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| 001 | 978-981-19-7702-2 | ||
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| 005 | 20240423125547.0 | ||
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| 008 | 230630s2023 si | s |||| 0|eng d | ||
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_a10.1007/978-981-19-7702-2 _2doi |
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_aBorjigin, Chaolemen. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aPython Data Science _h[electronic resource] / _cby Chaolemen Borjigin. |
| 250 | _a1st ed. 2023. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023. |
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| 300 |
_aXII, 345 p. 1 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _a1. Python and Data Science -- 2. Basic Python Programming for Data Science -- 3. Advanced Python Programming for Data Science -- 4. Data preprocessing and wrangling -- 5. Data analysis algorithms and models. | |
| 520 | _aRather than presenting Python as Java or C, this book focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts. Unlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C principles in data science: creative design of data solutions, curiosity about the data lifecycle, and critical thinking regarding data insights. Q&A-based knowledge maps, tips and suggestions, notes, as well as warnings and cautions are employed to explain the key points, difficulties, and common mistakes in Python programming for data science. In addition, it includes suggestions for further reading. This textbook provides an open-source community via GitHub, and the course materials are licensed for free use under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). | ||
| 650 | 0 |
_aArtificial intelligence _xData processing. |
|
| 650 | 1 | 4 | _aData Science. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811977015 |
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_iPrinted edition: _z9789811977039 |
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_iPrinted edition: _z9789811995910 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-19-7702-2 |
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