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    Python 3 and Data Analytics

Python 3 and Data Analytics

Oswald Campesato
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      FORMAT: Paperback / softback

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      As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available.FEATURES:Includes a concise introduction to Python 3.Provides a thorough introduction to data and data cleaning.Covers NumPy and Pandas.Introduces statistical concepts and data visualization (Matplotlib/Seaborn).Features an appendix on regular expressions.Includes companion files with source code and figures.
      Format: Paperback / softback CONTRIBUTORS: Oswald Campesato EAN: 9781683926542 COUNTRY: United States PAGES: WEIGHT: 550 g HEIGHT: 229 cm
      PUBLISHED BY: Mercury Learning & Information DATE PUBLISHED: 2021-03-29 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Languages / Python WIDTH: 178 cm SPINE:

      Book Themes:

      Information technology: general topics, Computer programming / software engineering, Artificial intelligence

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      Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning).
      As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available.FEATURES:Includes a concise introduction to Python 3.Provides a thorough introduction to data and data cleaning.Covers NumPy and Pandas.Introduces statistical concepts and data visualization (Matplotlib/Seaborn).Features an appendix on regular expressions.Includes companion files with source code and figures.
      Format: Paperback / softback CONTRIBUTORS: Oswald Campesato EAN: 9781683926542 COUNTRY: United States PAGES: WEIGHT: 550 g HEIGHT: 229 cm
      PUBLISHED BY: Mercury Learning & Information DATE PUBLISHED: 2021-03-29 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Languages / Python WIDTH: 178 cm SPINE:

      Book Themes:

      Information technology: general topics, Computer programming / software engineering, Artificial intelligence

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      Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning).

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