000 | 02741nam a22003137a 4500 | ||
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999 |
_c129156 _d129156 |
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003 | phtghnu | ||
005 | 20231211135540.0 | ||
007 | ta | ||
008 | 231211b2022 xxc||||| |||| 00| 0 eng d | ||
020 |
_a9781774691588 _q(hardback) |
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040 |
_beng _cHNU _erda |
||
082 |
_223 _3GC _a005.133 P88 _b2022 |
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245 |
_aPractical python programming for data scientists / _cA. Suresh, N. Malarvizhi, Pethuru Raj and E. A. Neeba. |
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264 |
_aBurlington, On, Canada : _bArcler Press, _c©2022. |
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300 |
_axxii, 320 pages : _billustrations ; _c24 cm. |
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500 | _aIncludes index. | ||
505 | _aChapter 1 The Distinctions of Python Language Chapter 2 Demystifying the Data Science Paradigm Chapter 3 Python for Data Analysis Chapter 4 Python Programming: An Introduction Chapter 5 Functions Chapter 6 Control Structures Chapter 7 Strings Chapter 8 Lisits Chapter 9 Tuples Chapter 10 Dictionaries Chapter 11 Files Chapter 12 Modules and Packages Chapter 13 Classes in Python | ||
520 | _aPython is emerging as the leading programming language for data science projects, Python brings in a number of technical advantages for the successful implementation of data science applications. Due to the ready availability of several libraries for facilitating the development of data science services, Python is turning out the programming language of choice for data science. The book starts with a couple of chapters on data science and machine learning (ML) topics. Thereafter, the chapters are focusing on the fundamental and foundational aspects of Python programming language. All kinds of language constructs are accentuated and articulated for the benefit of programmers with all the practical details. There are dedicated chapters for producing machine learning applications This gist of the book is to clearly explain how Python simplifies and speeds up the realization of next-generation data science applications. All the specific libraries towards data science are given the required thrust in order to empower our esteemed readers with all the right and relevant information. This book is being prepared with the intention of empowering data scientists with all the vital details about programming using the Python language. | ||
521 |
_aCOECS _bBachelor of Science in Computer Engineering |
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521 |
_aCOECS _bBachelor of Science in Computer Science |
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546 | _aIn English | ||
650 | _aPython (Computer program language). | ||
700 | _aSuresh, A. | ||
700 | _aMalarvizhi, N. | ||
700 | _aRaj, Pethuru. | ||
700 | _aNeeba, E. A. | ||
942 |
_2ddc _cBK _h000-099 |