Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[New York]
Apress
[2023]
|
| Edition: | Third edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781484295328/?ar |
| Summary: | Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This third edition is fully updated for the latest version of Python and its related libraries, and includes coverage of social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Third Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. What You'll Learn Understand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is For Experienced Python developers who need to learn about Pythonic tools for data analysis. |
| Item Description: | Place of publication from publisher's website. - Includes bibliographical references. - Description based on online resource; title from digital title page (viewed on October 06, 2023) |
| Physical Description: | 1 Online-Ressource (456 pages) illustrations (black and white, and color). |
| ISBN: | 9781484295328 1484295323 |
Staff View
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-096664452 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228122042.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231006s2023 xx |||||o 00| ||eng c | ||
| 020 | |a 9781484295328 |c electronic book |9 978-1-4842-9532-8 | ||
| 020 | |a 1484295323 |c electronic book |9 1-4842-9532-3 | ||
| 035 | |a (DE-627-1)096664452 | ||
| 035 | |a (DE-599)KEP096664452 | ||
| 035 | |a (ORHE)9781484295328 | ||
| 035 | |a (DE-627-1)096664452 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 072 | 7 | |a UMX |2 bicssc | |
| 072 | 7 | |a COM051360 |2 bisacsh | |
| 082 | 0 | |a 005.133 |2 23/eng/20230915 | |
| 100 | 1 | |a Nelli, Fabio |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Python data analytics |b with Pandas, NumPy, and Matplotlib |c Fabio Nelli |
| 250 | |a Third edition. | ||
| 264 | 1 | |a [New York] |b Apress |c [2023] | |
| 300 | |a 1 Online-Ressource (456 pages) |b illustrations (black and white, and color). | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Place of publication from publisher's website. - Includes bibliographical references. - Description based on online resource; title from digital title page (viewed on October 06, 2023) | ||
| 520 | |a Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This third edition is fully updated for the latest version of Python and its related libraries, and includes coverage of social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Third Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. What You'll Learn Understand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is For Experienced Python developers who need to learn about Pythonic tools for data analysis. | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 4 | |a Python (Langage de programmation) | |
| 776 | 1 | |z 9781484295311 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781484295311 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781484295328/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-096664452 |
|---|---|
| _version_ | 1835903254521708544 |
| adam_text | |
| any_adam_object | |
| author | Nelli, Fabio |
| author_facet | Nelli, Fabio |
| author_role | aut |
| author_sort | Nelli, Fabio |
| author_variant | f n fn |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)096664452 (DE-599)KEP096664452 (ORHE)9781484295328 |
| dewey-full | 005.133 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.133 |
| dewey-search | 005.133 |
| dewey-sort | 15.133 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | Third edition. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03154cam a22004212c 4500</leader><controlfield tag="001">ZDB-30-ORH-096664452</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228122042.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231006s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484295328</subfield><subfield code="c">electronic book</subfield><subfield code="9">978-1-4842-9532-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1484295323</subfield><subfield code="c">electronic book</subfield><subfield code="9">1-4842-9532-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)096664452</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP096664452</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781484295328</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)096664452</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">UMX</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM051360</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.133</subfield><subfield code="2">23/eng/20230915</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Nelli, Fabio</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Python data analytics</subfield><subfield code="b">with Pandas, NumPy, and Matplotlib</subfield><subfield code="c">Fabio Nelli</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Third edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[New York]</subfield><subfield code="b">Apress</subfield><subfield code="c">[2023]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (456 pages)</subfield><subfield code="b">illustrations (black and white, and color).</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Place of publication from publisher's website. - Includes bibliographical references. - Description based on online resource; title from digital title page (viewed on October 06, 2023)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This third edition is fully updated for the latest version of Python and its related libraries, and includes coverage of social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Third Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. What You'll Learn Understand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is For Experienced Python developers who need to learn about Pythonic tools for data analysis.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9781484295311</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781484295311</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781484295328/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-096664452 |
| illustrated | Illustrated |
| indexdate | 2025-06-25T12:16:21Z |
| institution | BVB |
| isbn | 9781484295328 1484295323 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (456 pages) illustrations (black and white, and color). |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Apress |
| record_format | marc |
| spelling | Nelli, Fabio VerfasserIn aut Python data analytics with Pandas, NumPy, and Matplotlib Fabio Nelli Third edition. [New York] Apress [2023] 1 Online-Ressource (456 pages) illustrations (black and white, and color). Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Place of publication from publisher's website. - Includes bibliographical references. - Description based on online resource; title from digital title page (viewed on October 06, 2023) Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This third edition is fully updated for the latest version of Python and its related libraries, and includes coverage of social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Third Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. What You'll Learn Understand the core concepts of data analysis and the Python ecosystem Go in depth with pandas for reading, writing, and processing data Use tools and techniques for data visualization and image analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is For Experienced Python developers who need to learn about Pythonic tools for data analysis. Python (Computer program language) Python (Langage de programmation) 9781484295311 Erscheint auch als Druck-Ausgabe 9781484295311 |
| spellingShingle | Nelli, Fabio Python data analytics with Pandas, NumPy, and Matplotlib Python (Computer program language) Python (Langage de programmation) |
| title | Python data analytics with Pandas, NumPy, and Matplotlib |
| title_auth | Python data analytics with Pandas, NumPy, and Matplotlib |
| title_exact_search | Python data analytics with Pandas, NumPy, and Matplotlib |
| title_full | Python data analytics with Pandas, NumPy, and Matplotlib Fabio Nelli |
| title_fullStr | Python data analytics with Pandas, NumPy, and Matplotlib Fabio Nelli |
| title_full_unstemmed | Python data analytics with Pandas, NumPy, and Matplotlib Fabio Nelli |
| title_short | Python data analytics |
| title_sort | python data analytics with pandas numpy and matplotlib |
| title_sub | with Pandas, NumPy, and Matplotlib |
| topic | Python (Computer program language) Python (Langage de programmation) |
| topic_facet | Python (Computer program language) Python (Langage de programmation) |
| work_keys_str_mv | AT nellifabio pythondataanalyticswithpandasnumpyandmatplotlib |