineer's workflow.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">What are the tasks of a scientist or engineer that a computer can help with? Doing calculations (e.g., Chapters 1 and 6), making a plot (e.g., Chapters 4 and 5), handling missing data (e.g., Chapter 15), and saving and storing data (e.g., Chapters 9 and 18) are just a few of the tasks we address. It teaches programming, not numerical methods, statistics, data analytics, or image processing. The level of math that the reader needs is modest so the text is accessible to a first-year college student. It provides examples pertinent to the natural sciences and engineering. Jupyter notebooks associated with this textbook provide structured practice using examples from physics, chemistry, and biology, and additional notebooks for engineering are planned. For instance, the physics notebooks include problems dealing with electromagnetic fields, optics, and gravitational acceleration. Syntax is secondary.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">The primary goal is to teach the student how to use Python to do scientific and engineering work. Thus, we teach as much language syntax and structure as needed to do a task. Later, as we address more complex science and engineering tasks, we teach additional aspects of language syntax and structure. As a result, this textbook is not intended as a Python language reference where all (or most) of the aspects of a given feature of the language are addressed at the same time. It is paced for the beginner. This text offers many examples, explanations, and opportunities to practice.We take things slowly because learning is a step-by-step process, not a toss-intothe- deep-end process. As a result, this text is not concise, particularly"--</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Computer programming</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Engneering / Data processing</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">SCIENCE / Earth Sciences / General</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Aizenman, Hannah</subfield><subfield code="d">1987-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1268543225</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Espinel, Erin Manette Cartas</subfield><subfield code="d">1965-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1268543616</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gunnerson, Kim</subfield><subfield code="d">1965-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1268543896</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Joanne</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1268544310</subfield><subfield code="4">aut</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033705009</subfield></datafield></record></collection> |
| id | DE-604.BV048325724 |
| illustrated | Illustrated |
| index_date | 2024-07-03T20:13:00Z |
| indexdate | 2024-11-14T13:00:56Z |
| institution | BVB |
| isbn | 9781108701129 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033705009 |
| oclc_num | 1309097276 |
| open_access_boolean | |
| owner | DE-92 DE-706 DE-1050 DE-20 DE-703 DE-19 DE-BY-UBM DE-188 DE-355 DE-BY-UBR |
| owner_facet | DE-92 DE-706 DE-1050 DE-20 DE-703 DE-19 DE-BY-UBM DE-188 DE-355 DE-BY-UBR |
| physical | xxx, 735 Seiten Illustrationen, Diagramme |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Lin, Johnny Wei-Bing 1972- Verfasser (DE-588)1268541915 aut An introduction to Python programming for scientists and engineers Johnny Wei-Bing Lin (University of Washington Bothell and North Park University), Hannah Aizenman (City College of New York), Erin Manette Cartas Espinel (Envestnet Tamarac), Kim Gunnerson (University of Washington Bothell), Joanne Liu (Novozymes A/S) Cambridge ; New York ; Melbourne ; New Delhi ; Singapore Cambridge University Press 2022 xxx, 735 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index "Most introductory programming textbooks are written with the assumption that the student thinks like a computer scientist. That is, writers assume that the student best learns programming by focusing on the structure and syntax of programming languages. The result is an introductory textbook that teaches programming in a way that is accessible to future programmers and developers but not as much to scientists or engineers who mainly want to investigate scientific problems. This textbook is written to teach programming to scientists and engineers, not to computer scientists. We assume that the reader has no background, formal or informal, in computer programming. It is organized around a scientist or engineer's workflow. What are the tasks of a scientist or engineer that a computer can help with? Doing calculations (e.g., Chapters 1 and 6), making a plot (e.g., Chapters 4 and 5), handling missing data (e.g., Chapter 15), and saving and storing data (e.g., Chapters 9 and 18) are just a few of the tasks we address. It teaches programming, not numerical methods, statistics, data analytics, or image processing. The level of math that the reader needs is modest so the text is accessible to a first-year college student. It provides examples pertinent to the natural sciences and engineering. Jupyter notebooks associated with this textbook provide structured practice using examples from physics, chemistry, and biology, and additional notebooks for engineering are planned. For instance, the physics notebooks include problems dealing with electromagnetic fields, optics, and gravitational acceleration. Syntax is secondary. The primary goal is to teach the student how to use Python to do scientific and engineering work. Thus, we teach as much language syntax and structure as needed to do a task. Later, as we address more complex science and engineering tasks, we teach additional aspects of language syntax and structure. As a result, this textbook is not intended as a Python language reference where all (or most) of the aspects of a given feature of the language are addressed at the same time. It is paced for the beginner. This text offers many examples, explanations, and opportunities to practice.We take things slowly because learning is a step-by-step process, not a toss-intothe- deep-end process. As a result, this text is not concise, particularly"-- Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Python (Computer program language) Computer programming Engneering / Data processing SCIENCE / Earth Sciences / General Python Programmiersprache (DE-588)4434275-5 s DE-604 Aizenman, Hannah 1987- Verfasser (DE-588)1268543225 aut Espinel, Erin Manette Cartas 1965- Verfasser (DE-588)1268543616 aut Gunnerson, Kim 1965- Verfasser (DE-588)1268543896 aut Liu, Joanne Verfasser (DE-588)1268544310 aut |
| spellingShingle | Lin, Johnny Wei-Bing 1972- Aizenman, Hannah 1987- Espinel, Erin Manette Cartas 1965- Gunnerson, Kim 1965- Liu, Joanne An introduction to Python programming for scientists and engineers Python Programmiersprache (DE-588)4434275-5 gnd |
| subject_GND | (DE-588)4434275-5 |
| title | An introduction to Python programming for scientists and engineers |
| title_auth | An introduction to Python programming for scientists and engineers |
| title_exact_search | An introduction to Python programming for scientists and engineers |
| title_exact_search_txtP | An introduction to Python programming for scientists and engineers |
| title_full | An introduction to Python programming for scientists and engineers Johnny Wei-Bing Lin (University of Washington Bothell and North Park University), Hannah Aizenman (City College of New York), Erin Manette Cartas Espinel (Envestnet Tamarac), Kim Gunnerson (University of Washington Bothell), Joanne Liu (Novozymes A/S) |
| title_fullStr | An introduction to Python programming for scientists and engineers Johnny Wei-Bing Lin (University of Washington Bothell and North Park University), Hannah Aizenman (City College of New York), Erin Manette Cartas Espinel (Envestnet Tamarac), Kim Gunnerson (University of Washington Bothell), Joanne Liu (Novozymes A/S) |
| title_full_unstemmed | An introduction to Python programming for scientists and engineers Johnny Wei-Bing Lin (University of Washington Bothell and North Park University), Hannah Aizenman (City College of New York), Erin Manette Cartas Espinel (Envestnet Tamarac), Kim Gunnerson (University of Washington Bothell), Joanne Liu (Novozymes A/S) |
| title_short | An introduction to Python programming for scientists and engineers |
| title_sort | an introduction to python programming for scientists and engineers |
| topic | Python Programmiersprache (DE-588)4434275-5 gnd |
| topic_facet | Python Programmiersprache |
| work_keys_str_mv | AT linjohnnyweibing anintroductiontopythonprogrammingforscientistsandengineers AT aizenmanhannah anintroductiontopythonprogrammingforscientistsandengineers AT espinelerinmanettecartas anintroductiontopythonprogrammingforscientistsandengineers AT gunnersonkim anintroductiontopythonprogrammingforscientistsandengineers AT liujoanne anintroductiontopythonprogrammingforscientistsandengineers |