Python 3 using ChatGPT/GPT4 / / Oswald Campesato.

This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation tech...

Full description

Saved in:
Bibliographic Details
VerfasserIn:
Place / Publishing House:Dulles, VA : : Mercury Learning and Information, , [2023]
©2024
Year of Publication:2023
Language:English
Online Access:
Physical Description:1 online resource (184 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 9781501518737
ctrlnum (DE-B1597)667181
collection bib_alma
record_format marc
spelling Campesato, Oswald, author. aut http://id.loc.gov/vocabulary/relators/aut
Python 3 using ChatGPT/GPT4 / Oswald Campesato.
Dulles, VA : Mercury Learning and Information, [2023]
©2024
1 online resource (184 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Python 3 -- Chapter 2: Conditional Logic, Loops, and Functions -- Chapter 3: Python Data Structures -- Chapter 4: Introduction to NumPy and Pandas -- Chapter 5: ChatGPT and GPT-4 -- Chapter 6: ChatGPT and Python Code -- Index
restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star
This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. Later, the book covers loops, conditional logic, and reserved words in Python. You will also see how to handle user input, manage exceptions, and work with command-line arguments. Next, the text transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including ChatGPT, GPT-4, and their competitors, are presented to give readers an understanding of the current AI landscape. The book also sheds light on the capabilities of ChatGPT, its strengths, weaknesses, and potential applications. In addition, you will learn how to generate a variety of Python 3 code samples via ChatGPT using the “Code Interpreter” plugin. Code samples and figures from the book are available for downloading. In essence, the book provides a modest bridge between the worlds of Python programming and AI, aiming to equip readers with the knowledge and skills to navigate both domains confidently.
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Mrz 2024)
COMPUTERS / Programming Languages / Python. bisacsh
programming, AI, data science, data analysis, Python.
EPUB 9781501518799
print 9781501522284
https://doi.org/10.1515/9781501518737
https://www.degruyter.com/isbn/9781501518737
Cover https://www.degruyter.com/document/cover/isbn/9781501518737/original
language English
format eBook
author Campesato, Oswald,
Campesato, Oswald,
spellingShingle Campesato, Oswald,
Campesato, Oswald,
Python 3 using ChatGPT/GPT4 /
Frontmatter --
Contents --
Preface --
Chapter 1: Introduction to Python 3 --
Chapter 2: Conditional Logic, Loops, and Functions --
Chapter 3: Python Data Structures --
Chapter 4: Introduction to NumPy and Pandas --
Chapter 5: ChatGPT and GPT-4 --
Chapter 6: ChatGPT and Python Code --
Index
author_facet Campesato, Oswald,
Campesato, Oswald,
author_variant o c oc
o c oc
author_role VerfasserIn
VerfasserIn
author_sort Campesato, Oswald,
title Python 3 using ChatGPT/GPT4 /
title_full Python 3 using ChatGPT/GPT4 / Oswald Campesato.
title_fullStr Python 3 using ChatGPT/GPT4 / Oswald Campesato.
title_full_unstemmed Python 3 using ChatGPT/GPT4 / Oswald Campesato.
title_auth Python 3 using ChatGPT/GPT4 /
title_alt Frontmatter --
Contents --
Preface --
Chapter 1: Introduction to Python 3 --
Chapter 2: Conditional Logic, Loops, and Functions --
Chapter 3: Python Data Structures --
Chapter 4: Introduction to NumPy and Pandas --
Chapter 5: ChatGPT and GPT-4 --
Chapter 6: ChatGPT and Python Code --
Index
title_new Python 3 using ChatGPT/GPT4 /
title_sort python 3 using chatgpt/gpt4 /
publisher Mercury Learning and Information,
publishDate 2023
physical 1 online resource (184 p.)
Issued also in print.
contents Frontmatter --
Contents --
Preface --
Chapter 1: Introduction to Python 3 --
Chapter 2: Conditional Logic, Loops, and Functions --
Chapter 3: Python Data Structures --
Chapter 4: Introduction to NumPy and Pandas --
Chapter 5: ChatGPT and GPT-4 --
Chapter 6: ChatGPT and Python Code --
Index
isbn 9781501518737
9781501518799
9781501522284
url https://doi.org/10.1515/9781501518737
https://www.degruyter.com/isbn/9781501518737
https://www.degruyter.com/document/cover/isbn/9781501518737/original
illustrated Not Illustrated
doi_str_mv 10.1515/9781501518737
work_keys_str_mv AT campesatooswald python3usingchatgptgpt4
status_str n
ids_txt_mv (DE-B1597)667181
carrierType_str_mv cr
is_hierarchy_title Python 3 using ChatGPT/GPT4 /
_version_ 1795090193745707008
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03523nam a22005535i 4500</leader><controlfield tag="001">9781501518737</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20240306125748.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">240306t20232024xxu fo d z eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781501518737</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9781501518737</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)667181</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield code="b">eng</subfield><subfield code="c">DE-B1597</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">xxu</subfield><subfield code="c">US</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM051360</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Campesato, Oswald, </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Python 3 using ChatGPT/GPT4 /</subfield><subfield code="c">Oswald Campesato.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Dulles, VA : </subfield><subfield code="b">Mercury Learning and Information, </subfield><subfield code="c">[2023]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (184 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">Preface -- </subfield><subfield code="t">Chapter 1: Introduction to Python 3 -- </subfield><subfield code="t">Chapter 2: Conditional Logic, Loops, and Functions -- </subfield><subfield code="t">Chapter 3: Python Data Structures -- </subfield><subfield code="t">Chapter 4: Introduction to NumPy and Pandas -- </subfield><subfield code="t">Chapter 5: ChatGPT and GPT-4 -- </subfield><subfield code="t">Chapter 6: ChatGPT and Python Code -- </subfield><subfield code="t">Index</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. Later, the book covers loops, conditional logic, and reserved words in Python. You will also see how to handle user input, manage exceptions, and work with command-line arguments. Next, the text transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including ChatGPT, GPT-4, and their competitors, are presented to give readers an understanding of the current AI landscape. The book also sheds light on the capabilities of ChatGPT, its strengths, weaknesses, and potential applications. In addition, you will learn how to generate a variety of Python 3 code samples via ChatGPT using the “Code Interpreter” plugin. Code samples and figures from the book are available for downloading. In essence, the book provides a modest bridge between the worlds of Python programming and AI, aiming to equip readers with the knowledge and skills to navigate both domains confidently.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Mrz 2024)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Programming Languages / Python.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">programming, AI, data science, data analysis, Python.</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">EPUB</subfield><subfield code="z">9781501518799</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">print</subfield><subfield code="z">9781501522284</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9781501518737</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.degruyter.com/isbn/9781501518737</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="3">Cover</subfield><subfield code="u">https://www.degruyter.com/document/cover/isbn/9781501518737/original</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_CL_CHCOMSGSEN</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_DGALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ECL_CHCOMSGSEN</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EEBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ESTMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_STMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV-deGruyter-alles</subfield></datafield></record></collection>